9 Free AI Courses

 

The bottleneck in AI is not access to knowledge.

It never was.

Every major AI lab in the world is giving away world-class training for free.

Google. Meta. NVIDIA. Anthropic. Microsoft. IBM. AWS. DeepLearning.AI. Hugging Face.

Nine platforms. Zero dollars. No excuse.

Here they are:

1. Google: AI and ML fundamentals
grow.google/ai

2. Meta: LLMs, computer vision, research
ai.meta.com/resources

3. NVIDIA: Deep learning, GPU acceleration
https://lnkd.in/g_RgCxEq

4. Anthropic: Constitutional AI, safety, application
anthropic.skilljar.com

5. Microsoft: GenAI, ML on Azure
https://lnkd.in/gAWvm9Z3

6. IBM: AI, Watsonx, ML
skillsbuild.org

7. AWS: ML services, cloud AI
skillbuilder.aws

8. DeepLearning.AI: Neural networks, deep learning
deeplearning.ai

9. Hugging Face: NLP, transformers, model training
huggingface.co/learn

Now here is the part nobody says out loud.

I have sat in boardrooms where teams had completed every major AI certification available.

The initiatives still failed.

Not because they didn't understand the technology.

Because nobody connected what they learned to a real decision, a real system, or a real workflow inside their organization.

That gap has a name.

I call it the AI Execution Gap.

The distance between understanding AI and deploying it in a way that actually changes outcomes.

Courses get you to the first side.

The work of crossing to the other side looks like this:

→ Pick one course from this list this week
→ Identify one real problem inside your work it could apply to
→ Build something small. Test it. Adjust it.

Not a presentation about AI.

Not a summary of what you learned.

Something that runs.

That third step is the one most people never take.

It is also the only step that actually builds capability.

Knowledge is no longer the scarce resource.

Execution is.

💾 Save this list. You will come back to it.

Credit to Gabriel Millien. Follow him for more.

https://tinyurl.com/4xr3n3jr