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    • Artificial Intelligence

    Artificial Intelligence Courses Online

    Master artificial intelligence for advanced problem-solving. Learn about machine learning, neural networks, and AI applications.

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    Explore the AI Course Catalog

    • I

      IBM

      Introduction to Artificial Intelligence (AI)

      Skills you'll gain: Artificial Intelligence, Generative AI, Data Ethics, OpenAI, Artificial Intelligence and Machine Learning (AI/ML), Deep Learning, Artificial Neural Networks, ChatGPT, Governance, Machine Learning, Business Transformation, Ethical Standards And Conduct, Computer Vision, Emerging Technologies, Natural Language Processing

      4.7
      Rating, 4.7 out of 5 stars
      ·
      19K reviews

      Beginner · Course · 1 - 4 Weeks

    • D
      S

      Multiple educators

      Machine Learning

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

      Build toward a degree

      4.9
      Rating, 4.9 out of 5 stars
      ·
      33K reviews

      Beginner · Specialization · 1 - 3 Months

    • Status: New
      New
      U

      University of Pennsylvania

      AI in Education: Leveraging ChatGPT for Teaching

      Skills you'll gain: Data Ethics, ChatGPT, Generative AI, OpenAI, Artificial Intelligence, Prototyping, Scenario Testing

      4.7
      Rating, 4.7 out of 5 stars
      ·
      138 reviews

      Beginner · Course · 1 - 4 Weeks

    • Status: AI skills
      AI skills
      I

      IBM

      IBM AI Product Manager

      Skills you'll gain: Generative AI, New Product Development, Product Management, Product Lifecycle Management, Product Development, Innovation, Product Roadmaps, ChatGPT, Product Planning, Commercialization, Product Strategy, Artificial Intelligence, Project Management Life Cycle, Data Ethics, OpenAI, Product Marketing, Stakeholder Management, Competitive Analysis, Product Testing, Artificial Intelligence and Machine Learning (AI/ML)

      4.7
      Rating, 4.7 out of 5 stars
      ·
      25K reviews

      Beginner · Professional Certificate · 3 - 6 Months

    • U

      University of Pennsylvania

      AI For Business

      Skills you'll gain: Generative AI, Data Ethics, HR Tech, Data Governance, Big Data, Machine Learning, Data Security, Governance, Business Strategy, Human Resources, Organizational Strategy, Credit Risk, Business Transformation, Risk Management, Tensorflow, Personalized Service, Digital Transformation, Data-Driven Decision-Making, Artificial Intelligence and Machine Learning (AI/ML), Artificial Intelligence

      4.7
      Rating, 4.7 out of 5 stars
      ·
      1.3K reviews

      Beginner · Specialization · 3 - 6 Months

    • I

      IBM

      IBM AI Engineering

      Skills you'll gain: PyTorch (Machine Learning Library), Supervised Learning, Feature Engineering, Generative AI, Keras (Neural Network Library), Deep Learning, Jupyter, Natural Language Processing, Reinforcement Learning, Unsupervised Learning, Scikit Learn (Machine Learning Library), Machine Learning Algorithms, Data Manipulation, Tensorflow, Python Programming, Verification And Validation, Applied Machine Learning, ChatGPT, Artificial Neural Networks, Statistical Machine Learning

      Build toward a degree

      4.6
      Rating, 4.6 out of 5 stars
      ·
      20K reviews

      Intermediate · Professional Certificate · 3 - 6 Months

    What brings you to Coursera today?

    • I

      IBM

      Generative AI: Prompt Engineering Basics

      Skills you'll gain: ChatGPT, Generative AI, IBM Cloud, Software Development Tools, Image Analysis, Technical Communication, Natural Language Processing

      4.8
      Rating, 4.8 out of 5 stars
      ·
      4.2K reviews

      Beginner · Course · 1 - 4 Weeks

    • I

      IBM

      AI Foundations for Everyone

      Skills you'll gain: ChatGPT, Generative AI, Artificial Intelligence, Data Ethics, OpenAI, Artificial Intelligence and Machine Learning (AI/ML), IBM Cloud, Private Cloud, Data Loss Prevention, Deep Learning, WordPress, Artificial Neural Networks, Cloud Services, Application Deployment, Governance, Machine Learning, Business Transformation, Ethical Standards And Conduct, Software Development Tools, Image Analysis

      4.7
      Rating, 4.7 out of 5 stars
      ·
      26K reviews

      Beginner · Specialization · 3 - 6 Months

    • D

      DeepLearning.AI

      AI For Everyone

      Skills you'll gain: Data Ethics, Market Opportunities, Artificial Intelligence and Machine Learning (AI/ML), Artificial Intelligence, Team Building, Machine Learning, Strategic Thinking, Generative AI, Data Science, Deep Learning, Business Ethics, Artificial Neural Networks, Business Transformation

