AI-103 - Azure AI Apps and Agents Developer Associate [7/2026, ENG]
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Files
| 01. NEW - AI-103 - Building the Foundation Models, Tools, and the Developer Workflow | |||
| 1. There's more that meets the eye with this course.vtt | 3.2 KB | ||
| 10. Azure-Free-Account.txt | 72 B | ||
| 10. Creating the Azure Free Account.vtt | 4.89 KB | ||
| 11. Getting started with Microsoft Foundry.mp4 | 74.88 MB | ||
| 12. Quick Tour of Microsoft Foundry.mp4 | 77.36 MB | ||
| 12. Quick Tour of Microsoft Foundry.vtt | 9.32 KB | ||
| 13. Deploying Models in Microsoft Foundry.mp4 | 96.63 MB | ||
| 13. Deploying Models in Microsoft Foundry.vtt | 11.21 KB | ||
| 14. Lab - Deploying Models in Microsoft Foundry.mp4 | 89.2 MB | ||
| 15. Review on model deployment.mp4 | 9.04 MB | ||
| 15. Review on model deployment.vtt | 2.87 KB | ||
| 16. Debugging model deployments.mp4 | 25.3 MB | ||
| 16. Debugging model deployments.vtt | 3.12 KB | ||
| 17. Getting Started Python Development with Microsoft Foundry.mp4 | 56.12 MB | ||
| 18. 2026-05-14_12-40-37-0151c510fb4c2444c9c532fe815a582b.jpg?042148 | 95.59 KB | ||
| 18. 2026-05-14_12-40-37-0dba2deb2cf3cb5036348d9af945ad5e.jpg?042148 | 37.49 KB | ||
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| 18. 2026-05-14_12-40-37-df5e0405d2417b86cd2bae18741cf8fa.jpg?042148 | 46.45 KB | ||
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| 18. 2026-05-14_12-40-38-af80e67c37364a530662c13c93568d55.jpg?042148 | 199.8 KB | ||
| 18. 2026-05-14_12-40-38-ce68c1eaac8d5083d5d90f1e05603758.jpg?042148 | 37.84 KB | ||
| 18. 2026-05-14_12-40-38-d22482da31d8e95f8cd46eebb6700556.jpg?042148 | 47.03 KB | ||
| 18. 2026-06-25_04-26-05-6a0eb023f3dde8a64cfea293b3c944a8.jpg?042148 | 113.82 KB | ||
| 18. 2026-06-25_04-26-05-ac85d5a917a986fe2bcdb10d0ddc72f2.png | 34.69 KB | ||
| 18. 2026-06-25_04-26-05-b0cb8a54ac596facad6b521c6b4ed7c3.png | 80.15 KB | ||
| 18. 2026-06-25_04-26-05-b6abf0fdc39d79e3e44703ad8e8a99bc.png | 77.04 KB | ||
| 18. 2026-06-25_04-26-06-3cd55d44a62c5209e5b8bd78148e362a.png | 143.84 KB | ||
| 18. 2026-06-25_04-26-06-5512204fe8d6fb48a53a58d2dc4dd2ff.png | 8.08 KB | ||
| 18. Installing Python and VS Code.html | 8.47 KB | ||
| 19. Lab - First API Call to a Foundry-Deployed Model.mp4 | 98.79 MB | ||
| 19. Lab - First API Call to a Foundry-Deployed Model.vtt | 18.93 KB | ||
| 19. OpenAI-Responses-API.txt | 62 B | ||
| 2. How each section is structured.mp4 | 42.97 MB | ||
| 2. How each section is structured.vtt | 5.47 KB | ||
| 20. Controlling Model Behaviour.mp4 | 36.87 MB | ||
| 21. Lab - Controlling Model Behaviour.mp4 | 69.3 MB | ||
| 22. Reasoning Effort Thinking Before Answering.mp4 | 74.96 MB | ||
| 23. Lab - Multi-modal models.mp4 | 60.43 MB | ||
| 24. OpenAI-Tools.txt | 51 B | ||
| 24. Tools and Models.mp4 | 82.6 MB | ||
| 25. Lab - Using the Web Search Tool.mp4 | 49.34 MB | ||
| 26. Lab - Code Interpreter Tool.mp4 | 26.3 MB | ||
| 27. Review of important aspects.mp4 | 53.39 MB | ||
| 27. Review of important aspects.vtt | 5.31 KB | ||
| 28.1 Section Quiz.html | 25 KB | ||
| 3. What are the objectives we are going to cover in this section.mp4 | 4.9 MB | ||
| 3. What are the objectives we are going to cover in this section.vtt | 1.96 KB | ||
| 4. PowerPoint Slides download.html | 360 B | ||
| 4. Slides.pdf | 21.84 MB | ||
| 5. 02. Section Code.zip | 1.18 MB | ||
| 5. Building_the_Foundation_Models_Tools_and_the_Developer_Diagrams-v1.pdf | 13.16 MB | ||
| 5. Code and resources download for this section.html | 743 B | ||
| 6. Generative AI Fundamentals.mp4 | 76.47 MB | ||
| 6. Generative AI Fundamentals.vtt | 7.22 KB | ||
| 7. Large Language Models vs Small Language Models.mp4 | 75.31 MB | ||
| 7. Large Language Models vs Small Language Models.vtt | 9.47 KB | ||
| 8. How People and Organizations use AI Models.mp4 | 30.44 MB | ||
| 8. How People and Organizations use AI Models.vtt | 3.49 KB | ||
| 9. Introduction to Microsoft Foundry.mp4 | 67.03 MB | ||
| 9. Introduction to Microsoft Foundry.vtt | 8.24 KB | ||
| 02. NEW - AI-103 - From Prompts to Agents Building RAG and Agentic Solutions | |||
| 1. 02. Section Code.zip | 9.32 MB | ||
| 1. Code and resources download for this section.html | 743 B | ||
| 1. From_Prompts_to_Agents_Building_RAG_and_Agentic_Solutions-v1.pdf | 11.57 MB | ||
| 10. Azure-Command-Line-Interface.txt | 66 B | ||
| 10. Let’s try to register our agent again.mp4 | 110.68 MB | ||
| 10. Let’s try to register our agent again.vtt | 8.76 KB | ||
| 11. Lab - Invoking our agent.mp4 | 36.19 MB | ||
| 11. Lab - Invoking our agent.vtt | 3.5 KB | ||
| 12. Our First AI Agent - Review.mp4 | 36.2 MB | ||
| 12. Our First AI Agent - Review.vtt | 3.86 KB | ||
| 13. Overview on Microsoft Entra ID.mp4 | 53.47 MB | ||
| 13. Overview on Microsoft Entra ID.vtt | 4.66 KB | ||
| 14. Quick tour on users and RBAC on Microsoft Entra ID.mp4 | 59.24 MB | ||
| 14. Quick tour on users and RBAC on Microsoft Entra ID.vtt | 5.38 KB | ||
| 15. Agent Tools in Microsoft Foundry.mp4 | 25.85 MB | ||
| 15. Agent Tools in Microsoft Foundry.vtt | 3.77 KB | ||
| 16. Lab - Agents - Web Search tool.mp4 | 39.87 MB | ||
| 16. Lab - Agents - Web Search tool.vtt | 4.5 KB | ||
| 17. Lab - Function Tool Calling - Defining the agent.mp4 | 114.24 MB | ||
| 17. Lab - Function Tool Calling - Defining the agent.vtt | 14.78 KB | ||
| 18. Lab - Function Tool Calling - Defining the application.mp4 | 112.75 MB | ||
| 18. Lab - Function Tool Calling - Defining the application.vtt | 9.49 KB | ||
| 19. Hosted agents.mp4 | 24.93 MB | ||
| 19. Hosted agents.vtt | 3.53 KB | ||
| 2. What are the objectives we are going to cover in this section.mp4 | 22.5 MB | ||
| 2. What are the objectives we are going to cover in this section.vtt | 3.37 KB | ||
| 20. Introduction to Retrieval Augmented Generation.mp4 | 15.91 MB | ||
| 20. Introduction to Retrieval Augmented Generation.vtt | 6.3 KB | ||
| 21. Lab - Retrieval Augmented Generation - Overview.mp4 | 43.57 MB | ||
| 21. Lab - Retrieval Augmented Generation - Overview.vtt | 3.92 KB | ||
| 22. Lab - Retrieval Augmented Generation - Data Preparation.mp4 | 70.93 MB | ||
| 22. Lab - Retrieval Augmented Generation - Data Preparation.vtt | 9.49 KB | ||
| 23. Lab - Retrieval Augmented Generation - Azure AI Search.mp4 | 58.99 MB | ||
| 23. Lab - Retrieval Augmented Generation - Azure AI Search.vtt | 4.99 KB | ||
| 24. Lab - Retrieval Augmented Generation - Building the search index.mp4 | 84.94 MB | ||
| 24. Lab - Retrieval Augmented Generation - Building the search index.vtt | 9.13 KB | ||
| 25. Lab - Retrieval Augmented Generation - Searching the index from Python.mp4 | 151.26 MB | ||
| 25. Lab - Retrieval Augmented Generation - Searching the index from Python.vtt | 18.55 KB | ||
| 26. Lab - Retrieval Augmented Generation - The Full Loop.mp4 | 129.38 MB | ||
| 26. Lab - Retrieval Augmented Generation - The Full Loop.vtt | 11.65 KB | ||
| 27. Retrieval Augmented Generation - The Full Loop - Review.mp4 | 37.19 MB | ||
| 27. Retrieval Augmented Generation - The Full Loop - Review.vtt | 4.45 KB | ||
| 28. Lab - Lab - Retrieval Augmented Generation - Usage as a tool.mp4 | 39.19 MB | ||
| 28. Lab - Lab - Retrieval Augmented Generation - Usage as a tool.vtt | 4.5 KB | ||
| 29. Building an API-Powered Agent with OpenAPI Tools on Microsoft Foundry.mp4 | 53.01 MB | ||
| 29. Building an API-Powered Agent with OpenAPI Tools on Microsoft Foundry.vtt | 5.68 KB | ||
| 3. The Rise of Agentic AI.mp4 | 16.93 MB | ||
| 3. The Rise of Agentic AI.vtt | 5.4 KB | ||
| 30. The OpenAPI Specification — The Contract Behind the Tool.mp4 | 26.69 MB | ||
| 30. The OpenAPI Specification — The Contract Behind the Tool.vtt | 4.82 KB | ||
| 31. What Are Azure Functions.mp4 | 42.22 MB | ||
| 31. What Are Azure Functions.vtt | 7.09 KB | ||
| 32. Installing Azure Function Core tools.mp4 | 52.08 MB | ||
| 32. Installing Azure Function Core tools.vtt | 5.14 KB | ||
| 33. Lab - Building the CloudXeus Orders API with Azure Functions.mp4 | 78.15 MB | ||
| 33. Lab - Building the CloudXeus Orders API with Azure Functions.vtt | 8.37 KB | ||
| 34. Notes - Explaining the Function code.html | 5.96 KB | ||
| 35. Lab - Building the CloudXeus Orders API - Publishing our Function code.mp4 | 64.55 MB | ||
| 35. Lab - Building the CloudXeus Orders API - Publishing our Function code.vtt | 5.9 KB | ||
| 36. Writing the OpenAPI Spec for the CloudXeus Orders API.mp4 | 64 MB | ||
| 36. Writing the OpenAPI Spec for the CloudXeus Orders API.vtt | 6.93 KB | ||
| 37. Attaching the API to an Agent — The OpenAPI Tool in Action.mp4 | 36.36 MB | ||
| 37. Attaching the API to an Agent — The OpenAPI Tool in Action.vtt | 3.79 KB | ||
| 38. Connecting-OpenAI-Tools.txt | 108 B | ||
| 38. The Authentication Methods for OpenAPI Tools.mp4 | 12.78 MB | ||
| 38. The Authentication Methods for OpenAPI Tools.vtt | 1.43 KB | ||
| 39. Locking Down the CloudXeus API with a Function Key.mp4 | 53.29 MB | ||
| 39. Locking Down the CloudXeus API with a Function Key.vtt | 4.08 KB | ||
| 4. Building Your First AI Agent - The OpenAI SDK.mp4 | 13.51 MB | ||
| 4. Building Your First AI Agent - The OpenAI SDK.vtt | 4.36 KB | ||
| 40. Using OpenAPI Tools Review.mp4 | 28.69 MB | ||
| 40. Using OpenAPI Tools Review.vtt | 3.16 KB | ||
| 41. Let's check in on the costing aspect.mp4 | 45.06 MB | ||
| 41. Let's check in on the costing aspect.vtt | 4.01 KB | ||
| 42. 2026-06-26_08-53-43-4dfcfe12272830ea68f0152872d23bf7.png | 167.38 KB | ||
| 42. 2026-06-26_08-53-43-d671bd5ef8fc9496df9dc0b5738b3ae5.png | 139.72 KB | ||
| 42. Let’s perform a cleanup.html | 2.7 KB | ||
| 43.2 Section Quiz.html | 24.86 KB | ||
| 5. Lab - Building Your First AI Agent - The OpenAI SDK.mp4 | 204.67 MB | ||
| 5. Lab - Building Your First AI Agent - The OpenAI SDK.vtt | 16.64 KB | ||
| 6. Microsoft Foundry Agent Service Overview.mp4 | 46.49 MB | ||
| 6. Microsoft Foundry Agent Service Overview.vtt | 6.24 KB | ||
| 7. Lab - Creating a Prompt Agent in the Foundry Portal.mp4 | 35.71 MB | ||
| 7. Lab - Creating a Prompt Agent in the Foundry Portal.vtt | 4.67 KB | ||
| 8. Publishing, Routines, and Distributing Your Foundry Agent.mp4 | 39.46 MB | ||
| 8. Publishing, Routines, and Distributing Your Foundry Agent.vtt | 3.71 KB | ||
| 9. Lab - Building a prompt agent via code.mp4 | 112.43 MB | ||
| 9. Lab - Building a prompt agent via code.vtt | 12.58 KB | ||
| 03. NEW - AI-103 - Production-Ready AI Memory, Workflows, Monitoring, and Safety | |||
