education

Best AI Courses

AI courses compared on learner ratings, independent reviews, price and certificates, by goal: understanding AI, using it at work or building it. Plus the free courses from AI companies and universities, what changed when Coursera ended free auditing, and whether AI certificates help you get hired.

Updated 9 November 2026

Quick answer: The best AI course for most people is AI For Everyone from DeepLearning.AI, taught by Andrew Ng on Coursera, because it is rated 4.8 from more than 53,000 learner reviews, with 2,638,163 enrolled, and takes 7 hours with no maths or coding. For a course that is free from the first lesson to the certificate, Elements of AI from the University of Helsinki and MinnaLearn is the better choice, because its Introduction to AI certificate is free of charge and the course awards 2 ECTS university credits. For using AI tools at work, Google AI Essentials is the pick, and for learning to build machine learning models, the Machine Learning Specialization is rated 4.9 from more than 39,000 reviews. The one caveat: Coursera replaced free auditing with a free preview of the first module in August 2025, so most Coursera AI courses, including AI For Everyone, are no longer free to finish without a subscription, a free trial or financial aid.

This page compares AI courses: structured courses that teach you what AI is, how to use AI tools well, or how to build AI systems. Three live pages sit next to it, and each does a different job:

• AI career paths maps the routes into AI work. A course is one input to a route; that page covers which routes work, and this page covers which courses to take.
• AI glossary defines the terms these courses use, from tokens to transformers, for readers who want a definition rather than a course.
• Best AI tutors and best AI study tools rank AI products that help you learn any subject. This page covers courses whose subject is AI itself.

Which one should you pick?

What changed: free AI courses are less free than they were

Coursera no longer lets you audit most courses for free. Coursera’s own blog says its new course preview lets “learners explore the first module of most courses for free” (Coursera). The change took effect in August 2025, and a DeepLearning.AI mentor confirmed on 13 August 2025 that its Coursera courses now offer a first-week preview with “no way around this” (DeepLearning.AI community forum).

Some guides still describe Coursera auditing as full free access, including Class Central’s guide to signing up for Coursera for free (Class Central), which no longer matches Coursera’s own description.

Three ways to finish a Coursera AI course without paying remain:

• Financial aid. Coursera offers financial aid on many courses, including AI For Everyone, whose page tells learners who cannot afford the fee to apply (Coursera).
• The free trial. Coursera Plus monthly comes with a 7-day free trial, and specialisations such as Google AI Essentials and the Machine Learning Specialization list a 7-day trial before their $49 monthly fee (Coursera Plus, Google AI Essentials). AI For Everyone is included in Coursera Plus, and at 7 hours it fits inside the 7-day trial.
• “Full Course, No Certificate”. Coursera’s FAQ says some courses still offer access to the materials without a certificate. Coursera does not list which courses keep this option.

Other “free” AI courses now charge for the certificate. DeepLearning.AI’s own short courses keep their videos free, but quizzes, labs and certificates require a Pro membership, which a DeepLearning.AI course page prices at $25 a month billed annually or $30 billed monthly (DeepLearning.AI, DeepLearning.AI help centre). Google AI Essentials “cannot be taken for free”, according to its Coursera FAQ.

The free courses that still include a free certificate are mostly from universities and AI companies: Elements of AI, Harvard’s CS50 AI, Anthropic Academy, OpenAI Academy, the Hugging Face AI Agents Course and Kaggle Learn. Each is covered below.

How we chose these courses

A course is picked only when there is more than one independent assessment of it from more than one kind of source, following the method on how we rank. For AI courses, the evidence available is:

• Learner ratings with volume. Coursera shows a star rating and review count from learners on every course page. Coursera is a marketplace, so these ratings come from learners rather than from the university or company that made the course. We treat them as user ratings.
• Expert and editorial reviews. Reviews by people who took the course, and editorial lists from tech publishers such as PCMag and TechTarget.
• Third-party rankings. Class Central’s list of the most popular online courses of all time, which ranks by enrolment.
• Community threads. Named discussions on Hacker News where practitioners recommend courses.

