Course Syllabus

Course overview, expectations, and the landscape of AI in business today

From neurons to LLMs — demystifying the technology powering the AI revolution

Master the craft of communicating with AI — from techniques to API calls

Ship a real product in 50 minutes, build your first AI agent, then read production code

Real APIs, error handling, memory — take your agents from simulated toys to production-ready tools

ReAct reasoning, multi-agent architectures, and the patterns that separate demos from production systems

Your agent is smart but doesn't know YOUR business — add company knowledge with Retrieval-Augmented Generation

One agent is useful. A team of agents is powerful. Build pipelines, coordinate handoffs, and manage agent teams.

Pick your department. Build your agent. Apply everything you've learned to YOUR career.

The best agents know when to ask for help — approval gates, confidence thresholds, and production safety

If you can't measure it, you can't trust it — build test suites, run evaluations, and prove your agent works

From notebook to product, from prototype to pitch — teams form, scope locks, and building begins

Ship it — live demos, peer voting, and the culmination of your agentic AI journey