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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: Large Language Modeling, Artificial Intelligence, Generative AI, Data Ethics, Artificial Intelligence and Machine Learning (AI/ML), Applied Machine Learning, Deep Learning, Artificial Neural Networks, Governance, Prompt Engineering, Machine Learning, Automation, Digital Transformation, Business Transformation, Business Technologies, 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

      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, Data Science, Needs Assessment, Deep Learning, Business Ethics, Artificial Neural Networks, Engineering Management

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

      Beginner · Course · 1 - 4 Weeks

    • Status: New
      New
      U

      University of Pennsylvania

      AI in Education: Leveraging ChatGPT for Teaching

      Skills you'll gain: Prompt Engineering, Data Ethics, ChatGPT, AI Personalization, Generative AI Agents, Generative AI, Education Software and Technology, Artificial Intelligence, Information Privacy

      4.7
      Rating, 4.7 out of 5 stars
      ·
      139 reviews

      Beginner · Course · 1 - 4 Weeks

    • Unlock Access to 10,000+ courses with a subscription.

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    • D
      S

      Multiple educators

      Machine Learning

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

      Build toward a degree

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

      Beginner · Specialization · 1 - 3 Months

    • I

      IBM

      AI Foundations for Everyone

      Skills you'll gain: Prompt Engineering, ChatGPT, Large Language Modeling, Generative AI, Artificial Intelligence, Data Ethics, Artificial Intelligence and Machine Learning (AI/ML), OpenAI, IBM Cloud, Private Cloud, Data Loss Prevention, Applied Machine Learning, Deep Learning, WordPress, Artificial Neural Networks, Governance, Machine Learning, Generative AI Agents, Automation, Digital Transformation

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

      Beginner · Specialization · 3 - 6 Months

    What brings you to Coursera today?

    • Status: AI skills
      AI skills
      I

      IBM

      IBM AI Product Manager

      Skills you'll gain: Prompt Engineering, Generative AI, New Product Development, Product Management, Product Lifecycle Management, Product Development, Innovation, Product Roadmaps, ChatGPT, Large Language Modeling, Product Planning, Commercialization, Product Strategy, Artificial Intelligence, Project Management Life Cycle, Data Ethics, OpenAI, Stakeholder Engagement, Stakeholder Management, Competitive Analysis

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

      Beginner · Professional Certificate · 3 - 6 Months

    • I

      IBM

      IBM AI Developer

      Skills you'll gain: Generative AI, Prompt Engineering, Large Language Modeling, 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), Software Development Tools, Web Development, Application Deployment, Automation, Interviewing Skills, Professional Networking

      Build toward a degree

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

      Beginner · Professional Certificate · 3 - 6 Months

    • I

      IBM

      Generative AI: Prompt Engineering Basics

      Skills you'll gain: Prompt Engineering, ChatGPT, Generative AI, OpenAI, Large Language Modeling, Image Analysis

      4.8
      Rating, 4.8 out of 5 stars
      ·
      4.3K reviews

      Beginner · Course · 1 - 4 Weeks

    • Status: New
      New
      M

      Microsoft

      Microsoft AI & ML Engineering

      Skills you'll gain: Unsupervised Learning, Generative AI, Large Language Modeling, Data Management, Natural Language Processing, MLOps (Machine Learning Operations), Supervised Learning, Microsoft Azure, Deep Learning, Artificial Intelligence and Machine Learning (AI/ML), Infrastructure Architecture, Cloud Infrastructure, Generative AI Agents, Applied Machine Learning, Reinforcement Learning, Data Ethics, Prompt Engineering, Data Processing, Artificial Intelligence, Application Deployment

      4.6
      Rating, 4.6 out of 5 stars
      ·
      127 reviews

      Intermediate · Professional Certificate · 3 - 6 Months

    • U

      University of Pennsylvania

      AI For Business

      Skills you'll gain: AI Personalization, Generative AI, Data Ethics, HR Tech, Data Governance, Big Data, Machine Learning, Personally Identifiable Information, Data Security, Governance, Business Strategy, Human Resources, Organizational Strategy, Customer Data Management, Credit Risk, Risk Management, Tensorflow, Personalized Service, Data-Driven Decision-Making, People Management

      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: Prompt Engineering, Large Language Modeling, PyTorch (Machine Learning Library), Supervised Learning, Feature Engineering, Generative AI, Keras (Neural Network Library), Deep Learning, Jupyter, Natural Language Processing, Reinforcement Learning, Unsupervised Learning, Generative AI Agents, Scikit Learn (Machine Learning Library), Image Analysis, Data Manipulation, Tensorflow, Python Programming, Verification And Validation, Artificial Neural Networks

      Build toward a degree

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

      Intermediate · Professional Certificate · 3 - 6 Months

    • I

      Illinois Tech

      Artificial Intelligence

      Skills you'll gain: Artificial Intelligence, Generative AI, Machine Learning, Artificial Intelligence and Machine Learning (AI/ML), Applied Machine Learning, OpenAI, Supervised Learning, Business Intelligence, Business, Business Solutions, Automation, Ethical Standards And Conduct, Technology Strategies, Market Intelligence, ChatGPT, Human Machine Interfaces, Emerging Technologies, Deep Learning, Market Data, Productivity Software

      4.6
      Rating, 4.6 out of 5 stars
      ·
      23 reviews

      Beginner · Course · 1 - 3 Months

    What brings you to Coursera today?

      Artificial Intelligence learners also search

      Advanced Artificial Intelligence
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      1234…219

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

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

      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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