Google AI Course Free or Coursera AI Course? Google, Microsoft, IBM and More Compared (2026)

Searching for a Google AI course free of charge, or wondering whether a Coursera AI course is still worth it after Coursera changed its rules? You are not alone. Google, Coursera, Microsoft, IBM, AWS, OpenAI and top universities all publish AI courses, but each one defines "free" differently.

Quick Answer: Google's beginner generative AI courses on Google Skills are free and earn badges, while Google AI Essentials on Coursera is paid after a 7-day trial. Coursera now previews only the first module of most courses free, with financial aid available. Microsoft Learn is free, but the AI-901 exam is paid. IBM SkillsBuild AI Fundamentals is fully free, including its digital credential.

This guide compares the big platforms, explains what is free on each in October 2026, and shows how to combine them into one learning path. If you want a wider list that includes smaller providers, see our pillar guide to the best free AI courses online.

Key Facts

• Google Skills replaced Google Cloud Skills Boost in October 2025, and its intro generative AI courses still earn free badges.
• Coursera ended free audit on 8 August 2025; most courses now offer only the first module free.
• Microsoft retired exam AI-900 on 30 June 2026; Azure AI Fundamentals now uses exam AI-901.
• IBM SkillsBuild Artificial Intelligence Fundamentals is free, including its digital credential.
• NPTEL courses from IIT faculty are free to learn; the certificate exam costs Rs 1,000.
• Free Udemy courses do not include a certificate of completion.

Free AI Courses Compared: The Master Table

"Free to learn" means you can study the core material without paying; "free certificate" means the credential costs nothing too.

Details were checked against provider pages in October 2026; confirm on the official page before you enrol.

Google AI Course Free Options: What Google Actually Offers

Looking for a Google AI course free of cost? Google runs three separate tracks: free badge courses on Google Skills, paid certificates on Coursera, and a free technical course for developers.

Google Skills: free AI courses by Google with badges

In October 2025, Google launched Google Skills, a single platform that replaced Google Cloud Skills Boost. It combines content from Google Cloud, Google DeepMind and Grow with Google, with nearly 3,000 courses and labs. Old Cloud Skills Boost links now redirect to Google Skills. Google also lets users request 150 free learning credits, and Google Cloud customers keep free access to the full Google Cloud library.

The best starting point is the beginner path built around Introduction to Generative AI. These free AI courses by Google are short, need no coding, and each one earns a badge:

When Google introduced the Generative AI Fundamentals skill badge, it bundled the first three courses (Introduction to Generative AI, Introduction to Large Language Models and Introduction to Responsible AI) at no cost. Prompt design is not part of that badge.

Note the name change. After Vertex AI was expanded into the Gemini Enterprise Agent Platform in April 2026, the course once called Prompt Design in Vertex AI now appears as Prompt Design in Agent Platform. It covers prompt engineering, image analysis and multimodal techniques with Gemini, contributes to a skill badge, and Google says a challenge lab is a faster route to that badge. The labs use the Google Cloud console but involve little coding.

If you want a Google artificial intelligence course online free with certificate, this path is the closest match. You earn digital badges rather than formal certificates, but they are verifiable and easy to add to LinkedIn. Check whether a lab uses credits before starting it.

Google AI Essentials and Prompting Essentials on Coursera

Google AI Essentials is Google's paid beginner programme on Coursera. It is now a five-course Specialization for beginners, with modules covering Introduction to AI, Maximize Productivity With AI Tools, Discover the Art of Prompting, Use AI Responsibly and Stay Ahead of the AI Curve. Coursera describes it as taking under 10 hours. It needs no coding and ends with a shareable Google certificate.

The cost is USD 49 per month after a 7-day free trial in the US and Canada, and Coursera says prices vary by country. The course FAQ states it cannot be taken free after the trial, though financial aid is available. Google Prompting Essentials, four short courses on writing better prompts, follows the same trial and pricing model.

Coursera does not publish an India price on these course pages. Its region-aligned India pricing, announced in September 2025, says Professional Certificates and Specializations start at Rs 1,699 per month, so expect a figure in that range at checkout.

Machine Learning Crash Course: Google's free technical option

The Machine Learning Crash Course (MLCC) on Google for Developers is a free, refreshed course for people who want to understand how machine learning really works. Modules cover regression and classification, working with data, neural networks, embeddings, an introduction to LLMs, production ML and fairness.

Google's own module estimates add up to roughly 13.5 hours of content. You will need basic Python and school-level algebra and statistics; Google says calculus is optional. The page does not mention a certificate, so treat MLCC as a skills course, not a credential.

