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577 Best + Free Artificial Intelligence Courses & Certificates [2026]

577 courses compared 197 over 10 hours long Updated October 19, 2026

Ranked by Michael Kuhlman, CourseDuck's founder, from student reviews across every provider. How we rank

Our guides: The 10 Best Claude Courses on Udemy in 2026The 10 Best AI Agent Courses on Udemy in 2026, Ranked by Student Reviews

Our top picks

  • ChatGPT: Complete ChatGPT Course For Work 2026 (Ethically)! [Udemy]
  • The Complete AI Guide: Learn ChatGPT, Claude & Generative AI [Udemy]
  • [NEW] Ultimate AWS Certified AI Practitioner AIF-C01 [Udemy]
  • Generative AI Unleashed: Exploring Possibilities and Future [Udemy]
  • Introduction To Artificial Intelligence [Udemy]
  • Machine Learning for Absolute Beginners - Level 1 [Udemy]
  • Intro to AI: A Beginner's Guide to Artificial Intelligence [Udemy]
  • Complete A.I. & Machine Learning, Data Science Bootcamp [Udemy]
  • Artificial Intelligence & Machine Learning for Business [Udemy]
  • Artificial Intelligence Risk and Cyber Security Course 2026 [Udemy]

About the best Artificial Intelligence courses

Artificial intelligence went from a research specialty to an everyday work skill in a few short years, and the course market followed. This list covers the whole spread: hands-on generative AI and ChatGPT training for people who want results this week, machine learning foundations from universities like Stanford, MIT and the University of Helsinki, and exam prep for cloud AI certifications such as the AWS Certified AI Practitioner.

Every course is ranked from real student reviews and ratings across Udemy, Coursera, edX, YouTube and the other providers, the same approach that got CourseDuck featured by Harvard EDU, Stackify and Inc. Use the filters below to narrow the list to free courses, certificates, beginner level or a provider you already subscribe to. How we rank

Frequently asked questions

The most-reviewed course in this category is The Complete Prompt Engineering for AI Bootcamp (2026) by Mike Taylor, with about 162,300 reviews at 4.5 as of October 2026.

Artificial intelligence is the field of building computer systems that perform tasks that normally need human intelligence, such as understanding language, recognizing images and making predictions. Generative AI chatbots are one example. Courses here cover ChatGPT, prompt engineering, generative AI, AI agents and LangChain.

Average
$132,150 a year
Middle half earn
$93,500 to $161,000 25th to 75th percentile
Full range
$28,000 to $231,500

Share of US job postings in each pay band; the dark bar holds the average, the striped bars the 25th and 75th percentiles. Source: ZipRecruiter salary data collected in 2020-21, when this FAQ was first written; pay has moved since, so treat it as a rough guide.

Paid Udemy video courses include a certificate of completion when you finish; free courses and practice-test-only courses do not. It shows you did the work, but it is not an accredited qualification. Coursera and edX usually charge for a certificate, issued with the university or company that made the course.

Not for the applied and generative AI courses at the top of this list: they teach you to work with tools like ChatGPT and assume no programming. For machine learning courses you will want basic Python and comfortable high-school algebra, and statistics, linear algebra and calculus start to matter once you go deeper into deep learning. Open All filters, choose Beginner under Difficulty, and you will see the courses that assume nothing.

Provider

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Rating

Duration

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Publication Year

Language

577 Filtered Courses
ChatGPT: Complete ChatGPT Course For Work 2026 (Ethically)!
provider

1

ChatGPT: Complete ChatGPT Course For Work 2026 (Ethically)!

4.6

A demo-heavy, 18 hour tour of using ChatGPT for office tasks, prompts, images and multi-step workflows, refreshed for GPT-5 and built for people who have barely touched the tool.

Best for: Office workers who have barely touched ChatGPT and want short demo videos of everyday tasks, not technical theory.

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Pros
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Cons
    • Bite-size lectures on concrete office tasks: emails, reports, summaries, translation, presentation scripts
    • Refreshed in July 2026 with sections on GPT-5, image creation and multi-step workflows
    • Reviewers describe the teaching as pleasant, clear and easy to follow for people new to AI
    • Includes an ethics and limitations section alongside the productivity demos
    • Heavy repetition: low-star reviewers say the same points recur and the course could be half the length
    • Some material is out of date and there is no clear split between free and paid ChatGPT features
    • A five hour Retired Lectures section pads the 18 hour total, and some lectures end abruptly
The Complete AI Guide: Learn ChatGPT, Claude & Generative AI
provider

2

The Complete AI Guide: Learn ChatGPT, Claude & Generative AI (2026)

4.5

A 42 hour tour of ChatGPT, Claude Code, Midjourney and dozens of other AI tools, refreshed in August 2026 and rated 4.5 by more than 63,000 students.

