The hard part is knowing which AI certificates are genuinely free and which are paid, because most lists blur the two. Sort them that way and the choice gets simple. Everything below was checked on the provider's own page as of 12 September 2026, and each one links straight to the source so you can confirm before you start.
To get an AI certification that helps your career, start with a free one that matches your level: Elements of AI for the basics with no maths, Anthropic's AI Fluency for working with AI well, or the Microsoft and LinkedIn generative-AI path. Finish the course, download the certificate, and add it to your CV and LinkedIn alongside one real thing you did with AI.
How to read this list
Every entry carries one of three labels, so you know before you click:
- Free. The course and the certificate are both free. Start here.
- Paid. The certificate costs money, or it is a paid exam. A few let you learn or audit for free first, which is noted on the card. Go in knowing the price.
Prices and free tiers move, so the official page is the final word. Where a date matters, it is noted.
Free, start here
1. Elements of AI, Introduction to AI
University of Helsinki and MinnaLearn
FreeWhat it is: a plain-English course on what AI is, what it can and cannot do, with no maths and no coding. It has been taken by more than two million people across 170-plus countries, and it carries a real university name, which is why it reads well on a CV.
Who it is for: the absolute beginner who wants to understand AI without touching code.
2. AI Fluency, Framework and Foundations
Anthropic, the makers of Claude
FreeWhat it is: a short course on how to work with AI well, built around a four-part framework the makers of Claude call Delegation, Description, Discernment and Diligence. It teaches judgement, the part most courses skip.
Who it is for: anyone who uses AI already and wants to use it properly.
3. Career Essentials in Generative AI
Microsoft and LinkedIn Learning
FreeWhat it is: a short learning path covering the core ideas of generative AI, Copilot, and the ethics of using it, from two names a hiring manager will recognise.
Who it is for: a beginner who wants a recognisable badge on LinkedIn quickly.
4. Introduction to Generative AI
Google, on Google Skills
FreeWhat it is: a 45-minute introduction to what generative AI is and how it differs from older machine learning, ending in a free skill badge from Google.
Who it is for: anyone who wants the shortest credible starting point.
5. Artificial Intelligence Fundamentals
IBM SkillsBuild
FreeWhat it is: a broader beginner course covering natural language, computer vision, machine learning and AI ethics, with a hands-on run in IBM's own tools, ending in a free digital badge.
Who it is for: a beginner who wants a bit more depth and an IBM name on the badge.
6. AI for Marketing
HubSpot Academy
FreeWhat it is: a practical course on using AI in marketing work, prompting, AI content, predictive analytics and where the ethics sit, with a free certificate at the end.
Who it is for: career-switchers and marketers who want something they can use on Monday.
7. Intro to Machine Learning
Kaggle, owned by Google
FreeWhat it is: a short, hands-on course that builds your first models, decision trees and random forests, and shows you how to check they work. It gives a free completion certificate.
Who it is for: the good next step once the basics click, and anyone happy to touch a little Python.
8. Machine Learning with Python
freeCodeCamp
FreeWhat it is: a full, free certification that teaches real machine learning with TensorFlow, neural networks and natural language, built around five projects you have to complete.
Who it is for: someone who wants to actually build, and is ready for a serious time commitment. This one is technical.
Paid
These cost money, whether it is the certificate at the end or a full exam. A few let you learn or audit for free first, noted on the card. Prices move, so the official page is the final word.
9. AI For Everyone
DeepLearning.AI, taught by Andrew Ng, on Coursera
PaidWhat it is: a non-technical course on what AI can realistically do for a business and a career, from one of the most recognised names in the field.
Who it is for: anyone who wants the big picture from a trusted teacher.
10. CS50's Introduction to AI with Python
Harvard University
PaidWhat it is: Harvard's own AI course, covering search, knowledge, machine learning and neural networks in Python. Prestigious, and free to learn through Harvard's open courseware.
Who it is for: someone with some Python already who wants a serious, named credential. Not a first course.
11. IBM Generative AI Engineering Professional Certificate
IBM, on Coursera
PaidWhat it is: IBM's 16-course series on building with generative AI in Python, covering prompt engineering, large language models, Hugging Face, PyTorch, RAG and LangChain. A serious, build-focused programme with a recognised IBM name.
