Skip to content
SDB

AI Tutorials

Agentic AI

Learn how to build AI agents that reason, use tools, and collaborate — covering CrewAI, LangGraph, AutoGen, MCP, A2A, ACP, ANP, UCP, and TDF with production-ready code.

14 chapters · 402 min

← All AI tutorials

Build autonomous AI agents with real-world frameworks

  1. Ch. 01

    Introduction to Agentic AI

    What AI agents are, how they differ from LLMs, and why they matter

    beginner · 20 min

    Read →
  2. Ch. 02

    Agent Architectures & Reasoning

    ReAct, chain-of-thought, tool calling, and memory patterns that power modern agents

    intermediate · 25 min

    Read →
  3. Ch. 03

    CrewAI — Multi-Agent Collaboration

    Build teams of specialized AI agents that work together on complex tasks

    intermediate · 30 min

    Read →
  4. Ch. 04

    LangGraph — Stateful Agent Workflows

    Model agents as state machines with fine-grained control over complex, cyclic workflows

    intermediate · 35 min

    Read →
  5. Ch. 05

    AutoGen — Conversational Multi-Agent Systems

    Microsoft's framework for agents that converse, critique, and collaborate via chat

    intermediate · 30 min

    Read →
  6. Ch. 06

    MCP — Model Context Protocol

    The open standard for connecting AI agents to tools, data, and context securely

    intermediate · 30 min

    Read →
  7. Ch. 07

    Real-World Agentic AI Use Cases

    How production teams are deploying AI agents across software, research, customer service, and more

    beginner · 20 min

    Read →
  8. Ch. 08

    Building Your First Agent

    End-to-end: design, implement, evaluate, and deploy a production-ready AI agent

    advanced · 45 min

    Read →
  9. Ch. 09

    A2A — Agent-to-Agent Protocol

    Google's open protocol for cross-platform agent interoperability and capability discovery

    intermediate · 25 min

    Read →
  10. Ch. 10

    ACP — Agent Communication Protocol

    IBM's REST-native standard for simple, framework-agnostic agent communication

    intermediate · 25 min

    Read →
  11. Ch. 11

    ANP — Agent Network Protocol

    Decentralized agent discovery and secure communication using DIDs and JSON-LD

    advanced · 30 min

    Read →
  12. Ch. 12

    UCP — Universal Commerce Protocol

    The emerging standard for agents that autonomously transact, negotiate, and conduct business

    advanced · 30 min

    Read →
  13. Ch. 13

    TDF — Task Definition Framework

    Standardizing how tasks are defined, assigned, tracked, and verified across agent systems

    intermediate · 25 min

    Read →
  14. Ch. 14

    Multi-Agent Communication Protocols — Deep Dive

    A2A, ACP, and ANP working together: interoperability, routing, and production patterns

    advanced · 32 min

    Read →