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

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

Building technical literacy — understanding APIs, databases, system architecture, and engineering tradeoffs.

Identifying opportunities and validating what to build through customer research, experimentation, and prioritization.

Business analysts defining requirements and bridging business and technical teams.

Developing intuition for what makes a great product — evaluating ideas, understanding user needs, and making tradeoff decisions.

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

In 9 days, you'll build a working product prototype from scratch.

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