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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

    • C

      Coursera Project Network

      Interpretable Machine Learning Applications: Part 2

      Skills you'll gain: Classification And Regression Tree (CART), Applied Machine Learning, Random Forest Algorithm, Data Processing, Machine Learning Algorithms, Predictive Modeling, Regression Analysis, Feature Engineering, Machine Learning, Exploratory Data Analysis, Performance Measurement

      4.2
      Rating, 4.2 out of 5 stars
      ·
      22 reviews

      Beginner · Guided Project · Less Than 2 Hours

    • C

      Coursera Instructor Network

      GenAI for Financial Data Analysis

      Skills you'll gain: Generative AI, Financial Data, Complex Problem Solving, Microsoft Copilot, Data Ethics, ChatGPT, Data-Driven Decision-Making, Data Analysis, Financial Modeling, Financial Analysis, Artificial Intelligence, Business Ethics

      Beginner · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      F

      Fractal Analytics

      Generative AI for Business - A Leaders' Handbook

      Skills you'll gain: Generative AI, Business Leadership, Key Performance Indicators (KPIs), Strategic Leadership, Business Marketing, Business Transformation, Deep Learning, Business Strategy, Data Ethics, Artificial Intelligence, Technical Consulting, Data Governance, Customer Engagement, Product Development, Ethical Standards And Conduct

      4.4
      Rating, 4.4 out of 5 stars
      ·
      25 reviews

      Beginner · Course · 1 - 4 Weeks

    • C

      Coursera Project Network

      Scikit-Learn to Solve Regression Machine Learning Problems

      Skills you'll gain: Scikit Learn (Machine Learning Library), Predictive Modeling, Regression Analysis, Machine Learning Algorithms, Applied Machine Learning, Python Programming, Machine Learning, Random Forest Algorithm

      4.7
      Rating, 4.7 out of 5 stars
      ·
      6 reviews

      Beginner · Guided Project · Less Than 2 Hours

    • Status: Free Trial
      Free Trial
      J

      Johns Hopkins University

      Introduction to Ethical Hacking

      Skills you'll gain: Penetration Testing, MITRE ATT&CK Framework, Open Web Application Security Project (OWASP), Public Key Infrastructure, Cyber Threat Intelligence, Threat Modeling, Cybersecurity, Distributed Denial-Of-Service (DDoS) Attacks, Cryptography, Mobile Security, Security Testing, Application Security, Vulnerability Scanning, Vulnerability Assessments, Network Security, Operating Systems, Encryption, Web Applications, Malware Protection, Wireless Networks

      3.3
      Rating, 3.3 out of 5 stars
      ·
      11 reviews

      Intermediate · Specialization · 3 - 6 Months

    • N

      Northeastern University

      Machine Learning for Healthcare Professionals

      Skills you'll gain: Data Mining, Health Informatics, Acute Care, Emerging Technologies, Big Data, Predictive Modeling, Machine Learning, Applied Machine Learning, Data Analysis, Correlation Analysis, Artificial Intelligence, Healthcare Industry Knowledge, Home Health Care, Generative AI

      Mixed · Course · 1 - 4 Weeks

    • C

      Coursera Instructor Network

      Time Series Mastery: Forecasting with ETS, ARIMA, Python

      Skills you'll gain: Forecasting, Time Series Analysis and Forecasting, Trend Analysis, Predictive Analytics, Advanced Analytics, Statistical Analysis, Business Analytics, Data-Driven Decision-Making, Strategic Decision-Making, Exploratory Data Analysis, Pandas (Python Package), Matplotlib

      3.9
      Rating, 3.9 out of 5 stars
      ·
      35 reviews

      Beginner · Course · 1 - 4 Weeks

    • N

      Northeastern University

      Practical AI for Professionals

      Skills you'll gain: Feature Engineering, Exploratory Data Analysis, Artificial Intelligence, Artificial Intelligence and Machine Learning (AI/ML), Data Analysis, Business Strategy, Machine Learning, Business Strategies, Data Management, Data Processing, Computer Vision, Unstructured Data, Predictive Modeling, Natural Language Processing

      Beginner · Course · 1 - 4 Weeks

    • Status: Free
      Free
      C

      Coursera Project Network

      Getting Started with Facebook Pixel

      Skills you'll gain: Target Audience, Social Media Marketing, Social Media Campaigns, Online Advertising, Social Media, Web Analytics

      4.2
      Rating, 4.2 out of 5 stars
      ·
      22 reviews

      Beginner · Guided Project · Less Than 2 Hours

    • Status: Free Trial
      Free Trial
      U

      Universidad Nacional Autónoma de México

      Creatividad computacional

      Skills you'll gain: Creativity, Generative AI, Artificial Intelligence, Artificial Intelligence and Machine Learning (AI/ML), Computational Thinking, Computer Graphics, Visualization (Computer Graphics), Python Programming, Algorithms, Music Theory

      4.7
      Rating, 4.7 out of 5 stars
      ·
      12 reviews

      Intermediate · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      L

      LearnQuest

      Capstone Project: Advanced AI for Drug Discovery

      Skills you'll gain: Feature Engineering, Bioinformatics, Dimensionality Reduction, Predictive Modeling, Artificial Neural Networks, Pandas (Python Package), Verification And Validation, Unsupervised Learning, Scikit Learn (Machine Learning Library), Data Manipulation, Regression Analysis, Machine Learning Algorithms, Exploratory Data Analysis

      1.9
      Rating, 1.9 out of 5 stars
      ·
      15 reviews

      Intermediate · Course · 1 - 4 Weeks

    • C

      Coursera Project Network

      Sales Analysis with Claude: Data Driven Sales Analytics

      Skills you'll gain: Business Intelligence, Data Visualization, Sales Presentation, Data Storytelling, Trend Analysis, Sales, Business Analytics, Sales Strategy, Data-Driven Decision-Making, Data Analysis, Business Strategy, Anomaly Detection, Artificial Intelligence

      Intermediate · Guided Project · Less Than 2 Hours

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    1…128129130…225

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

    • Interpretable Machine Learning Applications: Part 2: Coursera Project Network
    • GenAI for Financial Data Analysis: Coursera Instructor Network
    • Generative AI for Business - A Leaders' Handbook: Fractal Analytics
    • Scikit-Learn to Solve Regression Machine Learning Problems: Coursera Project Network
    • Introduction to Ethical Hacking: Johns Hopkins University
    • Machine Learning for Healthcare Professionals: Northeastern University
    • Time Series Mastery: Forecasting with ETS, ARIMA, Python: Coursera Instructor Network
    • Practical AI for Professionals: Northeastern University
    • Getting Started with Facebook Pixel: Coursera Project Network
    • Creatividad computacional: Universidad Nacional Autónoma de México

    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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