YouTube tutorials
Python Engineer
Beginner to intermediate
Use this when you want Patrick Loeber's material for pytorch and related AI skills.
AI educator
Python Engineer
Practical Python tutorials for ML fundamentals, PyTorch, and AI app basics.
Start with: Use the PyTorch beginner material if you need model-building basics.
YouTube tutorials
Beginner to intermediate
Use this when you want Patrick Loeber's material for pytorch and related AI skills.
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Educator video
Python Engineer · PyTorch, Python ML, LLM apps
Python developers should start here when they need pytorch, python ml, and llm apps. The strongest fit is a learner who wants material in these formats: youtube tutorials, articles.
Use the PyTorch beginner material if you need model-building basics. After that, open one related resource below and write down the exact workflow, concept, or implementation pattern you want to apply.
Practical Python tutorials for ML fundamentals, PyTorch, and AI app basics. Use this profile when you are comparing educators by topic, level, format, and practical usefulness rather than browsing random AI content.
Compare the skill coverage, the starting recommendation, the educator's own resources, and any videos when available. If you need pytorch, search the directory for that skill and shortlist three profiles before committing to a course, book, or playlist.
These are not by Patrick Loeber. They are included only as optional adjacent material after this educator's own videos and resources.
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Similar video from another educator
fast.ai · deep learning, pytorch, training, model internals
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Similar video from another educator
Daniel Bourke · pytorch, deep learning, computer vision, model training
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Similar video from another educator
Weights & Biases · evals, llm apps, observability, mlops
| Resource | Kind | Level | Use when |
|---|---|---|---|
|
Practical Deep Learning for Coders
fast.ai
|
Free course | Intermediate | You can code and want a practical route into training models. |
|
Build a Large Language Model From Scratch
Sebastian Raschka
|
GitHub repo / book | Intermediate | You want to build an LLM step by step. |
|
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. |
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LLM Evals
Hamel Husain
|
Guide | Intermediate | Your AI app needs quality checks before users see it. |
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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. |
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W&B LLM Evaluation Course
Weights & Biases
|
Free course | Intermediate | You need to debug and measure LLM app quality. |
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Learn PyTorch
Daniel Bourke
|
Free book and videos | Beginner to intermediate | You want to learn deep learning by writing PyTorch code. |
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fast.ai
Jeremy Howard
|
Free course | Intermediate | Use this when you want Jeremy Howard's material for deep learning and related AI skills. |
|
Build a Large Language Model From Scratch
Sebastian Raschka
|
Book | Intermediate | Use this when you want Sebastian Raschka's material for llm internals and related AI skills. |
|
Learn PyTorch
Daniel Bourke
|
Free book | Beginner to intermediate | Use this when you want Daniel Bourke's material for pytorch and related AI skills. |