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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 Instructor Network

      8 Most Controversial Terms in AI, Explained

      Skills you'll gain: Artificial Intelligence, Large Language Modeling, Generative AI, Open Source Technology, Emerging Technologies, Data Ethics, ChatGPT

      4.8
      Rating, 4.8 out of 5 stars
      ·
      29 reviews

      Beginner · Course · 1 - 3 Months

    • C

      Coursera Project Network

      Diabetes Prediction With Pyspark MLLIB

      Skills you'll gain: Data Cleansing, Apache Spark, PySpark, Data Manipulation, Applied Machine Learning, Data Processing, Classification And Regression Tree (CART), Predictive Modeling, Regression Analysis, Machine Learning, Google Cloud Platform

      4.6
      Rating, 4.6 out of 5 stars
      ·
      22 reviews

      Intermediate · Guided Project · Less Than 2 Hours

    • U

      Universidad Austral

      Introducción al Aprendizaje Profundo

      Skills you'll gain: Supervised Learning, Deep Learning, Artificial Neural Networks, Machine Learning, Machine Learning Algorithms, Artificial Intelligence and Machine Learning (AI/ML), Linear Algebra, Regression Analysis

      4.2
      Rating, 4.2 out of 5 stars
      ·
      6 reviews

      Beginner · Course · 1 - 4 Weeks

    • Status: New
      New
      Status: Free Trial
      Free Trial
      U

      UBITS

      Business Developer

      Skills you'll gain: Benchmarking, Closing (Sales), Consultative Selling, Retail Sales, Sales Presentation, Negotiation, Sales Strategy, Overcoming Objections, Accountability, Value Propositions, Customer Relationship Management, Sales Management, Rapport Building, Business Development, Emotional Intelligence, New Business Development, Market Research, Personal Development, Initiative and Leadership, Culture Transformation

      Intermediate · Specialization · 3 - 6 Months

    • Status: Free Trial
      Free Trial
      U

      University of Colorado Boulder

      Supervised Text Classification for Marketing Analytics

      Skills you'll gain: Supervised Learning, Marketing Analytics, Machine Learning, Deep Learning, Machine Learning Algorithms, Tensorflow, Scikit Learn (Machine Learning Library), Python Programming, Marketing, Natural Language Processing, Google Cloud Platform, Artificial Neural Networks, Text Mining, Performance Metric

      Build toward a degree

      3.1
      Rating, 3.1 out of 5 stars
      ·
      14 reviews

      Beginner · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      M

      Microsoft

      Analysis and Visualization of Data with Power BI

      Skills you'll gain: Dashboard, Power BI, Data Presentation, Data Visualization Software, Data Storytelling, Data Visualization, Interactive Data Visualization, Advanced Analytics, Data Analysis, Business Intelligence, Statistical Reporting

      Beginner · Course · 1 - 3 Months

    • Status: New
      New
      K

      Knowledge Accelerators

      Microsoft Copilot in Excel: Smarter Data Analysis Made Easy

      Skills you'll gain: Microsoft Copilot, Dashboard, Microsoft Excel, Excel Macros, Microsoft 365, Data-Driven Decision-Making, Data Analysis, Productivity Software, Data Transformation, Automation, Prompt Engineering

      5
      Rating, 5 out of 5 stars
      ·
      11 reviews

      Intermediate · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      U

      University of Virginia Darden School Foundation

      Building Generative AI Capabilities

      Skills you'll gain: Design Thinking, Marketing Strategy and Techniques, Business Marketing, Customer Relationship Management, Customer experience improvement, MarTech, Business Strategy, Change Management, Competitive Intelligence, Information Privacy, Digital Transformation, Artificial Intelligence, Business Ethics

      4.3
      Rating, 4.3 out of 5 stars
      ·
      18 reviews

      Beginner · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      U

      University of Glasgow

      Explainable deep learning models for healthcare - CDSS 3

      Skills you'll gain: Deep Learning, Applied Machine Learning, Image Analysis, Time Series Analysis and Forecasting, Machine Learning, Visualization (Computer Graphics), Electocardiography, Artificial Neural Networks

      4.6
      Rating, 4.6 out of 5 stars
      ·
      15 reviews

      Intermediate · Course · 1 - 4 Weeks

    • Status: New
      New
      Status: Free Trial
      Free Trial
      W

      Whizlabs

      NVIDIA: Fundamentals of Machine Learning

      Skills you'll gain: Unsupervised Learning, Time Series Analysis and Forecasting, Supervised Learning, Machine Learning, Applied Machine Learning, Data Processing, Feature Engineering, Artificial Intelligence, Deep Learning, Classification And Regression Tree (CART), Regression Analysis

      Intermediate · Course · 1 - 4 Weeks

    • E

      EDUCBA

      AWS Database Specialty Certification

      Skills you'll gain: Amazon Web Services, Database Design, Amazon CloudWatch, Amazon DynamoDB, Amazon Redshift, Data Migration, Database Architecture and Administration, Database Management, Disaster Recovery, Databases, Relational Databases, AWS Identity and Access Management (IAM), NoSQL, AWS CloudFormation, Cloud Security, Encryption, Amazon S3, Virtual Private Networks (VPN), Scalability, Performance Tuning

      5
      Rating, 5 out of 5 stars
      ·
      37 reviews

      Beginner · Course · 1 - 3 Months

    • A

      Alberta Machine Intelligence Institute

      실용 머신 러닝 소개

      Skills you'll gain: Data Ethics, Machine Learning, MLOps (Machine Learning Operations), Applied Machine Learning, Business Priorities, Training Records Management, Data Collection, Business Process, Machine Learning Algorithms, Artificial Intelligence, Data Quality, Performance Metric

      Intermediate · Course · 1 - 4 Weeks

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    1…134135136…226

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

    • 8 Most Controversial Terms in AI, Explained: Coursera Instructor Network
    • Diabetes Prediction With Pyspark MLLIB: Coursera Project Network
    • Introducción al Aprendizaje Profundo: Universidad Austral
    • Business Developer: UBITS
    • Supervised Text Classification for Marketing Analytics: University of Colorado Boulder
    • Analysis and Visualization of Data with Power BI: Microsoft
    • Microsoft Copilot in Excel: Smarter Data Analysis Made Easy: Knowledge Accelerators
    • Building Generative AI Capabilities: University of Virginia Darden School Foundation
    • Explainable deep learning models for healthcare - CDSS 3: University of Glasgow
    • NVIDIA: Fundamentals of Machine Learning: Whizlabs

    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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