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AI Engineering with Chip Huyen
Chip Huyen · ai engineering, production, systems, mlops
AI directory search
Use this when you know the topic you need: Claude Code, MCP, evals, RAG, agents, product, coding, prompting, foundations, or model internals.
23 matches for "production"
Watch first when you want a fast feel for the topic before opening courses, docs, or profiles.
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Chip Huyen · ai engineering, production, systems, mlops
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Full Stack Deep Learning · mlops, deployment, product ml, production
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MLOps Community · mlops, production ml, ai systems, deployment
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Langfuse · observability, tracing, prompt management
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Made With ML · mlops, testing, deployment
AI Engineer · Intermediate to advanced
A useful hub for the emerging AI engineering stack and practitioner talks.
Skills
AI engineering, Agents, Developer tools
AI Engineering · Intermediate to advanced
Good systems-level view of building AI applications responsibly.
Skills
AI engineering, Systems, Production ML
Typeshare and digital writing · Beginner to intermediate
Good for learning how AI can support structured writing and content production without replacing judgment.
Skills
AI-assisted writing, Content systems, Personal brand, Idea development
Hamza Farooq on Maven · Beginner to intermediate
Useful for PMs who need to design, evaluate, and ship reliable AI systems beyond impressive demos.
Skills
Agentic AI, AI product strategy, Evals, Production AI
Langfuse Docs · Intermediate
Good operational material for tracing, scoring, and improving production LLM apps.
Topics
Observability, Prompt management, Evals, Tracing
Made With ML · Intermediate
Useful path for production ML fundamentals that transfer to AI engineering.
Topics
MLOps, Testing, Deployment, ML systems
MLOps Community · Intermediate to advanced
Good for learning how practitioners actually ship and maintain ML/AI systems.
Topics
MLOps, Production ML, AI systems, Community learning
Modal examples · Intermediate
Useful for learning how to run AI workloads, inference jobs, and GPU tasks in production-like environments.
Topics
Deployment, GPU workloads, AI engineering, Batch jobs
Milvus tutorials · Intermediate
Good for learning vector database concepts and scaling retrieval systems.
Topics
Vector databases, RAG, Embeddings, Search
Engineering teams
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Good matches
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Book · Chip Huyen · Intermediate to advanced
You are moving from demos to production systems.
ai engineering, production, systems
Short course · DeepLearning.AI · Intermediate
You already know basic RAG and need better retrieval, evaluation, and production-quality patterns.
rag, evals, retrieval, llm apps, ai engineering
API reference · DeepSeek · Intermediate
You need the live model identifiers available from DeepSeek before wiring production or eval configs.
deepseek, model selection, api reference, reasoning models, coding models
Guide · OpenRouter · Intermediate
You need to learn how OpenRouter routes across providers, handles fallbacks, and exposes preference controls before relying on it in production.
openrouter, provider routing, fallbacks, model selection, reliability
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Docs and cookbooks · Langfuse · Intermediate
You need production LLM tracing, scoring, and prompt operations.
observability, tracing, prompt management
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Free course · Made With ML · Intermediate
You need production ML habits that transfer to AI systems.
mlops, testing, deployment
Book · Chip Huyen · Intermediate to advanced
Use this when you want Chip Huyen's material for ai engineering and related AI skills.
AI engineering, Systems, Production ML
Maven cohort course · Agentic AI for Product Managers · Beginner to intermediate
Use this when you want Agentic AI for Product Managers's material for agentic ai and related AI skills.
Agentic AI, AI product strategy, Evals, Production AI