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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
    I

    IBM

    Introduction to Artificial Intelligence (AI)

    Skills you'll gain: Responsible AI, Generative AI, Natural Language Processing, Business Intelligence, Content Creation, Risk Mitigation

    4.7
    Rating, 4.7 out of 5 stars
    ·
    21K reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    I

    IBM

    Generative AI: Prompt Engineering Basics

    Skills you'll gain: Prompt Engineering, Prompt Patterns, Generative AI, ChatGPT, Image Quality

    4.8
    Rating, 4.8 out of 5 stars
    ·
    6.1K reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: New
    New
    Status: Preview
    Preview
    A

    AI CERTs

    AI For All

    Skills you'll gain: Responsible AI, AI Product Strategy, ChatGPT, Artificial Intelligence and Machine Learning (AI/ML), Business Process Automation, Technology Strategies, AI Personalization, Emerging Technologies, Business Strategy, Ethical Standards And Conduct, Innovation, Business Planning, Computer Science, Workforce Development, Organizational Strategy, Creative Problem-Solving, Natural Language Processing, Analysis

    Beginner · Course · 1 - 3 Months

  • Status: Preview
    Preview
    D

    DeepLearning.AI

    AI For Everyone

    Skills you'll gain: AI Product Strategy, Responsible AI, Data Ethics, Artificial Intelligence, Machine Learning, Strategic Thinking, Data Science, Deep Learning, Artificial Neural Networks

    4.8
    Rating, 4.8 out of 5 stars
    ·
    50K reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: New
    New
    Status: Free Trial
    Free Trial
    G

    Google

    Introduction to AI

    Skills you'll gain: Generative AI, AI Product Strategy, Responsible AI, Machine Learning, Innovation, Critical Thinking

    4.8
    Rating, 4.8 out of 5 stars
    ·
    6.5K reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    I

    Illinois Tech

    Artificial Intelligence

    Skills you'll gain: Responsible AI, Data Ethics, Artificial Intelligence, Generative AI, Machine Learning, Artificial Intelligence and Machine Learning (AI/ML), Applied Machine Learning, OpenAI, Anthropic Claude, Supervised Learning, Business Intelligence, Business Ethics, Technology Strategies, Human Machine Interfaces, Emerging Technologies, Deep Learning

    4.5
    Rating, 4.5 out of 5 stars
    ·
    37 reviews

    Beginner · Course · 1 - 3 Months

What brings you to Coursera today?

  • Status: Free Trial
    Free Trial
    U

    University of Pennsylvania

    AI For Business

    Skills you'll gain: AI Personalization, Machine Learning Methods, Fraud detection, Generative AI, Responsible AI, Data Ethics, HR Tech, AI Product Strategy, Data Governance, Big Data, Machine Learning Algorithms, Data Security, Governance, Business Strategy, Human Resources, Credit Risk, Business Transformation, Artificial Intelligence, Machine Learning, Analytics

    4.7
    Rating, 4.7 out of 5 stars
    ·
    1.6K reviews

    Beginner · Specialization · 3 - 6 Months

  • Status: Free
    Free
    A

    Amazon Web Services

    Exploring Artificial Intelligence Use Cases and Applications

    Skills you'll gain: Generative AI, Business Metrics, Machine Learning Methods, Applied Machine Learning, Artificial Intelligence and Machine Learning (AI/ML), Machine Learning, Machine Learning Algorithms, Artificial Intelligence, Key Performance Indicators (KPIs), Performance Measurement, Performance Metric, AI Product Strategy, Business Solutions

    4.4
    Rating, 4.4 out of 5 stars
    ·
    166 reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    D
    S

    Multiple educators

    Machine Learning

    Skills you'll gain: Unsupervised Learning, Supervised Learning, Classification And Regression Tree (CART), Artificial Intelligence and Machine Learning (AI/ML), Applied Machine Learning, Machine Learning, Jupyter, Data Ethics, Decision Tree Learning, Tensorflow, Responsible AI, Scikit Learn (Machine Learning Library), NumPy, Predictive Modeling, Deep Learning, Artificial Intelligence, Reinforcement Learning, Random Forest Algorithm, Feature Engineering, Python Programming

    4.9
    Rating, 4.9 out of 5 stars
    ·
    36K reviews

    Beginner · Specialization · 1 - 3 Months

  • Status: Preview
    Preview
    U

    University of Illinois Urbana-Champaign

    Introduction to Artificial Intelligence

    Skills you'll gain: Generative AI, Deep Learning, Responsible AI, Artificial Intelligence, Machine Learning, Unsupervised Learning, Artificial Neural Networks, AI Product Strategy, Regression Analysis, Business Ethics, Computer Vision, Governance

    Build toward a degree

    4.6
    Rating, 4.6 out of 5 stars
    ·
    28 reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: New
    New
    Status: Free Trial
    Free Trial
    G

    Google

    Google AI Essentials

    Skills you'll gain: Prompt Engineering, Prompt Patterns, AI Product Strategy, Generative AI, Large Language Modeling, LLM Application, Process Optimization, Productivity Software, Workforce Development, Market Opportunities, Data Strategy, Emerging Technologies, Organizational Strategy, Data Security, Sociology, Critical Thinking, Human Computer Interaction, Analysis, Innovation

    4.8
    Rating, 4.8 out of 5 stars
    ·
    12K reviews

    Beginner · Specialization · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    P

    Politecnico di Milano

    Artificial Intelligence: an Overview

    Skills you'll gain: Unsupervised Learning, Supervised Learning, Machine Learning Algorithms, Machine Learning, Intellectual Property, Responsible AI, Legal Risk, Reinforcement Learning, Artificial Intelligence, General Data Protection Regulation (GDPR), Dimensionality Reduction, Cloud Platforms, Deep Learning, Hardware Architecture, Law, Regulation, and Compliance, Regulation and Legal Compliance, Information Privacy, Information Technology, Social Studies, Artificial Neural Networks

    4.6
    Rating, 4.6 out of 5 stars
    ·
    687 reviews

    Beginner · Specialization · 3 - 6 Months

AI learners also search

advanced artificial intelligence
artificial intelligence projects
machine learning
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intelligence
agentic ai
reinforcement learning
beginner artificial intelligence
1234…137

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

  • Introduction to Artificial Intelligence (AI): IBM
  • Generative AI: Prompt Engineering Basics: IBM
  • AI For All: AI CERTs
  • AI For Everyone: DeepLearning.AI
  • Introduction to AI: Google
  • Artificial Intelligence: Illinois Tech
  • AI For Business: University of Pennsylvania
  • Exploring Artificial Intelligence Use Cases and Applications: Amazon Web Services
  • Machine Learning: DeepLearning.AI
  • Introduction to Artificial Intelligence: University of Illinois Urbana-Champaign

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. ‎
  • 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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