Verdict: Google's free credentials are the Google Skills badges; its Coursera certificates are paid unless financial aid is approved. For a Google AI certification free of charge, take the Google Skills generative AI path. Add MLCC if you want technical depth. Pay for Google AI Essentials only if you specifically want the Coursera-issued Google certificate on your CV.

Coursera AI Course Options: What Is Still Free in 2026?

Coursera hosts many of the best AI courses Coursera learners know, including courses from DeepLearning.AI, Google, IBM, Stanford and leading universities. Whether you choose a Coursera AI course for general knowledge, a Coursera artificial intelligence course from a university or a coding-heavy machine learning programme, the payment rules are now the same.

The August 2025 audit change

On 8 August 2025, Coursera announced a new course preview experience that replaced its free audit option. Learners can now preview the first module of nearly every course free, including videos and assessments where available. Full content and certificates need payment. Certain Community Impact courses remain free, and eligible learners can still apply for financial aid to get full access.

Older blogs that say "audit for free" are now outdated. Coursera free AI courses today means a free first module, a free trial, or financial aid.

Coursera pricing in India

Coursera introduced region-aligned pricing for India in September 2025:

Coursera Plus covers more than 10,000 courses from over 350 partners, so the annual plan suits learners taking several courses in a year. Check the final price at checkout, as promotions appear from time to time.

Financial aid: how to apply

Financial aid is the main route to a free certificate on Coursera. Find the financial aid link next to the enrolment options on the course page, then explain your situation and how the course fits your career goals, honestly and specifically. Apply for one course at a time, starting with the one you are most likely to finish.

AI for Everyone by Andrew Ng

AI for Everyone is the best-known beginner course on the platform. It is taught by Andrew Ng, founder of DeepLearning.AI and co-founder of Coursera. The course runs 6 hours 54 minutes across 35 video lessons and 4 graded assignments, which works out to about 4 weeks at 2 to 3 hours a week. It needs no technical background and no coding.

It covers AI terminology, how ML and data science projects work, AI strategy for companies, and AI's impact on society. DeepLearning.AI lists the certificate at USD 49 for 180 days of certificate eligibility on Coursera, with financial aid through Coursera, or through a DeepLearning.AI Pro membership.

Other Andrew Ng courses

• Generative AI for Everyone: about 5 hours across 32 video lessons, beginner level, no coding needed. Graded assignments and the certificate need Pro.
• Machine Learning Specialization (Stanford Online and DeepLearning.AI): three courses over about 95 hours, using Python with NumPy, scikit-learn and TensorFlow. It expects basic programming and high-school maths.

DeepLearning.AI free course options and Pro pricing

DeepLearning.AI moved to a freemium model in 2025. Free members can watch course videos and use the forum. Quizzes, interactive labs, saved progress and certificates need Pro, which costs USD 25 per month billed annually or USD 30 billed monthly. So a DeepLearning.AI free course is free to watch, but not free to certify.

Verdict: Coursera remains the best choice for depth and university or industry branding. Use the free first module to test a course, then either pay, use Coursera Plus, or apply for financial aid.

Microsoft AI Course Free Options

Microsoft is the clearest case of "learn free, pay to certify". Microsoft Learn hosts free, self-paced modules on AI concepts, Azure AI services and responsible AI. You can study as much as you like without paying.

AI-900 is retired: meet AI-901

If you have read older guides, update one important fact. Exam AI-900 retired on 30 June 2026. The Azure AI Fundamentals certification now uses exam AI-901, Microsoft Azure AI Fundamentals, whose English version was updated on 15 April 2026.

The new exam assesses two areas: identifying AI concepts and capabilities, and implementing AI solutions with Microsoft Foundry. It covers AI workloads, machine learning principles on Azure, computer vision, natural language processing and generative AI workloads.

Key points for Indian learners:

• Exam price: set by the country where the exam is proctored. Microsoft does not show a single fee on the page, so check the India price when you register.
• Learning material: at the time of checking, the certification page said learning paths for AI-901 were not yet available, so lean on general Microsoft Learn AI modules for now.
• Practice: Microsoft offers a free practice assessment through AI Skills Navigator.
• Account: Microsoft recommends registering with a personal Microsoft account.

Free events and India programmes

AI Skills Fest 2026, a free virtual event held from 8 to 12 June 2026, gave a free certification exam voucher to people who completed a learning playlist, so watch for similar events. In India, Microsoft's ADVANTA(I)GE INDIA programme offers free skilling in AI, Copilot, prompt engineering and security through training partners.

Verdict: Learn free on Microsoft Learn. Pay for AI-901 only if you are targeting Azure-focused roles. If you are new to cloud, the Microsoft Azure Fundamentals (AZ-900) course builds the cloud basics that AI-901 assumes.

