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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
      Free
      A

      Amazon Web Services

      Fundamentals of Machine Learning and Artificial Intelligence

      Skills you'll gain: Artificial Intelligence and Machine Learning (AI/ML), Generative AI, Deep Learning, Artificial Intelligence, AWS SageMaker, Amazon Web Services, Applied Machine Learning, Machine Learning, Digital Transformation

      4.5
      Rating, 4.5 out of 5 stars
      ·
      743 reviews

      Mixed · Course · 1 - 4 Weeks

    • Status: Free
      Free
      A

      Amazon Web Services

      Exploring Artificial Intelligence Use Cases and Applications

      Skills you'll gain: Generative AI, Business Metrics, Machine Learning Methods, Applied Machine Learning, Artificial Intelligence and Machine Learning (AI/ML), Machine Learning, Machine Learning Algorithms, Artificial Intelligence, Key Performance Indicators (KPIs), Performance Metric

      4.3
      Rating, 4.3 out of 5 stars
      ·
      82 reviews

      Beginner · Course · 1 - 4 Weeks

    • Status: New
      New
      Status: Free Trial
      Free Trial
      A

      Amazon Web Services

      AWS Generative AI Applications

      Skills you'll gain: Generative AI, Generative AI Agents, Prompt Engineering, Data Ethics, AWS SageMaker, Amazon Web Services, MLOps (Machine Learning Operations), Application Programming Interface (API), Application Development, Artificial Intelligence and Machine Learning (AI/ML), Artificial Intelligence, Cloud Development, Public Cloud, Data Governance, Large Language Modeling, API Design, Cost Management, Solution Architecture, Information Privacy, Data Management

      4.6
      Rating, 4.6 out of 5 stars
      ·
      38 reviews

      Beginner · Professional Certificate · 1 - 3 Months

    • D

      DeepLearning.AI

      Generative AI with Large Language Models

      Skills you'll gain: Generative AI, Large Language Modeling, OpenAI, ChatGPT, Prompt Engineering, PyTorch (Machine Learning Library), Artificial Intelligence and Machine Learning (AI/ML), Deep Learning, Tensorflow, Python Programming, Applied Machine Learning, Scalability, Natural Language Processing, Machine Learning, Application Deployment, Reinforcement Learning, Performance Tuning, Performance Metric

      4.8
      Rating, 4.8 out of 5 stars
      ·
      3.4K reviews

      Intermediate · Course · 1 - 4 Weeks

    • Status: New
      New
      Status: Free Trial
      Free Trial
      A

      Amazon Web Services

      AWS Services for AI Solutions

      Skills you'll gain: Prompt Engineering, AWS SageMaker, Generative AI Agents, Generative AI, Amazon Web Services, Solution Architecture, Artificial Intelligence and Machine Learning (AI/ML), Data Quality, Computer Vision, Automation, Image Analysis, Scalability, Data Pipelines, Natural Language Processing

      4.8
      Rating, 4.8 out of 5 stars
      ·
      11 reviews

      Beginner · Course · 1 - 4 Weeks

    • Status: New
      New
      Status: Free Trial
      Free Trial
      A

      Amazon Web Services

      Bringing Ideas to Life Using AI

      Skills you'll gain: Generative AI, Generative AI Agents, Application Programming Interface (API), Application Development, Amazon Web Services, Data Governance, API Design, Cost Management, Artificial Intelligence, Prompt Engineering, Information Privacy, Product Strategy, Innovation, Compliance Management, Data Security

      4.7
      Rating, 4.7 out of 5 stars
      ·
      7 reviews

      Beginner · Course · 1 - 4 Weeks

    What brings you to Coursera today?

    • Status: New
      New
      Status: Free Trial
      Free Trial
      A

      Amazon Web Services

      AI Fundamentals and the Cloud

      Skills you'll gain: Data Ethics, Amazon Web Services, MLOps (Machine Learning Operations), Artificial Intelligence and Machine Learning (AI/ML), Artificial Intelligence, Cloud Development, Public Cloud, Large Language Modeling, Business Ethics, Machine Learning, Application Development

      4.7
      Rating, 4.7 out of 5 stars
      ·
      29 reviews

      Beginner · Course · 1 - 4 Weeks

    • Status: New
      New
      Status: Free Trial
      Free Trial
      A

      Amazon Web Services

      Getting Started with AWS Generative AI for Developers

      Skills you'll gain: Prompt Engineering, Generative AI, Large Language Modeling, Data Ethics, Amazon Web Services, Cloud API, Artificial Intelligence, Application Programming Interface (API), Application Development

