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

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

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

User researchers conducting interviews, usability studies, and customer research to inform product decisions.

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.

Setting strategic direction, making high-stakes decisions, and translating vision into execution.

User experience design — information architecture, interaction design, usability, and end-to-end experience flows.

Conducting user interviews, surveys, and usability studies to understand customer needs and validate decisions.

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

Automating professional workflows with AI tools — productivity, operations, and task automation.

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

De-risk AI: Take an AI-First Service Design approach, avoid approaching AI as a tech or automation effort.

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