IBM AI Course Free: SkillsBuild AI Fundamentals

IBM SkillsBuild offers one of the very few big-brand AI credentials that is free from start to finish. The Artificial Intelligence Fundamentals badge is issued through Credly and listed as free.

To earn it, you register as a SkillsBuild user, complete IBM's course set, pass the graded quizzes and final assessment, and finish practice simulations. Skills covered include AI applications, AI ethics, neural networks, chatbots, computer vision, deep learning, machine learning, natural language processing and IBM Watson Studio.

Credly labels the badge Intermediate, but the course is conceptual with no coding, so motivated beginners can manage it. A second version, Artificial Intelligence Fundamentals with Capstone Project, adds a practical project.

Verdict: If you want an IBM AI course free of cost with a shareable credential, this is the one to take. It is broader than Google's intro badges and costs nothing.

AWS Skill Builder and the AI Practitioner Exam

Amazon Web Services follows Microsoft's model. AWS Skill Builder includes free AI foundational training inside its Exam Prep Plans, and the paid credential is the AWS Certified AI Practitioner exam (AIF-C01).

Choose AWS if your company or target employer runs on AWS.

OpenAI Academy: Free Courses for Using AI

OpenAI Academy offers 14 free courses across four areas: applying AI at work, building with AI, leading AI adoption, and teaching and learning with AI.

Courses take 30 to 180 minutes and need a ChatGPT account. Scoring 80% or more on an assessment earns a badge, and completing a full pathway earns a certificate of completion. OpenAI is clear that these are not certifications, so present them on your CV as course completions.

It suits anyone who already uses ChatGPT and wants to use it better. Pair it with our list of free AI tools to practise on more than one assistant.

University AI Courses: Harvard, MIT, Helsinki and IIT

Harvard CS50 AI and edX AI courses

CS50's Introduction to Artificial Intelligence with Python is one of the most respected free AI courses in the world. It runs 7 weeks at 10 to 30 hours a week and is self-paced. Topics include graph search, adversarial search, knowledge representation, logical inference, probability, Bayesian networks, Markov models, constraint satisfaction, optimisation, neural networks and natural language processing. Projects include game engines, handwriting recognition and machine translation.

Harvard lists CS50x or prior Python experience as the prerequisite. On edX, the verified certificate costs USD 299, while free audit gives no verified certificate. CS50 has also issued a free CS50 certificate through Harvard OpenCourseWare to learners who complete all projects, using a free GitHub account and a free edX account. Check the current rules on the official CS50 AI site before you start.

Among edX AI courses, CS50 AI is the standout free option; other edX certificate prices vary by course.

MIT artificial intelligence course free options

MIT offers two strong free choices, neither with a certificate:

• MIT OpenCourseWare 6.034 Artificial Intelligence: the classic Fall 2010 undergraduate course taught by Professor Patrick Henry Winston, with lecture videos, recitations, tutorials, programming assignments and exams. It is ideal for learners who want rigorous AI fundamentals.
• MIT 6.S191 Introduction to Deep Learning: a more current course whose 2026 edition ran from 30 March to 25 May 2026. Lectures cover deep sequence modelling, computer vision, generative modelling, reinforcement learning and AI for science, with Python labs on music generation, facial detection and fine-tuning an LLM. It expects elementary linear algebra and calculus; Python helps but is not required.

Elements of AI free online course

The Elements of AI free online course from the University of Helsinki and MinnaLearn is the gentlest university option. It has six chapters: What is AI?, Solving problems with AI, Real world AI, Machine learning, Neural networks, and Implications. It needs no programming or complicated maths, and it gives a free certificate you can share on LinkedIn.

More than 1.8 million people from over 170 countries have signed up, about 40% of them women. The follow-up course, Building AI, adds Python exercises over about 50 hours, with an optional paid certificate.

IIT AI course free: NPTEL on SWAYAM

For an IIT AI course free to learn, NPTEL is the answer. NPTEL courses are taught by IIT and IISc faculty and hosted on SWAYAM. One popular example is Introduction to Machine Learning by Professor Balaraman Ravindran of IIT Madras, which drew 27,877 enrolments in a single 2022 run.

Learning is free. The certificate needs a proctored exam:

Many Indian colleges accept NPTEL courses for credit. For more options from Indian government platforms, read our guide to free government courses with certificate.

