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    Results for "artificial intelligence"

    • Status: Free Trial
      Free Trial

      IBM

      Introduction to Artificial Intelligence (AI)

      Skills you'll gain: Generative AI Agents, Generative AI, OpenAI, ChatGPT, Business Process Automation, Natural Language Processing

      4.7
      Rating, 4.7 out of 5 stars
      ·
      20K reviews

      Beginner · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial

      IBM

      Generative AI: Prompt Engineering Basics

      Skills you'll gain: Prompt Engineering, ChatGPT, Large Language Modeling, Artificial Intelligence, Technical Writing, Image Analysis

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

      Beginner · Course · 1 - 4 Weeks

    • Status: Preview
      Preview

      DeepLearning.AI

      AI For Everyone

      Skills you'll gain: Artificial Intelligence, Artificial Intelligence and Machine Learning (AI/ML), Generative AI, Technology Strategies, Business Intelligence, Data Ethics, Business Ethics

      4.8
      Rating, 4.8 out of 5 stars
      ·
      49K reviews

      Beginner · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial

      Multiple educators

      Machine Learning

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

      Build toward a degree

      4.9
      Rating, 4.9 out of 5 stars
      ·
      35K reviews

      Beginner · Specialization · 1 - 3 Months

    • Status: Free
      Free

      Amazon Web Services

      Fundamentals of Machine Learning and Artificial Intelligence

      Skills you'll gain: Generative AI, Artificial Intelligence and Machine Learning (AI/ML), Artificial Intelligence, Deep Learning, Machine Learning Algorithms, Machine Learning, Artificial Neural Networks, Data Analysis

      4.5
      Rating, 4.5 out of 5 stars
      ·
      895 reviews

      Mixed · Course · 1 - 4 Weeks

    • Status: New
      New
      Status: Free Trial
      Free Trial

      Google

      Introduction to AI

      Skills you'll gain: Generative AI, Artificial Intelligence and Machine Learning (AI/ML), Machine Learning, Applied Machine Learning, Automation, Human Machine Interfaces, Innovation, Critical Thinking

      4.9
      Rating, 4.9 out of 5 stars
      ·
      2.8K reviews

      Beginner · Course · 1 - 4 Weeks

    What brings you to Coursera today?

    • Status: Free Trial
      Free Trial

      IBM

      IBM AI Developer

      Skills you'll gain: Prompt Engineering, Generative AI, Software Development Life Cycle, Software Architecture, ChatGPT, Web Development Tools, Responsive Web Design, Development Environment, Generative AI Agents, Software Design, Large Language Modeling, Software Engineering, Flask (Web Framework), Software Development Methodologies, Software Design Patterns, Jupyter, Professional Networking, Python Programming, Machine Learning, Data Science

      Build toward a degree

      4.6
      Rating, 4.6 out of 5 stars
      ·
      72K reviews

      Beginner · Professional Certificate · 3 - 6 Months

    • Status: New
      New
      Status: Preview
      Preview

      O.P. Jindal Global University

      Artificial Intelligence

      Skills you'll gain: Artificial Intelligence, Computational Logic, Machine Learning Algorithms, Natural Language Processing, Data Ethics, Computer Science, Machine Learning, Supervised Learning, Algorithms, Unsupervised Learning, Bayesian Statistics, Decision Support Systems, Probability & Statistics

      Build toward a degree

      Mixed · Course · 3 - 6 Months

    • Status: New
      New
      Status: Free Trial
      Free Trial

      Google

      Google AI Essentials

      Skills you'll gain: Prompt Engineering, Generative AI, Large Language Modeling, Artificial Intelligence and Machine Learning (AI/ML), Productivity Software, Workforce Development, Applied Machine Learning, Business Solutions, Organizational Strategy, Business Process Automation, Social Studies, Innovation, Data Collection, Automation, Data Security, Human Machine Interfaces, Forecasting, Emerging Technologies, Analysis, Critical Thinking

      4.8
      Rating, 4.8 out of 5 stars
      ·
      5.2K reviews

      Beginner · Specialization · 1 - 3 Months

    • Status: Free Trial
      Free Trial

      University of Pennsylvania

      AI For Business

      Skills you'll gain: AI Personalization, Machine Learning Methods, HR Tech, Data Ethics, Large Language Modeling, Generative AI, Artificial Intelligence and Machine Learning (AI/ML), Machine Learning Algorithms, Big Data, Data Governance, Applied Machine Learning, Machine Learning, Human Resources, Analytics, Risk Modeling, Artificial Intelligence, Credit Risk, Customer Engagement, Governance, Business Transformation

      4.7
      Rating, 4.7 out of 5 stars
      ·
      1.5K reviews

      Beginner · Specialization · 3 - 6 Months

    • Status: New
      New
      Status: Preview
      Preview

      University of Illinois Urbana-Champaign

      Introduction to Artificial Intelligence

      Skills you'll gain: Generative AI, Artificial Intelligence, Deep Learning, Machine Learning, Data Quality, Computer Science, Artificial Neural Networks, Unsupervised Learning, Data Processing, Regression Analysis, Business Intelligence, Computer Vision, Ethical Standards And Conduct, Business Analytics, Governance, Regulation and Legal Compliance

      Build toward a degree

      4.5
      Rating, 4.5 out of 5 stars
      ·
      23 reviews

      Beginner · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial

      IBM

      IBM AI Engineering

      Skills you'll gain: Prompt Engineering, Large Language Modeling, PyTorch (Machine Learning Library), Keras (Neural Network Library), Unsupervised Learning, Feature Engineering, Generative AI, Supervised Learning, Deep Learning, Natural Language Processing, Reinforcement Learning, Applied Machine Learning, Generative AI Agents, Scikit Learn (Machine Learning Library), Artificial Neural Networks, Jupyter, ChatGPT, Python Programming, Machine Learning, Data Science

      Build toward a degree

      4.6
      Rating, 4.6 out of 5 stars
      ·
      21K reviews

      Intermediate · Professional Certificate · 3 - 6 Months

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    1234…250

    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 Everyone: DeepLearning.AI
    • Machine Learning: DeepLearning.AI
    • Fundamentals of Machine Learning and Artificial Intelligence: Amazon Web Services
    • Introduction to AI: Google
    • IBM AI Developer: IBM
    • Artificial Intelligence: O.P. Jindal Global University
    • Google AI Essentials: Google
    • AI For Business: University of Pennsylvania

    Frequently Asked Questions about Artificial Intelligence

    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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