AI educator

Greg Kamradt

Data Independent AI tutorials

Practical walkthroughs for retrieval, LLM application patterns, and common developer questions.

Start with: Search the channel for the RAG or LangChain workflow you are building.

Courses and tutorials

YouTube tutorials

Data Independent AI tutorials

Beginner to intermediate

Use this when you want Greg Kamradt's material for rag and related AI skills.

Skills

Learner questions

Who should learn from Greg Kamradt?

Developers learning RAG and LLM apps should start here when they need rag, llm apps, prompting, and evaluation. The strongest fit is a learner who wants material in these formats: youtube tutorials, code walkthroughs.

What should I do first?

Search the channel for the RAG or LangChain workflow you are building. After that, open one related resource below and write down the exact workflow, concept, or implementation pattern you want to apply.

What problem does this help with?

Practical walkthroughs for retrieval, LLM application patterns, and common developer questions. Use this profile when you are comparing educators by topic, level, format, and practical usefulness rather than browsing random AI content.

How do I compare this with other educators?

Compare the skill coverage, the starting recommendation, the educator's own resources, and any videos when available. If you need rag, search the directory for that skill and shortlist three profiles before committing to a course, book, or playlist.

More related resources

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Prompt Engineering Guide DAIR.AI	Guide	Beginner to advanced	You want examples of prompting techniques and patterns.
AI SDK v6 Crash Course Matt Pocock	Workshop	Intermediate	You want a structured AI SDK v6 course that covers model choice, text and object generation, UI streams, agents, persistence, context engineering, evals, and advanced app patterns.
The AI Engineer Roadmap Matt Pocock	Free tutorial	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.
LLM Evals Hamel Husain	Guide	Intermediate	Your AI app needs quality checks before users see it.
Building and Evaluating Advanced RAG Applications DeepLearning.AI	Short course	Intermediate	You already know basic RAG and need better retrieval, evaluation, and production-quality patterns.
LangChain for LLM Application Development DeepLearning.AI	Short course	Beginner to intermediate	You want a fast introduction to building LLM applications with chains, retrieval, and tools.
GPT-5.5 prompting guide OpenAI	Guide	Intermediate	You want the official prompting adjustments for GPT-5.5 instead of reusing older GPT-4 or GPT-5 prompt habits unchanged.
OpenAI model optimization OpenAI	Guide	Intermediate	You need a practical optimization loop across prompt changes, evals, and fine-tuning rather than guessing which knob to turn next.
OpenAI Retrieval guide OpenAI	Guide	Intermediate	You need the official path for file search, retrieval, and grounded answers before designing a RAG stack.