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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

      AI Workflow: Data Analysis and Hypothesis Testing

      Skills you'll gain: Exploratory Data Analysis, Probability Distribution, Statistical Hypothesis Testing, Dashboard, Data Analysis, Data Science, Probability & Statistics, Statistical Analysis, Jupyter, Matplotlib, Data Cleansing, Pandas (Python Package), Statistical Inference, Statistics, Data Manipulation

      4.3
      Rating, 4.3 out of 5 stars
      ·
      123 reviews

      Advanced · Course · 1 - 4 Weeks

    • Status: New
      New
      Status: Free Trial
      Free Trial
      I

      IBM

      Generative AI: Empowering Modern Education

      Skills you'll gain: AI Personalization, Generative AI, Education Software and Technology, ChatGPT, Data Ethics, Prompt Engineering, Artificial Intelligence, Ethical Standards And Conduct, Information Privacy, Diversity Awareness, Data Security

      4.8
      Rating, 4.8 out of 5 stars
      ·
      13 reviews

      Intermediate · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      I

      IBM

      AI Workflow: Feature Engineering and Bias Detection

      Skills you'll gain: Feature Engineering, Data Ethics, Unsupervised Learning, Dimensionality Reduction, Text Mining, Applied Machine Learning, Data Transformation, Anomaly Detection, Exploratory Data Analysis, Natural Language Processing, Quality Assurance, Data Validation, Machine Learning Algorithms, Data Visualization

      4.4
      Rating, 4.4 out of 5 stars
      ·
      72 reviews

      Advanced · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      I

      IBM

      AI Workflow: Enterprise Model Deployment

      Skills you'll gain: Apache Spark, Data Pipelines, MLOps (Machine Learning Operations), PySpark, IBM Cloud, Jupyter, Machine Learning, Containerization, Python Programming, Performance Tuning, Scalability, Design Thinking

      4.2
      Rating, 4.2 out of 5 stars
      ·
      55 reviews

      Advanced · Course · 1 - 4 Weeks

    • I

      IBM

      IBM Data Topology

      Skills you'll gain: Multi-Cloud, Data Architecture, Data Management, Regulatory Compliance, Information Architecture, Cloud Management, Data Infrastructure, Data Integration, Data Strategy, AI Personalization

      4.7
      Rating, 4.7 out of 5 stars
      ·
      32 reviews

      Intermediate · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      I

      IBM

      Vector Database Projects: AI Recommendation Systems

      Skills you'll gain: Databases, MongoDB, Data Store, Artificial Intelligence, Natural Language Processing, Applied Machine Learning, Generative AI, Cloud API

      4.6
      Rating, 4.6 out of 5 stars
      ·
      11 reviews

      Intermediate · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      I

      IBM

      Fundamentals of Building AI Agents

      Skills you'll gain: Large Language Modeling, Generative AI Agents, Generative AI, Artificial Intelligence, Prompt Engineering, Agentic systems, Natural Language Processing, SQL, Data Analysis, Pandas (Python Package), Systems Design

      Intermediate · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      I

      IBM

      Search Engine Optimization and Content Marketing

      Skills you'll gain: Keyword Research, Web Analytics and SEO, Search Engine Optimization, Content Marketing, Web Analytics, Google Analytics, Search Engine Marketing, Content Creation, Marketing Strategy and Techniques, Digital Marketing, Growth Strategies, Content Strategy, Data-Driven Decision-Making

      Beginner · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      I

      IBM

      Agentic AI Fundamentals with LangChain and LangGraph

      Skills you'll gain: Agentic systems, Generative AI Agents, Artificial Intelligence, Large Language Modeling, Prompt Engineering, Reinforcement Learning, Natural Language Processing

      Intermediate · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      I

      IBM

      Incident Response and Defense with OpenVAS

      Skills you'll gain: Vulnerability Scanning, Threat Detection, Vulnerability Management, Vulnerability Assessments, Incident Response, Security Strategy, Threat Management, Cyber Threat Intelligence, Incident Management, Security Controls, Security Testing

      Intermediate · Course · 1 - 4 Weeks

    Searches related to artificial intelligence

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    artificial intelligence ethics
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    1…78910

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

    • AI Workflow: Data Analysis and Hypothesis Testing: IBM
    • Generative AI: Empowering Modern Education: IBM
    • AI Workflow: Feature Engineering and Bias Detection: IBM
    • AI Workflow: Enterprise Model Deployment: IBM
    • IBM Data Topology: IBM
    • Vector Database Projects: AI Recommendation Systems: IBM
    • Fundamentals of Building AI Agents: IBM
    • Search Engine Optimization and Content Marketing: IBM
    • Agentic AI Fundamentals with LangChain and LangGraph: IBM
    • Incident Response and Defense with OpenVAS: 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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