Broad professional audience — content relevant across many roles and functions.

Applying AI tools and techniques to professional workflows — assign alongside more specific AI topics.

Building autonomous AI agent systems that take actions, use tools, and orchestrate multi-step workflows.

Building prototypes and MVPs to test ideas quickly before committing to full development.

Using AI coding assistants and tools to write, review, and ship code faster.

Using Claude Code to build and ship software through an AI-powered command-line coding workflow.

Designing and optimizing the context window for LLM applications — prompt structure, memory, and information retrieval.

Model Context Protocol — building tool integrations and server connections for AI agents.

Using AI tools like Cursor, Replit, and Lovable to build and ship functional software without a traditional engineering background.

Become a Certified Claude Code Developer, Build to Prove It

PhD in ML | Google AI Accelerator Alum

Google