Agentic AI Course Detailed Introduction

Course Overview

This is a complete tutorial series on Agentic AI (Intelligent Agent AI) produced by the codebasics channel. The course focuses on teaching how to build and understand intelligent AI agent systems, covering comprehensive content from foundational concepts to practical applications.

Course Features

• Author: codebasics
• Platform: YouTube
• Language: English
• Type: Video Tutorial
• Difficulty: Beginner to Advanced
• Duration: A complete series consisting of multiple videos

Course Content Structure

1. Foundational Theory

• Generative AI vs AI Agents vs Agentic AI (10:10)

  • Distinguishing between Generative AI, AI Agents, and Agentic AI concepts
  • Understanding application scenarios for different AI technologies

• What is Agentic AI and How Does it Work? (13:49)

  • Working principles of Agentic AI
  • Core concepts and technical architecture

• What is AI Agent in Artificial Intelligence? (8:53)

  • Basic concepts of AI Agents
  • Role and status in Artificial Intelligence

2. Technical Implementation

• Agentic AI Tutorial for Beginners | Langraph Tutorial (1:18:39)

  • Hands-on tutorial for beginners
  • Development using the Langraph framework

• AI Agents Tutorial For Beginners (26:37)

  • Introduction to AI Agent development
  • Cultivating foundational development skills

3. Protocols and Architecture

• What is A2A (Agent to Agent Protocol)? (13:03)

  • Detailed explanation of inter-agent communication protocols
  • Multi-agent system architecture

• Model Context Protocol Clearly Explained (15:04)

  • In-depth analysis of Model Context Protocol
  • Technical implementation details

4. Practical Projects

• MCP Tutorial: Build Your First MCP Server (13:38)
  • Building your first MCP server
  • Practical project development experience

5. Industry Development

• Gen AI Roadmap | Generative AI Roadmap 2025 (59:05)
  • Generative AI Development Roadmap 2025
  • Industry trends and future directions

Learning Objectives

Upon completing this course, learners will be able to:

• Understand the core concepts and working principles of Agentic AI
• Master the design and development of AI agent systems
• Build intelligent agents using tools like Langraph
• Implement communication and collaboration between agents
• Understand the development trends of AI agent technology

Target Audience

• AI/ML Engineers and Developers
• Researchers interested in intelligent agent technology
• Technicians looking to understand next-generation AI applications
• Enterprise AI Project Managers
• Computer Science students

Technology Stack

• Langraph: A framework for building AI agents
• MCP (Model Context Protocol): Model Context Protocol
• A2A Protocol: Agent-to-Agent Communication Protocol
• Generative AI: Foundational Generative AI technology

Course Advantages

1. Highly Systematic: A complete system from foundational concepts to practical applications
2. Practice-Oriented: Includes multiple practical projects and case studies
3. Cutting-Edge Technology: Covers the latest developments in AI agent technology
4. Progressive Learning: Suitable for learners of different levels
5. Free Access: Available for free viewing on the YouTube platform

Learning Suggestions

1. It is recommended to watch the videos in the playlist order.
2. Combine theoretical learning with hands-on practice.
3. Prepare your development environment for coding exercises.
4. Pay attention to relevant technical documentation and community discussions.
5. Regularly review and summarize what you have learned.

Summary

This is a highly comprehensive and practical Agentic AI tutorial series, suitable for learners who want to deeply understand and master intelligent agent AI technology. The course content offers both theoretical depth and practical breadth, making it a high-quality resource for learning this cutting-edge technology.