InfoTekGuide

Course overview:

 

This course teaches the design of autonomous AI systems capable of reasoning, planning, and acting. Participants build single- and multi-agent systems with memory, tool calling, and human-in-the-loop oversight, using LangGraph, CrewAI, AutoGen, n8n, and Microsoft Copilot Studio. ​​

Course Content

 

Module 1: Introduction to Agentic AI 

• What makes a system “agentic” 

• Levels of autonomy 

• Enterprise use cases 

 

Module 2: AI Agent Architecture 

• Reasoning loops (ReAct pattern) 

• Planning and decision-making 

 

Module 3: Memory & Context Management 

• Short-term vs. long-term memory 

• Vector-based memory stores 

 

Module 4: Tool Calling & Integrations 

• Function calling 

• External API integration 

• Plug-ins and extensions 

 

Module 5: Multi-Agent Systems I 

• Agent roles and specialization 

• Communication protocols between agents 

 

Module 6: Multi-Agent Systems II 

• Orchestration patterns 

• Supervisor/manager agents 

 

Module 7: Agentic Workflow Design with LangGraph 

• Graph-based agent workflows 

• State management 

 

Module 8: CrewAI & AutoGen 

• Building collaborative agent crews 

• Role-based agent teams