| 1. 02. Section Code.zip | 13.82 KB | ||
| 1. Code and resources download for this section.html | 743 B | ||
| 1. Production-Ready_AI_Memory_Workflows_Monitoring_and_Safety-v1.pdf | 5.86 MB | ||
| 10. Lab - Building Workflows in the Foundry Portal.mp4 | 54.15 MB | ||
| 10. Lab - Building Workflows in the Foundry Portal.vtt | 5.46 KB | ||
| 11. Lab - Capturing IntakeAgent's Output as Structured Data.mp4 | 60.69 MB | ||
| 11. Lab - Capturing IntakeAgent's Output as Structured Data.vtt | 6.14 KB | ||
| 12. Lab - Adding conditions to the workflow.mp4 | 33.25 MB | ||
| 12. Lab - Adding conditions to the workflow.vtt | 3.92 KB | ||
| 13. Managing Quotas, Scaling, Rate Limits, and Cost.mp4 | 13.67 MB | ||
| 13. Managing Quotas, Scaling, Rate Limits, and Cost.vtt | 4.78 KB | ||
| 14. Quick look at Managing Quotas and limits.mp4 | 17.39 MB | ||
| 14. Quick look at Managing Quotas and limits.vtt | 2.14 KB | ||
| 15. Monitoring AI Workloads - Foundry Observability and Search Health.mp4 | 38.64 MB | ||
| 15. Monitoring AI Workloads - Foundry Observability and Search Health.vtt | 4.83 KB | ||
| 16. Evaluators - The Measuring Instruments of AI Quality.mp4 | 37.22 MB | ||
| 16. Evaluators - The Measuring Instruments of AI Quality.vtt | 4.45 KB | ||
| 17. Lab - Enabling Continuous Evaluation on an Agent - Adding Applicat.mp4 | 57.9 MB | ||
| 17. Lab - Enabling Continuous Evaluation on an Agent - Adding Applicat.vtt | 5.38 KB | ||
| 17. Lab - Enabling Continuous Evaluation on an Agent - Adding Application Insights.vtt | 5.38 KB | ||
| 18. Lab - Enabling Continuous Evaluation on an Agent -Creating the evaluation.mp4 | 90.51 MB | ||
| 18. Lab - Enabling Continuous Evaluation on an Agent -Creating the evaluation.vtt | 13.89 KB | ||
| 19. Improving Response Completeness.mp4 | 33.1 MB | ||
| 19. Improving Response Completeness.vtt | 3.15 KB | ||
| 2. What are the objectives we are going to cover in this section.mp4 | 21.79 MB | ||
| 2. What are the objectives we are going to cover in this section.vtt | 1.99 KB | ||
| 20. Diagnostic Settings and Resource-Level Monitoring.mp4 | 55.11 MB | ||
| 20. Diagnostic Settings and Resource-Level Monitoring.vtt | 9.11 KB | ||
| 21. Agent Tracing - Concepts and Overview.mp4 | 8.36 MB | ||
| 21. Agent Tracing - Concepts and Overview.vtt | 3.09 KB | ||
| 22. Introduction to Guardrails in Microsoft Foundry.mp4 | 22.65 MB | ||
| 22. Introduction to Guardrails in Microsoft Foundry.vtt | 3.64 KB | ||
| 23. Content Filters in Action - Harm Categories on the Support Agent.mp4 | 63.74 MB | ||
| 23. Content Filters in Action - Harm Categories on the Support Agent.vtt | 5.8 KB | ||
| 24. Prompt Shields.mp4 | 20.7 MB | ||
| 24. Prompt Shields.vtt | 3.31 KB | ||
| 25. Microsoft-Foundry-guardrails-and-controls.txt | 78 B | ||
| 25. Review of Guardrails and controls.mp4 | 54.98 MB | ||
| 25. Review of Guardrails and controls.vtt | 5.67 KB | ||
| 26. Model Router in Microsoft Foundry.mp4 | 15.07 MB | ||
| 26. Model Router in Microsoft Foundry.vtt | 2.02 KB | ||
| 27. Lab - Model Router in Microsoft Foundry.mp4 | 22.16 MB | ||
| 27. Lab - Model Router in Microsoft Foundry.vtt | 2.26 KB | ||
| 28.3 Section Quiz.html | 23.55 KB | ||
| 3. Understanding State Conversations, Session Context, and Memory.mp4 | 15.06 MB | ||
| 3. Understanding State Conversations, Session Context, and Memory.vtt | 4.98 KB | ||
| 4. How Memory Works The Memory Lifecycle, Memory Types, and Scope.mp4 | 18.41 MB | ||
| 4. How Memory Works The Memory Lifecycle, Memory Types, and Scope.vtt | 5.94 KB | ||
| 5. Lab - Agents and Conversations.mp4 | 104.33 MB | ||
| 5. Lab - Agents and Conversations.vtt | 10.7 KB | ||
| 6. Lab - Giving the Agent Memory Memory Stores and the Memory Search Tool.mp4 | 54.99 MB | ||
| 6. Lab - Giving the Agent Memory Memory Stores and the Memory Search Tool.vtt | 6.14 KB | ||
| 7. Review of conversations and memory.mp4 | 36.73 MB | ||
| 7. Review of conversations and memory.vtt | 4.41 KB | ||
| 8. Introduction to Workflows.mp4 | 10.2 MB | ||
| 8. Introduction to Workflows.vtt | 3.31 KB | ||
| 9. Lab - Creating the CloudXeus Agents.mp4 | 69.39 MB | ||
| 9. Lab - Creating the CloudXeus Agents.vtt | 6.77 KB | ||
| 04. NEW - AI-103 - The Wider Ecosystem LangChain, LangGraph, and the Model Context P | |||
| 1. 02. Section Code.zip | 4.66 MB | ||
| 1. Code and resources download for this section.html | 743 B | ||
| 1. The_Wider_Ecosystem_LangChain_LangGraph_and_the_Model_Context_Protocol.pdf | 9.54 MB | ||
| 10. Lab - Building an agent using LangGraph.mp4 | 167.67 MB | ||
| 11. What is the Model Context Protocol.mp4 | 12.7 MB | ||
| 12. Why was the Model Context Protocol designed.mp4 | 59.12 MB | ||
| 13. Calling an Azure MCP Server - Primer.mp4 | 55.83 MB | ||
| 14. Lab - Azure MCP Server deployment.mp4 | 80.2 MB | ||
| 15. Lab - Talking to the Azure MCP Server.mp4 | 112.45 MB | ||
| 16. Lab - Building our own MCP Server.mp4 | 72.99 MB | ||
| 17. Lab - Talking to our custom MCP server.mp4 | 21.2 MB | ||
| 2. Introduction to LangChain.mp4 | 41.47 MB | ||
| 3. LangChain Agent Core Components.mp4 | 68.2 MB | ||
| 4. Lab - Getting started with LangChain.mp4 | 97.18 MB | ||
| 4. LangChain.txt | 26 B | ||
| 5. Building a LangChain agent.mp4 | 6.74 MB | ||
| 6. Lab - Building an agent using LangChain.mp4 | 96.75 MB | ||
| 7. Tracing LangChain Agents with OpenTelemetry and Application Insights.mp4 | 49.49 MB | ||
| 7. Tracing LangChain Agents with OpenTelemetry and Application Insights.vtt | 4.87 KB | ||
| 8. Introduction to LangGraph.mp4 | 12.2 MB | ||
| 9. Building an agent using LangGraph - Implementation overview.mp4 | 8.04 MB | ||
| 05. NEW - AI-103 - Implement computer vision solutions | |||
| 1. 02. Section Code.zip | 10.19 MB | ||
| 1. Code and resources download for this section.html | 743 B | ||
| 1. Implement_computer_vision_solutions.pdf | 4.51 MB | ||
| 10. Lab - Using Guardrails for Text Moderation.mp4 | 37.54 MB | ||
| 10. Lab - Using Guardrails for Text Moderation.vtt | 4.54 KB | ||
| 11. Trying to moderate image content.mp4 | 24.54 MB | ||
| 11. Trying to moderate image content.vtt | 2.66 KB | ||
| 12. Azure-AI-Content-Safety.txt | 75 B | ||
| 12. Lab - Building an Azure AI Content Safety resource.mp4 | 36.1 MB | ||
| 12. Lab - Building an Azure AI Content Safety resource.vtt | 4.64 KB | ||
| 13. Lab - Moderating images using Azure AI Content Safety.mp4 | 52.13 MB | ||
| 13. Lab - Moderating images using Azure AI Content Safety.vtt | 4.81 KB | ||
| 14.4 Section Quiz.html | 24.84 KB | ||
| 2. Lab - Sending Images as Context - Vision Input on Chat Models.mp4 | 45.24 MB | ||
| 2. Lab - Sending Images as Context - Vision Input on Chat Models.vtt | 4.92 KB | ||
| 3. Using models to generate images.mp4 | 52.38 MB | ||
| 3. Using models to generate images.vtt | 4.59 KB | ||
| 4. Lab - Using python and models to generate images.mp4 | 21.65 MB | ||
| 4. Lab - Using python and models to generate images.vtt | 2.95 KB | ||
| 5. Image editing with generative models.mp4 | 24.32 MB | ||
| 5. Image editing with generative models.vtt | 2.85 KB | ||
| 6. Lab - Prompt-driven image modification.mp4 | 23.8 MB | ||
| 6. Lab - Prompt-driven image modification.vtt | 2.51 KB | ||
| 7. Lab - Mask-based image modification.mp4 | 16.93 MB | ||
| 7. Lab - Mask-based image modification.vtt | 2.15 KB | ||
| 8. Prompt Shields for Documents - Defending Against Indirect Prompt Injection.mp4 | 6.72 MB | ||
| 8. Prompt Shields for Documents - Defending Against Indirect Prompt Injection.vtt | 2.24 KB | ||
| 9. Trying out Prompt Shields for Documents.mp4 | 41.6 MB | ||
| 9. Trying out Prompt Shields for Documents.vtt | 4.42 KB | ||
| 06. NEW - AI-103 - Implement text analysis solutions | |||
| 1. 02. Section Code.zip | 4.55 MB | ||
| 1. Code and resources download for this section.html | 743 B | ||
| 1. Implement_text_analysis_solutions.pdf | 126.27 KB | ||
| 10. Lab - Prebuilt Named Entity Recognition with Azure Language.mp4 | 28.44 MB | ||
| 10. Lab - Prebuilt Named Entity Recognition with Azure Language.vtt | 3.68 KB | ||
| 11. The Azure Language MCP Server.mp4 | 18.18 MB | ||
| 11. The Azure Language MCP Server.vtt | 2.82 KB | ||
| 12. Lab - Using the Azure MCP Language Server.mp4 | 51.9 MB | ||
| 12. Lab - Using the Azure MCP Language Server.vtt | 6.45 KB | ||
| 13. Lab - Listing Tools on the Azure Language MCP Server.mp4 | 28.11 MB | ||
| 13. Lab - Listing Tools on the Azure Language MCP Server.vtt | 3.24 KB | ||
| 14. Lab - Translating Text with Azure Translator.mp4 | 42.04 MB | ||
| 14. Lab - Translating Text with Azure Translator.vtt | 3.32 KB | ||
| 15. Speech & Voice Arc.mp4 | 38.03 MB | ||
| 15. Speech & Voice Arc.vtt | 4.68 KB | ||
| 16. Speech to Text.mp4 | 28.15 MB | ||
| 16. Speech to Text.vtt | 3.79 KB | ||
| 17. Lab - Speech to Text via Code.mp4 | 64.12 MB | ||
| 17. Lab - Speech to Text via Code.vtt | 5.22 KB | ||
| 18. Lab - Real-Time Speech Recognition.mp4 | 54.67 MB | ||
| 18. Lab - Real-Time Speech Recognition.vtt | 5.71 KB | ||
| 19. Text to Speech.mp4 | 14.9 MB | ||
| 19. Text to Speech.vtt | 2.02 KB | ||
| 2. Applying Language Models to Text Analysis.mp4 | 57.33 MB | ||
| 2. Applying Language Models to Text Analysis.vtt | 5.04 KB | ||
| 20. Lab - Text-to-Speech.mp4 | 38.62 MB | ||
| 20. Lab - Text-to-Speech.vtt | 3.96 KB | ||
| 21. Speech as an Agent Modality the Azure Speech MCP Server.mp4 | 9.55 MB | ||
| 21. Speech as an Agent Modality the Azure Speech MCP Server.vtt | 3.07 KB | ||
| 22. Lab - Wiring CloudXeus's agent to the Speech MCP Server.mp4 | 75.16 MB | ||
| 22. Lab - Wiring CloudXeus's agent to the Speech MCP Server.vtt | 6.33 KB | ||
| 23. Voice Live API - The Big Picture.mp4 | 11.88 MB | ||
| 23. Voice Live API - The Big Picture.vtt | 3.99 KB | ||
| 24. Voice Live API - Demo.mp4 | 26.73 MB | ||
| 24. Voice Live API - Demo.vtt | 3.57 KB | ||
| 25. Speech Translation vs. LLM Speech.mp4 | 11.19 MB | ||
| 25. Speech Translation vs. LLM Speech.vtt | 3.39 KB | ||
| 26. Lab - Speech Translation.mp4 | 38.62 MB | ||
| 26. Lab - Speech Translation.vtt | 3.96 KB | ||
| 27.5 Section Quiz.html | 23.45 KB | ||
| 3. Lab - Naive Prompting for Entities and Topics.mp4 | 67.28 MB | ||
| 3. Lab - Naive Prompting for Entities and Topics.vtt | 5.88 KB | ||
| 4. Lab - Structured JSON Output.mp4 | 69.03 MB | ||
| 4. Lab - Structured JSON Output.vtt | 8.35 KB | ||
| 5. Lab - Detecting Sentiment and Tone.mp4 | 47.22 MB | ||
| 5. Lab - Detecting Sentiment and Tone.vtt | 4.92 KB | ||