      4.8
      Rating, 4.8 out of 5 stars
      ·
      47K reviews

      Beginner · Course · 1 - 4 Weeks

    • I

      IBM

      IBM AI Developer

      Skills you'll gain: Generative AI, Software Development Life Cycle, Unit Testing, ChatGPT, HTML and CSS, Development Environment, Web Design and Development, Jupyter, Hypertext Markup Language (HTML), Software Engineering, Artificial Intelligence, Cascading Style Sheets (CSS), Web Development, Data Ethics, Application Deployment, Web Applications, Automation, Interviewing Skills, CI/CD, Professional Networking

      Build toward a degree

      4.6
      Rating, 4.6 out of 5 stars
      ·
      68K reviews

      Beginner · Professional Certificate · 3 - 6 Months

    • Status: Free
      Free
      A

      Amazon Web Services

      Fundamentals of Machine Learning and Artificial Intelligence

      Skills you'll gain: Artificial Intelligence and Machine Learning (AI/ML), Generative AI, Deep Learning, Artificial Intelligence, Amazon Web Services, Applied Machine Learning, Machine Learning, Digital Transformation

      4.5
      Rating, 4.5 out of 5 stars
      ·
      386 reviews

      Mixed · Course · 1 - 4 Weeks

    • Status: New
      New
      M

      Microsoft

      Microsoft AI & ML Engineering

      Skills you'll gain: Unsupervised Learning, Generative AI, Data Management, Natural Language Processing, MLOps (Machine Learning Operations), Supervised Learning, Microsoft Azure, Deep Learning, Artificial Intelligence and Machine Learning (AI/ML), Infrastructure Architecture, Data Infrastructure, Applied Machine Learning, Reinforcement Learning, Data Ethics, Artificial Intelligence, Test Case, OpenAI, Human Computer Interaction, Performance Testing, Application Deployment

      4.6
      Rating, 4.6 out of 5 stars
      ·
      122 reviews

      Intermediate · Professional Certificate · 3 - 6 Months

    Artificial Intelligence learners also search

    Advanced Artificial Intelligence
    Generative AI
    Tensorflow
    Watson
    Artificial Intelligence Projects
    Neural Network
    Langchain
    Midjourney
    1234…242

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

    • Introduction to Artificial Intelligence (AI): IBM
    • Machine Learning: DeepLearning.AI
    • AI in Education: Leveraging ChatGPT for Teaching: University of Pennsylvania
    • IBM AI Product Manager: IBM
    • AI For Business: University of Pennsylvania
    • IBM AI Engineering: IBM
    • Generative AI: Prompt Engineering Basics: IBM
    • AI Foundations for Everyone: IBM
    • AI For Everyone: DeepLearning.AI
    • IBM AI Developer: IBM

    Frequently Asked Questions about Artificial Intelligence

    • Strong mathematics foundation (calculus, linear algebra, probability)
    • Basic programming experience (typically Python)
    • Understanding of basic statistics
    • However, there are also introductory courses specifically designed for beginners with no technical background. These courses focus on AI concepts and applications before diving into technical implementation.‎
    • Broader coverage of intelligence simulation (natural language processing, computer vision, robotics)
    • Focus on decision-making and reasoning systems
    • Coverage of symbolic AI and knowledge representation
    • Ethics and philosophical implications of AI
    • Machine learning courses focus more specifically on algorithms that learn from data. Many learners find it beneficial to start with machine learning before moving to broader AI topics.‎
    • Building and deploying AI models
    • Working with popular AI frameworks (TensorFlow, PyTorch)
    • Implementing natural language processing systems
    • Developing computer vision applications
    • Creating autonomous decision-making systems
    • Ethical AI development and deployment
    • Projects are designed to mirror real-world scenarios you'll encounter in AI roles.‎

    AI expertise opens doors to various roles:

    • AI Engineer/Developer
    • Machine Learning Engineer
    • Natural Language Processing (NLP) Specialist
    • Computer Vision Engineer
    • AI Research Scientist
    • AI Ethics Consultant
    • AI Product Manager
    • The field continues to grow with new specializations emerging regularly. Many courses include guidance on career paths and job preparation. Use this decision tree guide to explore AI career paths.‎

    Yes, Coursera offers a variety of free courses across many topics, including artificial intelligence. While you can access most course materials for free by auditing the courses, this does not include graded assignments or a completion certificate. For those looking to obtain a certificate to showcase their learning or enhance their professional profile, Coursera provides the option to purchase the course. Additionally, Coursera offers free trials or financial aid to learners who qualify, making certifications more accessible to everyone.‎

    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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