AI Agents & Tool Use

Agents that reason, plan, and act

Author: AI Learning Club Team · Difficulty: Intermediate · Duration: 2 hr 11 min · Modules: 25

Modules

1. Introduction to AI Agents (5 min)
2. Understanding ReAct Framework (5 min)
3. LangGraph Basics (5 min)
4. Advanced LangGraph Techniques (5 min)
5. Tool Calling Mechanisms (5 min)
6. Memory Integration in AI Agents (5 min)
7. Designing Multi-Agent Systems (5 min)
8. Coordination Strategies for Multi-Agent Systems (5 min)
9. Autonomous Workflows Overview (5 min)
10. Building Autonomous Agents (5 min)
11. Case Studies in AI Agents (5 min)
12. Ethical Considerations in AI Agent Development (5 min)
13. Performance Metrics for AI Agents (5 min)
14. Optimizing AI Agent Performance (5 min)
15. Deploying AI Agents in Real-World Scenarios (5 min)
16. Monitoring and Maintenance of AI Agents (5 min)
17. Future Trends in AI Agent Technologies (5 min)
18. Capstone Project: Developing a Multi-Agent System (5 min)
19. Capstone Project: Creating an Autonomous Workflow (5 min)
20. Review and Best Practices (5 min)
21. Community and Resources for AI Agents (5 min)
22. Advanced Topics in AI Agent Research (5 min)
23. Panel Discussion with AI Agent Experts (5 min)
24. Course Wrap-Up and Next Steps (5 min)
25. Resources & References (2 min)

Frequently Asked Questions

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