| 6. Lab - Translating Text.mp4 | 28.57 MB | ||
| 6. Lab - Translating Text.vtt | 3.02 KB | ||
| 7. Azure AI Language.mp4 | 27.3 MB | ||
| 7. Azure AI Language.vtt | 3.72 KB | ||
| 8. Lab - PII Detection and Redaction with Azure Language.mp4 | 77.43 MB | ||
| 8. Lab - PII Detection and Redaction with Azure Language.vtt | 8.21 KB | ||
| 9. Lab - Language Detection with Azure Language.mp4 | 16.39 MB | ||
| 9. Lab - Language Detection with Azure Language.vtt | 1.93 KB | ||
| 07. NEW - AI-103 - Implement information extraction solutions | |||
| 1. 02. Section Code.zip | 1.14 MB | ||
| 1. Code and resources download for this section.html | 743 B | ||
| 1. Implement_information_extraction_solutions.pdf | 4.02 MB | ||
| 10. Content Understanding with Agents.mp4 | 15.38 MB | ||
| 10. Content Understanding with Agents.vtt | 2 KB | ||
| 11. Lab - Content Understanding with Agents.mp4 | 30.85 MB | ||
| 11. Lab - Content Understanding with Agents.vtt | 2.98 KB | ||
| 12. Introduction to Azure AI Search for RAG.mp4 | 53.49 MB | ||
| 12. Introduction to Azure AI Search for RAG.vtt | 6.47 KB | ||
| 13. Search Indexes, Indexers, and Data Sources.mp4 | 41.63 MB | ||
| 13. Search Indexes, Indexers, and Data Sources.vtt | 5.29 KB | ||
| 14. Lab - Ingesting documents from Azure Blob Storage.mp4 | 18.32 MB | ||
| 14. Lab - Ingesting documents from Azure Blob Storage.vtt | 2.64 KB | ||
| 15. Lab - Azure AI Search - Data sources.mp4 | 16.08 MB | ||
| 15. Lab - Azure AI Search - Data sources.vtt | 2.02 KB | ||
| 16. Lab - Azure AI Search - Creating the index.mp4 | 32.72 MB | ||
| 16. Lab - Azure AI Search - Creating the index.vtt | 4.09 KB | ||
| 17. Lab - Azure AI Search - Creating the indexer.mp4 | 12.14 MB | ||
| 17. Lab - Azure AI Search - Creating the indexer.vtt | 1.54 KB | ||
| 18. Lab - Azure AI Search - Queries.mp4 | 6.98 MB | ||
| 18. Lab - Azure AI Search - Queries.vtt | 2.28 KB | ||
| 19. AI Enrichment and Skillsets.mp4 | 50.19 MB | ||
| 19. AI Enrichment and Skillsets.vtt | 5.7 KB | ||
| 2. What is Azure Content Understanding.mp4 | 51.63 MB | ||
| 2. What is Azure Content Understanding.vtt | 7.05 KB | ||
| 20. Lab - AI Enrichment and Skillsets.mp4 | 66.21 MB | ||
| 20. Lab - AI Enrichment and Skillsets.vtt | 7.66 KB | ||
| 21. Connecting Azure AI Search to an Agent.mp4 | 34 MB | ||
| 21. Connecting Azure AI Search to an Agent.vtt | 4.5 KB | ||
| 22. Lab - Connecting Azure AI Search to an Agent.mp4 | 19.09 MB | ||
| 22. Lab - Connecting Azure AI Search to an Agent.vtt | 1.87 KB | ||
| 23.6 Section Quiz.html | 23.41 KB | ||
| 3. Document Analysis - OCR, Layout, Tables, and Fields.mp4 | 51.57 MB | ||
| 3. Document Analysis - OCR, Layout, Tables, and Fields.vtt | 7.2 KB | ||
| 4. Analyzers-in-Azure-Content-Understanding.txt | 101 B | ||
| 4. Lab - Azure Content Understanding - Document Analysis.mp4 | 142.91 MB | ||
| 4. Lab - Azure Content Understanding - Document Analysis.vtt | 11.32 KB | ||
| 4. What-is-Azure-Content-Understanding.txt | 82 B | ||
| 5. Review of document analysis with Azure Content Understanding.mp4 | 84.64 MB | ||
| 5. Review of document analysis with Azure Content Understanding.vtt | 7.61 KB | ||
| 6. Lab - Python - Analyze an Invoice with Azure Content Understanding.mp4 | 55.18 MB | ||
| 6. Lab - Python - Analyze an Invoice with Azure Content Understanding.vtt | 4.76 KB | ||
| 7. Visual Understanding with Image Analyzers.mp4 | 36.04 MB | ||
| 7. Visual Understanding with Image Analyzers.vtt | 3.27 KB | ||
| 8. Lab - Visual Understanding with Image Analyzers.mp4 | 24.7 MB | ||
| 8. Lab - Visual Understanding with Image Analyzers.vtt | 2.08 KB | ||
| 9. Standard Mode and Pro Mode Pipelines in Azure Content Understanding.mp4 | 47.69 MB | ||
| 9. Standard Mode and Pro Mode Pipelines in Azure Content Understanding.vtt | 5.6 KB | ||
| 08. AI-103 - Practice Section | |||
| 1. 02. Section Code.zip | 5.55 MB | ||
| 1. Capstone Project - Resources.html | 166 B | ||
| 1. Capstone Project Overview.pptx | 12.86 MB | ||
| 1. Capstone_Project_Diagrams.pdf | 5.47 MB | ||
| 10. Azure Content Understanding - Custom Analyzer - Invoice storage.mp4 | 24.65 MB | ||
| 10. Azure Content Understanding - Custom Analyzer - Invoice storage.vtt | 3.32 KB | ||
| 11. Azure Content Understanding - Custom Analyzer - Building the analyzer.mp4 | 81.62 MB | ||
| 11. Azure Content Understanding - Custom Analyzer - Building the analyzer.vtt | 7.31 KB | ||
| 12. Azure-Document-Intelligence.txt | 103 B | ||
| 12. What is Azure Document Intelligence.mp4 | 17.13 MB | ||
| 12. What is Azure Document Intelligence.vtt | 1.91 KB | ||
| 13. Using Azure Document Intelligence.mp4 | 71.03 MB | ||
| 13. Using Azure Document Intelligence.vtt | 6.42 KB | ||
| 14. Managing model updates.mp4 | 18.58 MB | ||
| 14. Managing model updates.vtt | 2.94 KB | ||
| 15. Building the CloudXeus Invoice Intelligence Agent - Remote Tool connection.mp4 | 55.08 MB | ||
| 15. Building the CloudXeus Invoice Intelligence Agent - Remote Tool connection.vtt | 4.41 KB | ||
| 16. Building the CloudXeus Invoice Intelligence Agent.mp4 | 37.82 MB | ||
| 16. Building the CloudXeus Invoice Intelligence Agent.vtt | 2.85 KB | ||
| 17. Using the CloudXeus Invoice Intelligence Agent.mp4 | 65.3 MB | ||
| 17. Using the CloudXeus Invoice Intelligence Agent.vtt | 5.25 KB | ||
| 18. Using Azure AI Content Safety.mp4 | 55.07 MB | ||
| 18. Using Azure AI Content Safety.vtt | 4.88 KB | ||
| 19. Important points when it comes to workflows.mp4 | 44.88 MB | ||
| 19. Important points when it comes to workflows.vtt | 4.57 KB | ||
| 2. Capstone Project Overview Building the CloudXeus AI Course Assistant.mp4 | 46.39 MB | ||
| 2. Capstone Project Overview Building the CloudXeus AI Course Assistant.vtt | 4.29 KB | ||
| 20.1 Practice Test 01.html | 89.58 KB | ||
| 21.2 Practice Test 02.html | 100.84 KB | ||
| 3. Preparing the Data Store Uploading Course PDFs to Azure Blob Storage.mp4 | 57.89 MB | ||
| 3. Preparing the Data Store Uploading Course PDFs to Azure Blob Storage.vtt | 6.25 KB | ||
| 4. Understanding Knowledge Sources and Knowledge Bases for Agentic Retrieval.mp4 | 33.97 MB | ||
| 4. Understanding Knowledge Sources and Knowledge Bases for Agentic Retrieval.vtt | 6.15 KB | ||
| 5. Knowledge source pre-requisites - Deploying the models.mp4 | 71.19 MB | ||
| 5. Knowledge source pre-requisites - Deploying the models.vtt | 9 KB | ||
| 6. Knowledge source pre-requisites - Assigning permissions.mp4 | 99.32 MB | ||
| 6. Knowledge source pre-requisites - Assigning permissions.vtt | 9.89 KB | ||
| 7. Creating the Knowledge Source for Agentic Retrieval.mp4 | 23.02 MB | ||
| 7. Creating the Knowledge Source for Agentic Retrieval.vtt | 2.57 KB | ||
| 8. Creating the Knowledge Base for Agentic Retrieval.mp4 | 40.79 MB | ||
| 8. Creating the Knowledge Base for Agentic Retrieval.vtt | 5.82 KB | ||
| 9. Advanced Data Parsing for Scanned PDFs and Multi-Page Tables.mp4 | 76.75 MB | ||
| 9. Advanced Data Parsing for Scanned PDFs and Multi-Page Tables.vtt | 6.53 KB | ||
| 09. AI-102 - Planning an Azure AI solution | |||
| 1. All-Prompts.pdf | 360.03 KB | ||
| 1. Code - v2.zip | 32.34 MB | ||
| 1. Course resources download.html | 515 B | ||
| 1. Diagrams.pdf | 6.23 MB | ||
| 1. Slides.pdf | 11.37 MB | ||
| 10. What is a Multi-modal LLM.mp4 | 50.14 MB | ||
| 10. What is a Multi-modal LLM.vtt | 2.44 KB | ||
| 11. OpenAI API Platform - Sign-up.mp4 | 54.11 MB | ||
| 11. OpenAI API Platform - Sign-up.vtt | 6.71 KB | ||
| 11. OpenAI-Creating-an-account.txt | 38 B | ||
| 12. OpenAI API Platform- Using the playground.mp4 | 78.72 MB | ||
| 12. OpenAI API Platform- Using the playground.vtt | 11.9 KB | ||
| 13. OpenAI API Platform - System Messages.mp4 | 41.65 MB | ||
| 13. OpenAI API Platform - System Messages.vtt | 5.56 KB | ||
| 14. What’s next.mp4 | 29.38 MB | ||
| 14. What’s next.vtt | 1.35 KB | ||
| 15. Introduction to Azure.mp4 | 32.4 MB | ||
| 15. Introduction to Azure.vtt | 2.47 KB | ||
| 16. The Azure Free Account.mp4 | 49.9 MB | ||
| 16. The Azure Free Account.vtt | 4.52 KB | ||
| 17. Creating the Azure Free Account.mp4 | 39.66 MB | ||
| 17. Creating the Azure Free Account.vtt | 5.25 KB | ||
| 17. Creating-an-Azure-Free-account.txt | 94 B | ||
| 18. Tour around the Azure portal.mp4 | 20.82 MB | ||
| 18. Tour around the Azure portal.vtt | 3.26 KB | ||
| 19. Azure AI services.mp4 | 44.28 MB | ||
| 19. Azure AI services.vtt | 4.44 KB | ||
| 2. Introduction.mp4 | 57.42 MB | ||
| 2. Introduction.vtt | 3.28 KB | ||
| 20. AI Safety and Responsibility.mp4 | 69.65 MB | ||
| 20. AI Safety and Responsibility.vtt | 3.33 KB | ||
| 3. A brief understanding on Machine Learning.mp4 | 86.8 MB | ||
| 3. A brief understanding on Machine Learning.vtt | 10.08 KB | ||
| 4. Generative AI.mp4 | 63.93 MB | ||
| 4. Generative AI.vtt | 3.13 KB | ||
| 5. Let’s start with ChatGPT.mp4 | 39.53 MB | ||
| 5. Let’s start with ChatGPT.vtt | 7.26 KB | ||
| 6. What are Large Language Models.mp4 | 104.03 MB | ||
| 6. What are Large Language Models.vtt | 5.7 KB | ||
| 7. What is GPT(Generative Pre-Trained Transformer).mp4 | 75.89 MB | ||
| 7. What is GPT(Generative Pre-Trained Transformer).vtt | 3.5 KB | ||
| 8. Note on images used in this course.mp4 | 7.49 MB | ||
| 8. Note on images used in this course.vtt | 2.22 KB | ||
| 9. OpenAI - Understanding the Model Lineup.mp4 | 52.53 MB | ||
| 9. OpenAI - Understanding the Model Lineup.vtt | 6.98 KB | ||
| 9. OpenAI-Models.txt | 39 B | ||
| 10. AI-102 - Implement Generative AI solutions | |||
| 1. Azure Open AI and Azure AI Foundry.mp4 | 32.66 MB | ||
| 1. Azure Open AI and Azure AI Foundry.vtt | 3.74 KB | ||
| 10. Lab - Azure AI Foundry - System prompt.mp4 | 33.94 MB | ||
| 10. Lab - Azure AI Foundry - System prompt.vtt | 4.71 KB | ||
| 11. Lab - Azure AI Foundry - Image Generation.mp4 | 60.35 MB | ||
| 11. Lab - Azure AI Foundry - Image Generation.vtt | 6.3 KB | ||
| 12. Prompt Engineering - Basic Prompt fundamentals.mp4 | 62.29 MB | ||
| 12. Prompt Engineering - Basic Prompt fundamentals.vtt | 7.4 KB | ||
| 13. Prompt Engineering - Zero-shot Prompting.mp4 | 35.15 MB | ||
| 13. Prompt Engineering - Zero-shot Prompting.vtt | 5.04 KB | ||
| 14. Prompt Engineering - Few-shot Prompting.mp4 | 22.54 MB | ||
| 14. Prompt Engineering - Few-shot Prompting.vtt | 3.37 KB | ||
| 15. Prompt Engineering - Chain-of-Thought Prompting.mp4 | 45.88 MB | ||
| 15. Prompt Engineering - Chain-of-Thought Prompting.vtt | 6.44 KB | ||
| 16. Lab - Installing Python.mp4 | 9.44 MB | ||
