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

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.

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

Measuring and evaluating AI model performance, quality, and reliability for production use cases.

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

Learn how to build production-ready AI prototypes 

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