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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 Artificial Intelligence Course for Your Goals

    • Status: New
      New
      P

      Packt

      Agile Product Owner Level 1 – Certification & Mock Exams

      Skills you'll gain: Agile Product Development, Sprint Retrospectives, Agile Methodology, Jira (Software), Agile Project Management, Sprint Planning, Project Estimation, Backlogs, Project Management Software, Product Requirements, Product Management, User Story, Estimation, ChatGPT, Team Management, Artificial Intelligence, Prioritization, Continuous Improvement Process

      Intermediate · Course · 3 - 6 Months

    • Status: New
      New
      G

      Google Cloud

      Introduction to AI and Machine Learning on GC - Deutsch

      Skills you'll gain: Generative AI, Google Cloud Platform, MLOps (Machine Learning Operations), Cloud Development, Artificial Intelligence and Machine Learning (AI/ML), Natural Language Processing, Applied Machine Learning, Large Language Modeling, Artificial Intelligence, Machine Learning, Cloud Infrastructure, Predictive Modeling

      Beginner · Course · 1 - 3 Months

    • G

      Google Cloud

      Machine Learning in the Enterprise - 한국어

      Skills you'll gain: Data Management, MLOps (Machine Learning Operations), Data Governance, Data Processing, Workflow Management, Google Cloud Platform, Applied Machine Learning, Data Pipelines, Predictive Modeling, Machine Learning, Artificial Intelligence and Machine Learning (AI/ML), Continuous Monitoring, Containerization

      Intermediate · Course · 1 - 3 Months

    • G

      Google Cloud

      Responsible AI: Applying AI Principles with GC - Italiano

      Skills you'll gain: Data Ethics, Business Ethics, Artificial Intelligence, Google Cloud Platform, Governance, Ethical Standards And Conduct, Governance Risk Management and Compliance, Artificial Intelligence and Machine Learning (AI/ML), Operational Analysis, Procedure Development

      Beginner · Course · 1 - 3 Months

    • Status: New
      New
      G

      Google Cloud

      Gen AI: Unlock Foundational Concepts

      Skills you'll gain: Generative AI, Data Management, Google Cloud Platform, Unstructured Data, Large Language Modeling, Data-Driven Decision-Making, Data Ethics, Artificial Intelligence and Machine Learning (AI/ML), Business Logic, Artificial Intelligence, Deep Learning, Machine Learning, Innovation, Data Security

      Beginner · Course · 1 - 4 Weeks

    • G

      Google Cloud

      Launching into Machine Learning - 한국어

      Skills you'll gain: Applied Machine Learning, Machine Learning Algorithms, Data Quality, Machine Learning, Data Cleansing, Supervised Learning, Exploratory Data Analysis, Google Cloud Platform, Regression Analysis, Big Data, Sampling (Statistics), Performance Tuning

      Beginner · Course · 1 - 3 Months

    • Status: Free
      Free
      G

      Google Cloud

      Vector Search and Embeddings - 繁體中文

      Skills you'll gain: Large Language Modeling, Artificial Intelligence, Artificial Intelligence and Machine Learning (AI/ML), Google Cloud Platform, Natural Language Processing, Application Programming Interface (API), Algorithms

      Intermediate · Course · 1 - 4 Weeks

    • Status: Free
      Free
      G

      Google Cloud

      Encoder-Decoder Architecture - 日本語版

      Skills you'll gain: Tensorflow, Keras (Neural Network Library), Applied Machine Learning, Machine Learning Methods, Deep Learning, Natural Language Processing, Machine Learning

      Advanced · Course · 1 - 4 Weeks

    • Status: New
      New
      G

      Google Cloud

      Geliştiriciler İçin Sorumlu Yapay Zeka

      Skills you'll gain: Cloud Security, Generative AI, Data Ethics, Information Privacy, Google Cloud Platform, Artificial Intelligence, Data Security, Information Systems Security, Testability, Maintainability, Open Source Technology, Safety and Security, Artificial Intelligence and Machine Learning (AI/ML), Data Visualization Software, Applied Machine Learning, Machine Learning, Software Documentation, Data Validation, Data Quality, Data Analysis

      Intermediate · Specialization · 1 - 3 Months

    • G

      Google Cloud

      Responsible AI: Applying AI Principles with Google Cloud - Deutsch

      Skills you'll gain: Data Ethics, Artificial Intelligence, Governance, Business Ethics, Artificial Intelligence and Machine Learning (AI/ML), Machine Learning, Ethical Standards And Conduct, Google Cloud Platform, Scenario Testing, Decision Making

      Beginner · Course · 1 - 3 Months

    • G

      Google Cloud

      Responsible AI for Developers: Fairness & Bias - Español

      Skills you'll gain: Data Ethics, Google Cloud Platform, Artificial Intelligence, Artificial Intelligence and Machine Learning (AI/ML), Open Source Technology, Machine Learning, Data Quality, Data Analysis, Data Validation

      Intermediate · Course · 1 - 3 Months

    • G

      Google Cloud

      Build, Train and Deploy ML Models with Keras on Google Cloud - 日本語版

      Skills you'll gain: Tensorflow, Keras (Neural Network Library), Data Pipelines, Google Cloud Platform, Deep Learning, MLOps (Machine Learning Operations), Data Processing, Artificial Neural Networks, Application Deployment, Scalability, Machine Learning, Data Transformation, Application Programming Interface (API)

      Intermediate · Course · 1 - 3 Months

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    1…208209210…220

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

    • Agile Product Owner Level 1 – Certification & Mock Exams: Packt
    • Introduction to AI and Machine Learning on GC - Deutsch: Google Cloud
    • Machine Learning in the Enterprise - 한국어: Google Cloud
    • Responsible AI: Applying AI Principles with GC - Italiano: Google Cloud
    • Gen AI: Unlock Foundational Concepts: Google Cloud
    • Launching into Machine Learning - 한국어: Google Cloud
    • Vector Search and Embeddings - 繁體中文: Google Cloud
    • Encoder-Decoder Architecture - 日本語版: Google Cloud
    • Geliştiriciler İçin Sorumlu Yapay Zeka: Google Cloud
    • Responsible AI: Applying AI Principles with Google Cloud - Deutsch: Google Cloud

    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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