5 FREE AI Courses to Level Up Your Skills
Level up your AI and ML skills with these free courses.
Whether you’re a developer, creative, career-switcher, or just trying to stay employable in 2026 and beyond, AI literacy is no longer optional. The good news? You don’t need a computer science degree, and you definitely don’t need thousands of dollars to get started.
These are 5 high-quality, FREE AI courses you can take right now — many with certifications you can add straight to your LinkedIn.
Let’s get into it 👇🏽
1. AI For Everyone – DeepLearning.AI
Instructor: Andrew Ng Best for: Absolute beginners, non-technical folks, and career switchers
If AI feels confusing or intimidating, start here. This is hands-down one of the best introductions to AI without touching a single line of code.
Andrew Ng breaks down:
- What AI actually is (and isn’t)
- How AI is used in real companies
- How to think about AI strategically at work
This course is perfect if you want to understand AI well enough to talk about it confidently — in meetings, interviews, or content.
🔗 Take the course: https://www.coursera.org/learn/ai-for-everyone
2. AI and Career Empowerment – University of Maryland
Best for: Professionals, job seekers, career advancers
This one is all about career leverage.
Instead of teaching AI theory, it focuses on:
- How AI is changing jobs right now
- How to position yourself for AI-adjacent roles
- How to use AI tools to increase your value at work
If you’re thinking, “I don’t want to be replaced — I want to be promoted”, this course is for you.
🔗 Take the course: https://www.rhsmith.umd.edu/programs/executive-education/learning-opportunities-individuals/free-online-certificate-artificial-intelligence-and-career-empowerment
3. Elements of AI – University of Helsinki & Reaktor
Best for: General AI literacy, ethics, big-picture thinkers
This is one of the most popular AI courses in the world — and for good reason.
It’s beautifully designed, beginner-friendly, and explains:
- Core AI concepts
- How machine learning works (without math overload)
- Ethical and societal implications of AI
This course helps you understand the system, not just the tools.
🔗 Take the course: https://www.elementsofai.com/
4. Introduction to Generative AI – Google Cloud
Best for: Understanding ChatGPT, Gemini, and GenAI tools
If you’ve ever used ChatGPT and thought, “Okay… but how does this actually work?” this course answers that.
You’ll learn:
- What Generative AI is
- How large language models differ from traditional ML
- Where GenAI is used in real products
It’s short, practical, and perfect for anyone using AI tools at work.
🔗 Take the course: https://www.cloudskillsboost.google/course_templates/536
5. AI for All: From Basics to GenAI Practice – NVIDIA
Best for: Hands-on learners who want the full picture
NVIDIA is at the center of the AI hardware world, and this course reflects that.
You’ll go from:
- AI fundamentals → to
- Practical Generative AI use cases
It’s fast-paced and gives you a strong overview of where AI is headed, not just where it’s been.
🔗 Take the course: https://academy.nvidia.com/en/course/ai-for-all-from-basics-to-genai-practice/?cm=81220
Why You Should Start Now
The barrier to entry for AI has never been lower — but the expectation to understand it has never been higher.
These courses:
- Are FREE
- Offer certifications you can add to LinkedIn
- Signal to employers that you’re proactive, adaptable, and future-ready
And trust me — future-you will be very grateful you didn’t wait.
Happy learning!
Kedasha 😊
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Written by
Kedasha Kerr
Software Developer
in Chicago