The complete guide to
building AI Agents
From "what's an agent?" to deploying production systems. Every module ends with code you'll write and run. No filler. No paywall.
Build, don't just read
Every module ends with running code. Raw Python, LangChain, CrewAI, OpenAI Agents SDK — you'll write them all.
Memory is the missing piece
Most courses skip persistence. We don't. You'll learn why agents forget and exactly how to fix it.
Production-ready by module 18
Loop detection, recovery, deployment, monitoring — the things that break agents at 3am.
The full 24 modules
Click any available module to start. No signup needed.
Foundations
4 modulesWhat Are AI Agents? The Complete Beginner's Guide
BeginnerUnderstand what AI agents are, how they work, and why they matter. The mental model that makes everything else easier.
AI Agent Development Setup: Your Complete Environment Guide
BeginnerSet up Python, LangChain, CrewAI, OpenAI Agents SDK, Ollama, and Octopoda. Every tool verified and ready.
Build Your First AI Agent in 20 Minutes
BeginnerBuild a working AI agent from scratch in raw Python, then rebuild it in LangChain, CrewAI, and OpenAI Agents SDK.
AI Agent Architecture Patterns: Design Agents That Work
IntermediateReAct, tool-use vs conversational, single-turn vs multi-turn, and the decision tree for every agent project.
Framework Deep Dives
4 modulesLangChain Agent Tutorial: Tools, Memory, and Persistence
IntermediateBuild LangChain agents with custom tools, LCEL chains, and persistent memory. Complete working code.
CrewAI Tutorial: Building Multi-Agent Systems That Actually Work
IntermediateMulti-agent systems with roles, tasks, and crews. Build a content pipeline with researcher, writer, and editor agents.
OpenAI Agents SDK Tutorial: Build Multi-Agent Systems with Handoffs and Memory
IntermediateThe leanest framework for OpenAI-powered agents. Handoffs, guardrails, and tracing with persistent memory.
Why AI Agents Forget Everything (And Why It Matters)
IntermediateUnderstanding why every AI agent loses context by default and what it costs you.
Memory & State
3 modulesAI Agent Memory Python: Adding Persistent Memory to Any Agent
IntermediateGive your agents memory that survives restarts, crashes, and redeployments. Three lines of code.
AI Agent Semantic Search Memory: Finding Memories by Meaning
IntermediateFind memories by meaning, not just exact keys. Build agents that remember intelligently.
Running AI Agents Locally with Ollama Agent Memory
IntermediateRun agents entirely on your machine with local LLMs. Zero cost, full privacy, persistent memory.
Production
3 modulesAI Agent Monitoring: The Observability Stack Your Agents Need
AdvancedWatch what your agents actually do. Token spend, tool calls, memory ops, and drift detection.
AI Agent Loop Detection: Detect and Fix Agent Loops Before They Drain Your Budget
AdvancedCatch agents stuck in repetitive patterns before they waste tokens and time.
AI Agent Crash Recovery: Build Resilient Agents That Never Lose Progress
AdvancedHeartbeat monitoring, snapshot/restore, and building agents that survive failure.
Advanced Patterns
3 modulesMulti-Agent Memory Sharing: How to Build AI Agents That Share What They Know
AdvancedShared namespaces, cross-agent context, and building agents that collaborate through memory.
Multi-Agent Coordination and Orchestration
AdvancedSequential, parallel, supervisor, and swarm patterns for managing AI agent teams.
Debugging Multi-Agent Systems: Tools and Techniques
AdvancedAudit trails, structured logging, and workflows for finding what went wrong in multi-agent pipelines.
Deployment
4 modulesDeploying AI Agents to Production: The Complete Guide
AdvancedFrom local script to production service. Docker, PostgreSQL, health checks, and a 15-point checklist.
Scaling AI Agent Systems: From One Instance to Millions of Operations
AdvancedHorizontal scaling, queue architectures, caching, rate limits, and cost modelling for agent systems.
Security and Safety for AI Agents
AdvancedPrompt injection defence, access control, memory security, sandboxing, and audit trails.
Agent Evaluation and Testing: A Complete Framework
AdvancedUnit tests, integration tests, evaluation frameworks, regression testing, and CI/CD for agents.
Expert Patterns
3 modulesAdvanced AI Agent Patterns: From Self-Improving Agents to Meta-Orchestration
AdvancedSelf-improving agents, meta-orchestration, cross-framework pipelines, and patterns that only matter at scale.
Building a Production AI Agent System — Capstone Project
AdvancedA complete multi-agent research system with shared memory, orchestration, monitoring, and Docker deployment.
The Future of AI Agents and Where to Go Next
All levelsWhere the ecosystem is heading and your recommended next steps.
Ready to build your first agent?
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