Free AI courses from top tech companies including Anthropic, Google, Microsoft, and OpenAI

10 Free AI Courses From Top Tech Companies (Anthropic, Google, Microsoft, OpenAI & More)

September 7, 2026 Fawad Ali Khan Utmanzai

Learn artificial intelligence for free, straight from the source — no tuition, no gatekeeping, just real training from the companies building the technology.

Artificial intelligence has moved from a niche research topic to a core skill for almost every job — marketing, engineering, customer support, product management, and beyond. The good news is that you don’t need an expensive bootcamp or a university degree to get started. Many of the world’s leading AI companies have opened their internal training materials to the public, completely free of charge.

Below is a curated list of ten free AI learning platforms run directly by the companies shaping the industry, along with what each one is best for and who should start there.

Why Learn AI Directly From the Source?

Third-party AI courses are everywhere, but they often lag behind the pace of the industry or teach concepts in the abstract. Learning from the companies that build the models and tools has a few clear advantages:

Up-to-date content — these platforms are maintained by the same teams shipping the products, so lessons reflect current best practices.
No cost barrier — every resource on this list is free to access.
Direct relevance — you learn the exact tools, APIs, and frameworks used in real-world AI development.
Credibility — many of these courses offer certificates you can add to your resume or LinkedIn profile.

1. Anthropic — Applied AI & Claude Training

Link: anthropic.skilljar.com

Anthropic, the company behind the Claude AI models, offers free courses covering prompt engineering, building with the Claude API, and responsible AI development. This is an excellent starting point if you want to understand how modern large language models work and how to apply them to real business problems.

Best for: Developers and product teams who want hands-on experience with prompting and API integration.

2. Google — Grow with Google AI

Link: grow.google/ai

Google’s AI training hub brings together resources for beginners and professionals alike, including generative AI fundamentals, machine learning basics, and practical guides for using AI tools in daily work.

Best for: Complete beginners looking for a structured, easy-to-follow introduction to AI concepts.

3. Meta — AI Resources

Link: ai.meta.com/resources

Meta’s AI resource center includes documentation, research papers, and tutorials related to its open-source AI projects, including the Llama family of models. It’s a strong destination for anyone interested in open-source AI development.

Best for: Developers interested in open-source large language models and research-driven learning.

4. NVIDIA — CUDA & Deep Learning Training

Link: developer.nvidia.com/cuda

NVIDIA’s developer resources focus on the hardware and infrastructure side of AI — particularly CUDA programming, GPU acceleration, and deep learning fundamentals. This is more technical than most entries on this list but invaluable for anyone working on performance-critical AI systems.

Best for: Engineers and data scientists working on model training and GPU-accelerated computing.

5. Microsoft — Microsoft Learn

Link: learn.microsoft.com/en-us/training

Microsoft Learn offers structured learning paths covering Azure AI services, machine learning, and generative AI, complete with hands-on labs and official certifications. It’s one of the most comprehensive free training platforms available.

Best for: Learners who want certification-backed, structured learning paths tied to real cloud infrastructure.

6. OpenAI — OpenAI Academy

Link: academy.openai.com

OpenAI Academy provides tutorials and guides on using GPT models, building AI-powered applications, and understanding the fundamentals of generative AI. It’s designed for both technical and non-technical learners.

Best for: Anyone wanting a beginner-friendly introduction to generative AI and practical use cases.

7. IBM — SkillsBuild

Link: skillsbuild.org

IBM SkillsBuild is a free education platform offering courses in AI, cybersecurity, data science, and more — many of which include IBM-recognized digital credentials. It’s aimed at learners of all backgrounds, including those exploring a career change.

Best for: Career switchers and students looking for credential-backed courses at no cost.

8. AWS — Skill Builder

Link: skillbuilder.aws

AWS Skill Builder offers hundreds of free digital courses on cloud computing and AI/ML services, including foundational courses on machine learning with AWS tools like SageMaker.

Best for: Learners interested in deploying AI models in a cloud environment.

9. DeepLearning.AI

Link: deeplearning.ai

Founded by Andrew Ng, DeepLearning.AI offers some of the most respected free and low-cost short courses on machine learning, deep learning, and generative AI, often in collaboration with companies like OpenAI and Google.

Best for: Learners who want academically rigorous, well-structured AI education.

10. Hugging Face — Hugging Face Learn

Link: huggingface.co/learn

Hugging Face’s free courses cover natural language processing, transformers, and open-source machine learning tools. Its hands-on approach makes it a favorite among developers who want to build and fine-tune their own models.

Best for: Developers who want practical, code-first experience with open-source AI models.

How to Choose Where to Start

With ten strong options, it can be tempting to try to do them all at once. Instead, consider your goal:

Want to understand AI conceptually? Start with Google’s Grow with AI or OpenAI Academy.
Want to build applications? Start with Anthropic, Hugging Face, or DeepLearning.AI.
Want a certification for your resume? Start with Microsoft Learn, IBM SkillsBuild, or AWS Skill Builder.
Want to go deep on infrastructure? Start with NVIDIA’s developer resources.

Final Thoughts

The barrier to learning AI has never been lower. These ten platforms, run directly by the companies at the forefront of the industry, make it possible to build real, applicable AI skills without spending a dollar. Pick one that matches your current goal, work through it consistently, and you’ll have a meaningful head start over most of the market.

Which platform are you starting with? Bookmark this list and revisit it as you progress through your AI learning journey.