| 16. Lab - Installing Python.vtt | 1.32 KB | ||
| 16. Python-download.txt | 33 B | ||
| 17. Lab - Installing Visual Studio Code.mp4 | 9.16 MB | ||
| 17. Lab - Installing Visual Studio Code.vtt | 1.15 KB | ||
| 17. VS-Code-download.txt | 38 B | ||
| 18. Lab - Running a simple Python program.mp4 | 16.83 MB | ||
| 18. Lab - Running a simple Python program.vtt | 2.55 KB | ||
| 19. Lab - GPT 5 - REST API.mp4 | 85.03 MB | ||
| 19. Lab - GPT 5 - REST API.vtt | 11.51 KB | ||
| 2. Deploying an Azure AI Foundry resource - Overview.mp4 | 31.59 MB | ||
| 2. Deploying an Azure AI Foundry resource - Overview.vtt | 4 KB | ||
| 20. Lab - Python - GPT 5 - Chat Completion API.mp4 | 131.75 MB | ||
| 20. Lab - Python - GPT 5 - Chat Completion API.vtt | 13.35 KB | ||
| 20. OpenAI-Chat-Completions-API.txt | 51 B | ||
| 21. Lab - Python - GPT 5 - System Messages.mp4 | 36.55 MB | ||
| 21. Lab - Python - GPT 5 - System Messages.vtt | 5.03 KB | ||
| 22. Lab - Python - GPT 5 - Getting the entire response.mp4 | 20.49 MB | ||
| 22. Lab - Python - GPT 5 - Getting the entire response.vtt | 3.09 KB | ||
| 23. Quick note on monitoring the model usage.mp4 | 6.28 MB | ||
| 23. Quick note on monitoring the model usage.vtt | 1.51 KB | ||
| 24. Lab - Multi-Modal support for models.mp4 | 71.23 MB | ||
| 24. Lab - Multi-Modal support for models.vtt | 8.22 KB | ||
| 25. Lab - Python - GPT 5- Asking the model to explain code.mp4 | 82.88 MB | ||
| 25. Lab - Python - GPT 5- Asking the model to explain code.vtt | 8.22 KB | ||
| 26. Lab - Python - Using a model to generate an image.mp4 | 71.53 MB | ||
| 26. Lab - Python - Using a model to generate an image.vtt | 6.95 KB | ||
| 27. Fine Tune Azure OpenAI models.mp4 | 62.86 MB | ||
| 27. Fine Tune Azure OpenAI models.vtt | 6.52 KB | ||
| 28. Overview of Fine tuning a model.mp4 | 71.4 MB | ||
| 28. Overview of Fine tuning a model.vtt | 8.73 KB | ||
| 29. Retrieval Augmented Generation.mp4 | 42.1 MB | ||
| 29. Retrieval Augmented Generation.vtt | 6.66 KB | ||
| 3. Lab - Creating an Azure AI Foundry resource.mp4 | 50.4 MB | ||
| 3. Lab - Creating an Azure AI Foundry resource.vtt | 7.4 KB | ||
| 30. Azure-Blob-Storage.txt | 80 B | ||
| 30. Lab - Retrieval Augmented Generation - Azure Blob service.mp4 | 90.89 MB | ||
| 30. Lab - Retrieval Augmented Generation - Azure Blob service.vtt | 10.46 KB | ||
| 31. Lab - Retrieval Augmented Generation - Azure Search service.mp4 | 60.08 MB | ||
| 31. Lab - Retrieval Augmented Generation - Azure Search service.vtt | 8.79 KB | ||
| 32. Lab - Retrieval Augmented Generation - Implementation.mp4 | 47.2 MB | ||
| 32. Lab - Retrieval Augmented Generation - Implementation.vtt | 6.06 KB | ||
| 33. Lab - Retrieval Augmented Generation - Using Python.mp4 | 57.28 MB | ||
| 33. Lab - Retrieval Augmented Generation - Using Python.vtt | 6.93 KB | ||
| 34. Azure AI Content Safety.mp4 | 17.11 MB | ||
| 34. Azure AI Content Safety.vtt | 2.38 KB | ||
| 35. Lab - Azure AI Content Safety - Adding a content filer.mp4 | 58.75 MB | ||
| 35. Lab - Azure AI Content Safety - Adding a content filer.vtt | 5.64 KB | ||
| 36. Azure AI Content Safety - BlockList - Quick note.mp4 | 8.52 MB | ||
| 36. Azure AI Content Safety - BlockList - Quick note.vtt | 1.83 KB | ||
| 36. Azure-AI-Content-Safety-Blocklist.txt | 87 B | ||
| 37. Lab - Creating an Azure AI Content Safety resource.mp4 | 14.97 MB | ||
| 37. Lab - Creating an Azure AI Content Safety resource.vtt | 2.68 KB | ||
| 38. Lab - Azure Safety Content Studio.mp4 | 47.19 MB | ||
| 38. Lab - Azure Safety Content Studio.vtt | 7.33 KB | ||
| 39. Lab - Azure AI Content Safety Studio - Prompt Shield.mp4 | 17.62 MB | ||
| 39. Lab - Azure AI Content Safety Studio - Prompt Shield.vtt | 3.22 KB | ||
| 4. Launching the Azure AI Foundry portal.mp4 | 27.63 MB | ||
| 4. Launching the Azure AI Foundry portal.vtt | 4.3 KB | ||
| 40. Lab - Python - Azure AI Content Safety as a service - Detect Harmful images.mp4 | 106.87 MB | ||
| 40. Lab - Python - Azure AI Content Safety as a service - Detect Harmful images.vtt | 10.37 KB | ||
| 41. Lab - Python - Azure AI Content Safety as a service - Detect Harmful text.mp4 | 18.05 MB | ||
| 41. Lab - Python - Azure AI Content Safety as a service - Detect Harmful text.vtt | 2.78 KB | ||
| 42. Lab - Azure AI Content Safety - Making REST API calls.mp4 | 99.38 MB | ||
| 42. Lab - Azure AI Content Safety - Making REST API calls.vtt | 9.48 KB | ||
| 43. Lab - OpenAI - Using the New Responses API.mp4 | 59.18 MB | ||
| 43. Lab - OpenAI - Using the New Responses API.vtt | 5.48 KB | ||
| 43. OpenAI-Responses-API.txt | 56 B | ||
| 44. Lab - OpenAI - Streaming the response.mp4 | 34.46 MB | ||
| 44. Lab - OpenAI - Streaming the response.vtt | 4.1 KB | ||
| 45. Lab - OpenAI - Understanding Structured Outputs.mp4 | 61.64 MB | ||
| 45. Lab - OpenAI - Understanding Structured Outputs.vtt | 7.3 KB | ||
| 45. Sample Invoice.pdf | 256.95 KB | ||
| 46. Lab - OpenAI - Extracting details as text.mp4 | 62.62 MB | ||
| 46. Lab - OpenAI - Extracting details as text.vtt | 7.36 KB | ||
| 47. Lab - OpenAI - Structured Output - Trying to use the Responses API.mp4 | 45.13 MB | ||
| 47. Lab - OpenAI - Structured Output - Trying to use the Responses API.vtt | 5.49 KB | ||
| 48. Lab - OpenAI - Structured Output - Using the Chat Completions API.mp4 | 45.14 MB | ||
| 48. Lab - OpenAI - Structured Output - Using the Chat Completions API.vtt | 4.83 KB | ||
| 49. OpenAI - Concept of using Tools.mp4 | 10.95 MB | ||
| 49. OpenAI - Concept of using Tools.vtt | 2.18 KB | ||
| 49. OpenAI-Tools.txt | 45 B | ||
| 5. Azure AI Foundry - Exploring the models.mp4 | 36.85 MB | ||
| 5. Azure AI Foundry - Exploring the models.vtt | 6.86 KB | ||
| 50. OpenAI - Tools - Image Generation.mp4 | 82.19 MB | ||
| 50. OpenAI - Tools - Image Generation.vtt | 10.95 KB | ||
| 51. OpenAI - Tools - Web Search.mp4 | 20.66 MB | ||
| 51. OpenAI - Tools - Web Search.vtt | 2.92 KB | ||
| 52.7 Section Quiz.html | 30.55 KB | ||
| 6. Azure AI Foundry - Deploying a model - Overview.mp4 | 47.09 MB | ||
| 6. Azure AI Foundry - Deploying a model - Overview.vtt | 6.68 KB | ||
| 7. Lab - Azure AI Foundry - Deploying a model.mp4 | 38.02 MB | ||
| 7. Lab - Azure AI Foundry - Deploying a model.vtt | 4.75 KB | ||
| 8. Lab - Azure AI Foundry - Using the playground.mp4 | 51.8 MB | ||
| 8. Lab - Azure AI Foundry - Using the playground.vtt | 5.95 KB | ||
| 9. Lab - Azure AI Foundry - Model parameters.mp4 | 41.87 MB | ||
| 9. Lab - Azure AI Foundry - Model parameters.vtt | 6.6 KB | ||
| 11. AI-102 - Implement computer vision solutions | |||
| 1. Introduction to Computer Vision.mp4 | 16.84 MB | ||
| 1. Introduction to Computer Vision.vtt | 2.17 KB | ||
| 10. Lab - Computer Vision - REST API Calls - Generate caption.mp4 | 79.23 MB | ||
| 10. Lab - Computer Vision - REST API Calls - Generate caption.vtt | 10.46 KB | ||
| 11. Lab - Computer Vision - REST API Calls - Other features.mp4 | 39.19 MB | ||
| 11. Lab - Computer Vision - REST API Calls - Other features.vtt | 4.22 KB | ||
| 12. The Face service.mp4 | 9.03 MB | ||
| 12. The Face service.vtt | 1.35 KB | ||
| 13. Lab - Face service.mp4 | 36.6 MB | ||
| 13. Lab - Face service.vtt | 3.52 KB | ||
| 14. Lab - Python - Face service.mp4 | 65.15 MB | ||
| 14. Lab - Python - Face service.vtt | 5.73 KB | ||
| 15. Azure AI Custom Vision.mp4 | 7.97 MB | ||
| 15. Azure AI Custom Vision.vtt | 1.39 KB | ||
| 16. Lab - Azure AI Custom Vision - Create the Azure resources.mp4 | 12.29 MB | ||
| 16. Lab - Azure AI Custom Vision - Create the Azure resources.vtt | 1.71 KB | ||
| 17. Lab - Azure AI Custom Vision - Image classification model.mp4 | 78.18 MB | ||
| 17. Lab - Azure AI Custom Vision - Image classification model.vtt | 8.38 KB | ||
| 18. Quick understanding on the training results.mp4 | 51.75 MB | ||
| 18. Quick understanding on the training results.vtt | 5.19 KB | ||
| 19. Lab - Azure AI Custom Vision - Python - Image classification.mp4 | 71.06 MB | ||
| 19. Lab - Azure AI Custom Vision - Python - Image classification.vtt | 6.27 KB | ||
| 2. Lab - Creating a computer vision resource.mp4 | 40.45 MB | ||
| 2. Lab - Creating a computer vision resource.vtt | 4.58 KB | ||
| 20. Azure AI Custom Vision - Object detection model.mp4 | 16.21 MB | ||
| 20. Azure AI Custom Vision - Object detection model.vtt | 2.07 KB | ||
| 21. Azure AI Video Indexer.mp4 | 8.79 MB | ||
| 21. Azure AI Video Indexer.vtt | 1.17 KB | ||
| 22. Lab - Azure AI Video Indexer.mp4 | 28.67 MB | ||
| 22. Lab - Azure AI Video Indexer.vtt | 3.31 KB | ||
| 23. Azure AI Video Indexer - Embedding widgets - Note.mp4 | 19.86 MB | ||
| 23. Azure AI Video Indexer - Embedding widgets - Note.vtt | 2.5 KB | ||
| 23. Azure-AI-Video-Indexer-widgets.txt | 87 B | ||
| 24. Azure AI Video Indexer - Customize content models.mp4 | 13.82 MB | ||
| 24. Azure AI Video Indexer - Customize content models.vtt | 1.38 KB | ||
| 24. Azure-AI-Video-Indexer-content-models.txt | 113 B | ||
| 25.8 Section Quiz.html | 23.38 KB | ||
| 3. Lab - Computer Vision - Image Tagging.mp4 | 66.62 MB | ||
| 3. Lab - Computer Vision - Image Tagging.vtt | 5.86 KB | ||
| 4. Lab - Computer Vision - Python - Image Tagging.mp4 | 62.82 MB | ||
| 4. Lab - Computer Vision - Python - Image Tagging.vtt | 5.59 KB | ||
| 5. Lab - Computer Vision - Python - Generate caption.mp4 | 20.94 MB | ||
| 5. Lab - Computer Vision - Python - Generate caption.vtt | 1.7 KB | ||
| 6. Lab - Computer Vision - Python - Object Detection.mp4 | 39.33 MB | ||
| 6. Lab - Computer Vision - Python - Object Detection.vtt | 3.62 KB | ||
| 7. Lab - Computer Vision - Python - Optical Character Recognition.mp4 | 42.81 MB | ||
| 7. Lab - Computer Vision - Python - Optical Character Recognition.vtt | 3.6 KB | ||
| 8. Lab - Computer Vision - Python - Brand Detection.mp4 | 42.66 MB | ||
| 8. Lab - Computer Vision - Python - Brand Detection.vtt | 4.11 KB | ||
| 9. Lab - Visual Studio Code - Making API calls.mp4 | 13.53 MB | ||
| 9. Lab - Visual Studio Code - Making API calls.vtt | 2.14 KB | ||
| 12. AI-102 - Implement natural language processing solutions | |||
| 1. Azure AI Language service.mp4 | 12.71 MB | ||
| 1. Azure AI Language service.vtt | 1.75 KB | ||
| 10. Lab - Azure AI Language - Extract Entities.mp4 | 14.56 MB | ||
| 10. Lab - Azure AI Language - Extract Entities.vtt | 2.11 KB | ||
| 11. Lab - Azure AI Language - Extract Entities - Python.mp4 | 23.67 MB | ||
| 11. Lab - Azure AI Language - Extract Entities - Python.vtt | 2.08 KB | ||