      Beginner · Course · 1 - 4 Weeks

    • Status: New
      New
      A

      Amazon Web Services

      DevOps and AI on AWS: Upgrading Apps with Generative AI

      Skills you'll gain: Prompt Engineering, Application Deployment, Amazon Elastic Compute Cloud, Unit Testing, Amazon Web Services, Generative AI, Data Ethics, Application Development, DevOps, Large Language Modeling, Git (Version Control System), CI/CD, Artificial Intelligence, Application Lifecycle Management

      4.8
      Rating, 4.8 out of 5 stars
      ·
      11 reviews

      Beginner · Course · 1 - 4 Weeks

    • Status: Free
      Free
      A

      Amazon Web Services

      Developing Generative AI Solutions

      Skills you'll gain: Prompt Engineering, Generative AI, Application Development, Large Language Modeling, Business Solutions, Performance Improvement, Business Analysis, Performance Analysis

      4.6
      Rating, 4.6 out of 5 stars
      ·
      9 reviews

      Beginner · Course · 1 - 4 Weeks

    • Status: Free
      Free
      A

      Amazon Web Services

      Introduction to Generative AI - Art of the Possible

      Skills you'll gain: Generative AI, OpenAI, Amazon Web Services, Artificial Intelligence, ChatGPT, Business Strategies, Business Strategy, Machine Learning Methods

      4.5
      Rating, 4.5 out of 5 stars
      ·
      79 reviews

      Beginner · Course · 1 - 4 Weeks

    • Status: New
      New
      Status: Free Trial
      Free Trial
      A

      Amazon Web Services

      AWS Generative AI for Developers

      Skills you'll gain: Prompt Engineering, Generative AI Agents, Generative AI, Large Language Modeling, Artificial Intelligence and Machine Learning (AI/ML), AI Personalization, Applied Machine Learning, Data Ethics, Amazon Web Services, Cloud API, Automation, Artificial Intelligence, Data Processing, Application Programming Interface (API), Application Development, Data Integration, Natural Language Processing

      Intermediate · Professional Certificate · 1 - 3 Months

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

    • Fundamentals of Machine Learning and Artificial Intelligence: Amazon Web Services
    • Exploring Artificial Intelligence Use Cases and Applications: Amazon Web Services
    • AWS Generative AI Applications: Amazon Web Services
    • Generative AI with Large Language Models: DeepLearning.AI
    • AWS Services for AI Solutions: Amazon Web Services
    • Bringing Ideas to Life Using AI: Amazon Web Services
    • AI Fundamentals and the Cloud: Amazon Web Services
    • Getting Started with AWS Generative AI for Developers: Amazon Web Services
    • DevOps and AI on AWS: Upgrading Apps with Generative AI: Amazon Web Services
    • Developing Generative AI Solutions: Amazon Web Services

    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

    Start by considering how you want to apply AI—whether you're aiming to build foundational knowledge, develop models, or explore applied uses like chatbots or computer vision.

    • For foundational AI theory and applications, start with AI For Everyone by Andrew Ng (no coding required).
    • For hands-on model development and machine learning, explore the Machine Learning Specialization also by Andrew Ng.
    • Interested in building with AI tools? Consider Generative AI with Large Language Models from DeepLearning.AI and AWS.‎

    If you're new to AI or don't have a technical background, these beginner-friendly courses provide a solid starting point:

    • AI For Everyone – A non-technical overview of AI.
    • Introduction to Artificial Intelligence (AI) by IBM – Offers beginner-level instruction on AI concepts and practical use cases.
    • Fundamentals of Reinforcement Learning by the University of Alberta is accessible to those new to AI, with some math background. ‎
    • A course focuses on a specific topic. For example, AI For Everyone introduces AI without requiring coding skills.
    • A Specialization is a sequence of courses that build deeper expertise, like the AI Foundations for Everyone Specialization from IBM.
    • A Professional Certificate prepares you for specific job roles with portfolio-building and career insights—like the IBM AI Engineering Certificate.‎

    Yes. You can start learning artificial intelligence on Coursera for free in two ways:

    • Preview the first module of many artificial intelligence courses at no cost. This includes video lessons, readings, graded assignments, and Coursera Coach (where available).
    • Start a 7-day free trial for Specializations or Coursera Plus. This gives you full access to all course content across eligible programs within the timeframe of your trial.

    If you want to keep learning, earn a certificate in artificial intelligence, or unlock full course access after the preview or trial, you can upgrade 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.‎

    AI course content often covers machine learning, deep learning, neural networks, natural language processing, and computer vision. It may also include hands-on projects using tools like Python and TensorFlow. Courses like AI For Everyone by Andrew Ng on Coursera offer an accessible starting point, while more advanced programs dive deeper into algorithms and model training.‎

    AI design is the process of creating user experiences and systems that incorporate artificial intelligence. It includes designing for adaptability, transparency, and user trust in AI-driven products. Courses like Foundations in Human-Centered AI from Northeastern University on Coursera teach how to build intuitive, ethical, and effective AI-powered experiences.‎

    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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