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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.

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Find the best AI course for your goals

  • Status: Free Trial
    Free Trial
    C

    Coursera Instructor Network

    Introduction to Generative AI in Healthcare

    Skills you'll gain: Generative AI, Responsible AI, Data Ethics, Health Care Procedure and Regulation, Healthcare Industry Knowledge, Medical Privacy, Artificial Intelligence, Healthcare Ethics, Health Informatics, Treatment Planning, Medical Imaging, Natural Language Processing, Decision Support Systems

    4.2
    Rating, 4.2 out of 5 stars
    ·
    34 reviews

    Beginner · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    U

    University of Michigan

    AI for Mechanical Engineers

    Skills you'll gain: Machine Learning Methods, Artificial Intelligence and Machine Learning (AI/ML), Precision Medicine, Machine Learning Software, Generative AI, Machine Learning, Artificial Intelligence, Machine Learning Algorithms, AI Product Strategy, Energy and Utilities, Image Analysis, Technical Design, Deep Learning, Computer Vision, Medical Imaging, Statistical Machine Learning, Reinforcement Learning, Electric Power Systems, Bioinformatics, Data-Driven Decision-Making

    4.3
    Rating, 4.3 out of 5 stars
    ·
    109 reviews

    Intermediate · Specialization · 1 - 3 Months

  • Status: Preview
    Preview
    U

    University of Glasgow

    Generative AI for Healthcare Students and Professionals

    Skills you'll gain: Responsible AI, Data Ethics, Healthcare Industry Knowledge, Predictive Modeling, Healthcare Ethics, Generative AI, Prompt Engineering, Artificial Intelligence, Deep Learning, Health Care, Clinical Informatics, Telehealth, Image Analysis, Health Informatics, Medical Imaging, Augmented and Virtual Reality (AR/VR), Radiology

    4.8
    Rating, 4.8 out of 5 stars
    ·
    15 reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: Preview
    Preview
    J

    Johns Hopkins University

    Artificial Intelligence for Breast Cancer Detection

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

    4.6
    Rating, 4.6 out of 5 stars
    ·
    75 reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    M

    MathWorks

    MathWorks Computer Vision Engineer

    Skills you'll gain: Computer Vision, Image Analysis, Anomaly Detection, Applied Machine Learning, Deep Learning, Image Quality, Artificial Neural Networks, Unsupervised Learning, Matlab, Application Deployment, PyTorch (Machine Learning Library), Machine Learning, Motion Graphics, Supervised Learning, Data Visualization, Automation, Predictive Modeling, Artificial Intelligence and Machine Learning (AI/ML), Machine Learning Methods, Medical Imaging

    4.7
    Rating, 4.7 out of 5 stars
    ·
    332 reviews

    Beginner · Professional Certificate · 3 - 6 Months

  • Status: Preview
    Preview
    D

    Duke University

    Introduction to Machine Learning

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

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

    Intermediate · Course · 1 - 3 Months

What brings you to Coursera today?

  • Status: New
    New
    Status: Preview
    Preview
    S

    Starweaver

    AI Innovations with Open Tools in Healthcare Processes

    Skills you'll gain: General Data Protection Regulation (GDPR), Health Insurance Portability And Accountability Act (HIPAA) Compliance, Open Source Technology, Patient Communication, Data Ethics, Responsible AI, Clinical Informatics, Healthcare Ethics, Decision Support Systems, Health Care Procedure and Regulation, ChatGPT, Health Informatics, Healthcare Industry Knowledge, Artificial Intelligence, Health Technology, AI Personalization, Applied Machine Learning, Medical Imaging, Automation, Medical Coding

    Intermediate · Course · 1 - 3 Months

  • Status: New
    New
    Status: Preview
    Preview
    A

    AI CERTs

    AI for Healthcare

    Skills you'll gain: Medical Imaging, Healthcare Ethics, Precision Medicine, Health Care Procedure and Regulation, Health Informatics, Predictive Analytics, AI Personalization, Machine Learning, Natural Language Processing, Healthcare Industry Knowledge, Clinical Monitoring, Artificial Intelligence and Machine Learning (AI/ML), Diagnostic Radiology, Patient Communication, Generative AI, Generative AI Agents, Computer Science, Medical Support, Business Strategy, Business

    Intermediate · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    C

    Columbia University

    First Principles of Computer Vision

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

    4.7
    Rating, 4.7 out of 5 stars
    ·
    231 reviews

    Beginner · Specialization · 3 - 6 Months

  • Status: Free Trial
    Free Trial
    D

    DeepLearning.AI

    AI for Medical Diagnosis

    Skills you'll gain: Image Analysis, Diagnostic Radiology, Predictive Modeling, Data Processing, Artificial Intelligence, Tensorflow, Applied Machine Learning, Medical Imaging, Keras (Neural Network Library), Computer Vision, Deep Learning, Natural Language Processing, Machine Learning, Artificial Neural Networks, Magnetic Resonance Imaging, Probability & Statistics, X-Ray Computed Tomography

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

    Intermediate · Course · 1 - 4 Weeks

  • C

    Coursera Project Network

    Detecting COVID-19 with Chest X-Ray using PyTorch

    Skills you'll gain: PyTorch (Machine Learning Library), Image Analysis, Deep Learning, Artificial Neural Networks, Medical Imaging, Computer Vision, Machine Learning, X-Ray Computed Tomography

    4.5
    Rating, 4.5 out of 5 stars
    ·
    339 reviews

    Intermediate · Guided Project · Less Than 2 Hours

  • Status: Preview
    Preview
    M

    MathWorks

    Medical Image Processing

    Skills you'll gain: Medical Imaging, Magnetic Resonance Imaging, Image Analysis, X-Ray Computed Tomography, Data Import/Export, Biomedical Engineering, Matlab, Computer Vision, Deep Learning, Software Visualization, Machine Learning

    4.9
    Rating, 4.9 out of 5 stars
    ·
    22 reviews

    Beginner · Course · 1 - 4 Weeks

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12

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

  • Introduction to Generative AI in Healthcare : Coursera Instructor Network
  • AI for Mechanical Engineers: University of Michigan
  • Generative AI for Healthcare Students and Professionals: University of Glasgow
  • Artificial Intelligence for Breast Cancer Detection: Johns Hopkins University
  • MathWorks Computer Vision Engineer: MathWorks
  • Introduction to Machine Learning: Duke University
  • AI Innovations with Open Tools in Healthcare Processes: Starweaver
  • AI for Healthcare: AI CERTs
  • First Principles of Computer Vision: Columbia University
  • AI for Medical Diagnosis: DeepLearning.AI

Frequently Asked Questions about Artificial Intelligence

Browse the AI courses below—popular starting points on Coursera.

  • Introduction to Artificial Intelligence (AI): IBM
  • Generative AI: Prompt Engineering Basics: IBM
  • Fundamentals of Machine Learning and Artificial Intelligence: AWS
  • Introduction to AI: Google
  • AI For Everyone: DeepLearning.AI
  • Exploring Artificial Intelligence Use Cases and Applications: AWS‎

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. ‎

The Generative AI: Introduction and Applications course by IBM spans 8 hours and covers deeper aspects of:

  • Machine learning
  • Virtual environments
  • Responsible AI

In contrast, the Introduction to Generative AI course by Google Cloud can be completed in 1 hour, focusing more on:

  • Artificial intelligence
  • Deep learning
  • Google Cloud Platform

Both courses address the core topics of generative AI but differ markedly in their depth and specialization. Choose based on your preference for credential recognition and specific skills needed for your career goals."‎

  • 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.

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