By Quick answer: What are the best AI courses to take online in 2027?
- To build AI — Machine Learning Specialization (2 months), then Generative AI with LLMs (2 weeks) or Harvard CS50 AI.
- To go deep — Deep Learning Specialization (3 months) and Kaggle's hands-on micro-courses.
- To use AI at work — Google Prompting Essentials or Google AI Essentials, each under 10 hours.
- To understand AI — AI For Everyone, Generative AI for Everyone and Anthropic's free courses, no code needed.
Key takeaways
- A course teaches the skill; a certification proves it. Pick a course for learning, then a vendor exam if you need a credential.
- Builders should start with machine-learning foundations before generative AI; everyone else should start with practical use.
- Five of the ten are free or free to audit, so you can try a course before paying for its certificate.
"AI course" and "AI certification" get used as if they're the same thing. They're not. A course is where you learn; a certification is an exam that proves it. This guide ranks courses: the ten online programmes that teach AI best in 2027, whether you want to build models, build products on top of them, or simply use AI well in your job. For proctored AI exams, read our companion ranking of the best AI certifications. Times and costs here come from each course page, checked in November 2026.
The 10 best AI courses at a glance
Builders' courses first, then courses for using and understanding AI. Free to audit means the lessons are free and the certificate is paid.
| # | Certification | Cost | Time | Prove it free |
|---|---|---|---|---|
| 1 | Machine Learning SpecializationDeepLearning.AI & Stanford / Coursera | $49/mo Coursera plan1 | 2 months at 10 hours a week | Free test |
| 2 | Generative AI with Large Language ModelsDeepLearning.AI & AWS / Coursera | Coursera plan2 | 2 weeks at 10 hours a week | Free test |
| 3 | CS50's Introduction to AI with PythonHarvard University | Free3 | Self-paced | Free test |
| 4 | Deep Learning SpecializationDeepLearning.AI / Coursera | Coursera plan4 | 3 months at 10 hours a week | Free test |
| 5 | Kaggle Learn Micro-Courses (ML, Python, SQL)Kaggle (Google) | Free5 | Short micro-courses, a few hours each | Free test |
| 6 | Google Prompting EssentialsGoogle / Coursera | $49/mo Coursera plan6 | Under 10 hours (per course page) | Free test |
| 7 | Google AI EssentialsGoogle / Coursera | $49/mo Coursera plan7 | Under 10 hours (per course page) | Free test |
| 8 | Generative AI for EveryoneDeepLearning.AI / Coursera | Free to audit on Coursera8 | About 6 hours | Free test |
| 9 | AI For EveryoneDeepLearning.AI / Coursera | Free to audit on Coursera9 | About 7 hours | Free test |
| 10 | Anthropic Academy – Claude CoursesAnthropic | Free10 | Self-paced | Free test |
Prove it free before you pay for an exam
Take the free test first. Pay for an exam only when you pass.
Check what you've learnt with free Science of Apps tests matched to these courses. Science of Apps runs 1,200+ free, test-based certifications — one of the largest libraries of free certification tests online. (Disclosure: we publish these tests; the courses above earn us nothing.)
- Machine Learning Fundamentals CertificationTest the ML foundations from Andrew Ng's specialization.Start free test →
- Generative AI Fundamentals CertificationCheck your grasp of how generative AI works and fails.Start free test →
- Prompt Engineering CertificationProve the prompting method Google's course teaches.Start free test →
- Deep Learning CertificationFor Deep Learning Specialization graduates.Start free test →
The ten AI courses, and who each one is for
Pick from the top half if you want to build with AI, from the bottom half if you want to use it.
- CourseraMachine Learning SpecializationFuture builders: the foundation for everything else$49/mo Coursera plan
- CourseraGenerative AI with Large Language ModelsDevelopers who need to understand LLMsCoursera plan
- Harvard UniversityCS50's Introduction to AI with PythonStudents with solid PythonFree
Machine Learning Specialization
- Cost
- $49/mo Coursera plan1
- Time
- 2 months at 10 hours a week
The best place for future builders to start. Andrew Ng's updated Machine Learning Specialization, from DeepLearning.AI and Stanford Online, covers regression, classification, neural networks, decision trees and recommender systems in Python, at about 10 hours a week for two months. It assumes high-school maths and some coding. Everything else in AI engineering rests on what it teaches.
