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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: 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: Free Trial
    Free Trial
    S

    Stanford University

    AI in Healthcare Capstone

    Skills you'll gain: Health Informatics, Clinical Data Management, Healthcare Ethics, Responsible AI, Data Collection, Applied Machine Learning, Application Deployment, Health Care Procedure and Regulation, Data Ethics, Machine Learning, Patient-centered Care, Artificial Intelligence, Healthcare Industry Knowledge, Performance Tuning, Feature Engineering, Risk Modeling, Data Validation, Analysis

    4.7
    Rating, 4.7 out of 5 stars
    ·
    289 reviews

    Mixed · Course · 1 - 3 Months

  • Status: Preview
    Preview
    J

    Johns Hopkins University

    Introduction to Using Generative AI in Public Health

    Skills you'll gain: Prompt Engineering, Large Language Modeling, ChatGPT, Generative AI, Responsible AI, Healthcare Ethics, Public Health, Data Ethics, Public Health and Disease Prevention, Health Policy, Health Informatics, Artificial Intelligence, Microsoft Copilot, Emerging Technologies

    4.6
    Rating, 4.6 out of 5 stars
    ·
    9 reviews

    Mixed · Course · 1 - 4 Weeks

  • Status: Preview
    Preview
    Y

    Yale University

    Introduction to Psychology

    Skills you'll gain: Psychology, Child Development, Psychiatry, Mental Health, Human Development, Human Learning, Social Sciences, Behavioral Health, Sociology, Neurology, Critical Thinking, Scientific Methods, Problem Solving

    4.9
    Rating, 4.9 out of 5 stars
    ·
    32K reviews

    Beginner · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    I

    Imperial College London

    Digital Health

    Skills you'll gain: Health Technology, Data Visualization Software, Telehealth, Agile Methodology, Interactive Data Visualization, Patient Evaluation, Health Disparities, Health Informatics, Health Care, Health Systems, Electronic Medical Record, Interoperability, Public Health, Health Policy, Tableau Software, Information Management, User Centered Design, Digital Transformation, Technology Strategies, Medical Privacy

    4.5
    Rating, 4.5 out of 5 stars
    ·
    319 reviews

    Intermediate · Specialization · 1 - 3 Months

What brings you to Coursera today?

  • Status: New
    New
    Status: Free Trial
    Free Trial
    U

    University of Colorado System

    Foundation and Potential of AI in Healthcare

    Skills you'll gain: Health Systems, Digital Transformation, Healthcare Industry Knowledge, Health Technology, Health Care, Health Informatics, Health Equity, Artificial Intelligence, Chronic Diseases, Responsible AI, Machine Learning, Predictive Modeling

    4.1
    Rating, 4.1 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: Responsible AI, Data Ethics, Artificial Intelligence, Healthcare Industry Knowledge, Ethical Standards And Conduct, Health Assessment, Clinical Assessment, Health Informatics, Verification And Validation, Health Technology, Scenario Testing

    4.6
    Rating, 4.6 out of 5 stars
    ·
    66 reviews

    Beginner · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    C

    Coursera Instructor Network

    GenAI for Healthcare Automation

    Skills you'll gain: Responsible AI, Generative AI Agents, Data Ethics, Healthcare Industry Knowledge, Automation, Clinical Informatics, Health Care Administration, Health Informatics, Artificial Intelligence, Predictive Modeling, Innovation, Health Technology, System Implementation

    Beginner · Course · 1 - 4 Weeks

  • Status: Preview
    Preview
    N

    Northeastern University

    Machine Learning in Healthcare: Fundamentals & Applications

    Skills you'll gain: Data Mining, Health Informatics, Big Data, Applied Machine Learning, Predictive Modeling, Machine Learning, Artificial Intelligence, Random Forest Algorithm, Clinical Practices, Responsible AI, Deep Learning, Health Care, Unsupervised Learning, Algorithms, Data Cleansing, Artificial Neural Networks

    4.6
    Rating, 4.6 out of 5 stars
    ·
    8 reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: Preview
    Preview
    I

    Indian School of Business

    A Life of Happiness and Fulfillment

    Skills you'll gain: Positivity, Resilience, Psychology, Personal Development, Decision Making, Self-Awareness, Creativity, Emotional Intelligence, Curiosity, Mindfulness

    4.8
    Rating, 4.8 out of 5 stars
    ·
    5.9K reviews

    Mixed · Course · 1 - 3 Months

  • Status: New
    New
    Status: Free Trial
    Free Trial
    U

    University of Colorado System

    AI for Healthcare Systems

    Skills you'll gain: Responsible AI, Agentic systems, Data Ethics, Machine Learning Algorithms, Data Governance, Health Systems, Health Informatics, Artificial Intelligence, Analytics, Digital Transformation, Healthcare Industry Knowledge, Healthcare Ethics, Artificial Intelligence and Machine Learning (AI/ML), Human Factors (Security), Generative AI Agents, Machine Learning, Health Technology, Health Information Management, Information Technology, Information Systems

    4.2
    Rating, 4.2 out of 5 stars
    ·
    9 reviews

    Beginner · Specialization · 3 - 6 Months

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

  • Introduction to Generative AI in Healthcare : Coursera Instructor Network
  • Generative AI for Healthcare Students and Professionals: University of Glasgow
  • AI in Healthcare Capstone: Stanford University
  • Introduction to Using Generative AI in Public Health: Johns Hopkins University
  • Introduction to Psychology : Yale University
  • Digital Health: Imperial College London
  • Foundation and Potential of AI in Healthcare : University of Colorado System
  • Trustworthy AI for Healthcare Management: Politecnico di Milano
  • GenAI for Healthcare Automation: Coursera Instructor Network
  • Machine Learning in Healthcare: Fundamentals & Applications: Northeastern University

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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