| Bonus Resources.txt | 102.4 B | ||
| Get Bonus Downloads Here.url | 204.8 B | ||
| compliance_checker.py | 204.8 B | ||
| env | 0 B | ||
| gemini_service.py | 512 B | ||
| main.py | 307.2 B | ||
| orchestrator.py | 512 B | ||
| prompts.py | 204.8 B | ||
| requirements.txt | 102.4 B | ||
| routes | |||
| audio_routes.py | 0 B | ||
| code_routes.py | 409.6 B | ||
| services | |||
| __pycache__ | |||
| compliance_checker.cpython-313.pyc | 512 B | ||
| gemini_service.cpython-313.pyc | 1 KB | ||
| sentiment_analyzer.cpython-313.pyc | 512 B | ||
| speech_to_text.cpython-313.pyc | 716.8 B | ||
| summarizer.cpython-313.pyc | 512 B | ||
| bug_fixer.py | 204.8 B | ||
| code_analyzer.py | 204.8 B | ||
| gemini_service.py | 614.4 B | ||
| test_generator.py | 204.8 B | ||
| utils | |||
| env | 0 B | ||
| prompts.py | 512 B | ||
| requirements.txt | 102.4 B | ||
| ui | |||
| app.py | 716.8 B | ||
| voice_analyzer | |||
| README.md | 7.8 KB | ||
| app | |||
| __pycache__ | |||
| agents | |||
| __pycache__ | |||
| orchestrator.cpython-313.pyc | 819.2 B | ||
| main.cpython-313.pyc | 921.6 B | ||
| sentiment_analyzer.py | 204.8 B | ||
| speech_to_text.py | 409.6 B | ||
| summarizer.py | 204.8 B | ||
| temp_file | 102.4 B | ||
| ui | |||
| app.py | 716.8 B | ||
| utils | |||
| __pycache__ | |||
| prompts.cpython-313.pyc | 614.4 B | ||
| ~Get Your Files Here ! | |||
| 1 - Introduction to AI Agents | |||
| 1. Course Introduction and What You Will Build.mp4 | 30.4 MB | ||
| 10 - Deployment | |||
| 11 - Deep Dive From Project to Real-World AI Engineer | |||
| 2 - Environment Setup | |||
| 10. Google AI Studio (Gemini API Key).url | 102.4 B | ||
| 10. Running Your First AI Agent.mp4 | 61.8 MB | ||
| 3 - Understanding ADK | |||
| 1. Basic questions about agent architecture and lifecycle.html | 20.5 KB | ||
| 11. ADK Architecture Overview.mp4 | 44.9 MB | ||
| 12. Agent Lifecycle Explained.mp4 | 54.8 MB | ||
| 13. Prompts and Agent Reasoning.mp4 | 95.8 MB | ||
| 14. Agent Execution Flow.mp4 | 100.5 MB | ||
| 15. Building Your First Task Agent.mp4 | 33 MB | ||
| 15. first_agent.py | 512 B | ||
| 4 - Tools and Function Calling | |||
| 16. Introduction to Agent Tools.mp4 | 31.2 MB | ||
| 17. Creating Custom Python Tools.mp4 | 24.3 MB | ||
| 17. python_tools.py | 409.6 B | ||
| 18. Connecting APIs to Agents.mp4 | 42.4 MB | ||
| 18. connection.py | 921.6 B | ||
| 19. File Processing Tools.mp4 | 34.7 MB | ||
| 19. file_processing.py | 819.2 B | ||
| 2. Questions on tool calling and API integration concepts.html | 21.6 KB | ||
| 20. Multi-Tool AI Agents.mp4 | 98.2 MB | ||
| 20. multi_tool_agent.py | 1.4 KB | ||
| 5 - Memory Systems for Agents | |||
| 21. Why Memory Is Important.mp4 | 18.6 MB | ||
| 22. Short-Term Memory in Agents.mp4 | 107 MB | ||
| 22. short_memory.py | 1.7 KB | ||
| 23. Long-Term Memory and Retrieval.mp4 | 209.1 MB | ||
| 23. long_memory.py | 2.5 KB | ||
| 24. Context Management.mp4 | 22.6 MB | ||
| 24. context.py | 3.3 KB | ||
| 25. Building a Context-Aware Agent.mp4 | 76.3 MB | ||
| 25. Section_5.py | 4.4 KB | ||
| 3. Short quiz on short-term vs long-term memory.html | 21.6 KB | ||
| 6 - Guardrails and AI Safety | |||
| 26. Safety Filters.url | 102.4 B | ||
| 26. Why Guardrails Matter.mp4 | 48.9 MB | ||
| 27. Prompt Injection Attacks.mp4 | 104.1 MB | ||
| 27. attack_prompts.py | 102.4 B | ||
| 28. Input Validation and Output Filtering Techniques.mp4 | 162.7 MB | ||
| 28. guardrails.py | 6 KB | ||
| 29. Designing Safe AI Agents.mp4 | 51 MB | ||