Best forfuture builders: the foundation for everything else
Generative AI with Large Language Models
- Cost
- Coursera plan2
- Time
- 2 weeks at 10 hours a week
The fastest way for a developer to understand how large language models are trained, tuned and deployed. Built by DeepLearning.AI with AWS, it covers transformers, fine-tuning, RLHF and the cost trade-offs of putting LLMs into production, in about two weeks at 10 hours a week. Take it after basic ML, and before any generative-AI engineering exam.
Best fordevelopers who need to understand LLMs
CS50's Introduction to AI with Python
- Cost
- Free3
Harvard's AI course for people who already write Python: search, logic, probability, optimisation, machine learning, neural networks and language, taught through seven demanding projects. It's free with a free CS50 certificate. It's more computer science than the Coursera courses here, which makes it the strongest choice for students.
Best forstudents with solid Python
Deep Learning Specialization
- Cost
- Coursera plan4
- Time
- 3 months at 10 hours a week
The deep end, for people who want to understand neural networks properly: CNNs, sequence models and the ideas behind transformers, over about three months at 10 hours a week. It's free to audit. Most people using AI at work don't need it; aspiring ML engineers and researchers do.
Best foraspiring ML engineers and researchers
Kaggle Learn Micro-Courses (ML, Python, SQL)
- Cost
- Free5
- Time
- Short micro-courses, a few hours each
The most practical free option: short, browser-based micro-courses in Python, pandas, machine learning, deep learning and computer vision, each with a free certificate. You learn by writing code against real datasets from the first lesson. Use it alongside a structured course to get hands-on fast.
Best forlearning by coding from day one
Google Prompting Essentials
- Cost
- $49/mo Coursera plan6
- Time
- Under 10 hours (per course page)
The single most useful AI course for office work in 2027. In under 10 hours, Google teaches a method for writing prompts, checking outputs and using AI for writing, analysis and planning. It doesn't teach how models work, and doesn't need to for its audience: managers, marketers, analysts and anyone with an inbox.
Best foroffice work: the most useful 10 hours
Google AI Essentials
- Cost
- $49/mo Coursera plan7
- Time
- Under 10 hours (per course page)
A broader practical course from Google: using generative AI for everyday tasks, recognising its limits and using it responsibly, in under 10 hours. Choose it over Prompting Essentials if you're newer to AI tools; choose Prompting Essentials if you already use them daily and want to get better.
Best fornewcomers to AI tools
Generative AI for Everyone
- Cost
- Free to audit on Coursera8
- Time
- About 6 hours
Andrew Ng's non-technical course on generative AI: what it can do, how businesses are using it and how to think about its risks, in about six hours. It's free to audit. Leaders and product people use it to build a shared vocabulary before planning AI projects.
Best forleaders planning AI projects
AI For Everyone
- Cost
- Free to audit on Coursera9
- Time
- About 7 hours
The classic non-technical introduction to AI, about seven hours and free to audit. It explains what machine learning can and can't do, how AI projects run inside companies and how to work with AI teams. Still the best first course for executives and anyone who wants the big picture before generative AI.
Best forexecutives who want the big picture
Anthropic Academy – Claude Courses
- Cost
- Free10
Free courses from Anthropic on prompting, building with the Claude API and working with AI agents, with practical notebooks. They're among the clearest free introductions to building products on a modern model. There's no proctored credential, so treat them as learning material for a portfolio project.
Best forbuilding products on a modern model
Course or certification: which do you need?
Take a course when you need the skill; take a certification when you need proof an employer can check. Most people need the course first.
Choose a course when
- You're new to AI and need to learn it properly
- You want to build a portfolio project
- You're exploring whether AI work suits you
Choose a certification when
- A job post you want names a specific exam
- You already have the skill and need verifiable proof
- Your employer pays for vendor certifications
A 12-week AI learning plan for beginners
- Weeks 1–2: understand — AI For Everyone or Generative AI for Everyone.
- Weeks 3–4: use — Google Prompting Essentials; apply one technique at work each week.
- Weeks 5–10: build (optional) — Machine Learning Specialization, or Kaggle's Python and intro-ML courses if time is short.
- Weeks 11–12: prove — build one small AI project and take a free Science of Apps AI test; book AWS AI Practitioner or AI-900 if you need an exam.
How we ranked these picks
We ranked courses, not exams, on teaching quality and depth for their intended learner, the reputation of the instructor or institution, hands-on practice, and cost (free or free-to-audit options ranked up). Builders' courses come first because they serve the most demanding goal; within each group, the order reflects how much each course teaches per hour. Times and costs come from course pages, checked 3 November 2026.