Four limits apply:

1. Coursera star ratings barely separate courses. The Coursera AI courses on this page sit between 4.6 and 4.9 stars, so review volume and enrolment tell courses apart better than the stars do.
2. Pooled reviews inflate multi-course programmes. Coursera shows specialisations and professional certificates with “reviews of courses in this program”, which adds up the reviews of each course inside. A five-course specialisation’s review count is therefore not comparable to a single course’s count.
3. No major tech publisher has published a hands-on, side-by-side test of AI courses. Lists from course sellers, affiliate sites and course platforms ranking their own courses do not count here.
4. Class Central earns affiliate commission. Class Central says it “stand[s] to earn a commission when someone clicks through to a course provider and upgrades to a paid offering”, while also saying a substantial portion of its catalogue has no affiliate deal (Class Central). Its most-popular list is ordered by enrolment, not by its own opinion.

The courses’ own enrolment figures and learner-outcome claims, such as Coursera’s statement that “91% of learners achieved a positive career outcome” (Coursera Plus), are the providers’ claims and did not count towards a ranking.

The best AI courses by goal

The best AI courses, reviewed

AI For Everyone: best AI course for most people

AI For Everyone is a 7-hour beginner course from DeepLearning.AI, taught by Andrew Ng, that explains what AI can and cannot do, how AI projects work and how companies adopt AI, without any maths or programming.

What it covers. The course has four modules, according to its Coursera page: What is AI? (about 2 hours), Building AI Projects (about 1 hour), Building AI In Your Company (about 2 hours) and AI and Society (about 2 hours). It is taught in English, with subtitles in 27 languages.

The evidence.

• Learner ratings: 4.8 from more than 53,000 reviews, with 2,638,163 learners enrolled (Coursera).
• Third-party ranking: AI For Everyone appears in Class Central’s list of the most popular online courses of all time, which ranks by enrolment (Class Central). Class Central earns affiliate commission on some listings.

The cost. The first module is free to preview. Full access and the certificate require Coursera’s paid Certificate experience, according to the course FAQ; Coursera does not show the price on the page. Financial aid is available.

The limits.

• No module on chatbots. None of the four module titles covers generative AI or chatbots such as ChatGPT. DeepLearning.AI teaches that in a separate course, Generative AI for Everyone, rated 4.8 from 5,337 reviews with 839,200 enrolled.
• Not free to finish. Readers who need a free certificate should take Elements of AI instead.

Why it is number one. AI For Everyone is the overall pick because it is rated 4.8 from more than 53,000 learner reviews, it needs no technical background, and it is short enough to finish in a week. Elements of AI is free, but it shows no learner rating, so its evidence is thinner.

Elements of AI: best free AI course with a free certificate

Elements of AI is a free online course from the University of Helsinki and MinnaLearn, in two parts: Introduction to AI, for non-technical learners, and Building AI, which recommends “basic Python programming skills”.

What you get for free.

• The course: both parts are free.
• The certificate: “The Introduction to AI course certificate is free of charge,” according to Elements of AI’s FAQ (Elements of AI). The Building AI certificate costs 50 euros, according to the same FAQ.
• University credit: Introduction to AI awards 2 ECTS credits, and Building AI awards 1 to 2 ECTS depending on the level completed. The credit transcript is free but limited to the Global, Finnish and Swedish versions and needs Finnish or EU eIDAS strong identification (Elements of AI).

The evidence.

• Expert review: Class Central’s in-depth review by Pat Bowden is generally positive, and criticises one-attempt assessments, unclear pass marks and a backlog in peer review (Class Central).
• Award: Elements of AI won MIT’s Inclusive Innovation Challenge in November 2019 (Wikipedia).
• Its own figures: Elements of AI says more than 2 million people have signed up from more than 170 countries (Elements of AI); the University of Helsinki reported 1 million participants in 26 languages in May 2023 (University of Helsinki).

The limits. Elements of AI shows no learner rating, so its evidence is thinner than the Coursera courses’. The certificate depends on peer review: you must review at least three other learners’ answers on each peer-graded exercise, and your own answers need at least two reviews, which “can take a while”, according to the FAQ.

Google AI Essentials: best for using AI tools at work

Google AI Essentials is a five-course beginner specialisation from Google on Coursera that teaches how to use generative AI tools for everyday work tasks, with a Google certificate at the end.

The cost. Google AI Essentials costs $49 a month in the US and Canada after a 7-day free trial, according to both Grow with Google and the Coursera page. Its Coursera FAQ says it “cannot be taken for free”. Financial aid is available.

The evidence.

