You Don’t Need a Paid AI Subscription to Start Learning AI

One thing surprises me every time I talk to developers who want to learn AI. Many assume they need ChatGPT Plus, Claude Pro, or an expensive GPU before they can build anything useful. That’s not quite true.

If your goal is to understand how LLMs work, experiment with prompts, build small AI tools, or connect an editor like VS Code to a model, you can do all of that for free.

You just need to combine a few services.

Google Colab and Kaggle give you access to free cloud GPUs, so you can run open models with Ollama without buying powerful hardware. If you don’t want to manage notebooks or GPUs, hosted APIs like NVIDIA NIM and OpenRouter let you call modern language models directly from your applications.

Once you have a model running, you can connect it to tools like Zoo Code and start using AI inside VS Code for explaining code, generating functions, or experimenting with small projects.

Of course, free tiers come with limits. Sessions expire, GPUs aren’t always available, and API providers enforce request quotas. Still, they’re more than enough to learn the fundamentals before deciding if a paid service makes sense.

That’s exactly how I’d recommend getting started.

I recently put together a complete beginner-friendly guide that walks through:

• Running Ollama on free Google Colab and Kaggle GPUs

• Creating a remote endpoint for your model

• Using free APIs from NVIDIA NIM and OpenRouter

• Connecting everything to Zoo Code in VS Code

• Choosing the right option for different use cases

If you’d like the full walkthrough with setup instructions, screenshots, and example notebooks, you can read it here for free:

→ Learn AI for Free in 2026: Kaggle, Colab GPUs, and Free LLM APIs