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Agents for everything else
AI Engineer · agents, ai engineering, developer tools, automation
AI directory search
Search across educators, skills, and resources.
Use this when you know the topic you need: Claude Code, MCP, evals, RAG, agents, product, coding, prompting, foundations, or model internals.
31 matches for "ai engineering"
Video matches
Watch first when you want a fast feel for the topic before opening courses, docs, or profiles.
Educators
Swyx
AI Engineer · Intermediate to advanced
A useful hub for the emerging AI engineering stack and practitioner talks.
Skills
AI engineering, Agents, Developer tools
Chip Huyen
AI Engineering · Intermediate to advanced
Good systems-level view of building AI applications responsibly.
Skills
AI engineering, Systems, Production ML
Addy Osmani
AI Engineering resources · Beginner to intermediate
Useful for software teams applying AI tools to real engineering work.
Skills
AI coding, Engineering workflows, Frontend
Latent Space
Latent Space · Intermediate to advanced
Good for staying current on how AI builders think about tools and models.
Skills
AI engineering, Industry context, Model ecosystem
Ben Lorica
The Data Exchange · Intermediate
Good practitioner interviews across data, ML, and AI engineering.
Skills
Data systems, ML engineering, AI trends
Sean Grove
OpenAI and AI engineering talks · Intermediate
Useful for thinking about AI-native software, structured workflows, and developer experience.
Skills
AI engineering, Developer tools, Agents, Structured data
Providers and platforms
GF
A fast, practical way to build vocabulary and intuition before going deeper into LLMs or AI engineering.
Topics
ML foundations, Classification, Embeddings, Neural networks
A
AssemblyAI
AssemblyAI YouTube · Beginner to intermediate
Practical developer tutorials and clear overviews of current AI engineering topics.
Topics
Speech AI, LLMs, Agents, ML concepts
MW
Made With ML
Made With ML · Intermediate
Useful path for production ML fundamentals that transfer to AI engineering.
Topics
MLOps, Testing, Deployment, ML systems
M
Modal
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
A
AutoGen
Microsoft AutoGen docs · Intermediate
Good for learning multi-agent design patterns and conversation-based orchestration.
Topics
Agents, Multi-agent workflows, Tool use, AI engineering
O
Ollama
Ollama docs · Beginner to intermediate
Practical route into running and testing local models on your own machine.
Topics
Local models, LLM tools, AI engineering, Privacy
LC
llama.cpp
llama.cpp examples · Intermediate to advanced
Core educational repo for understanding local inference, quantization, and efficient model running.
Topics
Local models, Inference, Quantization, AI engineering
Agent tools and skill directories
Engineering automation platform
VIKTOR.AI
VIKTOR.AI · AI-powered engineering apps and agents
Use this when the agent problem is domain engineering workflow automation, not general business admin.
Start
Find a repeatable engineering calculation, review, or reporting workflow and evaluate whether a domain app is safer than a general agent.
Learning paths
Production AI engineering
Engineering teams
Learn first
- Observability
- Cost and latency
- Deployment
- Data pipelines
Good matches
Open next
Resources
The AI Engineer Roadmap
Free tutorial · Matt Pocock · Beginner to intermediate
You want a guided path through core AI concepts, model selection, the AI engineering mindset, evals, and techniques for improving LLM-powered apps.
ai engineering, model selection, evals, llm apps
AI Engineering
Book · Chip Huyen · Intermediate to advanced
You are moving from demos to production systems.
ai engineering, production, systems
AI Agents in LangGraph
Short course · DeepLearning.AI · Intermediate
You want a focused course on building stateful AI agents and agent workflows with LangGraph.
agents, langgraph, tool use, agentic workflows, ai engineering
Building and Evaluating Advanced RAG Applications
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
LangChain for LLM Application Development
Short course · DeepLearning.AI · Beginner to intermediate
You want a fast introduction to building LLM applications with chains, retrieval, and tools.
llm apps, langchain, agents, rag, ai engineering
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Google Machine Learning Crash Course
Free course · Google for Developers · Beginner
You need practical ML vocabulary before deeper AI engineering.
ml foundations, classification, neural networks
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AI Engineer Talks
Conference videos · AI Engineer · Intermediate to advanced
You want practitioner talks from builders working on the current AI stack.
ai engineering, agents, developer tools
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Simon Willison: The last six months in LLMs in five minutes
Talk · Simon Willison · Beginner to advanced
You want a grounded tour of current LLM tooling, model tradeoffs, and the practical ecosystem.
llm tools, local models, ai engineering, model selection, frontier models
AI Engineer
Conference talks · Swyx · Intermediate to advanced
Use this when you want Swyx's material for ai engineering and related AI skills.
AI engineering, Agents, Developer tools
AI Engineering
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
AI Engineering resources
Newsletter · Addy Osmani · Beginner to intermediate
Use this when you want Addy Osmani's material for ai coding and related AI skills.
AI coding, Engineering workflows, Frontend
Latent Space
Podcast · Latent Space · Intermediate to advanced
Use this when you want Latent Space's material for ai engineering and related AI skills.
AI engineering, Industry context, Model ecosystem
OpenAI and AI engineering talks
Talks · Sean Grove · Intermediate
Use this when you want Sean Grove's material for ai engineering and related AI skills.
AI engineering, Developer tools, Agents, Structured data