• Learner ratings: 4.8 from 25,841 pooled reviews across its five courses, with 2,033,481 enrolled (Coursera). The first course alone, Introduction to AI, is rated 4.8 from 13,491 reviews (Coursera).
• Editorial: PCMag included Google AI Essentials in its May 2025 list of the best free online AI classes (PCMag via Yahoo Tech). The list carries PCMag’s standard affiliate disclosure.
• Independent reviews, mixed: Amanda Claypool at Productivity Stack called it “underwhelming”, too basic for its $49 price, and reported that the Gemini exercises did not work (Productivity Stack, 14 May 2025). Taylor Rupe at Hakia concluded it is worth it “for the right learner”, with no coding and limited depth (Hakia, 25 March 2026).

The length conflict. Grow with Google says the course takes “under 5 hours”; the Coursera page header says 4 hours, its module times add up to about 8 hours, and its description says “under 10 hours”.

The limits. Google AI Essentials teaches how to use generative AI tools at work, not how AI is built. Google now also sells a longer Google AI Professional Certificate at the same $49 a month (see “Other AI courses worth knowing” below).

Machine Learning Specialization: best for learning how machine learning works

The Machine Learning Specialization is a three-course programme from Stanford Online and DeepLearning.AI, taught by Andrew Ng with Eddy Shyu, Aarti Bagul and Geoff Ladwig, that teaches the foundations of machine learning in Python, starting with its first course, Supervised Machine Learning.

The evidence.

• Learner ratings: 4.9 from 39,403 pooled reviews, with 849,780 enrolled (Coursera).
• Community: Andrew Ng’s machine learning courses were the most-mentioned recommendation, tied with Russell and Norvig’s textbook, in the Hacker News thread “Ask HN: How to learn AI from first principles?” (26 January 2025, 145 points) (Hacker News).
• Third-party ranking: its first course, Supervised Machine Learning, appears in Class Central’s all-time most-popular list (Class Central).

The cost and time. The specialisation costs $49 a month on Coursera after a 7-day trial, or is included in Coursera Plus. Coursera’s page header estimates about two months at 10 hours a week; its FAQ says 5 hours a week over 10 weeks. It needs basic coding and high-school maths.

The limits. The specialisation teaches classical machine learning and the foundations of neural networks. It does not teach how to build applications on top of large language models; for that, see the Hugging Face LLM Course below.

Deep Learning Specialization: best next step for builders

The Deep Learning Specialization is a five-course intermediate programme from DeepLearning.AI, taught by Andrew Ng, Younes Bensouda Mourri and Kian Katanforoosh, that starts with its first course, Neural Networks and Deep Learning, and builds up to the main deep learning model types.

The evidence.

• Learner ratings: 4.8 from 147,270 pooled reviews, with 1,004,364 enrolled (Coursera).
• Editorial: TechTarget’s “Top 10 AI certifications and courses for 2026” by Andy Patrizio and Jim O’Donnell (9 September 2026) includes the Deep Learning Specialization (TechTarget). TechTarget does not publish a scoring method.
• Third-party ranking: its first course, Neural Networks and Deep Learning, appears in Class Central’s all-time most-popular list (Class Central).

The cost and time. Coursera estimates about three months at 10 hours a week. The page does not show a price; it is available through a Coursera subscription or Coursera Plus. It needs intermediate Python.

The limits. The page labels the specialisation “Recently updated”, but its FAQ documents only an April 2021 update to TensorFlow 2. Expect less on large language models than in a course built after 2023.

Other AI courses worth knowing (not ranked)

These courses are not ranked. Most are free. Each description comes from the course’s own page.

Free courses from AI companies

Courses from AI companies teach their own products. OpenAI Academy teaches ChatGPT and Codex, and Anthropic Academy teaches Claude. Both are useful for those tools, and neither is a neutral overview of AI.

Free university and open courses

CS50 AI and fast.ai both appear on independent lists and in practitioner discussions, and CS50 AI sits in Class Central’s all-time most-popular list. Neither shows a learner rating.

Free with a catch

Paid courses and programmes

A note on bootcamps. University-branded AI bootcamps run with partners such as Simplilearn cost thousands of dollars: the Caltech CTME AI and Machine Learning Bootcamp lists $8,000 for 24 weeks (Caltech CTME). Compare the syllabus against the free courses above before you pay.

