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Building Real-World AI Agents

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Building Real-World AI Agents (Size: 1.3 GB)
  Bonus Resources.txt 102.4 B
  Get Bonus Downloads Here.url 204.8 B
  ~Get Your Files Here !
  1 - Introduction
  1. Meet with the trainer.mp4 10.4 MB
  2 - AI Agent
  1. AI Agent.html 27.4 KB
  10. Prompt.mp4 34.9 MB
  3 - Tools
  11. Tools.mp4 21.3 MB
  12. Tool usage.mp4 38.7 MB
  2. Tools.html 20.1 KB
  4 - Agentic design patterns
  13. Agentic design patterns.mp4 12 MB
  14. Chain of Thought (CoT).mp4 16.6 MB
  15. ReAct.mp4 21.4 MB
  16. Tree of Thoughts (ToT).mp4 14.2 MB
  17. Reasoning WithOut Observation (ReWOO).mp4 15.7 MB
  18. Plan and Execute.mp4 18 MB
  19. Reflection.mp4 19.6 MB
  20. Human in the loop.mp4 21.7 MB
  21. Multi-agent structure.mp4 24 MB
  3. Agentic design patterns.html 24.2 KB
  5 - Agentic RAG
  22. RAG Architecture.mp4 20.1 MB
  23. Agentic RAG.mp4 7.6 MB
  4. Agentic RAG.html 19.9 KB
  6 - AI Agent communication protocols
  24. AI Agent communication protocols.mp4 7.2 MB
  25. MCP.mp4 9.8 MB
  26. A2A.mp4 9.4 MB
  27. ACP.mp4 10.8 MB
  5. AI Agent communication protocols.html 19.8 KB
  7 - AI Agent framework LangGraph
  28. LangChain.mp4 38.6 MB
  28. LangChain_1_chain.py 819.2 B
  29. LangGraph.mp4 17.1 MB
  30. LangGraph code example-1 Create a workflow.mp4 17.5 MB
  30. LangGraph_1_graph.py 1.9 KB
  30. LangGraph_example1_output_1.png 6.6 KB
  30. LangGraph_example1_output_2.png 129.2 KB
  31. LangGraph code example-2 Memory.mp4 18.3 MB
  31. LangGraph_2_memory1.py 2.8 KB
  31. LangGraph_example2_output_1.png 143.4 KB
  31. LangGraph_example2_output_2.png 262 KB
  32. LangGraph code example-3 Memory.mp4 24.3 MB
  32. LangGraph_3_memory2.py 2.1 KB
  32. LangGraph_example3_output_1.png 222.4 KB
  32. LangGraph_example3_output_2.png 566.8 KB
  33. LangGraph code example-4 Chat.mp4 28.8 MB
  33. LangGraph_4_chat.py 2.8 KB
  33. LangGraph_example4_output_1.png 268.6 KB
  33. LangGraph_example4_output_2.png 205.4 KB
  33. LangGraph_example4_output_3.png 16.6 KB
  34. LangGraph code example-5 ReAct.mp4 49.5 MB
  34. LangGraph_5_ReAct.py 2.2 KB
  34. LangGraph_example5_output_1.png 346.1 KB
  34. LangGraph_example5_output_2.png 18 KB
  35. LangGraph code example-6 Plan and execute.mp4 71.9 MB
  35. LangGraph_6_plan_execute.py 6.2 KB
  35. LangGraph_example6_output_1.png 292.8 KB
  36. LangGraph code example-8 Human in the loop.mp4 16.6 MB
  36. LangGraph_8_human_in_the_loop.py 3.7 KB
  36. LangGraph_example8_output_1.png 172.9 KB
  37. LangGraph code example-9 Agentic RAG.mp4 19.1 MB
  37. LangGraph_example9_output_1.png 309.9 KB
  37. LangGraph_example9_output_2.png 255.4 KB
  38. LangGraph code example-10 Multi-agent (supervisor).mp4 66.5 MB
  38. LangGraph_10_supervisor.py 3.1 KB
  38. LangGraph_example10_output_1.png 22.1 KB
  38. LangGraph_example10_output_10.png 293.9 KB
  38. LangGraph_example10_output_2.png 285.3 KB
  38. LangGraph_example10_output_3.png 275.5 KB
  38. LangGraph_example10_output_4.png 201.3 KB
  38. LangGraph_example10_output_5.png 319.2 KB
  38. LangGraph_example10_output_6.png 222.6 KB
  38. LangGraph_example10_output_7.png 253.1 KB
  38. LangGraph_example10_output_8.png 244.5 KB
  38. LangGraph_example10_output_9.png 225 KB
  39. LangGraph code example-11 Multi-agent (swarm).mp4 45.1 MB
  39. LangGraph_11_swarm.py 4.6 KB
  39. LangGraph_example11_output_1.png 357.4 KB
  39. LangGraph_example11_output_2.png 178.5 KB
  39. LangGraph_example11_output_3.png 149.7 KB
  40. LangGraph code example-7 Reflection.mp4 46.3 MB
  40. LangGraph_7_reflection.py 3.7 KB
  40. LangGraph_example7_output_1.png 313.5 KB
  40. LangGraph_example7_output_2.png 270.4 KB
  40. LangGraph_example7_output_3.png 323.2 KB
  40. LangGraph_example7_output_4.png 238.3 KB
  6. AI Agent framework LangGraph.html 23.2 KB
  8 - AI Agent framework CrewAI
  41. YAML.mp4 10 MB
  42. CrewAI.mp4 36.4 MB
  43. CrewAI code example 1 Crew.mp4 17.9 MB
  43. CrewAI_1_crew.py 1.6 KB
