Practical techniques for reliable structured output. Covers JSON mode, function calling, constrained generation, and handling edge cases.
A practical playbook for building a high-output AI engineering workflow, from morning planning and PR drafting to debugging, documentation, code reviews, and metrics that actually matter.
An in-depth analysis of a real-world RAG system failure in the legal industry, and the architectural lessons every AI engineer should learn from it.
Real infrastructure patterns for high-volume LLM applications: queue management, intelligent retries, request batching, and graceful degradation.
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Saturday 9th Aug 2026 · 11 AM IST · 2 hours · ₹999 / $19 · Full refund guarantee
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20 weeks of live weekend classes. Build AI agents, RAG apps, and production ML systems with 1:1 mentorship from a Senior AI Engineer.