| 12. Lab - Azure AI Language - Summarization service.mp4 | 13.69 MB | ||
| 12. Lab - Azure AI Language - Summarization service.vtt | 2.2 KB | ||
| 13. Lab - Azure AI Language - Personally Identifiable Information.mp4 | 9.03 MB | ||
| 13. Lab - Azure AI Language - Personally Identifiable Information.vtt | 1.53 KB | ||
| 14. Azure AI Translator service.mp4 | 10.42 MB | ||
| 14. Azure AI Translator service.vtt | 1.31 KB | ||
| 15. Lab - Azure AI Text Translation - Python.mp4 | 61.71 MB | ||
| 15. Lab - Azure AI Text Translation - Python.vtt | 6.79 KB | ||
| 16. Lab - Azure AI Text Translation - API Call.mp4 | 17.83 MB | ||
| 16. Lab - Azure AI Text Translation - API Call.vtt | 2.31 KB | ||
| 17. Azure Speech Service.mp4 | 6.88 MB | ||
| 17. Azure Speech Service.vtt | 1.35 KB | ||
| 18. Lab - Azure Speech - Text to Speech.mp4 | 15.27 MB | ||
| 18. Lab - Azure Speech - Text to Speech.vtt | 1.37 KB | ||
| 19. Lab - Azure Speech - Text to Speech - Python.mp4 | 88.98 MB | ||
| 19. Lab - Azure Speech - Text to Speech - Python.vtt | 6.1 KB | ||
| 2. Lab - Azure AI Language - Detect Language.mp4 | 33.09 MB | ||
| 2. Lab - Azure AI Language - Detect Language.vtt | 3.21 KB | ||
| 20. Lab - Speech Synthesis Markup Language.mp4 | 50.84 MB | ||
| 20. Lab - Speech Synthesis Markup Language.vtt | 4.4 KB | ||
| 21. Lab - Azure Speech - Speech to text.mp4 | 8.16 MB | ||
| 21. Lab - Azure Speech - Speech to text.vtt | 1.02 KB | ||
| 22. Lab - Azure Speech - Speech to text - Python - Using local file.mp4 | 63.59 MB | ||
| 22. Lab - Azure Speech - Speech to text - Python - Using local file.vtt | 5.87 KB | ||
| 23. Lab - Azure Speech - Speech to text - Python - Using Microphone.mp4 | 26.74 MB | ||
| 23. Lab - Azure Speech - Speech to text - Python - Using Microphone.vtt | 2.38 KB | ||
| 24. Lab - Azure Speech - Speech Translation service.mp4 | 8.74 MB | ||
| 24. Lab - Azure Speech - Speech Translation service.vtt | 955 B | ||
| 25. Conversational Language Understanding - Introduction.mp4 | 25.74 MB | ||
| 25. Conversational Language Understanding - Introduction.vtt | 3.87 KB | ||
| 26. Lab - Getting started with Language Studio.mp4 | 36.02 MB | ||
| 26. Lab - Getting started with Language Studio.vtt | 3.35 KB | ||
| 27. Lab - Conversational Language Understanding - Adding Intents.mp4 | 42.33 MB | ||
| 27. Lab - Conversational Language Understanding - Adding Intents.vtt | 4.5 KB | ||
| 28. Lab - Conversational Language Understanding - Adding Entities.mp4 | 47.86 MB | ||
| 28. Lab - Conversational Language Understanding - Adding Entities.vtt | 4.71 KB | ||
| 29. Lab - Conversational Language Understanding - Adding Utterances.mp4 | 112.88 MB | ||
| 29. Lab - Conversational Language Understanding - Adding Utterances.vtt | 11.41 KB | ||
| 3. Lab - Azure AI Language resource.mp4 | 18.8 MB | ||
| 3. Lab - Azure AI Language resource.vtt | 2.04 KB | ||
| 30. Lab - Conversational Language Understanding - Training the Model.mp4 | 41.36 MB | ||
| 30. Lab - Conversational Language Understanding - Training the Model.vtt | 4.23 KB | ||
| 31. Lab - Conversational Language Understanding - Deploying the Model.mp4 | 15.65 MB | ||
| 31. Lab - Conversational Language Understanding - Deploying the Model.vtt | 2.33 KB | ||
| 32. Lab - Python - Consume Conversational Language Model.mp4 | 61.25 MB | ||
| 32. Lab - Python - Consume Conversational Language Model.vtt | 6.9 KB | ||
| 33. Azure Conversational Language Understanding - Best practices.mp4 | 20.5 MB | ||
| 33. Azure Conversational Language Understanding - Best practices.vtt | 2 KB | ||
| 33. Conversational-language-best-practices.txt | 118 B | ||
| 34. Conversational Language Project - Backup - Note.mp4 | 24.84 MB | ||
| 34. Conversational Language Project - Backup - Note.vtt | 2.91 KB | ||
| 34. Conversational-Language-backup.txt | 123 B | ||
| 35. Custom question answering - Introduction.mp4 | 18.64 MB | ||
| 35. Custom question answering - Introduction.vtt | 3 KB | ||
| 36. Lab - Custom question answering - Getting started.mp4 | 32.51 MB | ||
| 36. Lab - Custom question answering - Getting started.vtt | 3.1 KB | ||
| 37. Lab - Custom question answering - Edit the knowledge base.mp4 | 43.21 MB | ||
| 37. Lab - Custom question answering - Edit the knowledge base.vtt | 4.79 KB | ||
| 38. Lab - Custom question answering - Deploy and use the knowledge base.mp4 | 27.97 MB | ||
| 38. Lab - Custom question answering - Deploy and use the knowledge base.vtt | 2.76 KB | ||
| 39. Lab - Creating a Bot.mp4 | 43.46 MB | ||
| 39. Lab - Creating a Bot.vtt | 5.94 KB | ||
| 4. Lab - Azure AI Language - Detect Language - API Call.mp4 | 41.1 MB | ||
| 4. Lab - Azure AI Language - Detect Language - API Call.vtt | 4.68 KB | ||
| 40.9 Section Quiz.html | 28.74 KB | ||
| 5. Lab - Azure AI Language - Detect Language - Python.mp4 | 42.11 MB | ||
| 5. Lab - Azure AI Language - Detect Language - Python.vtt | 4.22 KB | ||
| 6. Lab - Azure AI Language - Extract key phrases.mp4 | 14.35 MB | ||
| 6. Lab - Azure AI Language - Extract key phrases.vtt | 2 KB | ||
| 7. Lab - Azure AI Language - Extract key phrases - Python.mp4 | 33.01 MB | ||
| 7. Lab - Azure AI Language - Extract key phrases - Python.vtt | 3.25 KB | ||
| 8. Lab - Azure AI Language - Analyze sentiments.mp4 | 15.72 MB | ||
| 8. Lab - Azure AI Language - Analyze sentiments.vtt | 2.49 KB | ||
| 9. Lab - Azure AI Language - Analyze sentiments - Python.mp4 | 38.32 MB | ||
| 9. Lab - Azure AI Language - Analyze sentiments - Python.vtt | 3.05 KB | ||
| 13. AI-102 - Implement knowledge mining and information extraction solutions | |||
| 1. Azure AI Document Intelligence - Overview.mp4 | 19.97 MB | ||
| 1. Azure AI Document Intelligence - Overview.vtt | 2.74 KB | ||
| 1. Azure-AI-Document-Intelligence-overview.txt | 103 B | ||
| 10. Lab - Python - Using a combination of services.mp4 | 99.17 MB | ||
| 10. Lab - Python - Using a combination of services.vtt | 8.09 KB | ||
| 11. Lab - Azure AI Document Intelligence - REST API call.mp4 | 67.89 MB | ||
| 11. Lab - Azure AI Document Intelligence - REST API call.vtt | 5.91 KB | ||
| 12. Azure AI Document Intelligence - Custom Models.mp4 | 19.9 MB | ||
| 12. Azure AI Document Intelligence - Custom Models.vtt | 2.78 KB | ||
| 13. Lab - Azure AI Document Intelligence - Custom Model - Label Data.mp4 | 91.78 MB | ||
| 13. Lab - Azure AI Document Intelligence - Custom Model - Label Data.vtt | 9.26 KB | ||
| 14. Lab - Azure AI Document Intelligence - Custom Model - Train and use model.mp4 | 22.89 MB | ||
| 14. Lab - Azure AI Document Intelligence - Custom Model - Train and use model.vtt | 3.97 KB | ||
| 15. Azure AI Document Intelligence - Input requirements and limits.mp4 | 24.54 MB | ||
| 15. Azure AI Document Intelligence - Input requirements and limits.vtt | 2.99 KB | ||
| 15. Azure-AI-Document-Intelligence-service-limits.txt | 97 B | ||
| 16. Azure-Resource-Manager-templates.txt | 81 B | ||
| 16. What are Azure Resource Manager templates.mp4 | 24.36 MB | ||
| 16. What are Azure Resource Manager templates.vtt | 3.06 KB | ||
| 17. Lab - ARM Template - Azure AI Document Intelligence.mp4 | 63.69 MB | ||
| 17. Lab - ARM Template - Azure AI Document Intelligence.vtt | 8.69 KB | ||
| 18. Lab - Create an Azure AI Services resource - API Call - Pre-requisites.mp4 | 45.87 MB | ||
| 18. Lab - Create an Azure AI Services resource - API Call - Pre-requisites.vtt | 6.42 KB | ||
| 19. Lab - Create an Azure AI Services resource - API Call - Implementation.mp4 | 77.08 MB | ||
| 19. Lab - Create an Azure AI Services resource - API Call - Implementation.vtt | 10.77 KB | ||
| 2. Lab - Creating a document intelligence resource.mp4 | 13 MB | ||
| 2. Lab - Creating a document intelligence resource.vtt | 2.19 KB | ||
| 20. Azure-AI-Content-Understanding.txt | 82 B | ||
| 20. What is Azure AI Content Understanding.mp4 | 38.02 MB | ||
| 20. What is Azure AI Content Understanding.vtt | 3.76 KB | ||
| 21. Azure AI Content Understanding - Azure AI Foundry Hub.mp4 | 30.67 MB | ||
| 21. Azure AI Content Understanding - Azure AI Foundry Hub.vtt | 3.5 KB | ||
| 22. Azure AI Content Understanding - Extract text from documents.mp4 | 28.7 MB | ||
| 22. Azure AI Content Understanding - Extract text from documents.vtt | 3.8 KB | ||
| 23. Azure AI Content Understanding - Audio Analysis.mp4 | 14.04 MB | ||
| 23. Azure AI Content Understanding - Audio Analysis.vtt | 1.75 KB | ||
| 24. Azure AI Content Understanding - Creating a custom analyzer.mp4 | 50.52 MB | ||
| 24. Azure AI Content Understanding - Creating a custom analyzer.vtt | 8.42 KB | ||
| 25. What's Azure AI Search.mp4 | 62.25 MB | ||
| 25. What's Azure AI Search.vtt | 8.05 KB | ||
| 26. Azure AI Search - Indexes and Indexers.mp4 | 53.46 MB | ||
| 26. Azure AI Search - Indexes and Indexers.vtt | 7.49 KB | ||
| 27. Lab - Azure AI Search - Creating the search Index.mp4 | 106.17 MB | ||
| 27. Lab - Azure AI Search - Creating the search Index.vtt | 10.94 KB | ||
| 28. Lab - Azure AI Search - Using the search index.mp4 | 26.47 MB | ||
| 28. Lab - Azure AI Search - Using the search index.vtt | 3.48 KB | ||
| 29. Lab - Azure AI Search - Creating a skillset.mp4 | 53.45 MB | ||
| 29. Lab - Azure AI Search - Creating a skillset.vtt | 6.28 KB | ||
| 3. Azure-AI-Document-Intelligence-read-model.txt | 125 B | ||
| 3. Azure-AI-Document-Intelligence-studio.txt | 42 B | ||
| 3. Lab - Azure AI Document Intelligence - Read model.mp4 | 77.24 MB | ||
| 3. Lab - Azure AI Document Intelligence - Read model.vtt | 7.04 KB | ||
| 30. Azure AI Search - Knowledge store.mp4 | 89.49 MB | ||
| 30. Azure AI Search - Knowledge store.vtt | 8.82 KB | ||
| 30. Azure-AI-Search-Knowledge-store.txt | 88 B | ||
| 31. Lab - Azure AI Search - Knowledge store.mp4 | 62.89 MB | ||
| 31. Lab - Azure AI Search - Knowledge store.vtt | 6.9 KB | ||
| 32. Lab - Azure AI Search using keys.mp4 | 30.19 MB | ||
| 32. Lab - Azure AI Search using keys.vtt | 3.69 KB | ||
| 33.10 Section Quiz.html | 29.17 KB | ||
| 4. Lab - Python - Azure AI Document Intelligence - Read model - Blob service.mp4 | 92.33 MB | ||
| 4. Lab - Python - Azure AI Document Intelligence - Read model - Blob service.vtt | 10.63 KB | ||
| 5. Lab - Python - Azure AI Document Intelligence - Read model - Implementation.mp4 | 93.7 MB | ||
| 5. Lab - Python - Azure AI Document Intelligence - Read model - Implementation.vtt | 8.15 KB | ||
| 6. Lab - Azure AI Document Intelligence - Invoice model.mp4 | 23.81 MB | ||
| 6. Lab - Azure AI Document Intelligence - Invoice model.vtt | 3.65 KB | ||
