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L-6 | What are LLM Agents
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Classroom Contents
Learn Agentic AI - From Basics to Advanced Multi-Agent Systems
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- 1 L-1 | Why Traditional AI Fails: Key Limitations Explained
- 2 L-2 | What is Agentic AI?
- 3 L-3 | What is Generative AI?
- 4 L-4 | How Generative AI and Agentic AI can be used together
- 5 L-5 | What are AI Agents
- 6 L-6 | What are LLM Agents
- 7 L-7 | Types of AI Agents | Explained with examples
- 8 L-8 Build a Simple Reflex Agent in Python | Create a Smart Room Cleaning Agent
- 9 L-9 Goal-Based Agents Using Langchain Streamlit | Agentic AI
- 10 L-10 Learning Agents | Agentic AI Course
- 11 L-11 Reinforcement Learning Basics | Agentic AI Course
- 12 L-12 Value Function in Reinforcement Learning | V(s) Explained with Bellman Equation & Example
- 13 L-13 Learning Agents | Q-Learning Explained | Reinforcement Learning Tutorial with Python
- 14 L-14 LangGraph Tutorial: Build Agentic AI Systems Step by Step | Agentic AI
- 15 L-15 CrewAI - Agentic AI Framework
- 16 L-16 | Understanding Agno (formerly Phidata) : Multimodal Agentic AI Framework
- 17 L-17 Agno Tutorial: Create AI Agents with Tools & Memory
- 18 L-18 Agentic RAG with Agno
- 19 L-19 What is MCP (Model Context Protocol)?
- 20 L-20 How to Run and Connect Multiple MCP Servers with LangGraph on Local Machine
- 21 L-21 Creating a Custom MCP Server with LangGraph & Streamlit | Step by Step tutorial
- 22 L-22 Build a custom MCP server on the cloud from scratch | Step by Step tutorial
- 23 L-23 Using MCP Servers with Agno: From Local Setup to Cloud Deployment
- 24 L-24 How to Build Agentic AI Apps with OpenAI Agents SDK
- 25 L-25 How to Use MCP with OpenAI Agents SDK
