Engineers and engineering leaders who build, deploy, and scale software systems.

GTM professionals: sales, revenue operations, GTM engineering, customer success, and marketers focused on pipeline, positioning, pricing and launches.

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.

Executive communication — presenting to boards, writing memos, running all-hands, and high-stakes messaging.

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

Model Context Protocol — building tool integrations and server connections for AI agents.

Building retrieval-augmented generation and search systems — vector databases, embeddings, ranking, and retrieval pipelines.

Go from engineer worried about AI to the FDE who builds agentic AI and wins the customer: the two halves of the job, on one real project.

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