| 7. Lab - Python - Azure AI Document Intelligence - Invoice model.mp4 | 113.27 MB | ||
| 7. Lab - Python - Azure AI Document Intelligence - Invoice model.vtt | 9.82 KB | ||
| 8. Lab - Azure AI Document Intelligence - Receipt model.mp4 | 53.83 MB | ||
| 8. Lab - Azure AI Document Intelligence - Receipt model.vtt | 4.64 KB | ||
| 9. Lab - Azure AI Document Intelligence - Testing for hand-written text.mp4 | 56.69 MB | ||
| 9. Lab - Azure AI Document Intelligence - Testing for hand-written text.vtt | 4.28 KB | ||
| 14. AI-102 - Real-World Project Building AI Solutions on Azure | |||
| 1. Code and Resources.zip | 32.29 MB | ||
| 1. Project Description and Requirements.pdf | 58.57 MB | ||
| 1. Project Diagrams.pdf | 2.41 MB | ||
| 1. Project Resources.html | 144 B | ||
| 10. Lab - Building an Azure Function resource.mp4 | 50.82 MB | ||
| 10. Lab - Building an Azure Function resource.vtt | 7.76 KB | ||
| 11. Lab - Migrating Python Code to Azure Functions.mp4 | 73.35 MB | ||
| 11. Lab - Migrating Python Code to Azure Functions.vtt | 9.88 KB | ||
| 12. Lab - Configuring the Environment & Dependencies.mp4 | 60.41 MB | ||
| 12. Lab - Configuring the Environment & Dependencies.vtt | 7.74 KB | ||
| 13. Lab - Running and Testing the Function.mp4 | 29.88 MB | ||
| 13. Lab - Running and Testing the Function.vtt | 3.3 KB | ||
| 14. End-to-End Function Workflow Overview.mp4 | 62.71 MB | ||
| 14. End-to-End Function Workflow Overview.vtt | 7.58 KB | ||
| 15. Building a Simple React.js Chat Interface.mp4 | 61.81 MB | ||
| 15. Building a Simple React.js Chat Interface.vtt | 8.79 KB | ||
| 16. Code Walkthrough The Chat Interface.mp4 | 17.37 MB | ||
| 16. Code Walkthrough The Chat Interface.vtt | 2.48 KB | ||
| 17. Lab - Hosting the Chat App in Azure with Static Web Apps.mp4 | 43.48 MB | ||
| 17. Lab - Hosting the Chat App in Azure with Static Web Apps.vtt | 6.87 KB | ||
| 18. Project Phase 2 - Building Review system.mp4 | 32.23 MB | ||
| 18. Project Phase 2 - Building Review system.vtt | 3.58 KB | ||
| 19. Lab - Designing the Data Source.mp4 | 30.93 MB | ||
| 19. Lab - Designing the Data Source.vtt | 4.95 KB | ||
| 2. Project Introduction & Goals.mp4 | 45.73 MB | ||
| 2. Project Introduction & Goals.vtt | 4.59 KB | ||
| 20. Lab - Creating an Azure AI Search Resource.mp4 | 16.01 MB | ||
| 20. Lab - Creating an Azure AI Search Resource.vtt | 2.27 KB | ||
| 21. Lab - Defining the Data Source in AI Search.mp4 | 57.23 MB | ||
| 21. Lab - Defining the Data Source in AI Search.vtt | 7.45 KB | ||
| 22. Lab - Building the Index in JSON.mp4 | 22.06 MB | ||
| 22. Lab - Building the Index in JSON.vtt | 3.05 KB | ||
| 23. Lab - Creating the Indexer in JSON.mp4 | 73.33 MB | ||
| 23. Lab - Creating the Indexer in JSON.vtt | 8.26 KB | ||
| 24. Lab - Deploying an Azure AI Services Account.mp4 | 64.45 MB | ||
| 24. Lab - Deploying an Azure AI Services Account.vtt | 7.51 KB | ||
| 25. Lab - Adding a Sentiment Analysis Skill (Sentiment Skill).mp4 | 95.77 MB | ||
| 25. Lab - Adding a Sentiment Analysis Skill (Sentiment Skill).vtt | 11.98 KB | ||
| 26. Lab - Enhancing the Skillset with SplitSkill.mp4 | 91.37 MB | ||
| 26. Lab - Enhancing the Skillset with SplitSkill.vtt | 10.53 KB | ||
| 27. Review on Knowledge store and projections.mp4 | 20.88 MB | ||
| 27. Review on Knowledge store and projections.vtt | 2.42 KB | ||
| 28. Lab - Defining Table Projections in JSON.mp4 | 56.51 MB | ||
| 28. Lab - Defining Table Projections in JSON.vtt | 5.82 KB | ||
| 29. Project Phase 3 - Course Catalog search.mp4 | 16.33 MB | ||
| 29. Project Phase 3 - Course Catalog search.vtt | 2.12 KB | ||
| 3. Project Phase 1 - Building a Knowledge Base.mp4 | 25.63 MB | ||
| 3. Project Phase 1 - Building a Knowledge Base.vtt | 3.51 KB | ||
| 30. Introduction to Azure Cosmos DB.mp4 | 18.79 MB | ||
| 30. Introduction to Azure Cosmos DB.vtt | 2.89 KB | ||
| 31. Lab - Creating an Azure Cosmos DB Resource.mp4 | 24.91 MB | ||
| 31. Lab - Creating an Azure Cosmos DB Resource.vtt | 3.8 KB | ||
| 32. Lab - Setting Up Data in Azure Cosmos DB.mp4 | 53.41 MB | ||
| 32. Lab - Setting Up Data in Azure Cosmos DB.vtt | 7.12 KB | ||
| 33. Lab - Setting up a data store in Azure Storage.mp4 | 31.48 MB | ||
| 33. Lab - Setting up a data store in Azure Storage.vtt | 3.75 KB | ||
| 34. Lab - Building an Azure AI Search Index from Cosmos DB.mp4 | 36.06 MB | ||
| 34. Lab - Building an Azure AI Search Index from Cosmos DB.vtt | 5.17 KB | ||
| 35. Lab - Querying Data with Azure AI Search.mp4 | 21.84 MB | ||
| 35. Lab - Querying Data with Azure AI Search.vtt | 3.37 KB | ||
| 36. Lab - Setting up Azure Storage for Azure AI Search.mp4 | 49.49 MB | ||
| 36. Lab - Setting up Azure Storage for Azure AI Search.vtt | 6.66 KB | ||
| 37. Lab - Building an Azure AI Search Index from Azure Storage.mp4 | 46.64 MB | ||
| 37. Lab - Building an Azure AI Search Index from Azure Storage.vtt | 5.39 KB | ||
| 38. Project Phase 4 - Working with LLM's.mp4 | 28.36 MB | ||
| 38. Project Phase 4 - Working with LLM's.vtt | 3.46 KB | ||
| 39. Lab - Deploying the models in Azure AI Foundry.mp4 | 36.54 MB | ||
| 39. Lab - Deploying the models in Azure AI Foundry.vtt | 4.48 KB | ||
| 4. Lab - Creating an Azure AI Language Resource.mp4 | 48.96 MB | ||
| 4. Lab - Creating an Azure AI Language Resource.vtt | 4.23 KB | ||
| 40. Lab - Python module to interface with LLM's.mp4 | 89.17 MB | ||
| 40. Lab - Python module to interface with LLM's.vtt | 11.4 KB | ||
| 41. Quick overview of Azure Virtual Machines and Docker.mp4 | 57.68 MB | ||
| 41. Quick overview of Azure Virtual Machines and Docker.vtt | 8.62 KB | ||
| 42. Lab - Building an Azure Virtual Machine.mp4 | 57.58 MB | ||
| 42. Lab - Building an Azure Virtual Machine.vtt | 7.7 KB | ||
| 43. Installing-Docker-on-Ubuntu.txt | 46 B | ||
| 43. Lab - Installing Docker on the Machine.mp4 | 47.01 MB | ||
| 43. Lab - Installing Docker on the Machine.vtt | 5.49 KB | ||
| 44. Lab - Exposing an API for our Python code.mp4 | 82.41 MB | ||
| 44. Lab - Exposing an API for our Python code.vtt | 10.2 KB | ||
| 45. Lab - Building the Docker Image and running a container.mp4 | 73.11 MB | ||
| 45. Lab - Building the Docker Image and running a container.vtt | 7.52 KB | ||
| 46. Lab - Making use of Azure AI Content Safety resource.mp4 | 68.29 MB | ||
| 46. Lab - Making use of Azure AI Content Safety resource.vtt | 6.77 KB | ||
| 47. Lab - Deploying our new code.mp4 | 41.29 MB | ||
| 47. Lab - Deploying our new code.vtt | 4.47 KB | ||
| 48. An example of a React.js application calling the container.mp4 | 21.68 MB | ||
| 48. An example of a React.js application calling the container.vtt | 2.76 KB | ||
| 49.11 Quick Project Quiz.html | 34.06 KB | ||
| 5. Lab - Building the Knowledge Base in Azure AI Language.mp4 | 53.13 MB | ||
| 5. Lab - Building the Knowledge Base in Azure AI Language.vtt | 4.3 KB | ||
| 6. Lab - Adding Follow-Up Prompts.mp4 | 50.05 MB | ||
| 6. Lab - Adding Follow-Up Prompts.vtt | 5.12 KB | ||
| 7. Lab - Deploying the Knowledge Base.mp4 | 17.68 MB | ||
| 7. Lab - Deploying the Knowledge Base.vtt | 2.65 KB | ||
| 8. Lab - Developing a Python Module to Interact with the Knowledge Base.mp4 | 112.19 MB | ||
| 8. Lab - Developing a Python Module to Interact with the Knowledge Base.vtt | 10.8 KB | ||
| 9. Introduction to Azure Functions.mp4 | 40.45 MB | ||
| 9. Introduction to Azure Functions.vtt | 4.32 KB | ||
| 15. Bonus Lecture | |||
| 1. 2021-10-10_16-20-20-8bd9e11866600964acce5420f99c86cf.jpg?042148 | 1.46 MB | ||
| 1. AI-102-Microsoft-Certified-Azure-AI-Engineer-Associate.txt | 118 B | ||
| 1. AI-900-Microsoft-Azure-AI-Fundamentals-Certification.txt | 84 B | ||
| 1. AWS-Certified-AI-Practitioner-AIF-C01.txt | 93 B | ||
| 1. AWS-Certified-Cloud-Practitioner.txt | 99 B | ||
| 1. AWS-Certified-Solutions-Architect-Associate-exam-SAA-C03.txt | 94 B | ||
| 1. AZ-104-Microsoft-Azure-Administrator-Certification.txt | 101 B | ||
| 1. AZ-305-Designing-Azure-Infrastructure-Solutions.txt | 96 B | ||
| 1. AZ-400-Designing-and-Implementing-DevOps-Certification.txt | 70 B | ||
| 1. AZ-500-Microsoft-Azure-Security-Exam-Certification.txt | 74 B | ||
| 1. AZ-700-Designing-and-Implementing-Azure-Networking-Solutions.txt | 76 B | ||
| 1. AZ-900-Microsoft-Azure-Fundamentals.txt | 93 B | ||
| 1. Azure-Architect-Technologies.txt | 113 B | ||
| 1. Bonus Lecture.html | 886 B | ||
| 1. DP-203-Data-Engineering-on-Microsoft-Azure.txt | 97 B | ||
| 1. DP-600-Fabric-Analytics-Engineer-Associate.txt | 104 B | ||
| 1. DP-700-Fabric-Data-Engineer-Associate.txt | 101 B | ||
| 1. DP-900-Microsoft-Azure-Data-Fundamentals-Certification.txt | 75 B | ||
| 1. Docker-and-Kubernetes-Your-complete-guide.txt | 77 B | ||
| 1. Mastering-Azure-PowerShell.txt | 78 B | ||
| 1. Programming-with-C-.txt | 86 B | ||
| 1. SC-100-Microsoft-Cybersecurity-Architect.txt | 70 B | ||
| 1. SC-300-Microsoft-Identity-and-Access-Administrator.txt | 74 B | ||
| 1. SC-900-Microsoft-Security-Compliance-Identity-Fundamentals.txt | 78 B | ||
| 1. Terraform-on-Azure.txt | 89 B |
Description
Обучающие видео » Компьютерные видеоуроки и обучающие интерактивные DVD » Machine/Deep Learning, Neural Networks
AI-103 - Azure AI Apps and Agents Developer Associate
Год выпуска: 7/2026
Производитель: Udemy
Сайт производителя: https://www.udemy.com/course/ai-102-microsoft-certified-azure-ai-engineer-associate-d/
Автор: Alan Rodrigues
Продолжительность: 32h 28m
Тип раздаваемого материала: Видеоурок
Язык: Английский
Описание: This course has been significantly updated to Version 2.0 to prepare students for both the AI-102 Azure AI Engineer Associate exam and the newer AI-103: Developing AI Apps and Agents on Azure exam, which Microsoft introduced as the newer path for developers and AI engineers building, managing, and deploying modern AI applications and agentic solutions on Azure. The AI-103 exam focuses on practical skills such as planning Azure AI solutions, implementing generative AI and agentic solutions, and working with computer vision, text analysis, and information extraction. The update adds practice quizzes at the end of key sections, refreshed videos featuring the latest OpenAI and Azure AI capabilities (including newer model capabilities, the Responses API, tool usage, and modern development patterns), and brand-new AI-103 focused sections covering Microsoft Foundry, generative AI apps, AI agents, tools, knowledge grounding, retrieval-augmented generation, multimodal AI, and responsible AI solution design.