Best for: Non-technical professionals who want a broad survey of what AI tools exist before picking a few to use at work.

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Pros
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Cons
    • Covers 50 plus tools in one place, from ChatGPT and Claude Code to Midjourney and Make automations
    • Julian Melanson's delivery is clear and unhurried, and beginners say they follow along easily
    • Updated August 2026, and the syllabus now includes AI agents, Claude Code, and vibe coding sections
    • Comes with a 17 page prompting guide PDF and a promised 35 plus downloadable resources
    • Several 2026 reviewers say the ChatGPT sections still show the 2023 interface
    • Co-instructor Benza Maman moves too fast for at least one student and scrolls past screens
    • No quizzes, exercises, or assignments across 42 hours; low ratings call it theoretical, long and repetitive
[NEW] Ultimate AWS Certified AI Practitioner AIF-C01
provider

3

[NEW] Ultimate AWS Certified AI Practitioner AIF-C01 (2026)

4.7

A 10-hour, exam-focused prep for Amazon's entry-level AI certification from AWS Hero Stephane Maarek, with section quizzes, downloadable slides and one short practice exam.

Best for: Anyone who wants the AIF-C01 badge quickly, especially people who already hold Cloud Practitioner or another AWS cert.

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Pros
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Cons
    • Clear, easy explanations; several reviewers passed earlier AWS exams using his courses
    • Quiz after most sections, a practice exam, and all 200+ slides as a downloadable PDF
    • Hands-on demos of Bedrock, Amazon Q and SageMaker, using the AWS free tier where possible
    • Refreshed in September 2026, and one reviewer says Q&A answers reached beyond the AI topics
    • Only one 20-question practice exam; one reviewer says first-timers need at least two full-length tests
    • Opens with Bedrock before the AI and ML basics, which one true beginner found too much too soon
    • A recent 2-star says agentic AI topics (AgentCore, Strands, MCP) were missing as of August 2026
Generative AI Unleashed: Exploring Possibilities and Future
provider

4

Generative AI Unleashed: Exploring Possibilities and Future (2026)

4.4

A 99 minute lecture-style tour of how generative models work, from GANs and transformers to RLHF and the EU AI Act, aimed at managers and curious professionals rather than builders.

Best for: Managers and non-technical professionals who want the vocabulary of generative AI in one evening, with quizzes to check it stuck.

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Pros
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Cons
    • Six short sections with a quiz after each, so the vocabulary actually sticks
    • Covers the full model family tree: Bayesian, VAEs, GANs, autoregressive, transformers, diffusion
    • Ethics, bias, deepfakes and the EU AI Act get their own section, not a footnote
    • Refreshed in June 2026, so the agentic systems and small language model material is current
    • Monotone, script-read narration that several reviewers found exhausting to listen to
    • Heavy on jargon and light on concrete examples for a course tagged all levels
    • Nothing hands-on: no code, no assignments, and a tech professional says they learned nothing new
Introduction To Artificial Intelligence
provider

5

Introduction To Artificial Intelligence (2020)

4.4

A free, no-code hour on what AI actually is, from basic concepts and history to machine learning types and a glimpse of Azure ML Studio, with 4,000-plus reviews behind it.

Best for: Anyone who keeps hearing about AI at work or in the news and wants the vocabulary in an hour, without code.

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Pros
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Cons
    • Free and only 67 minutes, so it costs nothing but a lunch break to find out if AI interests you
    • Reviewers repeatedly call the language simple and easy to follow
    • Covers the useful basics: machine learning versus rule-based programming, ML types, and the AI development process
    • Three quizzes and a short Azure ML Studio overview give it a bit more than pure lecture
    • Audio volume is inconsistent, from near inaudible to very loud, according to two reviewers
    • Last updated in 2020, so there is nothing on ChatGPT, large language models, or generative AI
    • No certificate, no projects, and little new for anyone who already follows tech news
Machine Learning for Absolute Beginners - Level 1
provider

6

Machine Learning for Absolute Beginners - Level 1 (2026)

4.5

A short, no-code tour of machine learning and generative AI, built for people who want the vocabulary and big ideas before touching any code.

Best for: Managers, product people and curious beginners who want AI terms explained without code or math.

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Pros
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Cons
    • Reviewers say the explanations are easy to follow and the visuals help
    • Needs no math or programming, which reviewers count as a plus
    • Generative AI sections explain how models treat prompts and training data
    • Short and structured: 59 lectures in eight sections with quizzes
    • All theory. No coding exercises, so nothing gets built or practiced
    • Some reviewers found the examples watered down and light on how AI works inside
    • A reviewer wanted a cleaner transcript, and another found it dry
Intro to AI: A Beginner's Guide to Artificial Intelligence
provider

7

Intro to AI: A Beginner's Guide to Artificial Intelligence (2026)

4.5

A short, animated 2.5-hour primer on what AI, machine learning and generative AI are, built for business people and total beginners rather than coders.