Udemy sells thousands of individual AI courses, with an average rating of 4.4 across 1,845 ChatGPT courses on its topic page (Udemy). Coursera and Udemy completed their merger on 11 May 2026, and both companies said that day that learners’ access, subscriptions and pricing would not change and that the two sites would stay separate for now (Coursera, Udemy).

Pricing compared

The cheapest way to finish one Coursera AI programme is to plan it around the trial. A 7-day free trial followed by one or two months at $49 covers Google AI Essentials or the first course of the Machine Learning Specialization for most learners. Coursera Plus annual, at $399, works out cheaper than about eight months of a $49 single-programme subscription.

Do AI courses and certificates help you get a job?

AI skills pay; AI course certificates, on their own, show small effects. The independent evidence points in two directions.

Employers pay for AI skills.

• PwC’s 2026 AI Jobs Barometer found a 62% wage premium for jobs requiring AI skills, from 1 billion job ads across 27 countries, and postings requiring AI skills grew 69% against 9% for all jobs (PwC, 15 June 2026).
• Lightcast found that job postings listing AI skills pay 28% more, about $18,000 a year, and that 51% of those postings are outside IT and computer science (Lightcast, 23 July 2025).

Certificates on their own move the needle a little.

• A randomised trial of more than 800,000 Coursera certificate earners in developing countries by Susan Athey and Emil Palikot found that prompting learners to share their certificate on LinkedIn raised new employment by 1.0 percentage point, about 6%, with the largest gains for the learners who started least employable (arXiv). The study ran on Coursera’s platform and measures the effect of displaying a certificate, not of the learning.
• Skills-based hiring is rarer than it sounds. Harvard Business School and the Burning Glass Institute found that removing degree requirements changed hiring in “not even 1 in 700 hires” (Harvard Kennedy School, February 2024).

Most people who start a free course do not finish it. Justin Reich and José Ruipérez-Valiente’s study of 12.67 million registrations on MIT and Harvard edX courses, published in Science in 2019, found that completion among participants fell from 5.91% in 2014–15 to 3.13% in 2017–18, while 46% of learners who paid for a verified certificate completed in 2017–18 (Science). Paid learners finished more than ten times as often as participants overall.

What this means for choosing a course. Pick a course for the skill, not for the certificate. A finished project you can show beats a certificate, and AI career paths covers which routes into AI work the hiring data supports. Formal vendor certifications are a separate question: Microsoft retired its AI-900 Azure AI Fundamentals exam on 30 June 2026 and replaced it with AI-901 (Microsoft Learn).

Best AI course for each goal

• Best AI course for most people: AI For Everyone, because it is rated 4.8 from more than 53,000 learner reviews and needs no technical background.
• Best free AI course: Elements of AI, because both parts are free, the Introduction to AI certificate is free and it awards 2 ECTS credits.
• Best AI course for using AI at work: Google AI Essentials, a Google course for using generative AI at work, rated 4.8 from 25,841 pooled reviews.
• Best AI course for understanding generative AI without code: Generative AI for Everyone (not ranked separately), the DeepLearning.AI follow-on to AI For Everyone, rated 4.8 from 5,337 reviews.
• Best AI course for learning machine learning: Machine Learning Specialization, rated 4.9 from 39,403 pooled reviews and the most-mentioned course in a Hacker News thread on learning AI from first principles.
• Best AI course for deep learning: Deep Learning Specialization, rated 4.8 from 147,270 pooled reviews.
• Best free AI course for programmers: CS50 AI (not ranked), because it is free from start to certificate and taught by Harvard, but it needs a year of Python.
• Best free course for using ChatGPT or Claude specifically: OpenAI Academy or Anthropic Academy (not ranked), because each is free and taught by the company that makes the tool.

How to get the most from an AI course

1. Start with one non-technical course, then decide. A 7-hour course such as AI For Everyone tells you whether you want to use AI or build it, before you commit to a three-month specialisation.
2. Use an AI assistant alongside the course. Practise each lesson in a tool such as ChatGPT, Claude or Gemini; most free tiers are enough for course exercises.
3. Set a deadline or pay for it. Completion on free courses is in single digits, according to the Science study above.
4. Build one thing. Finish with a small project in your own job or field. For coding projects, see best AI for coding; for the vocabulary, keep the AI glossary open.
5. Check the course’s date. AI changes faster than course material. A course whose last update predates 2023 will not cover chatbots, agents or modern prompting. The agentic AI guide covers one of the biggest changes since then.

Frequently asked questions

What is the best free AI course?

