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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: New
    New
    Status: Free Trial
    Free Trial
    I

    IBM

    IBM RAG and Agentic AI

    Skills you'll gain: Prompt Engineering, LangChain, Tool Calling, LangGraph, Agentic systems, Multimodal Prompts, Generative AI, LLM Application, Generative AI Agents, Responsible AI, OpenAI, Artificial Intelligence and Machine Learning (AI/ML), Application Design, Application Development, Large Language Modeling, UI Components, Semantic Web, Databases, Data Storage Technologies, Software Development

    4.6
    Rating, 4.6 out of 5 stars
    ·
    372 reviews

    Advanced · Professional Certificate · 3 - 6 Months

  • Status: Free Trial
    Free Trial
    G

    Google

    Google Business Intelligence

    Skills you'll gain: Data Modeling, Stakeholder Engagement, Database Design, Dashboard, Business Intelligence, Extract, Transform, Load, Tableau Software, Data Warehousing, Data Pipelines, Data Integrity, Data Validation, Data-Driven Decision-Making, Data Visualization, Interviewing Skills, Business Process, Business Analysis, Professional Development, Google Gemini, Data Analysis, SQL

    Build toward a degree

    4.8
    Rating, 4.8 out of 5 stars
    ·
    5.4K reviews

    Advanced · Professional Certificate · 3 - 6 Months

  • Status: Free Trial
    Free Trial
    G

    Google

    Google Advanced Data Analytics

    Skills you'll gain: Data Storytelling, Data Visualization, Data Ethics, Exploratory Data Analysis, Sampling (Statistics), Data Presentation, Data Visualization Software, Feature Engineering, Regression Analysis, Descriptive Statistics, Statistical Hypothesis Testing, Advanced Analytics, Data Analysis, Tableau Software, Data Science, Statistical Analysis, Machine Learning, Object Oriented Programming (OOP), Interviewing Skills, Python Programming

    Build toward a degree

    4.7
    Rating, 4.7 out of 5 stars
    ·
    9.1K reviews

    Advanced · Professional Certificate · 3 - 6 Months

  • Status: Free Trial
    Free Trial
    D

    Duke University

    MLOps | Machine Learning Operations

    Skills you'll gain: MLOps (Machine Learning Operations), Pandas (Python Package), AWS SageMaker, NumPy, Microsoft Azure, Application Deployment, Responsible AI, Data Manipulation, Exploratory Data Analysis, Containerization, Data Pipelines, CI/CD, DevOps, Cloud Computing, Python Programming, Machine Learning, GitHub, Big Data, Data Management, Data Analysis

    4.2
    Rating, 4.2 out of 5 stars
    ·
    518 reviews

    Advanced · Specialization · 3 - 6 Months

  • Status: Free Trial
    Free Trial
    I

    IBM

    IBM AI Enterprise Workflow

    Skills you'll gain: Feature Engineering, Data Ethics, Exploratory Data Analysis, Unsupervised Learning, Data Presentation, Tensorflow, Application Deployment, Dimensionality Reduction, MLOps (Machine Learning Operations), Probability Distribution, Apache Spark, Statistical Hypothesis Testing, Supervised Learning, Data Visualization Software, Data Pipelines, Design Thinking, Unit Testing, Data Science, Machine Learning, Python Programming

    4.4
    Rating, 4.4 out of 5 stars
    ·
    348 reviews

    Advanced · Specialization · 3 - 6 Months

  • Status: Free Trial
    Free Trial
    I

    Imperial College London

    Advanced Creative Thinking and AI: Tools for Success

    Skills you'll gain: Design Thinking, Creative Thinking, Creativity, Brainstorming, Cognitive flexibility, Ideation, Innovation, Artificial Intelligence, Critical Thinking, Sustainable Design, Prototyping

    4.6
    Rating, 4.6 out of 5 stars
    ·
    98 reviews

    Advanced · Course · 1 - 3 Months

What brings you to Coursera today?