  43. CrewAI_example1_output_1.png 198.9 KB
  43. CrewAI_example1_output_2.png 285.4 KB
  43. agents.yaml 204.8 B
  43. tasks.yaml 307.2 B
  44. CrewAI code example 2 Crew.mp4 70.6 MB
  44. CrewAI_2_crew.py 1.9 KB
  44. CrewAI_example2_output_1.png 84.9 KB
  44. CrewAI_example2_output_2.png 318.5 KB
  44. CrewAI_example2_prompt_1.png 228.5 KB
  44. CrewAI_example2_prompt_2.png 169.7 KB
  44. CrewAI_example2_prompt_3.png 222.7 KB
  44. CrewAI_example2_prompt_4.png 256 KB
  44. agents2.yaml 1.9 KB
  44. tasks2.yaml 1.5 KB
  45. CrewAI code example 3 Flows.mp4 24.7 MB
  45. CrewAI_3_flows.py 3 KB
  45. CrewAI_example3_output_1.png 44.9 KB
  45. CrewAI_example3_output_2.png 68.2 KB
  45. CrewAI_example3_output_3.png 94.2 KB
  46. CrewAI _or and _and.mp4 13.2 MB
  46. CrewAI_or_and_output_1.png 34 KB
  46. CrewAI_or_and_output_2.png 81 KB
  46. CrewAI_or_and_output_3.png 25 KB
  46. CrewAI_or_and_output_4.png 77 KB
  47. CrewAI Flows and crew.mp4 14.3 MB
  47. CrewAI_flow_crew_output_1.png 29.7 KB
  47. CrewAI_flow_crew_output_2.png 44.9 KB
  47. CrewAI_flow_crew_output_3.png 45.1 KB
  47. CrewAI_flow_crew_output_4.png 52.2 KB
  47. CrewAI_flow_crew_output_5.png 32.6 KB
  47. agents.yaml 409.6 B
  47. main.py 2.3 KB
  47. poem_crew.py 3.8 KB
  47. tasks.yaml 307.2 B
  48. CrewAI code example 4 Flows and crew.mp4 16.8 MB
  48. CrewAI_example4_output_1.png 30.4 KB
  48. CrewAI_example4_output_2.png 41.9 KB
  48. CrewAI_example4_output_3.png 37.2 KB
  48. CrewAI_example4_output_4.png 39.8 KB
  48. CrewAI_example4_output_5.png 45.3 KB
  48. CrewAI_example4_output_6.png 28.6 KB
  48. agents.yaml 512 B
  48. main.py 1.8 KB
  48. tasks.yaml 307.2 B
  49. CrewAI Knowledge.mp4 7.8 MB
  50. CrewAI code example 5 Knowledge.mp4 9.4 MB
  50. CrewAI_5_knowledge.py 1.4 KB
  50. CrewAI_example5_output_1.png 89.6 KB
  51. CrewAI code example 6 Collaboration.mp4 13.9 MB
  51. CrewAI_6_collaboration.py 2.1 KB
  51. CrewAI_example6_output_1.png 113.4 KB
  51. CrewAI_example6_output_2.png 162.2 KB
  51. CrewAI_example6_output_3.png 150.8 KB
  51. CrewAI_example6_output_4.png 153.4 KB
  52. CrewAI code example 7 Collaboration.mp4 18.4 MB
  52. CrewAI_7_collaboration.py 3.6 KB
  52. CrewAI_example7_output_1.png 117.8 KB
  52. CrewAI_example7_output_2.png 103.6 KB
  52. CrewAI_example7_output_3.png 137.7 KB
  52. CrewAI_example7_output_4.png 127.6 KB
  52. CrewAI_example7_output_5.png 125.8 KB
  53. CrewAI code example 8 Collaboration.mp4 11.4 MB
  53. CrewAI_8_collaboration.py 2.3 KB
  53. CrewAI_example8_output_1.png 85.4 KB
  53. CrewAI_example8_output_2.png 155.9 KB
  53. CrewAI_example8_output_3.png 128.3 KB
  54. CrewAI code example 9 Memory.mp4 17.5 MB
  54. CrewAI_9_memory.py 1.6 KB
  54. CrewAI_example9_output_1.png 134.1 KB
  54. CrewAI_example9_output_2.png 127.4 KB
  54. CrewAI_example9_output_3.png 71.5 KB
  54. CrewAI_example9_output_4.png 128.6 KB
  54. CrewAI_example9_output_5.png 153.6 KB
  54. CrewAI_example9_output_6.png 114.8 KB
  54. CrewAI_example9_output_7.png 148.1 KB
  55. CrewAI code example 10 Reasoning.mp4 16.1 MB
  55. CrewAI_10_reasoning.py 2.5 KB
  55. CrewAI_example10_output_1.png 108.3 KB
  55. CrewAI_example10_output_2.png 108.5 KB
  56. CrewAI code example 11 Tools.mp4 8.1 MB
  56. CrewAI_11_tools.py 1.6 KB
  56. CrewAI_example11_output_1.png 84.3 KB
  57. CrewAI code example 12 Tools.mp4 7.4 MB
  57. CrewAI_12_tools.py 2.1 KB
  57. CrewAI_example12_output_1.png 127.2 KB
  58. CrewAI code example 13 Code generation and execution.mp4 9 MB
  58. CrewAI_13_coding.py 1.3 KB
  58. CrewAI_example13_output_1.png 91.2 KB
  58. CrewAI_example13_output_2.png 83.7 KB
  59. CrewAI Test, train.mp4 19.9 MB
  7. AI Agent framework CrewAI.html 23.1 KB
  9 - Course Closure
  60. Course Closure.mp4 12.2 MB
  4. Generative AI.mp4 23 MB
  5. Large Language Models.mp4 28.7 MB
  6. AI Agent definition.mp4 26.3 MB
  7. AI Agent vs. Generative AI.mp4 28.7 MB
  8. Agentic AI.mp4 13.1 MB
  9. AI Agent components.mp4 41.3 MB
  2. Welcome.mp4 19.9 MB
  3. Course content.mp4 13.9 MB

