Course Curriculum

    1. Course Overview

    2. Learning Objectives

    1. What is Context in LLMs?

    2. Build the Context Window

    3. Why Chains Fail?

    4. Agents: Adaptive Control Flows

    5. Anatomy of Context Flows

    6. Plan and Execute Agents

    7. From Chains to Agents

    1. The Reliability Problem

    2. LangGraph

    3. Getting Started with LangGraph

    4. Implementing Components

    5. RAG Agent with LangGraph

    6. Engineering Reliable Agent Workflows

    1. Reflection Pattern

    2. Reflection Pattern

    3. Tool Use Pattern

    4. Tool Use Pattern

    5. Planning Pattern

    6. Planning Pattern

    7. Agentic Design Patterns

    1. Multi-Agent Collaboration

    2. Multi-Agent Architectures

    3. Multi-Agent Collaboration

    4. Multi-Agent Collaboration

    1. Foundations of Protocol

    2. Model Context Protocol

    3. MCP Client Using Streamlit

    4. Agent2Agent Protocol

    5. Agent Communication Protocol

    6. Agentic AI Protocols

About this course

  • Free
  • 40 lessons
  • 1.5 hours of video content