What are Weights & Biases Courses?
Weights & Biases is a developer-first MLOps platform used by ML teams at companies like OpenAI, NVIDIA, and Pfizer to track experiments, version models, and debug AI systems. Its free course catalog (at wandb.courses) teaches you to actually use these tools — and along the way, teaches core machine learning workflow skills.
The current lineup includes W&B 101 (8 lessons, about 15 minutes of video: a gentle intro to experiment tracking, visualization, and collaboration), Weights & Biases 101: Weave (a toolkit for developing generative AI apps — logging, debugging, and evaluating LLM workflows), W&B 201: Registry (a compact course on model management and registration), and Evaluating and Debugging Generative AI (a collaboration with DeepLearning.AI on systematically testing gen AI work). Each course is short, focused, and hands-on with real code.
Weights & Biases Courses pricing in 2026
| Plan | Price | What you get |
|---|---|---|
| All courses | $0 | Full access to the entire course catalog, including Weave and Registry courses |
| W&B platform (personal/academic use) | $0 | Free tier of the Weights & Biases platform — enough to follow along with every course |
The courses are entirely free, and the W&B platform itself has a free tier for personal and academic use, so you can follow every exercise without spending anything. Paid platform tiers (Pro from $60/month) exist for teams, but individual learners don’t need them.
What we like
- Completely free, no upsell. Every course in the catalog is free — there’s no paid tier hiding the good content.
- Official and practical. The instructors are W&B’s own engineers, the examples use the real platform, and everything is hands-on rather than theoretical.
- Short and focused. W&B 101 is 8 lessons and about 15 minutes of video — you can finish a course in an evening and immediately apply what you learned.
- Covers modern skills. The Weave course tackles LLM app evaluation and debugging — genuinely current, in-demand skills that most beginner courses don’t touch.
- A credential-adjacent brand. W&B is an industry standard (now part of CoreWeave); knowing it is a real, employable skill for ML engineering roles.
What could be better
- Assumes you can code. W&B 101 lists intermediate Python and basic ML concepts as prerequisites. If you’ve never written Python, start elsewhere.
- Vendor-specific. You’re learning W&B’s platform, not general ML theory. The skills transfer (experiment tracking is universal), but the courses won’t teach you what a neural network is.
- Niche, not broad. This is specialized MLOps training — experiment tracking, registries, evaluation. It’s a complement to a general AI education, not a replacement for one.
- No certificates mentioned. The courses are about skills, not credentials — plan on demonstrating what you learned in projects, not on a certificate.
Who are W&B Courses best for?
W&B Courses are best for technical beginners: students and junior developers who know some Python and basic machine learning concepts and want practical MLOps skills. They’re also excellent for data scientists and engineers who’ve heard of W&B and want to learn it properly, and for anyone curious about evaluating and debugging generative AI apps. They’re not for non-programmers or anyone looking for a general “what is AI” introduction.
The verdict
If you can write Python, Weights & Biases Courses are one of the highest-value free resources in AI education — official training from an industry-standard platform, in evening-sized chunks, on skills employers actually want. Just know your level: this is a second step (after Python and ML basics), not a first step.
Frequently asked questions
Are Weights & Biases courses really free?
Yes — every course in the wandb.courses catalog is listed as free, and the W&B platform has a free tier for personal and academic use, so all exercises cost nothing.
Do I need to know Python?
For most courses, yes. W&B 101 lists intermediate Python and basic ML concepts as prerequisites. These are technical courses, not general introductions to AI.
Is Weights & Biases free to use?
For personal and academic use, yes — the free tier is enough for every course exercise. Paid tiers are aimed at teams and companies.
Are these courses good for complete beginners?
They’re good for beginners to MLOps tooling, not beginners to AI or programming. If you’re new to coding, learn Python first, then come back.
Prices checked 2026-10-08 and can change — confirm on the platform’s site before buying.