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

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

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

Applying AI tools and techniques to professional workflows — assign alongside more specific AI topics.

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

Master the operational layer most AI courses skip: evals, fine-tuning, serving, cost control, and production reliability.

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