Three tracks. Pick your altitude.

New to AI or just getting started? The Explorer track gives you a solid foundation: what AI actually is, how to talk to it, and how to make it useful in your everyday life.

Prerequisite: No prerequisites. If you have used a search engine, you are ready.

1. 01What Is AI, Really?Demystifying AI, LLMs, how they work, and what the hype is actually about.Free
2. 02Your First AI ConversationHow to talk to an LLM effectively, understanding basic prompting principles.Free
3. 03AI for Everyday LifeUsing AI for email, scheduling, research, and brainstorming.Free
4. 04Prompt Engineering 101The structure of good prompts: roles, context, examples, and clear instructions.Account
5. 05AI Ethics & SafetyUnderstanding bias, hallucinations, privacy concerns, and when NOT to trust AI.Account
6. 06Exploring the AI EcosystemDiscover the full range of AI creativity, from images and video to music and voice.Account

You know the basics and you're ready to build. The Architect track teaches you to connect AI to real tools, automate workflows, work with APIs, and ship your first AI-powered project.

Prerequisite: Comfortable prompting ChatGPT or Claude. Familiarity with basic automation concepts helps but is not required.

1. 01Advanced Prompt EngineeringChain-of-thought prompting, few-shot examples, and writing effective system prompts.Free
2. 02AI-Powered WorkflowsConnecting AI to real tools: Zapier, Make, n8n, and automation platforms.Free
3. 03Working With APIsWhat APIs are, how to make requests, and how to call LLM APIs directly.Free
4. 04Building AI AssistantsCreating Custom GPTs, Claude Projects, and crafting powerful system prompts.Account
5. 05Data + AIUsing AI with spreadsheets, databases, and CSV analysis to unlock data insights.Account
6. 06Build, Deploy & Share Your AI ProjectFrom idea to live deployment using modern tools, then get real feedback and iterate.Account

For practitioners ready to go deep. The Commander track covers multi-agent systems, RAG pipelines, fine-tuning, production deployments, and the strategic side of AI leadership.

Prerequisite: Understand APIs, prompt engineering, and basic automation workflows. This track assumes you are building production systems.

1. 01Multi-Agent SystemsAgent architectures, tool use, and orchestrating multiple AI agents together.Free
2. 02RAG & Knowledge SystemsRetrieval-augmented generation, embeddings, and working with vector databases.Free
3. 03Fine-Tuning & CustomizationWhen and how to fine-tune models, dataset preparation, and evaluation.Free
4. 04Production AI SystemsMonitoring, error handling, cost optimization, and reliability at scale.Account
5. 05AI Strategy & ImplementationEvaluating AI ROI, building business cases, and leading AI initiatives.Account
6. 06Monetize Your AI SkillsTurn your AI expertise into income through freelancing, selling digital products, and teaching.Account