By the end, you should be able to understand the key skills measured in AI-103, build AI applications using Azure AI services, use generative AI models in real application workflows, create and configure agents in Microsoft Foundry, ground AI responses using Azure AI Search and knowledge sources, connect agents to tools, APIs, and business systems, work with vision, speech, language, and information extraction services, and understand how to plan, secure, evaluate, and manage Azure AI solutions. The course is ideal for developers, cloud engineers, AI engineers, and students preparing for Microsoft Azure AI certification while gaining practical, job-ready AI development skills. Earlier Version 1.1 updates included practice quizzes at the end of every section, updated videos featuring the latest GPT-5 model in Section 2, brand-new videos on the Responses API and tools, and an all-new project section building and managing knowledge bases, writing code to interact with them, hosting solutions on Azure including Azure Functions, Storage accounts, and Docker containers, and working extensively with Azure AI Search.
The course is a hands-on, beginner-friendly program that goes beyond theory, teaching you to design, build, and deploy real-world AI solutions using Microsoft Azure—from generative AI and computer vision to natural language processing, speech, and knowledge mining—with clear explanations, practical Python coding examples, and guided labs. You also learn responsible AI practices, prompt engineering, fine-tuning models, and integrating solutions into production. It is aimed at developers, data professionals, and aspiring AI engineers who want to future-proof their skills, and by the end you will be ready to pass the AI-102 exam and build solutions that make a difference.
[spoiler="Содержание"]
01. NEW - AI-103 - Building the Foundation Models, Tools, and the Developer Workflow
2. How each section is structured (03:44)
3. What are the objectives we are going to cover in this section (01:26)
6. Generative AI Fundamentals (06:16)
7. Large Language Models vs Small Language Models (08:05)
8. How People and Organizations use AI Models (03:41)
9. Introduction to Microsoft Foundry (07:43)
11. Getting started with Microsoft Foundry (08:58)
12. Quick Tour of Microsoft Foundry (07:33)
13. Deploying Models in Microsoft Foundry (10:12)
14. Lab - Deploying Models in Microsoft Foundry (10:21)
15. Review on model deployment (02:32)
16. Debugging model deployments (03:04)
17. Getting Started Python Development with Microsoft Foundry (05:40)
19. Lab - First API Call to a Foundry-Deployed Model (12:06)
20. Controlling Model Behaviour (03:45)
21. Lab - Controlling Model Behaviour (05:54)
22. Reasoning Effort Thinking Before Answering (06:34)
23. Lab - Multi-modal models (06:25)
24. Tools and Models (09:18)
25. Lab - Using the Web Search Tool (04:33)
26. Lab - Code Interpreter Tool (02:51)
27. Review of important aspects (04:32)
02. NEW - AI-103 - From Prompts to Agents Building RAG and Agentic Solutions
2. What are the objectives we are going to cover in this section (02:34)
3. The Rise of Agentic AI (05:08)
4. Building Your First AI Agent - The OpenAI SDK (04:11)
5. Lab - Building Your First AI Agent - The OpenAI SDK (17:50)
6. Microsoft Foundry Agent Service Overview (05:02)
7. Lab - Creating a Prompt Agent in the Foundry Portal (04:08)
8. Publishing, Routines, and Distributing Your Foundry Agent (03:27)
9. Lab - Building a prompt agent via code (10:23)
10. Let’s try to register our agent again (09:28)
11. Lab - Invoking our agent (04:05)
12. Our First AI Agent - Review (03:40)
13. Overview on Microsoft Entra ID (04:22)
14. Quick tour on users and RBAC on Microsoft Entra ID (05:29)
15. Agent Tools in Microsoft Foundry (02:51)
16. Lab - Agents - Web Search tool (04:37)
17. Lab - Function Tool Calling - Defining the agent (10:14)
18. Lab - Function Tool Calling - Defining the application (09:40)
19. Hosted agents (02:38)
20. Introduction to Retrieval Augmented Generation (04:55)
21. Lab - Retrieval Augmented Generation - Overview (03:49)
22. Lab - Retrieval Augmented Generation - Data Preparation (07:57)
23. Lab - Retrieval Augmented Generation - Azure AI Search (05:06)
24. Lab - Retrieval Augmented Generation - Building the search index (09:17)
25. Lab - Retrieval Augmented Generation - Searching the index from Python (13:33)
26. Lab - Retrieval Augmented Generation - The Full Loop (11:09)
27. Retrieval Augmented Generation - The Full Loop - Review (03:41)
28. Lab - Lab - Retrieval Augmented Generation - Usage as a tool (04:30)
29. Building an API-Powered Agent with OpenAPI Tools on Microsoft Foundry (05:32)
30. The OpenAPI Specification — The Contract Behind the Tool (03:04)
31. What Are Azure Functions (04:20)
32. Installing Azure Function Core tools (04:43)
33. Lab - Building the CloudXeus Orders API with Azure Functions (07:49)
35. Lab - Building the CloudXeus Orders API - Publishing our Function code (05:54)
36. Writing the OpenAPI Spec for the CloudXeus Orders API (05:47)
37. Attaching the API to an Agent — The OpenAPI Tool in Action (03:33)
38. The Authentication Methods for OpenAPI Tools (01:31)
39. Locking Down the CloudXeus API with a Function Key (04:51)
40. Using OpenAPI Tools Review (02:55)
41. Let's check in on the costing aspect (04:02)
03. NEW - AI-103 - Production-Ready AI Memory, Workflows, Monitoring, and Safety
2. What are the objectives we are going to cover in this section (01:56)
3. Understanding State Conversations, Session Context, and Memory (04:45)
4. How Memory Works The Memory Lifecycle, Memory Types, and Scope (05:32)
5. Lab - Agents and Conversations (09:48)
6. Lab - Giving the Agent Memory Memory Stores and the Memory Search Tool (05:28)
7. Review of conversations and memory (02:56)
8. Introduction to Workflows (03:07)
9. Lab - Creating the CloudXeus Agents (07:49)
10. Lab - Building Workflows in the Foundry Portal (05:41)
11. Lab - Capturing IntakeAgent's Output as Structured Data (06:08)
12. Lab - Adding conditions to the workflow (03:20)
13. Managing Quotas, Scaling, Rate Limits, and Cost (04:17)
14. Quick look at Managing Quotas and limits (01:55)
15. Monitoring AI Workloads - Foundry Observability and Search Health (04:25)
16. Evaluators - The Measuring Instruments of AI Quality (04:13)
17. Lab - Enabling Continuous Evaluation on an Agent - Adding Applicat (05:16)
18. Lab - Enabling Continuous Evaluation on an Agent -Creating the evaluation (11:06)
19. Improving Response Completeness (02:50)
20. Diagnostic Settings and Resource-Level Monitoring (06:28)
21. Agent Tracing - Concepts and Overview (02:28)
22. Introduction to Guardrails in Microsoft Foundry (02:26)
23. Content Filters in Action - Harm Categories on the Support Agent (05:49)
24. Prompt Shields (02:14)
25. Review of Guardrails and controls (05:06)
26. Model Router in Microsoft Foundry (01:43)
27. Lab - Model Router in Microsoft Foundry (02:26)
04. NEW - AI-103 - The Wider Ecosystem LangChain, LangGraph, and the Model Context P
2. Introduction to LangChain (04:26)
3. LangChain Agent Core Components (05:42)
4. Lab - Getting started with LangChain (09:01)
5. Building a LangChain agent (01:56)
6. Lab - Building an agent using LangChain (08:39)
7. Tracing LangChain Agents with OpenTelemetry and Application Insights (04:16)
8. Introduction to LangGraph (03:51)
9. Building an agent using LangGraph - Implementation overview (02:18)
10. Lab - Building an agent using LangGraph (15:02)
11. What is the Model Context Protocol (03:56)
12. Why was the Model Context Protocol designed (06:06)
13. Calling an Azure MCP Server - Primer (05:39)
14. Lab - Azure MCP Server deployment (06:49)
15. Lab - Talking to the Azure MCP Server (09:42)
16. Lab - Building our own MCP Server (06:49)
17. Lab - Talking to our custom MCP server (03:05)
05. NEW - AI-103 - Implement computer vision solutions
2. Lab - Sending Images as Context - Vision Input on Chat Models (05:09)
3. Using models to generate images (04:45)
4. Lab - Using python and models to generate images (02:37)
5. Image editing with generative models (02:37)
6. Lab - Prompt-driven image modification (02:29)
7. Lab - Mask-based image modification (01:53)
8. Prompt Shields for Documents - Defending Against Indirect Prompt Injection (02:01)
9. Trying out Prompt Shields for Documents (04:35)
10. Lab - Using Guardrails for Text Moderation (04:20)
11. Trying to moderate image content (02:36)
12. Lab - Building an Azure AI Content Safety resource (04:07)
13. Lab - Moderating images using Azure AI Content Safety (04:34)
06. NEW - AI-103 - Implement text analysis solutions
2. Applying Language Models to Text Analysis (04:47)
3. Lab - Naive Prompting for Entities and Topics (05:53)
4. Lab - Structured JSON Output (06:38)
5. Lab - Detecting Sentiment and Tone (04:13)
6. Lab - Translating Text (02:34)
7. Azure AI Language (03:14)
8. Lab - PII Detection and Redaction with Azure Language (09:04)
9. Lab - Language Detection with Azure Language (01:58)
10. Lab - Prebuilt Named Entity Recognition with Azure Language (03:09)
11. The Azure Language MCP Server (02:01)
12. Lab - Using the Azure MCP Language Server (06:08)
13. Lab - Listing Tools on the Azure Language MCP Server (03:14)
14. Lab - Translating Text with Azure Translator (03:41)
15. Speech & Voice Arc (04:13)
16. Speech to Text (03:05)
17. Lab - Speech to Text via Code (06:27)
18. Lab - Real-Time Speech Recognition (06:33)
19. Text to Speech (01:47)
20. Lab - Text-to-Speech (04:52)
21. Speech as an Agent Modality the Azure Speech MCP Server (02:58)
22. Lab - Wiring CloudXeus's agent to the Speech MCP Server (07:08)
23. Voice Live API - The Big Picture (03:37)
24. Voice Live API - Demo (02:56)
25. Speech Translation vs. LLM Speech (03:22)
26. Lab - Speech Translation (04:52)
07. NEW - AI-103 - Implement information extraction solutions
2. What is Azure Content Understanding (05:47)
3. Document Analysis - OCR, Layout, Tables, and Fields (06:06)
4. Lab - Azure Content Understanding - Document Analysis (12:07)
5. Review of document analysis with Azure Content Understanding (07:23)
6. Lab - Python - Analyze an Invoice with Azure Content Understanding (05:07)
7. Visual Understanding with Image Analyzers (03:12)
8. Lab - Visual Understanding with Image Analyzers (02:18)
9. Standard Mode and Pro Mode Pipelines in Azure Content Understanding (05:26)
10. Content Understanding with Agents (01:44)
11. Lab - Content Understanding with Agents (02:57)
12. Introduction to Azure AI Search for RAG (06:08)
13. Search Indexes, Indexers, and Data Sources (04:36)
14. Lab - Ingesting documents from Azure Blob Storage (02:11)
15. Lab - Azure AI Search - Data sources (01:56)
16. Lab - Azure AI Search - Creating the index (03:53)
17. Lab - Azure AI Search - Creating the indexer (01:31)
18. Lab - Azure AI Search - Queries (02:06)
19. AI Enrichment and Skillsets (05:15)
20. Lab - AI Enrichment and Skillsets (07:19)
21. Connecting Azure AI Search to an Agent (04:00)
22. Lab - Connecting Azure AI Search to an Agent (02:17)
08. AI-103 - Practice Section
2. Capstone Project Overview Building the CloudXeus AI Course Assistant (03:39)
3. Preparing the Data Store Uploading Course PDFs to Azure Blob Storage (06:38)
4. Understanding Knowledge Sources and Knowledge Bases for Agentic Retrieval (03:31)
5. Knowledge source pre-requisites - Deploying the models (08:02)
6. Knowledge source pre-requisites - Assigning permissions (10:36)
7. Creating the Knowledge Source for Agentic Retrieval (02:29)
8. Creating the Knowledge Base for Agentic Retrieval (04:23)
9. Advanced Data Parsing for Scanned PDFs and Multi-Page Tables (06:33)
10. Azure Content Understanding - Custom Analyzer - Invoice storage (02:31)
11. Azure Content Understanding - Custom Analyzer - Building the analyzer (07:33)
12. What is Azure Document Intelligence (01:37)
13. Using Azure Document Intelligence (06:16)
14. Managing model updates (02:30)
15. Building the CloudXeus Invoice Intelligence Agent - Remote Tool connection (04:29)
16. Building the CloudXeus Invoice Intelligence Agent (03:06)
17. Using the CloudXeus Invoice Intelligence Agent (05:35)
18. Using Azure AI Content Safety (04:38)
19. Important points when it comes to workflows (04:30)
09. AI-102 - Planning an Azure AI solution
2. Introduction (02:37)
3. A brief understanding on Machine Learning (08:16)
4. Generative AI (03:08)
