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    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

    • Status: Free Trial
      Free Trial
      I

      IBM

      Generative AI for Human Resources (HR) Professionals

      Skills you'll gain: Prompt Engineering, Generative AI, ChatGPT, HR Tech, Human Resources Software, Human Resources Management and Planning, OpenAI, Human Resources, Workforce Planning, Human Resource Strategy, Data Ethics, Large Language Modeling, Artificial Intelligence, Program Development, Employee Engagement, Content Creation, Recruitment, Performance Appraisal, Employee Onboarding, Image Analysis

      4.7
      Rating, 4.7 out of 5 stars
      ·
      6.9K reviews

      Intermediate · Specialization · 1 - 3 Months

    • I

      IBM

      Machine Learning Introduction for Everyone

      Skills you'll gain: Artificial Intelligence and Machine Learning (AI/ML), Machine Learning, Applied Machine Learning, Deep Learning, Supervised Learning, IBM Cloud, Predictive Modeling, Classification And Regression Tree (CART), Unsupervised Learning, Reinforcement Learning, Software Development Life Cycle

      4.5
      Rating, 4.5 out of 5 stars
      ·
      281 reviews

      Beginner · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      I

      IBM

      Generative AI for Business Intelligence (BI) Analysts

      Skills you'll gain: Prompt Engineering, Generative AI, ChatGPT, Interactive Data Visualization, Business Intelligence, Data Presentation, Infographics, OpenAI, Dashboard, Data Storytelling, Large Language Modeling, Artificial Intelligence, Program Development, SQL, Data Analysis, Content Creation, Business Ethics, Image Analysis, Virtual Environment, Natural Language Processing

      4.7
      Rating, 4.7 out of 5 stars
      ·
      6.9K reviews

      Intermediate · Specialization · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      I

      IBM

      GenAI for Execs & Business Leaders: Integration Strategy

      Skills you'll gain: Return On Investment, Data Strategy, Business Leadership, Generative AI, Business Strategy, Scalability, Compliance Management, Data-Driven Decision-Making, Business Ethics, Artificial Intelligence, Data Governance, Human Resources, Finance, Information Technology Operations

      4.9
      Rating, 4.9 out of 5 stars
      ·
      59 reviews

      Beginner · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      I

      IBM

      The AI Ladder: A Framework for Deploying AI in your Enterprise

      Skills you'll gain: Information Architecture, Strategic Decision-Making, Enterprise Architecture, Data Strategy, Business Strategy, Business Process Automation, Digital Transformation, Analysis, Data Architecture, Artificial Intelligence, Business Technologies, Data Management

      4.6
      Rating, 4.6 out of 5 stars
      ·
      389 reviews

      Beginner · Course · 1 - 4 Weeks

    • I

      IBM

      Introduction to the Threat Intelligence Lifecycle

      Skills you'll gain: Cyber Threat Intelligence, Threat Management, Threat Detection, Data Cleansing, Data Management, Data Validation, Data Quality, Data Integrity, Technical Communication, Automation, Requirements Analysis, Machine Learning

      4.7
      Rating, 4.7 out of 5 stars
      ·
      28 reviews

      Beginner · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      I

      IBM

      Generative AI: Introduction and Applications

      Skills you'll gain: Generative AI, ChatGPT, OpenAI, Prompt Engineering, Large Language Modeling, Artificial Intelligence, Program Development, Content Creation, Image Analysis, Virtual Environment

      4.7
      Rating, 4.7 out of 5 stars
      ·
      2.7K reviews

      Beginner · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      I

      IBM

      SQL: A Practical Introduction for Querying Databases

      Skills you'll gain: SQL, Relational Databases, Microsoft SQL Servers, MySQL, Query Languages, Database Systems, Databases, Database Management, Stored Procedure, IBM DB2, Data Manipulation, Data Analysis, Transaction Processing

      4.7
      Rating, 4.7 out of 5 stars
      ·
      596 reviews

      Beginner · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      I

      IBM

      What is Data Science?

      Skills you'll gain: Data Literacy, Data Mining, Big Data, Cloud Computing, Data Analysis, Data Science, Digital Transformation, Data-Driven Decision-Making, Deep Learning, Machine Learning, Artificial Intelligence

      4.7
      Rating, 4.7 out of 5 stars
      ·
      76K reviews

      Beginner · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      I

      IBM

      Introduction to Neural Networks and PyTorch

      Skills you'll gain: PyTorch (Machine Learning Library), Artificial Neural Networks, Deep Learning, Predictive Modeling, Probability & Statistics, Machine Learning, Regression Analysis, Data Manipulation, Linear Algebra

      4.4
      Rating, 4.4 out of 5 stars
      ·
      1.8K reviews

      Intermediate · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      I

      IBM

      Deep Learning with PyTorch

      Skills you'll gain: PyTorch (Machine Learning Library), Deep Learning, Artificial Neural Networks, Artificial Intelligence and Machine Learning (AI/ML), Computer Vision, Applied Machine Learning, Supervised Learning, Regression Analysis

      4.4
      Rating, 4.4 out of 5 stars
      ·
      45 reviews

      Intermediate · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      I

      IBM

      Generative AI: Impact, Considerations, and Ethical Issues

      Skills you'll gain: Data Ethics, Generative AI, Business Ethics, Legal Risk, Socioeconomics, Ethical Standards And Conduct, Artificial Intelligence, Environmental Social And Corporate Governance (ESG), Machine Learning, Intellectual Property, Information Privacy, Workforce Management, Workforce Development, Safety and Security

      4.7
      Rating, 4.7 out of 5 stars
      ·
      230 reviews

      Beginner · Course · 1 - 4 Weeks

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    1…567…10

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

    • Generative AI for Human Resources (HR) Professionals: IBM
    • Machine Learning Introduction for Everyone: IBM
    • Generative AI for Business Intelligence (BI) Analysts: IBM
    • GenAI for Execs & Business Leaders: Integration Strategy: IBM
    • The AI Ladder: A Framework for Deploying AI in your Enterprise: IBM
    • Introduction to the Threat Intelligence Lifecycle : IBM
    • Generative AI: Introduction and Applications: IBM
    • SQL: A Practical Introduction for Querying Databases: IBM
    • What is Data Science? : IBM
    • Introduction to Neural Networks and PyTorch: IBM

    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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