Building AI Agents

What you'll learn

• Build AI agents using LangChain and CrewAI frameworks
• Implement agentic workflows with tool calling and decision loops
• Design memory systems for context-aware agent behavior
• Handle errors and edge cases in agent execution
• Create a functional research agent from scratch

Course Content

1. 01

   Agentic Design Patterns

   4 lessons · 12 min

   • Reflection PatternNo signup3 min
   • Locked until you enrollTool Use Pattern3 min
   • Locked until you enrollPlanning Pattern3 min
   • Locked until you enrollMulti-Step Workflows3 min
   • Quiz: Module 1: Agentic Design Patterns
2. 02

   Agent Frameworks Overview

   4 lessons · 12 min

   • Locked until you enrollLangChain & LangGraph4 min
   • Locked until you enrollCrewAI3 min
   • Locked until you enrollOpenAI Agents SDK3 min
   • Locked until you enrollChoosing the Right Framework2 min
   • Quiz: Module 2: Agent Frameworks Overview
3. 03

   Memory & Knowledge

   4 lessons · 12 min

   • Locked until you enrollContext Window Management3 min
   • Locked until you enrollRAG Integration4 min
   • Locked until you enrollShort-term vs Long-term Memory3 min
   • Locked until you enrollKnowledge Cutoffs & Updates2 min
   • Quiz: Module 3: Memory & Knowledge
4. 04

   Error Handling & Recovery

   4 lessons · 12 min

   • Locked until you enrollFailure Modes in Agents3 min
   • Locked until you enrollGraceful Degradation3 min
   • Locked until you enrollOutput Validation3 min
   • Locked until you enrollDebugging Agents3 min
   • Quiz: Module 4: Error Handling & Recovery
5. 05

   Build a Research Agent

   4 lessons · 12 min

   • Locked until you enrollProject Setup3 min
   • Locked until you enrollCore Logic3 min
   • Locked until you enrollTesting & Validation3 min
   • Locked until you enrollNext Steps3 min
   • Quiz: Module 5: Build a Research Agent