18 Free AI Courses from Anthropic, OpenAI, Google & More (2026)
18 Free AI Courses from Anthropic, OpenAI, Google & More (2026)
18 Free AI Courses from Anthropic, OpenAI, Google & More (2026)
18 Free AI Courses From Anthropic, OpenAI, Google, Microsoft, NVIDIA & IBM
Six of the world’s biggest AI companies have opened up their best training material to everyone, completely free. No degree is needed. No application process. No hidden payment.
This is a rare chance to learn AI directly from the companies that are actually building it, instead of watching random videos and hoping the information is accurate.
Most people spend hours scrolling through scattered AI content online. The smartest learners skip that and go straight to the source: the official courses published by Anthropic, OpenAI, Google, Microsoft, NVIDIA, and IBM.
Below is the complete list of all 18 free courses, organized by company, with direct links.
Why Learn AI From the Companies Building It
There is a big difference between watching a random creator explain AI and learning from the company that actually built the model. Official courses are:
- Written and reviewed by the same teams that build the AI tools
- Updated as the technology changes
- Free to access, with no paywall or trial period
- Structured as proper learning paths, not scattered tutorials
If you want a real skill advantage in 2026, these are the resources worth your time.
Anthropic — Learn Claude and AI Fluency
Anthropic, the company behind Claude, offers three courses covering both the basics of AI and hands-on coding with Claude.
- Claude 101 → https://lnkd.in/deVne-us
- AI Fluency: Framework & Foundations → https://lnkd.in/esk4uSK4
- Claude Code 101 → https://lnkd.in/dgBbuPe2
OpenAI — Foundations and Workplace Use
OpenAI’s courses focus on practical, everyday use of ChatGPT, along with resources built specifically for educators.
- AI Foundations → academy.openai.com
- ChatGPT at Work → https://lnkd.in/eRjdSGbh
- Professors Teaching with OpenAI → https://lnkd.in/eRjdSGbh
Google — AI Essentials and Generative AI Path
Google offers a well-known beginner course along with a full generative AI learning path for those who want to go deeper.
- Google AI Essentials → grow.google/ai-essentials
- Introduction to Generative AI → https://lnkd.in/eiUaDHQZ
- Generative AI Learning Path → https://lnkd.in/eAW3tif8
Microsoft — Generative AI and Azure Certification
Microsoft’s lineup is ideal for people who want to move toward an actual certification, alongside beginner-friendly generative AI training.
- Generative AI for Beginners → https://lnkd.in/ejuqDHKp
- Azure AI Fundamentals (AI-900) → https://lnkd.in/eZAeYiQU
- AI Skills Navigator → https://lnkd.in/eT-VTdTc
NVIDIA — Generative and Agentic AI
NVIDIA’s free courses are a great fit for anyone interested in the more technical side of AI, including deep learning fundamentals.
- Generative AI Explained → https://lnkd.in/eTYqqvYW
- Agentic AI (2026) → https://lnkd.in/eTYqqvYW
- Fundamentals of Deep Learning → https://lnkd.in/eTYqqvYW
IBM — AI Foundations to Full Certification
IBM’s path goes the furthest, starting with basic AI literacy and ending with a full professional certificate in AI engineering.
- AI Foundations → skillsbuild.org
- Generative AI: Introduction & Applications → https://lnkd.in/eA7Jy_5w
- AI Engineering Professional Certificate → https://lnkd.in/ew63G-xr
How to Choose the Right Course for You
With 18 options available, here’s a simple way to decide where to start:
- Complete beginner? Start with Google AI Essentials or IBM AI Foundations.
- Want to use AI at work right away? Try ChatGPT at Work or Claude 101.
- Interested in coding with AI? Go with Claude Code 101.
- Want an official certificate? Aim for Azure AI Fundamentals (AI-900) or the IBM AI Engineering Professional Certificate.
- Curious about the technical side? Explore NVIDIA’s Deep Learning and Agentic AI courses.
You don’t need to complete all 18. Pick one or two that match your goals and finish those first.
Conclusion
The AI industry is moving faster than almost any technology before it, and the gap between people who understand AI and people who don’t is only going to widen. The good news is that six of the biggest names in AI — Anthropic, OpenAI, Google, Microsoft, NVIDIA, and IBM — have made their core training completely free and open to anyone. There’s no excuse left to keep learning AI from unverified sources when the original creators are teaching it themselves at no cost. The smartest move right now isn’t to consume more random AI content; it’s to pick two or three of these official courses, actually finish them, and build real, usable skills. Save this list, come back to it, and share it with anyone in your circle who’s serious about learning AI the right way in 2026.
Yes. All 18 courses listed from Anthropic, OpenAI, Google, Microsoft, NVIDIA, and IBM are free to access. There is no payment, subscription, or hidden fee required to start learning.
No degree or application process is required for any of these courses. They are designed to be accessible to complete beginners as well as people with some technical background, depending on which course you choose.
Beginners should start with Google AI Essentials or IBM AI Foundations, since both are designed as entry-level introductions to AI concepts without requiring any coding or technical background.
Yes. Courses like Microsoft's Azure AI Fundamentals (AI-900) and IBM's AI Engineering Professional Certificate lead to recognized certifications, while others like Claude 101 and Google AI Essentials focus on skill-building without a formal certificate.
What You Will Master.
- AI Fundamentals & Prompt Engineering
- Automation Tools & No-Code Systems
- AI for Business & Marketing
- Real-World Project Building
- Freelancing & Career Strategy
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