| 29. README.md | 2.4 KB | ||
| 7 - Evaluation and Metrics | |||
| 30. Why AI Agent Evaluation Is Hard.mp4 | 23.6 MB | ||
| 31. Rubric-Based Evaluation.mp4 | 97.8 MB | ||
| 31. rubric.py | 3.7 KB | ||
| 32. Creating Agent Test Cases.mp4 | 13.1 MB | ||
| 32. test_cases.csv | 307.2 B | ||
| 33. Automated Evaluation Workflows.mp4 | 13.9 MB | ||
| 33. auto_runner_sample.py | 1.3 KB | ||
| 34. Improving Agent Performance.mp4 | 14.5 MB | ||
| 34. types.png | 178.8 KB | ||
| 8 - Multi-Agent Systems | |||
| 35. Introduction to Multi-Agent Architectures.mp4 | 57.8 MB | ||
| 36. Agent Communication (MCP, A2A, ACP).mp4 | 84 MB | ||
| 37. Task Delegation Between Agents.mp4 | 107 MB | ||
| 38. Planner and orchestrator Agents.mp4 | 110.1 MB | ||
| 38. agent.py | 2.7 KB | ||
| 9 - Real-World AI Agent Projects | |||
| 39. Developer productivity assistant with Gemini Code Assist.mp4 | 437.2 MB | ||
| 40. Voice Transcription and Call Insight analyzer.mp4 | 367 MB | ||
| 41. Enterprise knowledge chatbot with RAG Engine.mp4 | 332.2 MB | ||
| 42. Multimodel Intelligent Agent using Vertex AI.mp4 | 109.4 MB | ||
| developer_code_assist | |||
| README.md | 4.5 KB | ||
| app | |||
| agents | |||
| orchestrator.py | 409.6 B | ||
| 6. Install Python.url | 102.4 B | ||
| 6. Installing Python and Required Tools.mp4 | 24.3 MB | ||
| 6. Visual Studio Code.url | 102.4 B | ||
| 7. Setting Up Development Environment.mp4 | 22 MB | ||
| 8. Creating a Cloud Account.mp4 | 60.1 MB | ||
| 8. GCP.url | 102.4 B | ||
| 9. Installing ADK and Dependencies.mp4 | 26 MB | ||
| 48. AI on a Budget Cost Optimization.mp4 | 67.7 MB | ||
| 49. From Code to Deployment Docker for AI systems.mp4 | 64.5 MB | ||
| 50. All_Deck_Resources.pdf | 17.1 MB | ||
| 50. Next Steps Tools, Resources & AI Career Roadmap.mp4 | 34.4 MB | ||
| 50. SAAR Techverse.url | 102.4 B | ||
| 43. Agent Observability & Debugging.mp4 | 80.3 MB | ||
| 44. Google Cloud Databases for Agent Memory.mp4 | 88.4 MB | ||
| 45. Securing AI Agents with VPC Networks.mp4 | 71.2 MB | ||
| 46. Production-Grade AI Systems.mp4 | 68.8 MB | ||
| 47. AI Data Security Prevent Data Leaks with DLP.mp4 | 72.8 MB | ||
| 2. What Are AI Agents.mp4 | 67.5 MB | ||
| 3. LLMs vs AI Agents vs Workflows.mp4 | 15.6 MB | ||
| 4. Real-World Applications of AI Agents.mp4 | 52.1 MB | ||
| 5. Course Roadmap.mp4 | 22.5 MB | ||
| ▲ 113 total files | |||
AI Agents Bootcamp with ADK, GCP : Autonomous Systems (2026)
https://WebToolTip.com
Published 4/2026
MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz, 2 Ch
Language: English | Duration: 7h 42m | Size: 3.98 GB
Learn to build real AI agents using Python, ADK and Google Cloud with tools, memory, evaluation and multi-agent systems
What you'll learn
Build autonomous AI agents from scratch using ADK and Python
Create agents that use tools, APIs, and workflows to solve tasks
Implement memory systems for context-aware AI agents
Design multi-agent systems that collaborate and delegate tasks
Add guardrails to make AI agents safer and more reliable
Evaluate agent performance using metrics and rubric frameworks
Build real-world AI agent projects step by step
Deploy AI agents for real applications using cloud infrastructure
Requirements
Basic Python programming knowledge
A computer with internet access
Free account on Google Cloud Platform for running agent s
No prior experience with AI agents or ADK required
Willingness to learn by building real projects
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