Building Real-World AI Agents

  • CategoryOther
  • TypeTutorials
  • LanguageEnglish
  • Total size1.3 GB
  • Uploaded Byfreecoursewb
  • Downloads268
  • Last checkedJun. 01st '26
  • Date uploadedMay. 31st '26
  • Seeders 16
  • Leechers12

Infohash : F9AFF3D89AC5EF9FFF2548A3C8D5FA181F22ADB8

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

Files:

[ WebToolTip.com ] Building Real-World AI Agents
  • Get Bonus Downloads Here.url (0.2 KB)
    • ~Get Your Files Here ! 1 - Introduction
    • 1. Meet with the trainer.mp4 (10.4 MB)
    • 2. Welcome.mp4 (19.9 MB)
    • 3. Course content.mp4 (13.9 MB)
    2 - AI Agent
    • 1. AI Agent.html (27.4 KB)
    • 10. Prompt.mp4 (34.9 MB)
    • 4. Generative AI.mp4 (23.0 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)
    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 (12.0 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 (18.0 MB)
    • 19. Reflection.mp4 (19.6 MB)
    • 20. Human in the loop.mp4 (21.7 MB)
    • 21. Multi-agent structure.mp4 (24.0 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 (0.8 KB)
    • 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 (262.0 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 (18.0 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 (225.0 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 (10.0 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 (0.2 KB)
    • 43. tasks.yaml (0.3 KB)
    • 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 (256.0 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 (3.0 KB)
    • <

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