Every lesson is slide-based, walkthrough-verified, and ends with a quiz. No fluff. No filler. Just engineering.
Beginner
⏱ 30 min
AI Agents 101 Start Here
What AI agents actually are, how they think, how they act, and why they're the future of software. Zero jargon. Full clarity.
Beginner
⏱ 30 min
Introduction to OpenClaw
A deep-dive into the OpenClaw ecosystem — architecture, components, philosophy, and how it all connects into a unified agent platform.
Beginner
⏱ 30 min
Installing OpenClaw
Full installation walkthrough across Mac, Linux, and Windows. VPS setup included. You'll have OpenClaw running before the lesson ends.
Beginner
⏱ 30 min
Docker Basics for AI Engineers
Containers, images, volumes, and networks — explained for the AI builder, not the DevOps engineer. Build your first containerized agent.
Beginner
⏱ 30 min
Prompt Engineering Fundamentals
System prompts, instruction hierarchy, chain-of-thought, and the patterns that separate amateur prompts from engineering-grade ones.
Beginner
⏱ 30 min
Running Local LLMs
Ollama, LM Studio, and OpenClaw integrations. Run Llama, Mistral, and Gemma locally — private, fast, and under your full control.
Intermediate
⏱ 30 min
Multi-Agent Systems
Orchestrators, sub-agents, parallel execution, and communication protocols. Build pipelines where multiple agents collaborate on one task.
Intermediate
⏱ 30 min
API Integrations
REST, webhooks, authentication flows, rate limiting, and connecting your agents to real external services — Slack, Notion, Airtable, and more.
Intermediate
⏱ 30 min
Agent Memory Systems
Short-term context, long-term vector storage, semantic retrieval, and building agents that actually remember across sessions.
Intermediate
⏱ 30 min
Secure Agent Design
Principle of least privilege, tool call validation, output sanitization, and building agents that don't become a liability when deployed.
Intermediate
⏱ 30 min
VPS Deployment
Take your agents live. Full VPS provisioning, NGINX reverse proxy, SSL certificates, systemd services, and production monitoring basics.
Intermediate
⏱ 30 min
AI Business Automation
End-to-end automation pipelines for real business workflows — lead gen, content, support, reporting, and beyond. Build things clients will pay for.
Advanced
⏱ 30 min
Red Teaming AI Agents
Attack your own systems before adversaries do. Structured red team methodology, jailbreak patterns, and adversarial testing frameworks.
Advanced
⏱ 30 min
Prompt Injection Defense
Classify, detect, and block prompt injection at every layer — system prompt, tool call, memory retrieval, and user input validation.
Advanced
⏱ 30 min
Sandboxing Techniques
Docker isolation, filesystem restrictions, network segmentation, and resource throttling for agents running in production environments.
Advanced
⏱ 30 min
Scaling Agent Infrastructure
Load balancing, horizontal scaling, queue-based task distribution, and observability stacks for production AI agent clusters.
Advanced
⏱ 30 min
AI Security Engineering Capstone
The Level 5 capstone. Design a complete threat model for an AI system, conduct a security audit, and defend your recommendations.