Description


Building Real-World AI Agents
https://WebToolTip.com
Published 5/2026

Created by Alper Daldal

MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz, 2 Ch

Level: All Levels | Genre: eLearning | Language: English | Duration: 60 Lectures ( 4h 18m ) | Size: 1.32 GB
Explore AI agents and create your own using LangGraph or CrewAI.
What you'll learn

⚡ You will learn concepts such as large language models, generative AI, and prompts, which are essential for understanding the AI Agent architecture.

⚡ You will discover what AI Agents are and how they differ from Generative AI and Agentic AI.

⚡ You will study the fundamental components that make up an AI Agent, such as personality, memory, tools, reasoning, and planning.

⚡ You will discover powerful agentic patterns like ReAct, CoT, ReWOO, ToT, and reflection, and use them to design and build AI Agents.

⚡ You will study multi-agent architectures, analyze examples such as Supervisor and Swarm, and build your own multi-agent systems using these patterns.

⚡ You will discover how to bring humans into the AI Agent loop and solidify your learning with real code examples.

⚡ You will explore Agentic RAG and learn how to use it in your own AI Agents through practical code examples.

⚡ You will discover how AI Agents communicate through protocols like MCP, A2A, and ACP.

⚡ You will explore widely used AI Agent frameworks such as LangGraph and its core foundation, LangChain.

⚡ By learning concepts such as states, nodes, and edges in LangGraph, you will be able to build your own workflows.

⚡ You will learn different ways to use memory in LangGraph through practical code examples.

⚡ You will learn how to use both built-in and custom tools within the LangGraph framework.

⚡ You will explore examples of agent collaboration using LangGraph and learn to build similar systems yourself.

⚡ You will discover CrewAI, a powerful framework for developing AI Agents.

⚡ You will explore the key building blocks of CrewAI—teams, tasks, and agents—and learn how to use them in your own projects.

⚡ You will study the YAML-based configuration used to define tasks and agents in CrewAI and learn to create your own YAML files.

⚡ You will discover how to design and run flows in CrewAI while collaborating with a crew.

⚡ You will be able to develop AI Agents in CrewAI that can write and execute code.

⚡ You will learn how to improve your AI Agent’s performance using CrewAI’s testing and training features.
Requirements

❗ Possession of basic programming and algorithm development or comprehension skills

❗ While Python knowledge is not required, it may assist in understanding the provided code examples

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