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

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.

Operating and deploying large language models in production — fine-tuning, inference, monitoring, and cost optimization.

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.

Build and deploy 4 real AI products end-to-end: React, Node.js, a self-hosted LLM, agentic RAG, guardrails, observability, and tracing.

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