• For Individuals
  • For Businesses
  • For Universities
  • For Governments
Coursera
  • Online Degrees
  • Careers
  • Log In
  • Join for Free
    Coursera
    • Browse
    • Artificial Intelligence

    Artificial Intelligence Courses

    Artificial intelligence courses can help you learn how to build systems that solve problems, recognize patterns, and make decisions using data and algorithms.

    Skip to search results

    Filter by

    Subject
    Required
     *

    Language
    Required
     *

    The language used throughout the course, in both instruction and assessments.

    Learning Product
    Required
     *

    Level
    Required
     *

    Duration
    Required
     *

    Skills
    Required
     *

    Subtitles
    Required
     *

    Educator
    Required
     *

    Find the Best AI Course for Your Goals

    • Status: Free Trial
      Free Trial
      U

      University of Michigan

      AI for Mechanical Engineers

      Skills you'll gain: Artificial Intelligence and Machine Learning (AI/ML), Medical Imaging, Applied Machine Learning, Generative AI, Reinforcement Learning, Artificial Intelligence, Image Analysis, Computer Vision, Design Strategies, Design Thinking, Technical Design, Energy and Utilities, Bioinformatics, Automation, Machine Learning, Deep Learning, Machine Learning Algorithms, Data-Driven Decision-Making, Advanced Analytics, Electric Power Systems

      4.2
      Rating, 4.2 out of 5 stars
      ·
      68 reviews

      Intermediate · Specialization · 1 - 3 Months

    • Status: Preview
      Preview
      C

      Coursera Instructor Network

      Introduction to Generative AI in Healthcare

      Skills you'll gain: Generative AI, Data Ethics, Healthcare Industry Knowledge, Artificial Intelligence, Medical Privacy, Regulatory Compliance, Health Technology, Healthcare Ethics, Image Analysis, Health Informatics, Natural Language Processing, Information Privacy, Medical Imaging, Patient Evaluation, Decision Support Systems

      4.1
      Rating, 4.1 out of 5 stars
      ·
      26 reviews

      Beginner · Course · 1 - 3 Months

    • Status: Preview
      Preview
      U

      University of Glasgow

      Generative AI for Healthcare Students and Professionals

      Skills you'll gain: Prompt Engineering, Radiology, Healthcare Ethics, Generative AI, Medical Imaging, X-Ray Computed Tomography, Augmented and Virtual Reality (AR/VR), Data Ethics, Predictive Modeling, Artificial Intelligence, Chronic Diseases, Clinical Research, Health Care, Health Informatics, Simulations, Bayesian Statistics

      4.9
      Rating, 4.9 out of 5 stars
      ·
      8 reviews

      Beginner · Course · 1 - 4 Weeks

    • Status: Preview
      Preview
      P

      Politecnico di Milano

      Trustworthy AI for Healthcare Management

      Skills you'll gain: Data Ethics, Artificial Intelligence, Healthcare Industry Knowledge, Health Informatics, Machine Learning, Healthcare Ethics, Medical Records, Health Technology, Information Privacy, Data Governance, Medical Imaging

      4.7
      Rating, 4.7 out of 5 stars
      ·
      65 reviews

      Beginner · Course · 1 - 3 Months

    • Status: Preview
      Preview
      J

      Johns Hopkins University

      Artificial Intelligence for Breast Cancer Detection

      Skills you'll gain: Mammography, Artificial Intelligence, Anomaly Detection, Image Analysis, Computer Vision, Medical Imaging, Radiology, Machine Learning Methods, Artificial Neural Networks, Epidemiology, Bayesian Statistics, Supervised Learning, Deep Learning

      4.6
      Rating, 4.6 out of 5 stars
      ·
      72 reviews

      Intermediate · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      M

      MathWorks

      Computer Vision for Engineering and Science

      Skills you'll gain: Image Analysis, Computer Vision, Deep Learning, Applied Machine Learning, Machine Learning, Supervised Learning, Feature Engineering, Anomaly Detection, Classification And Regression Tree (CART), Simulations, Medical Imaging, Matlab, Geospatial Information and Technology, Machine Learning Algorithms, Linear Algebra, Algorithms, Data Validation, Performance Tuning

      4.6
      Rating, 4.6 out of 5 stars
      ·
      88 reviews

      Intermediate · Specialization · 1 - 3 Months

    What brings you to Coursera today?