Best for: Non-technical professionals who want the AI vocabulary and big picture in one afternoon, with no coding.

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Pros
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Cons
    • Animated explainers make the history of large language models easy to follow
    • Pitched at beginners: one reviewer calls it neither too complicated nor too simple
    • Covers generative AI, the AI tech stack, ethics and AI job roles in one short run
    • Updated in January 2026, with a 4.5 rating across more than 34,000 reviews
    • Mostly concepts with no coding exercises, so it will not teach hands-on AI use
    • Some reviewers find the cartoon presenter, cheerful voice and busy visuals distracting
    • Fast pace skims the theory, and a few reviewers wanted more depth on methods
Complete A.I. & Machine Learning, Data Science Bootcamp
provider

8

Complete A.I. & Machine Learning, Data Science Bootcamp (2026)

4.7

Andrei Neagoie and Daniel Bourke's 44 hour ramp from Python basics to TensorFlow 2, built around two milestone projects and holding a 4.7 rating from about 31,000 students.

Best for: Complete beginners, no math or coding required, who want one long guided path to a first deep learning project.

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Pros
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Cons
    • Two milestone projects, a classification task and a time series model, with all notebooks provided on GitHub
    • Two separate Python sections so non-programmers can start from zero and coders can skip straight to pandas
    • Refreshed in February 2026, with 384 lectures and 61 articles spread across 20 sections
    • Reviewers call the teaching engaging and fun to watch, with a new-hire framing that keeps lessons focused
    • Unsupervised learning is in the blurb, but one low-star reviewer says it is missing and the course feels incomplete
    • Only two quizzes and one coding exercise across 44 hours, so practice is mostly watch and retype
    • Informal chatter and lightly explained concepts frustrate reviewers who wanted more depth
Artificial Intelligence & Machine Learning for Business
provider

9

Artificial Intelligence & Machine Learning for Business (2025)

4.5

A six-hour, no-code overview of AI and machine learning for managers and executives, covering industry uses, team building and the steps of an AI project.

Best for: Managers and executives who need AI vocabulary and a project-process overview, with no coding.

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Pros
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Cons
    • No coding or prior AI knowledge needed, so it works for managers coming in cold
    • Covers the practical side: building an AI team, setting up a practice and the steps of a project
    • Well-divided sections and 13 quizzes help reinforce each topic
    • Industry and function examples show where AI is used, from sales and marketing to finance and HR
    • Reviewers call it high-level and theory-heavy, with few real-world cases or frameworks
    • One reviewer says many lectures are from 2020 or earlier and need updating
    • Slow introductions drew complaints, and one narrator's pronunciation was hard to follow
Artificial Intelligence Risk and Cyber Security Course 2026
provider

10

Artificial Intelligence Risk and Cyber Security Course 2026

4.5

A two-hour, non-technical primer on AI risk, governance and machine learning security, aimed at risk and cyber staff who need the vocabulary quickly.

Best for: Risk, audit or security staff who need a quick, non-technical map of AI governance and ML security threats.

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Pros
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Cons
    • Assumes no AI or programming background, so risk and audit staff can follow it
    • Explains data poisoning, model evasion and AI bias in plain language, per reviewers
    • A 70-minute security section walks through controls across the ML lifecycle
    • Short enough to finish in an afternoon, and it has an agentic AI lesson
    • Instructor speaks fast, and some reviewers find the accent or flat tone tiring
    • Thin on depth, with some examples reviewers say still date from 2022 and 2023
    • Subtitles scroll too fast for one reviewer, and some want translations beyond the subtitles
Deep Learning Prerequisites: The Numpy Stack in Python (V2+)
provider

11

Deep Learning Prerequisites: The Numpy Stack in Python (V2+) (2026)

4.5

A short primer on Numpy, Pandas, Matplotlib and Scipy from Lazy Programmer, built as the on-ramp to his machine learning courses, with about 22,500 reviews behind it.

Best for: People who know Python and some linear algebra but freeze when asked to turn a formula into Numpy code.

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Pros
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Cons
    • Concise: the four core library sections total about two and a half hours
    • Explains why each Numpy or Pandas operation matters for machine learning, not just the syntax
    • Machine Learning Basics section with Scikit-Learn adds real content beyond the free version
    • Updated in August 2026 and rated 4.4 by about 22,500 students
    • Instructor's tone strikes some students as grumpy or condescending, and Q&A help is thin
    • Exercises are hard and come without worked answers
    • About a third of the runtime is appendix and FAQ material, and free-version students see a lot repeated

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All 577 Artificial Intelligence courses (the 500 most reviewed)

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