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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

  • C

    Coursera Project Network

    Build a website using Wix Artificial Design Intelligence

    Skills you'll gain: Email Automation, AI Personalization, Web Design, Application Design, Customer Service, Web Design and Development, Merchant Services, Setting Appointments, Booking (Sales), Responsive Web Design

    4.2
    Rating, 4.2 out of 5 stars
    ·
    70 reviews

    Beginner · Guided Project · Less Than 2 Hours

  • C

    Coursera Project Network

    Google Ads for Beginners

    Skills you'll gain: Google Ads, Keyword Research, Target Audience, Pay Per Click Advertising, Search Engine Marketing, Advertising Campaigns, Campaign Management, Online Advertising, Digital Advertising, Marketing, Digital Marketing, Return On Investment

    4.4
    Rating, 4.4 out of 5 stars
    ·
    5.8K reviews

    Beginner · Guided Project · Less Than 2 Hours

  • Status: Free
    Free
    D

    Duke University

    GenAI Basics - How LLMs Work

    Skills you'll gain: Large Language Modeling, Generative AI, Machine Learning, Supervised Learning, Artificial Intelligence, Data Science, Data Modeling

    4
    Rating, 4 out of 5 stars
    ·
    29 reviews

    Beginner · Guided Project · Less Than 2 Hours

  • Status: Free
    Free
    M

    Microsoft

    Build a computer vision app with Azure Cognitive Services

    Skills you'll gain: Application Programming Interface (API), Microsoft Azure, Computer Vision, Artificial Intelligence and Machine Learning (AI/ML), User Accounts, Image Analysis, Artificial Intelligence, Cloud Solutions, Cloud Computing, Software Development

    4.5
    Rating, 4.5 out of 5 stars
    ·
    375 reviews

    Intermediate · Guided Project · Less Than 2 Hours

  • C

    Coursera Project Network

    Getting Started in Google Analytics

    Skills you'll gain: Google Analytics, Web Analytics, Content Performance Analysis, Marketing Analytics, Dashboard, User Accounts

    4.4
    Rating, 4.4 out of 5 stars
    ·
    1.5K reviews

    Beginner · Guided Project · Less Than 2 Hours

  • C

    Coursera Project Network

    ChatGPT for Beginners: Using AI for Market Research

    Skills you'll gain: ChatGPT, Market Research, Market Analysis, Marketing, Prompt Engineering, Language Interpretation, Translation, and Studies, Generative AI, Content Marketing

    4.4
    Rating, 4.4 out of 5 stars
    ·
    80 reviews

    Beginner · Guided Project · Less Than 2 Hours

What brings you to Coursera today?

  • C

    Coursera Project Network

    Introduction to Python

    Skills you'll gain: Data Science, Web Development, Python Programming, Programming Principles, Artificial Intelligence, Computer Programming, Application Development, Scientific Visualization, Scripting

    4.5
    Rating, 4.5 out of 5 stars
    ·
    2.2K reviews

    Beginner · Guided Project · Less Than 2 Hours

  • C

    Coursera Project Network

    Machine Learning Pipelines with Azure ML Studio

    Skills you'll gain: Applied Machine Learning, Classification And Regression Tree (CART), Predictive Modeling, Microsoft Azure, No-Code Development, Machine Learning, Feature Engineering, Data Pipelines, Data Science, Data Analysis, Data Processing, Application Deployment

    4.5
    Rating, 4.5 out of 5 stars
    ·
    814 reviews

    Beginner · Guided Project · Less Than 2 Hours

  • C

    Coursera Project Network

    Finding, Sorting, & Filtering Data in Microsoft Excel

    Skills you'll gain: Microsoft Excel, Spreadsheet Software, Data Analysis Expressions (DAX), Business Intelligence, Data Entry

    4.7
    Rating, 4.7 out of 5 stars
    ·
    474 reviews

    Intermediate · Guided Project · Less Than 2 Hours

  • Status: Free
    Free
    C

    Coursera Project Network

    Data Science Coding Challenge: Loan Default Prediction

    Skills you'll gain: Applied Machine Learning, Jupyter, Data Processing, Predictive Modeling, Machine Learning, Predictive Analytics, Data Manipulation, Data Science, Data Analysis, Python Programming

    4.7
    Rating, 4.7 out of 5 stars
    ·
    102 reviews

    Intermediate · Guided Project · Less Than 2 Hours

  • C

    Coursera Project Network

    Build an Automated Landing page using AI from Wix ADI

    Skills you'll gain: Email Automation, Lead Generation, Marketing Automation, Social Media, Social Media Marketing, Copywriting, Web Analytics, Automation

    4.4
    Rating, 4.4 out of 5 stars
    ·
    49 reviews

    Beginner · Guided Project · Less Than 2 Hours

  • C

    Coursera Project Network

    ChatGPT Playground for Beginners: Intro to NLP AI

    Skills you'll gain: Prompt Engineering, ChatGPT, Patient Communication, Generative AI, LLM Application, Health Technology, Artificial Intelligence, Natural Language Processing

    4.6
    Rating, 4.6 out of 5 stars
    ·
    74 reviews

    Beginner · Guided Project · Less Than 2 Hours

AI learners also search

advanced artificial intelligence
artificial intelligence projects
machine learning
ibm ai
intelligence
agentic ai
reinforcement learning
beginner artificial intelligence
1234…16

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

  • Build a website using Wix Artificial Design Intelligence: Coursera Project Network
  • Google Ads for Beginners: Coursera Project Network
  • GenAI Basics - How LLMs Work: Duke University
  • Build a computer vision app with Azure Cognitive Services: Microsoft
  • Getting Started in Google Analytics: Coursera Project Network
  • ChatGPT for Beginners: Using AI for Market Research: Coursera Project Network
  • Introduction to Python: Coursera Project Network
  • Machine Learning Pipelines with Azure ML Studio: Coursera Project Network
  • Finding, Sorting, & Filtering Data in Microsoft Excel: Coursera Project Network
  • Data Science Coding Challenge: Loan Default Prediction: Coursera Project Network

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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