From Zero to AI Operator

Understanding systems thinking and how AI actually works in business contexts.

Understanding systems thinking and how AI actually works in business contexts.

Develop the mental models and frameworks that separate great AI Operators from good ones. Learn systems thinking, decision-making frameworks, and how to stay current.

Learn about different LLMs, their strengths, and how to use them effectively.

Build trustworthy AI systems with proper data privacy, security best practices, and ethical considerations. Learn GDPR basics and responsible AI development.

Master content creation at scale using AI tools for writing, voice, images, and video.

Understanding the essential tools you'll use throughout your AI Operator journey—what they do, when to use them, and why they matter.

Master Notion, Airtable, and Google Sheets to build powerful dashboards and databases that serve as your AI operations command center.

Graduate from spreadsheets to real databases and vector stores. Learn Supabase, PostgreSQL basics, and how to implement vector search for AI applications.

Master Zapier, Make, and n8n to build sophisticated multi-step workflows that connect all your tools. Learn error handling, monitoring, and advanced automation patterns.

Master REST APIs, webhooks, authentication methods, and API testing. Learn to work with any tool's API, even when pre-built integrations don't exist.

Build production-ready Retrieval-Augmented Generation systems with advanced chunking, hybrid search, reranking, and quality control. Master the patterns that power enterprise AI knowledge bases.

Build autonomous AI agents that can use tools, make decisions, and execute multi-step tasks. Master prompt chaining, tool calling, the ReAct pattern, and memory systems for production agent workflows.

Transform projects into products by implementing Stripe payments and Supabase authentication. Learn to handle user sessions, subscriptions, and secure access.

Keep your AI systems healthy with error tracking, analytics, and performance monitoring. Learn Sentry, PostHog, and production observability.

Take AI projects from idea to launched product. Learn MVP development, user feedback loops, iteration strategies, and how to build products people actually want.

Build a thriving AI consulting practice. Master client discovery, pricing strategies, proposal writing, and project management for AI implementations.

Build a portfolio that gets you hired or wins clients. Learn to present your work, write compelling case studies, and position yourself as a professional AI Operator.