    • Status: Free Trial
      Free Trial
      C

      Columbia University

      First Principles of Computer Vision

      Skills you'll gain: Computer Vision, Image Analysis, Photography, Computer Graphics, 3D Modeling, Visualization (Computer Graphics), Virtual Reality, Medical Imaging, Unsupervised Learning, Artificial Neural Networks, Dimensionality Reduction, Graph Theory, Machine Learning Algorithms, Display Devices, Mathematical Modeling, Color Theory, Algorithms, Estimation, Electronic Components, Automation Engineering

      4.7
      Rating, 4.7 out of 5 stars
      ·
      218 reviews

      Beginner · Specialization · 3 - 6 Months

    • Status: Free Trial
      Free Trial
      M

      MathWorks

      Deep Learning for Computer Vision

      Skills you'll gain: Computer Vision, Anomaly Detection, Image Analysis, Deep Learning, Artificial Neural Networks, Matlab, PyTorch (Machine Learning Library), Applied Machine Learning, Performance Tuning, Keras (Neural Network Library), Tensorflow, Exploratory Data Analysis, Visualization (Computer Graphics), Data Validation, Data Synthesis, Data Processing, Medical Imaging, Interoperability, Data Collection

      4.8
      Rating, 4.8 out of 5 stars
      ·
      26 reviews

      Beginner · Specialization · 1 - 3 Months

    • Status: Preview
      Preview
      D

      Duke University

      Introduction to Machine Learning

      Skills you'll gain: Reinforcement Learning, Image Analysis, Machine Learning, Deep Learning, Data Validation, Applied Machine Learning, Artificial Neural Networks, Supervised Learning, PyTorch (Machine Learning Library), Natural Language Processing, Unsupervised Learning, Computer Vision, Python Programming, Medical Imaging

      4.7
      Rating, 4.7 out of 5 stars
      ·
      3.8K reviews

      Intermediate · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      P

      Packt

      Deep Learning with Real-World Projects

      Skills you'll gain: Matplotlib, Linear Algebra, Data Visualization, NumPy, Image Analysis, Data Science, Deep Learning, Artificial Neural Networks, Pandas (Python Package), Keras (Neural Network Library), Seaborn, Natural Language Processing, Tensorflow, Python Programming, Medical Imaging, Machine Learning Algorithms, Computer Vision, PyTorch (Machine Learning Library), Machine Learning, Artificial Intelligence

      4.2
      Rating, 4.2 out of 5 stars
      ·
      6 reviews

      Beginner · Specialization · 3 - 6 Months

    • Status: New
      New
      Status: Free Trial
      Free Trial
      I

      Indian Institute of Science

      Sensors and Systems for Biomedical Applications

      Skills you'll gain: ISO 13485 Standard, Medical Equipment and Technology, Health Technology, Regulatory Compliance, Chemical and Biomedical Engineering, Precision Medicine, Emerging Technologies, Medical Imaging, Laboratory Equipment, Electronics, AI Personalization, Neurology, Oncology, Physics

      Intermediate · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      D

      DeepLearning.AI

      AI for Medical Diagnosis

      Skills you'll gain: Image Analysis, Data Processing, Computer Vision, Applied Machine Learning, Statistical Methods, Keras (Neural Network Library), Data Validation, Medical Imaging, Magnetic Resonance Imaging, Radiology, Deep Learning, Statistics, Tensorflow, Probability & Statistics, Machine Learning Methods, Predictive Modeling, Artificial Neural Networks, Artificial Intelligence, Machine Learning Algorithms, Machine Learning

      4.7
      Rating, 4.7 out of 5 stars
      ·
      2K reviews

      Intermediate · Course · 1 - 4 Weeks

    Searches related to artificial intelligence

    artificial intelligence essentials
    artificial intelligence ethics
    artificial intelligence free
    artificial intelligence fundamentals
    artificial intelligence specialization
    artificial intelligence (ai)
    artificial intelligence development
    artificial intelligence in marketing
    12

    In summary, here are 10 of our most popular artificial intelligence courses

    • AI for Mechanical Engineers: University of Michigan
    • Introduction to Generative AI in Healthcare : Coursera Instructor Network
    • Generative AI for Healthcare Students and Professionals: University of Glasgow
    • Trustworthy AI for Healthcare Management: Politecnico di Milano
    • Artificial Intelligence for Breast Cancer Detection: Johns Hopkins University
    • Computer Vision for Engineering and Science: MathWorks
    • First Principles of Computer Vision: Columbia University
    • Deep Learning for Computer Vision: MathWorks
    • Introduction to Machine Learning: Duke University
    • Deep Learning with Real-World Projects: Packt

    Why Learn Artificial Intelligence?

    Artificial intelligence (AI) is the field of developing systems that can perform tasks typically requiring human intelligence—like recognizing patterns, making decisions, and learning from data. It’s driving innovation across industries, from healthcare and finance to robotics and software development. Learning AI can help you understand emerging technologies and contribute to solutions that shape the future.

    Frequently Asked Questions about Artificial Intelligence

    Start by considering how you want to apply AI—whether you're aiming to build foundational knowledge, develop models, or explore applied uses like chatbots or computer vision.

