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AI Engineering

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Building AI Products with LLMs

Your demo works on three prompts and falls apart on the fourth. Learn the patterns that make LLM features actually hold up once real users start typing into them.

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RAG From Scratch

Stop copy-pasting RAG tutorials that hallucinate citations. Build retrieval, chunking, hybrid search, and evals end to end, so you understand why each piece is there.

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LLM Evals & Testing

You shipped an AI feature and have no idea if it is getting better or worse. Learn to build golden sets, offline evals, and regression suites so you can ship with confidence.

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Production AI Systems

Your prototype costs ten cents per call and takes eight seconds. Learn the caching, fallback, and observability patterns that turn AI demos into systems that scale.

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Fine-Tuning & Distillation

Stop guessing whether to fine-tune or just write a better prompt. Learn when each approach actually wins, with hands-on LoRA, SFT, and distillation you can apply this week.

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Multimodal AI Engineering

Your users send screenshots, voice notes, and PDFs, not clean text. Learn to build pipelines that handle vision, audio, and documents without falling apart at the seams.

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More in AI

  • AI Agents→
  • Prompt Engineering→
  • Generative AI→
  • Machine Learning→
  • LLMs & Foundation Models→
  • AI Product Management→
  • Computer Vision→
  • Natural Language Processing→
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