Topics to cover in Agentic AI course

 1. Autonomous AI Agent

2. AI Agent Frameworks: OpenAI SDK, Crew AI, LangGraph & AutoGen

3. Agent Engineering Setup: Understanding Cursor IDE, UV & API Options

4. Windows Setup for AI Development: Git, Cursor IDE & UV Package Manager

5. Building Your First Agentic AI Workflow with OpenAI API: Step-by-Step

6. Introduction to Agentic AI: Creating Multi-Step LLM Workflows + Autonomy

7. Building Effective Agents: LLM Autonomy & Tool Integration Explained

8. 5 Essential LLM Workflow Design Patterns for Building Robust AI Systems

9. Orchestrating Multiple LLMs: Comparing GPT-4o, Claude, Gemini & DeepSeek

10. Multi-LLM API Integration: Comparing OpenAI, Anthropic & Other Models

11. Comparing LLM APIs: Using OpenAI Client Library with Claude, Gemini & ++

12. Multi-Model Orchestration: Creating a System to Evaluate AI Responses

13. Connecting Agentic Patterns to Tool Use: Essential AI Building Blocks

14. Comparing AI Agent Frameworks: Simplicity vs Power in LLM Orchestration

15. Resources vs. Tools: Two Ways to Enhance LLM Capabilities in Agentic AI

16. Build a Web Chatbot That Acts Like You Using Gradio & OpenAI

17. Using Gemini to Evaluate GPT-4 Responses: A Multi-LLM Pipeline

18. Crew AI Framework: Creating Collaborative AI Agent Teams

19. Crew AI Framework Explained: Agents, Tasks & Processing Modes Tutorial

20. Crew AI & LightLLM: Flexible Framework for Integrating Multiple LLMs

21. Crew AI Tutorial: Setting Up a Debate Project with GPT-4o mini

22. How to Create an AI Debate System Using Crew AI and Multiple LLMs

23. Building AI Debate Systems with CrewAI: Compare Different LLMs

24. Building Crew AI Projects: Tools, Context & Google Search Integration

25. Building Multi-Agent Financial Research Systems with Crew.ai

26. Enhancing AI Agents with Web Search: Solving the Knowledge Cutoff Problem

27. Building a Crew AI Stock Picker: Multi-Agent System for Investments

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