Description

This AI Agent training course teaches you how to build autonomous AI agents that can plan, reason, and execute multi-step tasks on your behalf using modern agentic frameworks. You will learn agent architectures, tool use, memory, planning, and orchestration. The course covers frameworks like LangGraph, CrewAI, AutoGen, Claude Computer Use, and OpenAI Assistants, plus how to deploy production-grade agent systems.

Course Content

Module 1: What Are AI Agents?

  • The shift from chatbots to agents
  • Types of AI agents and when to use them
  • Agent architectures and components

Module 2: Agent Foundations

  • Reasoning, planning, and reflection
  • Tool use and function calling
  • Memory: short-term and long-term
  • The ReAct pattern and beyond

Module 3: Building Your First Agent

  • Selecting a base model
  • Defining tools and capabilities
  • Writing the agent system prompt
  • Testing and iterating

Module 4: Agent Frameworks

  • LangChain and LangGraph deep dive
  • CrewAI for multi-agent collaboration
  • AutoGen for conversational agents
  • OpenAI Assistants and Claude Computer Use

Module 5: Multi-Agent Systems

  • Designing agent teams
  • Communication protocols between agents
  • Supervisor patterns and orchestration
  • When multi-agent is overkill

Module 6: Agent Tools and Integrations

  • Building custom tools for agents
  • Web browsing and search capabilities
  • Code execution sandboxes
  • Connecting to APIs, databases, and files

Module 7: Production Agents

  • Deploying agents safely
  • Monitoring, debugging, and observability
  • Handling failures and edge cases
  • Cost, latency, and performance

Module 8: Safety and the Future

  • Agent safety and alignment
  • Prompt injection in agentic systems
  • Human oversight and guardrails
  • Careers in agentic AI

Duration: 6 – 8 weeks

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