Learning & Development9 Jun 2026· 5 min read

Top 9 Free Courses to Learn AI in 2026

The fastest way to scale your AI skills for free. Nine expert-led courses from Microsoft, Amazon, Google, Harvard, IBM, and more.

Carl Grant

Carl Grant

BrightMind Studio

It's easy to get lost in all the technology. The AI landscape moves fast, and there's an overwhelming amount of content competing for your attention.

These nine courses will help show you what's valuable. Each one offers a unique viewpoint on how to adopt, scale, and lead with AI. And they're all free.

Why take a structured AI course?

  • Cut through the noise, learn only what's relevant to your role
  • Gain hands-on experience building real AI projects
  • Understand the ethics and practical limits of AI tools
  • Get certified by industry leaders (Microsoft, Google, Amazon)
  • Build the confidence to implement AI in your business

The 9 courses I recommend

1. Microsoft, Career Essentials in Generative AI

  • Develop an understanding of generative AI models
  • Learn the ethical considerations of using generative AI
  • Explore the impact of generative AI tools
Start the Microsoft course

2. Amazon, Generative AI Learning Plan

  • Duration: 11 hours, 5 comprehensive courses
  • Introduction to Generative AI
  • Planning a Generative AI Project
  • Amazon Bedrock Getting Started
  • Foundations of Prompt Engineering
  • Building Generative AI Applications
Start the Amazon learning plan

3. Google, Introduction to Generative AI

  • Introduction to Generative AI
  • Introduction to Large Language Models
  • Introduction to Responsible AI
Start the Google course

4. Harvard, Introduction to AI with Python

  • Learn AI basics for real-world tech
  • Build projects with Python and machine learning
  • Design intelligent systems from scratch
Start the Harvard course

5. IBM, AI for Everyone: Master the Basics

  • Understand AI and its real impact on business
  • Learn machine learning, deep learning, and neural networks
  • Get career advice directly from AI experts
Start the IBM course

6. Linux Foundation, Data and AI Fundamentals

  • Differentiate various kinds of AI technologies
  • Enumerate typical AI use cases across industries
  • Identify potential AI career opportunities for you
Start the Linux Foundation course

7. Google, Machine Learning and AI

  • Gain hands-on ML experience with Google Cloud
  • Learn to build and optimize ML systems in production
  • Master productionizing and maintaining models
Start the Google ML course

8. DeepLearning.AI, ChatGPT Prompt Engineering for Developers

  • Master prompt engineering for building AI apps
  • Build custom chatbots with large language models
  • Practice real prompts using the OpenAI API
Start the prompt engineering course

9. Microsoft, Artificial Intelligence for Beginners

  • 12-week, 24-lesson curriculum (work at your own pace)
  • Covers Symbolic AI, Neural Networks, Computer Vision, NLP, and more
  • Hands-on lessons, quizzes, and labs included
Start the AI for beginners course

How to get the most from these courses

Pick one course that matches your role or interest. Don't try to do all nine at once. Work through it, take notes, and most importantly, build something with what you learn.

The courses that stick are the ones where you actually apply the knowledge. A prompt you write yourself teaches you more than a lecture ever will.

The fastest way to learn AI isn't to consume more content. It's to build with it, break it, and learn from what actually works in your business.

Pick a course. Start this week. The AI skills gap is real, and it's widening. These courses are free. Your time is the only thing you're spending.

Put this into practice

Try the BrightMind Prompt Generator, built on the same frameworks covered in The Brief.

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