Q4 - 2026

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

Securing software systems — application security, threat modeling, authentication, and infrastructure protection.

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

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

Designing scalable, reliable software systems — architecture patterns, distributed systems, and technical tradeoffs.

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

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

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

By the end, you can turn any SaaS idea into a production-ready app, built without a dev using Claude Code, one of the top AI tools