Learn Agentic AI: From Basics to Advanced Multi-Agent Systems
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What you'll learn
This course includes
- 11.5 hours of video
- Certificate of completion
- Access on mobile and TV
Course content
1 modules • 25 lessons • 11.5 hours of video
Learn Agentic AI: From Basics to Advanced Multi-Agent Systems
25 lessons
• 11.5 hours
Learn Agentic AI: From Basics to Advanced Multi-Agent Systems
25 lessons
• 11.5 hours
- L-1 | Why Traditional AI Fails: Key Limitations Explained04:24
- L-2 | What is Agentic AI?05:19
- L-3 | What is Generative AI?01:25
- L-4 | How Generative AI and Agentic AI can be used together03:37
- L-5 | What are AI Agents07:03
- L-6 | What are LLM Agents06:37
- L-7 | Types of AI Agents | Explained with examples10:29
- L-8 Build a Simple Reflex Agent in Python | Create a Smart Room Cleaning Agent14:15
- L-9 Goal-Based Agents Using Langchain Streamlit | Agentic AI33:25
- L-10 Learning Agents | Agentic AI Course04:15
- L-11 Reinforcement Learning Basics | Agentic AI Course14:16
- L-12 Value Function in Reinforcement Learning | V(s) Explained with Bellman Equation & Example09:26
- L-13 Learning Agents | Q-Learning Explained | Reinforcement Learning Tutorial with Python38:55
- L-14 LangGraph Tutorial: Build Agentic AI Systems Step by Step | Agentic AI02:25:34
- L-15 CrewAI - Agentic AI Framework01:03:07
- L-16 | Understanding Agno (formerly Phidata) : Multimodal Agentic AI Framework15:00
- L-17 Agno Tutorial: Create AI Agents with Tools & Memory33:57
- L-18 Agentic RAG with Agno52:01
- L-19 What is MCP (Model Context Protocol)?22:44
- L-20 How to Run and Connect Multiple MCP Servers with LangGraph on Local Machine31:33
- L-21 Creating a Custom MCP Server with LangGraph & Streamlit | Step by Step tutorial28:54
- L-22 Build a custom MCP server on the cloud from scratch | Step by Step tutorial15:13
- L-23 Using MCP Servers with Agno: From Local Setup to Cloud Deployment35:18
- L-24 How to Build Agentic AI Apps with OpenAI Agents SDK01:07:25
- L-25 How to Use MCP with OpenAI Agents SDK28:17
