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    • Artificial Intelligence

    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

    1 active filter
    • Status: Free Trial
      Free Trial

      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
      ·
      35K reviews

      Beginner · Specialization · 1 - 3 Months

    • Status: Free Trial
      Free Trial

      Stanford University

      AI in Healthcare

      Skills you'll gain: Feature Engineering, Healthcare Ethics, Pharmaceuticals, Data Ethics, Clinical Research, Health Systems, Healthcare Industry Knowledge, Medical Records, Unstructured Data, Health Care, Health Informatics, Data Mining, Clinical Data Management, Statistical Machine Learning, Applied Machine Learning, Electronic Medical Record, Artificial Intelligence and Machine Learning (AI/ML), Machine Learning, Artificial Intelligence, Health Technology

      4.7
      Rating, 4.7 out of 5 stars
      ·
      2.2K reviews

      Beginner · Specialization · 3 - 6 Months

    • Stanford University

      The AI Awakening: Implications for the Economy and Society

      Skills you'll gain: Generative AI, Workforce Development, OpenAI, Employee Training, Socioeconomics, Digital Transformation, Emerging Technologies, Artificial Intelligence, Large Language Modeling, Business Solutions, Economics, Innovation, Natural Language Processing

      4.7
      Rating, 4.7 out of 5 stars
      ·
      96 reviews

      Beginner · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial

      DeepLearning.AI

      Supervised Machine Learning: Regression and Classification

      Skills you'll gain: Supervised Learning, Jupyter, Scikit Learn (Machine Learning Library), Machine Learning, NumPy, Predictive Modeling, Feature Engineering, Artificial Intelligence, Classification And Regression Tree (CART), Python Programming, Regression Analysis, Unsupervised Learning, Statistical Modeling

      4.9
      Rating, 4.9 out of 5 stars
      ·
      29K reviews

      Beginner · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial

      Stanford University

      Probabilistic Graphical Models

      Skills you'll gain: Bayesian Network, Applied Machine Learning, Graph Theory, Machine Learning Algorithms, Probability Distribution, Statistical Modeling, Bayesian Statistics, 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

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

      Advanced · Specialization · 3 - 6 Months

    • Status: Free Trial
      Free Trial

      Stanford University

      AI in Healthcare Capstone

      Skills you'll gain: Health Informatics, Clinical Data Management, Healthcare Ethics, Artificial Intelligence and Machine Learning (AI/ML), Data Collection, Applied Machine Learning, Health Care Procedure and Regulation, Data Ethics, Machine Learning Software, Machine Learning, Healthcare Industry Knowledge, Predictive Modeling, MLOps (Machine Learning Operations), Performance Tuning, Regulatory Compliance, Feature Engineering, Electronic Medical Record

      4.7
      Rating, 4.7 out of 5 stars
      ·
      263 reviews

      Mixed · Course · 1 - 3 Months

    What brings you to Coursera today?

    • Stanford University

      Understanding Einstein: The Special Theory of Relativity

      Skills you'll gain: Physics, Timelines, Verification And Validation, Scientific Methods, Research, Mechanics, Mathematical Modeling, Systems Of Measurement

      4.9
      Rating, 4.9 out of 5 stars
      ·
      3.1K reviews

      Beginner · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial

      Stanford University

      Evaluations of AI Applications in Healthcare

      Skills you'll gain: Data Ethics, Artificial Intelligence, Health Technology, Healthcare Industry Knowledge, Health Care, Patient Safety, Health Equity, Health Disparities, Regulatory Compliance, Application Deployment, Continuous Monitoring, Clinical Data Management, Decision Support Systems, Predictive Modeling

      4.6
      Rating, 4.6 out of 5 stars
      ·
      300 reviews

      Beginner · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial

      DeepLearning.AI

      Advanced Learning Algorithms

      Skills you'll gain: Classification And Regression Tree (CART), Machine Learning Algorithms, Machine Learning, Applied Machine Learning, Data Ethics, Decision Tree Learning, Tensorflow, Artificial Intelligence, Supervised Learning, Deep Learning, Random Forest Algorithm, Artificial Neural Networks, Performance Tuning

      4.9
      Rating, 4.9 out of 5 stars
      ·
      8K reviews

      Beginner · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial

      Stanford University

      Fundamentals of Machine Learning for Healthcare

      Skills you'll gain: Healthcare Ethics, Data Ethics, Statistical Machine Learning, Applied Machine Learning, Machine Learning, Artificial Neural Networks, Healthcare Industry Knowledge, Health Care, Health Technology, Artificial Intelligence and Machine Learning (AI/ML), Supervised Learning, Reinforcement Learning, Health Informatics, Deep Learning, Data Processing, Image Analysis, Data Quality

      4.8
      Rating, 4.8 out of 5 stars
      ·
      566 reviews

      Beginner · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial

      DeepLearning.AI

      Unsupervised Learning, Recommenders, Reinforcement Learning

      Skills you'll gain: Unsupervised Learning, Machine Learning Methods, Artificial Intelligence and Machine Learning (AI/ML), Applied Machine Learning, Data Ethics, Machine Learning, Machine Learning Algorithms, Supervised Learning, Reinforcement Learning, Statistical Machine Learning, Artificial Neural Networks, Deep Learning, Anomaly Detection, Dimensionality Reduction, Algorithms, Collaborative Software

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

      Beginner · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial

      Stanford University

      Probabilistic Graphical Models 3: Learning

      Skills you'll gain: Bayesian Network, Applied Machine Learning, Machine Learning Algorithms, Markov Model, Machine Learning, Statistical Modeling, Network Analysis, Unstructured Data, Statistical Methods, Probability & Statistics, Algorithms

      4.6
      Rating, 4.6 out of 5 stars
      ·
      303 reviews

      Advanced · Course · 1 - 3 Months

    Searches related to artificial intelligence

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    1

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

    • Machine Learning: DeepLearning.AI
    • AI in Healthcare: Stanford University
    • The AI Awakening: Implications for the Economy and Society: Stanford University
    • Supervised Machine Learning: Regression and Classification : DeepLearning.AI
    • Probabilistic Graphical Models: Stanford University
    • AI in Healthcare Capstone: Stanford University
    • Understanding Einstein: The Special Theory of Relativity: Stanford University
    • Evaluations of AI Applications in Healthcare: Stanford University
    • Advanced Learning Algorithms: DeepLearning.AI
    • Fundamentals of Machine Learning for Healthcare: Stanford University

    Why Learn Artificial Intelligence?

    Artificial intelligence (AI) is the field of developing systems that can perform tasks typically requiring human intelligence—like recognizing patterns, making decisions, and learning from data. It’s driving innovation across industries, from healthcare and finance to robotics and software development. Learning AI can help you understand emerging technologies and contribute to solutions that shape the future.

    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.‎

    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.‎

    Yes. AI is one of the fastest-growing fields, with demand in areas like data science, automation, and software development. Completing an AI course or certificate on Coursera can help you build the skills needed to work on real-world projects and show employers what you’ve learned.‎

    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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