Product managers who drive strategy, development, and launch of products.

Designers who craft user experiences, interfaces, and visual design.

Startup founders building new businesses, from MVP to scale.

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.

Business analysts defining requirements and bridging business and technical teams.

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

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.

Go from idea to a live AI product, using the spec, design, build, and test process real product teams use.

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