Frequently asked questions
What is the best AI course for beginners?
For beginners who want to use AI at work, Google Prompting Essentials or Google AI Essentials, each under 10 hours. For beginners who want to understand AI first, AI For Everyone, which is free to audit. For beginners who want to build AI, the Machine Learning Specialization is the best starting point, assuming some coding.
Which AI courses are free?
Harvard's CS50 AI and Kaggle Learn are free, certificates included, and Anthropic's courses are free. AI For Everyone, Generative AI for Everyone, Generative AI with LLMs and the Deep Learning Specialization are free to audit on Coursera, with a paid certificate. The Google courses need a Coursera subscription.
How long does it take to learn AI online?
Using AI well at work takes a few weeks with a course like Google Prompting Essentials. Understanding machine learning takes about two months with the Machine Learning Specialization at 10 hours a week. Becoming job-ready as an ML engineer usually takes a year or more of courses plus projects.
Is Andrew Ng's course still worth it in 2027?
Yes. The Machine Learning Specialization was rebuilt with Python and remains one of the clearest foundations in machine learning. Generative AI builds on those ideas, so the course is still the best starting point for anyone who wants to build with AI rather than only use it.
Do AI courses give a certificate?
Most do. Coursera courses give a certificate with a paid subscription; Harvard CS50 AI and Kaggle Learn give free certificates. These are course certificates, not proctored certifications. If an employer wants a verifiable AI credential, add an exam such as AWS Certified AI Practitioner or Microsoft AI-900.
Sources
- DeepLearning.AI & Stanford — Machine Learning Specialization, official page (checked 3 Nov 2026)
- DeepLearning.AI & AWS — Generative AI with Large Language Models, official page (checked 3 Nov 2026)
- Harvard University — CS50's Introduction to AI with Python, official page (checked 3 Nov 2026)
- DeepLearning.AI — Deep Learning Specialization, official page (checked 3 Nov 2026)
- Kaggle (Google) — Kaggle Learn Micro-Courses (ML, Python, SQL), official page (checked 3 Nov 2026)
- Google — Google Prompting Essentials, official page (checked 3 Nov 2026)
- Google — Google AI Essentials, official page (checked 3 Nov 2026)
- DeepLearning.AI — Generative AI for Everyone, official page (checked 3 Nov 2026)
- DeepLearning.AI — AI For Everyone, official page (checked 3 Nov 2026)
- Anthropic — Anthropic Academy – Claude Courses, official page (checked 3 Nov 2026)
- Checked November 4, 2026. Figures that change — fees, salaries, prices — are reviewed every six months; if something is out of date, tell us.
Where to go from here
- The best AI certifications of 2027 — proctored exams that prove AI skill
- Science of Apps AI certifications — free AI tests
- Career guides by Science of Apps for 2027Free AI certifications in 2027: seven that cost nothing and still teach you something real7 free AI certifications for 2027: Elements of AI, Harvard CS50 AI, Kaggle, Anthropic, OpenAI Academy, Microsoft Learn and AI For Everyone, with what's free.
- Career guides by Science of Apps for 2027Free machine learning certifications in 2027: five that cost nothing and teach real ML5 free machine learning certifications and courses for 2027: Kaggle Learn, Harvard CS50 AI, Andrew Ng's specializations (audit) and Microsoft Learn.
- Career guides by Science of Apps for 2027The best online courses with certificates in 2027: ten that teach a real skill and leave you with proofThe 10 best online courses with certificates for 2027: Google, IBM, Meta, Harvard and DeepLearning.AI programmes that build portfolio-ready skills, with costs.
- Career guides by Science of Apps for 2027The best AI certifications of 2027: ten ranked by what they do for your career, from first exam to AI engineerThe 10 best AI certifications of 2027, ranked by career impact: AWS AI Practitioner, Azure AI-102, Google's AI exams and more, with costs and enrol links.
- Career guides by Science of Apps for 2027The best data science certifications of 2027: ten for learning the craft and proving itThe 10 best data science certifications of 2027: IBM Data Science, Google Advanced Data Analytics, Azure DP-100, Andrew Ng's ML, Kaggle, Databricks and more.
- Career guides by Science of Apps for 2027Free online certifications in 2027: ten that are genuinely free, from issuers employers have heard of10 free online certifications for 2027 with no hidden paywall: Harvard CS50, HubSpot, Google Skillshop, Kaggle, Elements of AI and more, with direct links.
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