  • Status: Free Trial
    Free Trial
    G

    Google Cloud

    Advanced Machine Learning on Google Cloud

    Skills you'll gain: Natural Language Processing, MLOps (Machine Learning Operations), Tensorflow, Large Language Modeling, Reinforcement Learning, Computer Vision, Google Cloud Platform, Keras (Neural Network Library), Systems Design, Image Analysis, AI Personalization, Hybrid Cloud Computing, Applied Machine Learning, Systems Architecture, Performance Tuning, Artificial Intelligence and Machine Learning (AI/ML), Deep Learning, Artificial Neural Networks, Machine Learning, Machine Learning Algorithms

    4.5
    Rating, 4.5 out of 5 stars
    ·
    1.5K reviews

    Advanced · Specialization · 3 - 6 Months

  • Status: Free Trial
    Free Trial
    S

    Stanford University

    Probabilistic Graphical Models

    Skills you'll gain: Bayesian Network, Applied Machine Learning, Graph Theory, Machine Learning Algorithms, Probability Distribution, Network Model, Statistical Modeling, Markov Model, Decision Support Systems, Machine Learning, Probability & Statistics, Network Analysis, Statistical Inference, Sampling (Statistics), Statistical Methods, Unstructured Data, Natural Language Processing, Algorithms, Computational Thinking, Test Data

    4.6
    Rating, 4.6 out of 5 stars
    ·
    1.5K reviews

    Advanced · Specialization · 3 - 6 Months

  • Status: Free Trial
    Free Trial
    I

    IBM

    Generative AI for Mobile App Developers

    Skills you'll gain: Prompt Engineering, Prompt Patterns, Generative AI, ChatGPT, Large Language Modeling, Responsible AI, AI Personalization, Mobile Development, Anthropic Claude, Artificial Intelligence, LLM Application, Software Development Tools, Software Testing, Apple iOS, AI Product Strategy, Test Automation, Software Development, Machine Learning Methods, DevSecOps, Artificial Intelligence and Machine Learning (AI/ML)

    4.7
    Rating, 4.7 out of 5 stars
    ·
    9.6K reviews

    Advanced · Specialization · 1 - 3 Months

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

    IBM

    Capstone Project: Digital Marketing and Growth Hacking

    Skills you'll gain: Digital Advertising, Paid media, Presentations, Social Media Campaigns, Advertising Campaigns, Digital Marketing, Web Analytics, Search Engine Optimization, Content Strategy, LinkedIn, Content Marketing, Social Media Marketing, Marketing Analytics, Target Audience, E-Commerce, Social Media Strategy, Smart Goals, Business Analysis, Market Analysis

    Advanced · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    S

    SkillUp

    Tableau Data Analyst Certification Preparation

    Skills you'll gain: Dashboard, Data Storytelling, Tableau Software, Peer Review, Data Visualization Software, Presentations, Data Visualization, Interactive Data Visualization, Data Cleansing, Business Intelligence, Real Time Data, Data Manipulation, Data Presentation, Data Analysis Expressions (DAX), Transact-SQL, Data Quality, Data Transformation, Data Sharing, Data Integration, Data Analysis

    4.6
    Rating, 4.6 out of 5 stars
    ·
    70 reviews

    Advanced · Specialization · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    E

    ESSEC Business School

    Strategic Business Analytics

    Skills you'll gain: Marketing Analytics, Business Analytics, Forecasting, Peer Review, Statistical Methods, Predictive Analytics, Customer Analysis, Case Studies, Information Technology, Analytical Skills, Digital Transformation, Advanced Analytics, Statistical Analysis, People Analytics, Statistical Programming, Data Storytelling, Business Strategy, Complex Problem Solving, R Programming, Data Analysis

    4.4
    Rating, 4.4 out of 5 stars
    ·
    1.3K reviews

    Advanced · Specialization · 3 - 6 Months

AI learners also search

advanced artificial intelligence
artificial intelligence projects
machine learning
ibm ai
intelligence
agentic ai
reinforcement learning
beginner artificial intelligence
1234…11

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

  • IBM RAG and Agentic AI: IBM
  • Google Business Intelligence: Google
  • Google Advanced Data Analytics: Google
  • MLOps | Machine Learning Operations: Duke University
  • IBM AI Enterprise Workflow: IBM
  • Advanced Creative Thinking and AI: Tools for Success: Imperial College London
  • Advanced Machine Learning on Google Cloud: Google Cloud
  • Probabilistic Graphical Models: Stanford University
  • Generative AI for Mobile App Developers: IBM
  • Capstone Project: Digital Marketing and Growth Hacking: IBM

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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