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

Data scientists who apply statistical and ML techniques to extract insights from data.

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.

Gain the key skills for designing effective agents and optimizing their performance. Dive deep into evaluations, tools, MCP, and RL.

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