Who it is for: someone who wants to actually build LLM apps and earn a full professional certificate, and has real time to give it.
12. Google AI Essentials
Google, Grow with Google, on Coursera
PaidWhat it is: a short beginner course on using AI at work with Gemini, prompting and everyday productivity, from a name everyone knows.
Who it is for: beginners who want a Google-branded credential and are happy to pay for it.
13. AWS Certified AI Practitioner
Amazon Web Services
PaidWhat it is: a real proctored foundational exam on AI, machine learning and generative AI with AWS. A recognised badge for people using AI in a cloud job rather than building the models.
Who it is for: people already working around AWS, not absolute beginners.
14. Claude Certified Architect, Foundations
Anthropic, the makers of Claude
PaidWhat it is: one of four exams in Anthropic's Claude Certification Program. This one validates that you can design and build Claude solutions, covering agentic architecture, Claude Code, tool and MCP integration, and prompt and context management. It is a real proctored exam, sat through Pearson VUE.
Who it is for: people building on Claude professionally who want the credential to prove it.
15. GitHub Foundations
GitHub
PaidWhat it is: GitHub's foundational exam on the basics of Git and GitHub, collaboration, repositories, branching and workflows. Useful the moment your work touches code or version control, even lightly.
Who it is for: anyone moving into a role that uses GitHub, and students especially.
What to skip
- Third-party "ChatGPT certified expert" badges that are not issued by OpenAI. Easy to collect, barely recognised.
- Retired exams sold as current. Microsoft's AI-900 and AI-102 were retired in mid-2026, so check the exam code is the live one before you book anything.
- Five completion badges with nothing built. One certificate plus one real project beats a pile of certificates on their own.
- Any "get hired fast" or salary-uplift promise pinned to a certificate. Treat those as marketing, because the honest evidence is far more modest.
The honest bit: real signal or wallpaper
Be clear-eyed about what a certificate buys you. A 2026 hiring study by Fabian Stephany, Ole Teutloff and Angelo Leone (arXiv:2601.13286), which tested 1,725 recruiters across the UK, US and Germany, found that showing AI skills on a CV raised the chance of an interview invitation by roughly 8 to 15 percentage points, while a formal AI credential added only a moderate lift on top of simply having the skills. The skill counts for more than the badge.
So read each one for what it is. A proctored vendor exam that matches your employer's stack, AWS, Azure, Google Cloud or Claude, is a real signal and can clear an HR keyword filter. A completion badge from a course you audited is closer to wallpaper: good for structured learning, thin as proof on its own. What gets you hired is work you can point to and the ability to use AI on a real task in front of someone.
Start the free one tonight
Do not fit out a whole study plan. Open Elements of AI, do the first section, and you have started the one most likely to read well on your CV for exactly nothing. And if your CV itself needs work once the certificate lands, tailor your CV to the job so the new credential actually shows.
A few quick questions
Are these AI certifications really free?
Some are fully free, the course and the certificate. The rest are paid: either the certificate costs money or it is a paid exam, though a few let you learn or audit for free first. This guide labels each one Free or Paid, because most lists blur that and you find out at the checkout. As of September 2026, the free ones are Elements of AI, Anthropic AI Fluency, the Microsoft and LinkedIn path, Google's Introduction to Generative AI, IBM SkillsBuild, HubSpot AI for Marketing, Kaggle and freeCodeCamp. The paid ones are AI For Everyone, Harvard's CS50, IBM's Generative AI Engineering, Google AI Essentials, the AWS AI Practitioner, the Claude Certified Architect exam and GitHub Foundations, though GitHub Foundations is free for verified students.
Which one should a complete beginner start with?
Elements of AI. It is free, needs no maths or coding, comes from the University of Helsinki, and gives you a real certificate you can add to LinkedIn. Anthropic's AI Fluency is a strong second, focused on how to work with AI well day to day.
Will an AI certificate get me a job?
On its own, no. A certificate shows you put in the time and gives you the vocabulary to talk about AI in an interview and on a CV. What moves the needle is using it, so pair the certificate with one real thing you built or improved with AI and say that in plain words.