Building AI Agents from Scratch
Design and build autonomous AI agents that can reason, use tools, and complete complex tasks. This advanced path covers agent architectures, retrieval-augmented generation (RAG), memory systems, multi-agent orchestration, and production deployment.
What You'll Learn
- Understand AI agent architectures and design patterns
- Build agents with tool use and function calling
- Implement RAG (Retrieval-Augmented Generation) for knowledge grounding
- Design memory systems for persistent agent context
- Orchestrate multi-agent systems for complex workflows
- Handle error recovery, safety guardrails, and evaluation
- Deploy agents to production with monitoring and observability
- Choose the right frameworks: LangChain, CrewAI, AutoGen, and more
Course Lessons
What Are AI Agents? Architecture Overview
20 min readUnderstand the core components of AI agents — perception, reasoning, planning, action, and memory — and the major architectural patterns.
Read lesson →Tool Use and Function Calling
25 min readTeach agents to use external tools — APIs, databases, web search, code execution — through function calling and tool schemas.
Read lesson →RAG: Grounding Agents with Knowledge
22 min readImplement Retrieval-Augmented Generation to give agents access to up-to-date, domain-specific knowledge from your documents.
Read lesson →Memory Systems for AI Agents
20 min readDesign short-term and long-term memory systems — conversation history, vector stores, and persistent context management.
Read lesson →Multi-Agent Orchestration
22 min readBuild systems where multiple agents collaborate — delegation, consensus, specialized roles, and workflow management.
Read lesson →Error Handling, Safety, and Guardrails
20 min readImplement robust error recovery, safety guardrails, output validation, and human-in-the-loop controls for production agents.
Read lesson →Agent Frameworks: LangChain, CrewAI, and More
20 min readCompare the major agent-building frameworks — LangChain, CrewAI, AutoGen, Semantic Kernel — and choose the right one for your project.
Deploying Agents to Production
18 min readTake agents from prototype to production — hosting, scaling, monitoring, cost management, and observability best practices.
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