Kaggle Learn, fast.ai, freeCodeCamp and Udemy

Kaggle Learn

Kaggle Learn offers short, free, hands-on courses that run inside Kaggle notebooks on real datasets. Popular choices include Python (about 5 hours) and Intro to Machine Learning (about 3 hours), and Kaggle issues a free certificate when you finish a course.

fast.ai

Practical Deep Learning for Coders from fast.ai is free. Part 1 has 9 lessons of about 90 minutes each, and Part 2 adds more than 30 hours. It expects about a year of coding experience, preferably in Python, plus high-school maths. You work with PyTorch, fastai, Hugging Face Transformers and Gradio across computer vision, NLP, tabular data and deployment. No certificate is mentioned, but the projects you build are portfolio material.

freeCodeCamp artificial intelligence courses

freeCodeCamp is useful in two ways. Its Machine Learning with Python curriculum covers Python, TensorFlow and NumPy projects and has offered a free certification on completion. It also publishes long free video courses on AI and machine learning, including the full Harvard CS50 AI lecture set (about 12 hours) on its YouTube channel. The video courses do not come with a certificate.

Udemy AI course options

Udemy has thousands of AI courses, and a small number are free. According to Udemy's support page, free courses do not include a certificate of completion, Q&A or direct messaging with the instructor. Those features come with paid enrolments.

Paid Udemy courses vary widely in quality, so check the instructor, the last update date and recent reviews before buying. A Udemy AI course works best for learning one specific tool quickly.

Cost Comparison: What Each Certificate Really Costs

The pattern is clear: learning AI is almost always free, and the certificate is where the cost sits. Collect free credentials first, then pay only for the one exam that directly supports your career goal. Our guide to free AI courses with certificate lists more no-cost credentials.

Which Platform Should You Choose? Advice by Goal

Students and freshers: start with Elements of AI or the Google Skills badges, learn Python on Kaggle Learn, take an NPTEL course for college credit, then do CS50 AI or MLCC with two small projects. Our guide on how to become an AI engineer covers the next steps.

Non-technical professionals: take AI for Everyone, the Google Skills intro courses and OpenAI Academy. If your employer reimburses certificates, Google AI Essentials is a good paid add-on.

Developers and IT professionals: go straight to MLCC, CS50 AI and fast.ai, add AI-901 or AWS AI Practitioner to match your company's stack, and study how large language models work before building with them.

How to Combine Platforms Into One Learning Path

No single platform covers everything. Here is one way to combine free courses over about three to six months of part-time study (our estimate from the course hours above, not a provider figure).

1. Weeks 1 to 2, concepts: Elements of AI or AI for Everyone, plus the Google Skills intro badges.
2. Weeks 3 to 6, Python: Kaggle Learn Python and Pandas, then practice on small datasets.
3. Weeks 7 to 10, machine learning: Google MLCC, Kaggle Intro to Machine Learning, and our explainer on what machine learning is.
4. Weeks 11 to 14, a credential: IBM SkillsBuild AI Fundamentals for free, or NPTEL if you want IIT-backed certification.
5. Weeks 15 to 20, depth: CS50 AI or fast.ai, plus OpenAI Academy for generative AI tools.
6. Throughout, projects: build two or three small projects and publish them on GitHub.

If you are completely new, follow the order in our AI course for beginners guide, which explains each stage in more detail. A Python training course can speed up step 2 if you prefer live teaching.

Limits of Big-Platform Free AI Courses

Free courses are excellent for exploring, but they have limits:

• No live trainer. Forums help, but no one reviews your code or answers questions in real time.
• Generic examples. Global courses rarely use examples from Indian workplaces or industries.
• Certificate costs add up. Several paid certificates and exams can cost more than one structured programme.
• Self-paced drop-off. Without deadlines or a cohort, many learners never finish.
• Badges are not degrees. Badges prove learning, but projects and interviews still decide hiring.

Recommended SimpliAxis Courses After Free Platforms

Many learners explore AI on Google, IBM or Coursera, then choose live, trainer-led learning for feedback and job-ready projects. These SimpliAxis courses fit the paths above:

• Start free: SimpliAxis free courses are self-paced and give a digital completion certificate after you create a free account.
• Structured AI career course: Artificial Intelligence Certification Training covers Python for AI, machine learning, deep learning, NLP, computer vision and intelligent agents, with live virtual or classroom delivery.
• Beginner AI and ML: Introduction to AI and ML Certification Training has no prerequisites and suits learners coming from Elements of AI or AI for Everyone.
• Generative AI basics: Introduction to Generative AI is a live online course covering prompt engineering, LLMs and building a chatbot.
• Prompting skills: Prompt Engineering Course is live training on prompt development, embeddings and function calling.
• Developers: Generative AI for Software Developers and Agentic AI Engineering with Anthropic Claude Technologies cover RAG, agents and deployment.
• Leaders and managers: Agentic and Generative AI Workshop for IT Services Business Leaders and Managers helps leaders plan AI adoption.

Call to action: Not sure which platform to begin with? Start learning today with a SimpliAxis free course, earn your digital completion certificate, and move to live, trainer-led AI training when you are ready.