YouTube tutorials
Krish Naik AI tutorials
Beginner to intermediate
Use this when you want Krish Naik's material for machine learning and related AI skills.
AI educator
Krish Naik AI tutorials
Large catalog of practical machine learning, deep learning, and generative AI tutorials.
Start with: Pick a playlist that matches your current level and follow the code.
YouTube tutorials
Beginner to intermediate
Use this when you want Krish Naik's material for machine learning and related AI skills.
Developers and data science learners should start here when they need machine learning, deep learning, llm apps, and mlops. The strongest fit is a learner who wants material in these formats: youtube tutorials, code walkthroughs.
Pick a playlist that matches your current level and follow the code. After that, open one related resource below and write down the exact workflow, concept, or implementation pattern you want to apply.
Large catalog of practical machine learning, deep learning, and generative AI tutorials. 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 machine learning, search the directory for that skill and shortlist three profiles before committing to a course, book, or playlist.
| 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. |
|
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. |
|
Google Machine Learning Crash Course
Google for Developers
|
Free course | Beginner | You need practical ML vocabulary before deeper AI engineering. |
|
W&B LLM Evaluation Course
Weights & Biases
|
Free course | Intermediate | You need to debug and measure LLM app quality. |
|
Kaggle Intro to Machine Learning
Kaggle
|
Micro-course | Beginner | You need small exercises for ML basics. |
|
Learn PyTorch
Daniel Bourke
|
Free book and videos | Beginner to intermediate | You want to learn deep learning by writing PyTorch code. |
|
Made With ML
Made With ML
|
Free course | Intermediate | You need production ML habits that transfer to AI systems. |
|
Full Stack Deep Learning Lectures
Full Stack Deep Learning
|
Course videos | Intermediate to advanced | You want the whole lifecycle of ML and AI product development. |