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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.

27 matches for "llm apps"

Video matches

Watch first when you want a fast feel for the topic before opening courses, docs, or profiles.

LLM evaluation with W&B video thumbnail

LLM evaluation with W&B

Weights & Biases · evals, llm apps, observability, mlops

Educators

Jason Liu profile photo

Jason Liu

Instructor · Intermediate

Practical patterns for getting reliable structured data from LLMs.

Skills

Structured outputs, Extraction, RAG

Hamel Husain profile photo

Hamel Husain

Hamel's AI evals guides · Intermediate to advanced

Very practical material on evaluating LLM apps before they disappoint users.

Skills

Evals, RAG, LLM product quality

Patrick Loeber profile photo

Patrick Loeber

Python Engineer · Beginner to intermediate

Practical Python tutorials for ML fundamentals, PyTorch, and AI app basics.

Skills

PyTorch, Python ML, LLM apps

Greg Kamradt profile photo

Greg Kamradt

Data Independent AI tutorials · Beginner to intermediate

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

Skills

RAG, LLM apps, Prompting, Evaluation

Krish Naik profile photo

Krish Naik

Krish Naik AI tutorials · Beginner to intermediate

Large catalog of practical machine learning, deep learning, and generative AI tutorials.

Skills

Machine learning, Deep learning, LLM apps, MLOps

Providers and platforms

L

LangChain

LangChain Academy · Intermediate

Useful when you are ready to build multi-step LLM applications, agents, and graph-based workflows.

Topics

LangGraph, Agents, LLM orchestration, RAG

WB

Weights & Biases

W&B Courses · Intermediate

Good for builders who need to measure, debug, and improve LLM apps rather than just demo them.

Topics

LLM apps, Evals, Experiment tracking, MLOps

L

Langfuse

Langfuse Docs · Intermediate

Good operational material for tracing, scoring, and improving production LLM apps.

Topics

Observability, Prompt management, Evals, Tracing

M

Mirascope

Mirascope Learn · Intermediate

Useful for Python developers who want clean abstractions around prompts, tools, and model calls.

Topics

LLM app architecture, Prompt engineering, Tool calling

P

Promptfoo

Promptfoo Docs · Intermediate

Very practical for regression testing prompts, model changes, and LLM outputs.

Topics

Prompt testing, Evals, Red teaming

Good for beginners who want guided coding exercises while learning AI concepts.

Topics

AI foundations, Python, Prompting, LLM apps

R

Replicate

Replicate docs and examples · Beginner to intermediate

Fast route to test many hosted AI models without managing infrastructure.

Topics

Model APIs, Prototyping, Image generation, LLM apps

Resources

AI SDK v6 Crash Course

Workshop · Matt Pocock · 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.

ai sdk, llm apps, agents, streaming, evals

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

Vercel AI SDK Tutorial

Free tutorial · Matt Pocock · Beginner to intermediate

You want to build TypeScript LLM apps with Vercel's AI SDK, including streaming, structured outputs, model switching, embeddings, tool calls, and agents.

ai sdk, typescript, streaming, structured outputs, tool calling

LLM Evals

Guide · Hamel Husain · Intermediate

Your AI app needs quality checks before users see it.

evals, quality, llm apps

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

W&B LLM Evaluation Course video thumbnail

W&B LLM Evaluation Course

Free course · Weights & Biases · Intermediate

You need to debug and measure LLM app quality.

evals, llm apps, observability

Python Engineer

YouTube tutorials · Patrick Loeber · Beginner to intermediate

Use this when you want Patrick Loeber's material for pytorch and related AI skills.

PyTorch, Python ML, LLM apps

Data Independent AI tutorials

YouTube tutorials · Greg Kamradt · Beginner to intermediate

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

RAG, LLM apps, Prompting, Evaluation

Krish Naik AI tutorials

YouTube tutorials · Krish Naik · Beginner to intermediate

Use this when you want Krish Naik's material for machine learning and related AI skills.

Machine learning, Deep learning, LLM apps, MLOps

Nicholas Renotte AI tutorials

YouTube tutorials · Nicholas Renotte · Beginner to intermediate

Use this when you want Nicholas Renotte's material for computer vision and related AI skills.

Computer vision, LLM apps, Python ML, Deep learning