    • For foundational AI theory and applications, start with AI For Everyone by Andrew Ng (no coding required).
    • For hands-on model development and machine learning, explore the Machine Learning Specialization also by Andrew Ng.
    • Interested in building with AI tools? Consider Generative AI with Large Language Models from DeepLearning.AI and AWS.‎

    If you're new to AI or don't have a technical background, these beginner-friendly courses provide a solid starting point:

    • AI For Everyone – A non-technical overview of AI.
    • Introduction to Artificial Intelligence (AI) by IBM – Offers beginner-level instruction on AI concepts and practical use cases.
    • Fundamentals of Reinforcement Learning by the University of Alberta is accessible to those new to AI, with some math background. ‎
    • A course focuses on a specific topic. For example, AI For Everyone introduces AI without requiring coding skills.
    • A Specialization is a sequence of courses that build deeper expertise, like the AI Foundations for Everyone Specialization from IBM.
    • A Professional Certificate prepares you for specific job roles with portfolio-building and career insights—like the IBM AI Engineering Certificate.‎

    Take our short quiz to find the artificial intelligence course that best aligns with your interests and goals. Whether you're exploring foundational concepts, machine learning, or tools like chatbots and generative AI, the quiz can help guide your next step. Start the quiz.

    Prefer to explore options interactively? Use ChatGPT to compare top-rated courses based on your preferences.‎

    Yes. You can start learning artificial intelligence on Coursera for free in two ways:

    • Preview the first module of many artificial intelligence courses at no cost. This includes video lessons, readings, graded assignments, and Coursera Coach (where available).
    • Start a 7-day free trial for Specializations or Coursera Plus. This gives you full access to all course content across eligible programs within the timeframe of your trial.

    If you want to keep learning, earn a certificate in artificial intelligence, or unlock full course access after the preview or trial, you can upgrade or apply for financial aid.‎

    AI courses cover a range of topics, including algorithms, supervised and unsupervised learning, deep learning, and how AI is used in fields like healthcare, finance, and robotics. Some courses also introduce tools like Python, TensorFlow, and PyTorch.‎

    Not necessarily. Some beginner AI courses are designed to help you learn the basics without prior experience. However, for more advanced topics, a background in Python and math (especially linear algebra and probability) can be helpful.‎

    AI course content often covers machine learning, deep learning, neural networks, natural language processing, and computer vision. It may also include hands-on projects using tools like Python and TensorFlow. Courses like AI For Everyone by Andrew Ng on Coursera offer an accessible starting point, while more advanced programs dive deeper into algorithms and model training.‎

    AI design is the process of creating user experiences and systems that incorporate artificial intelligence. It includes designing for adaptability, transparency, and user trust in AI-driven products. Courses like Foundations in Human-Centered AI from Northeastern University on Coursera teach how to build intuitive, ethical, and effective AI-powered experiences.‎

    This FAQ content has been made available for informational purposes only. Learners are advised to conduct additional research to ensure that courses and other credentials pursued meet their personal, professional, and financial goals.

    Other topics to explore

    Arts and Humanities
    338 courses
    Business
    1095 courses
    Computer Science
    668 courses
    Data Science
    425 courses
    Information Technology
    145 courses
    Health
    471 courses
    Math and Logic
    70 courses
    Personal Development
    137 courses
    Physical Science and Engineering
    413 courses
    Social Sciences
    401 courses
    Language Learning
    150 courses

    Coursera Footer

    Technical Skills

    • ChatGPT
    • Coding
    • Computer Science
    • Cybersecurity
    • DevOps
    • Ethical Hacking
    • Generative AI
    • Java Programming
    • Python
    • Web Development

    Analytical Skills

    • Artificial Intelligence
    • Big Data
    • Business Analysis
    • Data Analytics
    • Data Science
    • Financial Modeling
    • Machine Learning
    • Microsoft Excel
    • Microsoft Power BI
    • SQL

    Business Skills

    • Accounting
    • Digital Marketing
    • E-commerce
    • Finance
    • Google
    • Graphic Design
    • IBM
    • Marketing
    • Project Management
    • Social Media Marketing

    Career Resources

    • Essential IT Certifications
    • High-Income Skills to Learn
    • How to Get a PMP Certification
    • How to Learn Artificial Intelligence
    • Popular Cybersecurity Certifications
    • Popular Data Analytics Certifications
    • What Does a Data Analyst Do?
    • Career Development Resources
    • Career Aptitude Test
    • Share your Coursera Learning Story

    Coursera

    • About
    • What We Offer
    • Leadership
    • Careers
    • Catalog
    • Coursera Plus
    • Professional Certificates
    • MasterTrack® Certificates
    • Degrees
    • For Enterprise
    • For Government
    • For Campus
    • Become a Partner
    • Social Impact
    • Free Courses
    • ECTS Credit Recommendations

    Community

    • Learners
    • Partners
    • Beta Testers
    • Blog
    • The Coursera Podcast
    • Tech Blog

    More

    • Press
    • Investors
    • Terms
    • Privacy
    • Help
    • Accessibility
    • Contact
    • Articles
    • Directory
    • Affiliates
    • Modern Slavery Statement
    • Do Not Sell/Share
    Learn Anywhere
    Download on the App Store
    Get it on Google Play
    Logo of Certified B Corporation
    © 2025 Coursera Inc. All rights reserved.
    • Coursera Facebook
    • Coursera Linkedin
    • Coursera Twitter
    • Coursera YouTube
    • Coursera Instagram
    • Coursera TikTok