5. Let’s start with ChatGPT (06:46)
6. What are Large Language Models (04:50)
7. What is GPT(Generative Pre-Trained Transformer) (03:34)
8. Note on images used in this course (02:01)
9. OpenAI - Understanding the Model Lineup (06:42)
10. What is a Multi-modal LLM (02:19)
11. OpenAI API Platform - Sign-up (06:17)
12. OpenAI API Platform- Using the playground (10:45)
13. OpenAI API Platform - System Messages (05:24)
14. What’s next (01:21)
15. Introduction to Azure (02:02)
16. The Azure Free Account (04:11)
17. Creating the Azure Free Account (04:48)
18. Tour around the Azure portal (03:00)
19. Azure AI services (03:48)
20. AI Safety and Responsibility (03:13)
10. AI-102 - Implement Generative AI solutions
1. Azure Open AI and Azure AI Foundry (03:23)
2. Deploying an Azure AI Foundry resource - Overview (03:30)
3. Lab - Creating an Azure AI Foundry resource (06:55)
4. Launching the Azure AI Foundry portal (03:53)
5. Azure AI Foundry - Exploring the models (06:13)
6. Azure AI Foundry - Deploying a model - Overview (05:53)
7. Lab - Azure AI Foundry - Deploying a model (04:29)
8. Lab - Azure AI Foundry - Using the playground (05:17)
9. Lab - Azure AI Foundry - Model parameters (06:02)
10. Lab - Azure AI Foundry - System prompt (04:07)
11. Lab - Azure AI Foundry - Image Generation (06:03)
12. Prompt Engineering - Basic Prompt fundamentals (07:04)
13. Prompt Engineering - Zero-shot Prompting (04:15)
14. Prompt Engineering - Few-shot Prompting (02:46)
15. Prompt Engineering - Chain-of-Thought Prompting (05:33)
16. Lab - Installing Python (01:06)
17. Lab - Installing Visual Studio Code (00:58)
18. Lab - Running a simple Python program (02:39)
19. Lab - GPT 5 - REST API (10:20)
20. Lab - Python - GPT 5 - Chat Completion API (12:48)
21. Lab - Python - GPT 5 - System Messages (04:48)
22. Lab - Python - GPT 5 - Getting the entire response (02:36)
23. Quick note on monitoring the model usage (01:11)
24. Lab - Multi-Modal support for models (08:51)
25. Lab - Python - GPT 5- Asking the model to explain code (07:55)
26. Lab - Python - Using a model to generate an image (07:12)
27. Fine Tune Azure OpenAI models (05:45)
28. Overview of Fine tuning a model (08:14)
29. Retrieval Augmented Generation (06:39)
30. Lab - Retrieval Augmented Generation - Azure Blob service (09:42)
31. Lab - Retrieval Augmented Generation - Azure Search service (07:52)
32. Lab - Retrieval Augmented Generation - Implementation (05:56)
33. Lab - Retrieval Augmented Generation - Using Python (07:12)
34. Azure AI Content Safety (02:19)
35. Lab - Azure AI Content Safety - Adding a content filer (05:34)
36. Azure AI Content Safety - BlockList - Quick note (01:34)
37. Lab - Creating an Azure AI Content Safety resource (02:22)
38. Lab - Azure Safety Content Studio (06:41)
39. Lab - Azure AI Content Safety Studio - Prompt Shield (02:55)
40. Lab - Python - Azure AI Content Safety as a service - Detect Harmful images (10:18)
41. Lab - Python - Azure AI Content Safety as a service - Detect Harmful text (02:08)
42. Lab - Azure AI Content Safety - Making REST API calls (08:47)
43. Lab - OpenAI - Using the New Responses API (05:59)
44. Lab - OpenAI - Streaming the response (04:21)
45. Lab - OpenAI - Understanding Structured Outputs (07:44)
46. Lab - OpenAI - Extracting details as text (08:01)
47. Lab - OpenAI - Structured Output - Trying to use the Responses API (05:47)
48. Lab - OpenAI - Structured Output - Using the Chat Completions API (04:43)
49. OpenAI - Concept of using Tools (01:58)
50. OpenAI - Tools - Image Generation (10:24)
51. OpenAI - Tools - Web Search (02:45)
11. AI-102 - Implement computer vision solutions
1. Introduction to Computer Vision (01:52)
2. Lab - Creating a computer vision resource (03:49)
3. Lab - Computer Vision - Image Tagging (05:21)
4. Lab - Computer Vision - Python - Image Tagging (05:52)
5. Lab - Computer Vision - Python - Generate caption (01:30)
6. Lab - Computer Vision - Python - Object Detection (02:59)
7. Lab - Computer Vision - Python - Optical Character Recognition (03:48)
8. Lab - Computer Vision - Python - Brand Detection (03:48)
9. Lab - Visual Studio Code - Making API calls (01:54)
10. Lab - Computer Vision - REST API Calls - Generate caption (09:35)
11. Lab - Computer Vision - REST API Calls - Other features (04:08)
12. The Face service (01:06)
13. Lab - Face service (02:59)
14. Lab - Python - Face service (06:05)
15. Azure AI Custom Vision (01:09)
16. Lab - Azure AI Custom Vision - Create the Azure resources (01:36)
17. Lab - Azure AI Custom Vision - Image classification model (07:27)
18. Quick understanding on the training results (04:32)
19. Lab - Azure AI Custom Vision - Python - Image classification (06:38)
20. Azure AI Custom Vision - Object detection model (02:01)
21. Azure AI Video Indexer (01:02)
22. Lab - Azure AI Video Indexer (03:01)
23. Azure AI Video Indexer - Embedding widgets - Note (02:03)
24. Azure AI Video Indexer - Customize content models (01:14)
12. AI-102 - Implement natural language processing solutions
1. Azure AI Language service (01:22)
2. Lab - Azure AI Language - Detect Language (02:50)
3. Lab - Azure AI Language resource (01:44)
4. Lab - Azure AI Language - Detect Language - API Call (04:17)
5. Lab - Azure AI Language - Detect Language - Python (04:02)
6. Lab - Azure AI Language - Extract key phrases (01:49)
7. Lab - Azure AI Language - Extract key phrases - Python (03:00)
8. Lab - Azure AI Language - Analyze sentiments (02:06)
9. Lab - Azure AI Language - Analyze sentiments - Python (03:19)
10. Lab - Azure AI Language - Extract Entities (01:44)
11. Lab - Azure AI Language - Extract Entities - Python (02:16)
12. Lab - Azure AI Language - Summarization service (01:32)
13. Lab - Azure AI Language - Personally Identifiable Information (01:16)
14. Azure AI Translator service (01:05)
15. Lab - Azure AI Text Translation - Python (06:52)
16. Lab - Azure AI Text Translation - API Call (02:20)
17. Azure Speech Service (01:00)
18. Lab - Azure Speech - Text to Speech (01:20)
19. Lab - Azure Speech - Text to Speech - Python (07:50)
20. Lab - Speech Synthesis Markup Language (04:20)
21. Lab - Azure Speech - Speech to text (00:51)
22. Lab - Azure Speech - Speech to text - Python - Using local file (05:46)
23. Lab - Azure Speech - Speech to text - Python - Using Microphone (02:20)
24. Lab - Azure Speech - Speech Translation service (00:56)
25. Conversational Language Understanding - Introduction (03:26)
26. Lab - Getting started with Language Studio (03:00)
27. Lab - Conversational Language Understanding - Adding Intents (04:05)
28. Lab - Conversational Language Understanding - Adding Entities (04:18)
29. Lab - Conversational Language Understanding - Adding Utterances (10:54)
30. Lab - Conversational Language Understanding - Training the Model (03:57)
31. Lab - Conversational Language Understanding - Deploying the Model (02:20)
32. Lab - Python - Consume Conversational Language Model (06:12)
33. Azure Conversational Language Understanding - Best practices (01:39)
34. Conversational Language Project - Backup - Note (02:30)
35. Custom question answering - Introduction (02:26)
36. Lab - Custom question answering - Getting started (03:00)
37. Lab - Custom question answering - Edit the knowledge base (04:26)
38. Lab - Custom question answering - Deploy and use the knowledge base (02:25)
39. Lab - Creating a Bot (05:18)
13. AI-102 - Implement knowledge mining and information extraction solutions
1. Azure AI Document Intelligence - Overview (02:21)
2. Lab - Creating a document intelligence resource (01:51)
3. Lab - Azure AI Document Intelligence - Read model (06:19)
4. Lab - Python - Azure AI Document Intelligence - Read model - Blob service (10:00)
5. Lab - Python - Azure AI Document Intelligence - Read model - Implementation (08:04)
6. Lab - Azure AI Document Intelligence - Invoice model (03:11)
7. Lab - Python - Azure AI Document Intelligence - Invoice model (09:36)
8. Lab - Azure AI Document Intelligence - Receipt model (04:25)
9. Lab - Azure AI Document Intelligence - Testing for hand-written text (04:27)
10. Lab - Python - Using a combination of services (08:31)
11. Lab - Azure AI Document Intelligence - REST API call (06:11)
12. Azure AI Document Intelligence - Custom Models (02:26)
13. Lab - Azure AI Document Intelligence - Custom Model - Label Data (08:55)
14. Lab - Azure AI Document Intelligence - Custom Model - Train and use model (03:22)
15. Azure AI Document Intelligence - Input requirements and limits (02:26)
16. What are Azure Resource Manager templates (02:41)
17. Lab - ARM Template - Azure AI Document Intelligence (07:45)
18. Lab - Create an Azure AI Services resource - API Call - Pre-requisites (06:06)
19. Lab - Create an Azure AI Services resource - API Call - Implementation (09:58)
20. What is Azure AI Content Understanding (03:09)
21. Azure AI Content Understanding - Azure AI Foundry Hub (03:31)
22. Azure AI Content Understanding - Extract text from documents (03:23)
23. Azure AI Content Understanding - Audio Analysis (01:37)
24. Azure AI Content Understanding - Creating a custom analyzer (07:13)
25. What's Azure AI Search (06:43)
26. Azure AI Search - Indexes and Indexers (06:44)
27. Lab - Azure AI Search - Creating the search Index (09:47)
28. Lab - Azure AI Search - Using the search index (03:38)
29. Lab - Azure AI Search - Creating a skillset (06:01)
30. Azure AI Search - Knowledge store (08:08)
31. Lab - Azure AI Search - Knowledge store (06:18)
32. Lab - Azure AI Search using keys (03:43)
14. AI-102 - Real-World Project Building AI Solutions on Azure
2. Project Introduction & Goals (04:14)
3. Project Phase 1 - Building a Knowledge Base (03:04)
4. Lab - Creating an Azure AI Language Resource (04:12)
5. Lab - Building the Knowledge Base in Azure AI Language (04:46)
6. Lab - Adding Follow-Up Prompts (04:44)
7. Lab - Deploying the Knowledge Base (02:45)
8. Lab - Developing a Python Module to Interact with the Knowledge Base (11:01)
9. Introduction to Azure Functions (04:03)
10. Lab - Building an Azure Function resource (07:23)
11. Lab - Migrating Python Code to Azure Functions (09:35)
12. Lab - Configuring the Environment & Dependencies (08:30)
13. Lab - Running and Testing the Function (03:10)
14. End-to-End Function Workflow Overview (07:52)
15. Building a Simple React.js Chat Interface (09:09)
16. Code Walkthrough The Chat Interface (02:09)
17. Lab - Hosting the Chat App in Azure with Static Web Apps (06:57)
18. Project Phase 2 - Building Review system (03:28)
19. Lab - Designing the Data Source (04:44)
20. Lab - Creating an Azure AI Search Resource (02:18)
21. Lab - Defining the Data Source in AI Search (07:48)
22. Lab - Building the Index in JSON (02:54)
23. Lab - Creating the Indexer in JSON (08:50)
24. Lab - Deploying an Azure AI Services Account (08:12)
25. Lab - Adding a Sentiment Analysis Skill (Sentiment Skill) (12:06)
26. Lab - Enhancing the Skillset with SplitSkill (10:55)
27. Review on Knowledge store and projections (02:19)
28. Lab - Defining Table Projections in JSON (06:23)
29. Project Phase 3 - Course Catalog search (02:08)
30. Introduction to Azure Cosmos DB (02:52)
31. Lab - Creating an Azure Cosmos DB Resource (03:31)
32. Lab - Setting Up Data in Azure Cosmos DB (07:33)
33. Lab - Setting up a data store in Azure Storage (03:44)
34. Lab - Building an Azure AI Search Index from Cosmos DB (04:59)
35. Lab - Querying Data with Azure AI Search (03:16)
36. Lab - Setting up Azure Storage for Azure AI Search (07:07)
37. Lab - Building an Azure AI Search Index from Azure Storage (05:32)
38. Project Phase 4 - Working with LLM's (03:06)
39. Lab - Deploying the models in Azure AI Foundry (04:42)
40. Lab - Python module to interface with LLM's (11:55)
41. Quick overview of Azure Virtual Machines and Docker (08:29)
42. Lab - Building an Azure Virtual Machine (07:37)
43. Lab - Installing Docker on the Machine (04:57)
44. Lab - Exposing an API for our Python code (11:29)
45. Lab - Building the Docker Image and running a container (08:35)
46. Lab - Making use of Azure AI Content Safety resource (07:39)
47. Lab - Deploying our new code (04:41)
48. An example of a React.js application calling the container (02:51)
[/spoiler]
Файлы примеров: не предусмотрены
Формат видео: MP4
Видео: AVC, 1280x720, 16:9, 30fps, 1458kbps
Аудио: AAC, 44.1Hz, 128kbps, stereo
[spoiler="Скриншоты"]
[/spoiler]
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