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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 Artificial Intelligence Course for Your Goals

    • G

      Google Cloud

      Responsible AI: Applying AI Principles with Google Cloud

      Skills you'll gain: Data Ethics, Business Ethics, Accountability, Regulatory Compliance, Compliance Training, Ethical Standards And Conduct, Google Cloud Platform, Data Governance, Artificial Intelligence and Machine Learning (AI/ML), Governance, Machine Learning, Decision Making

      4.6
      Rating, 4.6 out of 5 stars
      ·
      534 reviews

      Beginner · Course · 1 - 3 Months

    • Status: Free
      Free
      Y

      Yale University

      Narrative Economics

      Skills you'll gain: Behavioral Economics, Storytelling, Economics, Socioeconomics, Forecasting, Social Studies, Market Dynamics, Consumer Behaviour, Analysis, Complex Problem Solving

      4.8
      Rating, 4.8 out of 5 stars
      ·
      726 reviews

      Beginner · Course · 1 - 4 Weeks

    • G

      Google

      Decisions, Decisions: Dashboards and Reports

      Skills you'll gain: Dashboard, Business Intelligence, Data Presentation, Data Visualization Software, Business Reporting, Scalability, Stakeholder Communications, Key Performance Indicators (KPIs), Data Analysis, Performance Analysis, Presentations, Interviewing Skills

      4.8
      Rating, 4.8 out of 5 stars
      ·
      1.1K reviews

      Advanced · Course · 1 - 3 Months

    • G

      Google

      The Path to Insights: Data Models and Pipelines

      Skills you'll gain: Data Modeling, Database Design, Extract, Transform, Load, Data Warehousing, Performance Tuning, Data Pipelines, Data Integrity, Business Intelligence, Business Process, Data Mart, Data Validation, Data Quality, SQL, Performance Testing

      4.7
      Rating, 4.7 out of 5 stars
      ·
      636 reviews

      Advanced · Course · 1 - 4 Weeks

    • U

      University of Michigan

      Applied Machine Learning in Python

      Skills you'll gain: Feature Engineering, Applied Machine Learning, Supervised Learning, Scikit Learn (Machine Learning Library), Predictive Modeling, Machine Learning, Decision Tree Learning, Unsupervised Learning, Dimensionality Reduction, Random Forest Algorithm

      4.6
      Rating, 4.6 out of 5 stars
      ·
      8.6K reviews

      Intermediate · Course · 1 - 4 Weeks

    • M

      Microsoft

      Harnessing the Power of Data with Power BI

      Skills you'll gain: Power BI, Data-Driven Decision-Making, Data Analysis, Microsoft Power Platform, Extract, Transform, Load, Data Collection, Business Intelligence, Business Analytics, Data Transformation, Data Visualization Software, Microsoft 365

      4.6
      Rating, 4.6 out of 5 stars
      ·
      1.6K reviews

      Beginner · Course · 1 - 4 Weeks

    • U

      University of Pennsylvania

      AI Fundamentals for Non-Data Scientists

      Skills you'll gain: Generative AI, Big Data, Machine Learning, Customer Data Management, Tensorflow, Artificial Intelligence, Deep Learning, Algorithms, Process Optimization, Data Analysis, Artificial Neural Networks, Natural Language Processing

      4.8
      Rating, 4.8 out of 5 stars
      ·
      710 reviews

      Mixed · Course · 1 - 3 Months

    • D

      Duke University

      MLOps | Machine Learning Operations

      Skills you'll gain: MLOps (Machine Learning Operations), Pandas (Python Package), AWS SageMaker, NumPy, Microsoft Azure, Data Ethics, Application Deployment, Data Manipulation, Exploratory Data Analysis, Containerization, Data Pipelines, CI/CD, Software Testing, Data Import/Export, Amazon Web Services, Feature Engineering, Cloud Solutions, Artificial Intelligence and Machine Learning (AI/ML), Docker (Software), Rust (Programming Language)

      4.2
      Rating, 4.2 out of 5 stars
      ·
      450 reviews

      Advanced · Specialization · 3 - 6 Months

    • E

      EDHEC Business School

      Investment Management with Python and Machine Learning

      Skills you'll gain: Investment Management, Portfolio Management, Text Mining, Asset Management, Network Analysis, Data Visualization Software, Machine Learning Methods, Financial Data, Unstructured Data, Predictive Modeling, Web Scraping, Machine Learning, Advanced Analytics, Financial Statements, Applied Machine Learning, Financial Market, Financial Analysis, Financial Modeling, Return On Investment, Risk Analysis

      4.6
      Rating, 4.6 out of 5 stars
      ·
      1.8K reviews

      Beginner · Specialization · 3 - 6 Months

    • M

      MedCerts

      Mental Health Care Fundamentals

      Skills you'll gain: Healthcare Ethics, Conflict Management, Medical Privacy, Child Development, Cultural Responsiveness, Human Development, Mental Health Diseases and Disorders, Patient Education And Counseling, Cultural Diversity, Cultural Sensitivity, Mental Health Therapies, Professionalism, Professional Development, Pediatrics, Time Management, Mental Health, Emotional Intelligence, Ethical Standards And Conduct, Teamwork, Psychiatric And Mental Health Nursing

      4.8
      Rating, 4.8 out of 5 stars
      ·
      753 reviews

      Beginner · Specialization · 1 - 3 Months

    • U

      University of Pennsylvania

      Operations Analytics

      Skills you'll gain: Business Analytics, Descriptive Analytics, Predictive Analytics, Analytics, Demand Planning, Data-Driven Decision-Making, Operational Analysis, Business Operations, Risk Analysis, Forecasting, Operations Management, Simulation and Simulation Software, Process Optimization, Decision Making, Decision Tree Learning, Spreadsheet Software, Microsoft Excel, Probability Distribution

      4.7
      Rating, 4.7 out of 5 stars
      ·
      5.1K reviews

      Mixed · Course · 1 - 4 Weeks

    • S

      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, Natural Language Processing, Algorithms, Computational Thinking

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

      Advanced · Specialization · 3 - 6 Months

    Searches related to artificial intelligence

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    1…252627…221

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

    • Responsible AI: Applying AI Principles with Google Cloud: Google Cloud
    • Narrative Economics: Yale University
    • Decisions, Decisions: Dashboards and Reports: Google
    • The Path to Insights: Data Models and Pipelines: Google
    • Applied Machine Learning in Python: University of Michigan
    • Harnessing the Power of Data with Power BI: Microsoft
    • AI Fundamentals for Non-Data Scientists: University of Pennsylvania
    • MLOps | Machine Learning Operations: Duke University
    • Investment Management with Python and Machine Learning: EDHEC Business School
    • Mental Health Care Fundamentals: MedCerts

    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

    Coursera features AI courses and programs from leading institutions like Stanford University, DeepLearning.AI, and IBM. You’ll find options that cover core concepts, machine learning, neural networks, and real-world AI applications.‎

    Yes, many AI courses offer a free audit option. This means you can access videos and readings at no cost. If you want a certificate or access to graded assignments, you’ll need to pay 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.‎

    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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