The best completely free AI course is Elements of AI from the University of Helsinki and MinnaLearn, because both parts of the course are free, its Introduction to AI certificate is free of charge and it awards 2 ECTS university credits. The most-rated beginner AI course overall is AI For Everyone from DeepLearning.AI, rated 4.8 from more than 53,000 reviews on Coursera, but since August 2025 only its first module is free to preview without a trial, subscription or financial aid.

What is the best AI course for beginners?

AI For Everyone from DeepLearning.AI, taught by Andrew Ng on Coursera, is the best AI course for beginners, because it takes 7 hours, needs no maths or coding, and has a 4.8 rating from more than 53,000 learner reviews with 2,638,163 enrolled. Its four modules do not cover chatbots, so beginners who want generative AI should add DeepLearning.AI’s Generative AI for Everyone.

Are there free AI courses with a certificate?

Yes. Elements of AI gives a free certificate for its Introduction to AI course, Harvard’s CS50 AI gives a free CS50 certificate to learners who score at least 70% on every project, Anthropic Academy and OpenAI Academy give free completion certificates or badges, the Hugging Face AI Agents Course includes free certificates, and Kaggle Learn courses such as Intro to Machine Learning include a free certificate. OpenAI says its Academy badges are not certifications.

Can you still audit Coursera courses for free?

Mostly no. Coursera replaced free auditing with a free preview of “the first module of most courses” in August 2025. To finish a Coursera AI course without paying, apply for financial aid, use a 7-day free trial where one is offered, or check whether the course still offers Coursera’s “Full Course, No Certificate” option, which Coursera says some courses keep.

Is Google AI Essentials free?

No. Google AI Essentials costs $49 a month in the US and Canada after a 7-day free trial, and its Coursera FAQ says it “cannot be taken for free”. Financial aid is available on Coursera. Google says the course takes under 5 hours, while Coursera’s own estimates range from 4 hours to under 10.

Is Google AI Essentials worth it?

Google AI Essentials is worth it for complete beginners who want a Google certificate for workplace AI use, and not for anyone who already uses AI tools daily. It is rated 4.8 from 25,841 pooled reviews on Coursera, but independent reviewers called it “underwhelming” and basic (Productivity Stack, May 2025) or worth it only “for the right learner” (Hakia, March 2026).

Which AI course is best for learning machine learning?

The Machine Learning Specialization from Stanford Online and DeepLearning.AI is the best course for learning machine learning, because it is rated 4.9 from 39,403 pooled reviews on Coursera and was the most-recommended course in a January 2025 Hacker News thread on learning AI from first principles. It needs basic coding and high-school maths and takes about two months at 10 hours a week.

What is the best AI course for programmers?

For programmers, the Machine Learning Specialization is the best-evidenced paid course, and Harvard’s CS50 AI is the strongest free option, with a free certificate for learners who score at least 70% on every project. Programmers who want to build with large language models should look at the free Hugging Face LLM Course and Andrej Karpathy’s Neural Networks: Zero to Hero, neither of which is ranked yet.

Do AI certificates help you get a job?

AI certificates help a little; AI skills help more. A randomised trial of more than 800,000 Coursera certificate earners in developing countries found that prompting them to share their certificate on LinkedIn raised new employment by 1.0 percentage point, about 6%, while PwC’s 2026 AI Jobs Barometer found a 62% wage premium for jobs requiring AI skills.

How long does it take to learn AI?

A non-technical introduction to AI takes about 7 hours with AI For Everyone, or about six weeks at your own pace with Elements of AI. Learning to build machine learning models takes about two months at 10 hours a week with the Machine Learning Specialization, and the Deep Learning Specialization adds about three months at 10 hours a week.

Are OpenAI and Anthropic’s AI courses free?

Yes. OpenAI Academy’s 14 self-paced courses are free with a ChatGPT account, and Anthropic Academy’s courses, including Claude 101 and AI Fluency, are free with a certificate of completion. Both teach their own company’s products, so they are best for learning ChatGPT or Claude specifically rather than as a neutral introduction to AI.

Is Coursera Plus worth it for AI courses?

Coursera Plus is worth it if you plan to take more than one paid AI programme. It costs $59 a month or $399 a year and covers more than 10,000 courses, while a single specialisation such as Google AI Essentials costs $49 a month, so the annual plan works out cheaper than about eight months of one $49 subscription.