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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 Artificial Intelligence Course for Your Goals

    • G

      Google Cloud

      Kodlayıcı-Kod Çözücü Mimarisi

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

      Advanced · Course · 1 - 4 Weeks

    • G

      Google Cloud

      Gemini for Data Scientists and Analysts - 日本語版

      Skills you'll gain: Marketing Analytics, Generative AI, Customer Analysis, Customer Insights, Big Data, Marketing Strategies, Forecasting, Predictive Analytics, Data Analysis, Artificial Intelligence and Machine Learning (AI/ML)

      Beginner · Course · 1 - 4 Weeks

    • G

      Google Cloud

      Introduction to Gemini for Google Workspace - 日本語版

      Skills you'll gain: Productivity Software, Google Workspace, Generative AI, Operational Efficiency, Process Improvement, Artificial Intelligence, Data Ethics, Google Docs, Gmail, Google Sheets

      Beginner · Course · 1 - 4 Weeks

    • G

      Google Cloud

      Responsible AI for Developers: Fairness & Bias - Português

      Skills you'll gain: Data Ethics, Artificial Intelligence, Google Cloud Platform, Machine Learning, Data Quality, Data Analysis

      Intermediate · Course · 1 - 3 Months

    • G

      Google Cloud

      Responsible AI for Developers: Fairness & Bias - Italiano

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

      Intermediate · Course · 1 - 3 Months

    • G

      Google Cloud

      Responsible AI for Developers: Privacy & Safety - Deutsch

      Skills you'll gain: Information Privacy, Personally Identifiable Information, Data Security, Cloud Security, Generative AI, Data Ethics, Information Systems Security, Google Cloud Platform, Artificial Intelligence, Safety and Security

      Intermediate · Course · 1 - 3 Months

    • G

      Google Cloud

      Work with Gemini Models in BigQuery - Français

      Skills you'll gain: SQL, Generative AI, Applied Machine Learning, Google Cloud Platform, Big Data, Customer Relationship Management, Jupyter, Workflow Management, Artificial Intelligence and Machine Learning (AI/ML), Python Programming

      Intermediate · Course · 1 - 4 Weeks

    • Status: New
      New
      P

      Packt

      Developing RAG Apps with LlamaIndex and JS

      Skills you'll gain: Full-Stack Web Development, JavaScript Frameworks, Node.JS, Application Development, Data Maintenance, Restful API, Web Applications, Development Environment, Large Language Modeling, OpenAI, Generative AI, API Design, Application Deployment, Data Storage, Artificial Intelligence

      Intermediate · Course · 1 - 3 Months

    • G

      Google Cloud

      Responsible AI for Developers: Interpretability & Transparency - Bahasa Indonesia

      Skills you'll gain: Data Ethics, Artificial Intelligence and Machine Learning (AI/ML), Artificial Intelligence, Software Visualization, Machine Learning, Technical Communication

      Intermediate · Course · 1 - 4 Weeks

    • G

      Google Cloud

      Applying Machine Learning to Your Data with GC - Português

      Skills you'll gain: Google Cloud Platform, Applied Machine Learning, Machine Learning, Big Data, Artificial Intelligence and Machine Learning (AI/ML), Deep Learning, Natural Language Processing, Image Analysis, Application Programming Interface (API), Performance Metric

      Beginner · Course · 1 - 3 Months

    • G

      Google Cloud

      Responsible AI for Developers: Interpretability & Transparency - Français

      Skills you'll gain: Data Ethics, Artificial Intelligence and Machine Learning (AI/ML), Artificial Intelligence, MLOps (Machine Learning Operations), Machine Learning, Machine Learning Methods

      Intermediate · Course · 1 - 4 Weeks

    • G

      Google Cloud

      Gemini for Data Scientists and Analysts-Português Brasileiro

      Skills you'll gain: Marketing Strategies, Customer Analysis, Big Data, Forecasting, Customer Insights, Predictive Analytics, Analytics, Target Audience, Data Analysis, Marketing Analytics, Artificial Intelligence, Predictive Modeling, Artificial Intelligence and Machine Learning (AI/ML), Applied Machine Learning, Google Cloud Platform, Generative AI

      Beginner · Course · 1 - 4 Weeks

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    1…211212213…219

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

    • Kodlayıcı-Kod Çözücü Mimarisi: Google Cloud
    • Gemini for Data Scientists and Analysts - 日本語版: Google Cloud
    • Introduction to Gemini for Google Workspace - 日本語版: Google Cloud
    • Responsible AI for Developers: Fairness & Bias - Português: Google Cloud
    • Responsible AI for Developers: Fairness & Bias - Italiano: Google Cloud
    • Responsible AI for Developers: Privacy & Safety - Deutsch: Google Cloud
    • Work with Gemini Models in BigQuery - Français: Google Cloud
    • Developing RAG Apps with LlamaIndex and JS: Packt
    • Responsible AI for Developers: Interpretability & Transparency - Bahasa Indonesia: Google Cloud
    • Applying Machine Learning to Your Data with GC - Português: 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

    • Strong mathematics foundation (calculus, linear algebra, probability)
    • Basic programming experience (typically Python)
    • Understanding of basic statistics
    • However, there are also introductory courses specifically designed for beginners with no technical background. These courses focus on AI concepts and applications before diving into technical implementation.‎
    • Broader coverage of intelligence simulation (natural language processing, computer vision, robotics)
    • Focus on decision-making and reasoning systems
    • Coverage of symbolic AI and knowledge representation
    • Ethics and philosophical implications of AI
    • Machine learning courses focus more specifically on algorithms that learn from data. Many learners find it beneficial to start with machine learning before moving to broader AI topics.‎
    • Building and deploying AI models
    • Working with popular AI frameworks (TensorFlow, PyTorch)
    • Implementing natural language processing systems
    • Developing computer vision applications
    • Creating autonomous decision-making systems
    • Ethical AI development and deployment
    • Projects are designed to mirror real-world scenarios you'll encounter in AI roles.‎

    AI expertise opens doors to various roles:

    • AI Engineer/Developer
    • Machine Learning Engineer
    • Natural Language Processing (NLP) Specialist
    • Computer Vision Engineer
    • AI Research Scientist
    • AI Ethics Consultant
    • AI Product Manager
    • The field continues to grow with new specializations emerging regularly. Many courses include guidance on career paths and job preparation. Use this decision tree guide to explore AI career paths.‎

    Yes, Coursera offers a variety of free courses across many topics, including artificial intelligence. While you can access most course materials for free by auditing the courses, this does not include graded assignments or a completion certificate. For those looking to obtain a certificate to showcase their learning or enhance their professional profile, Coursera provides the option to purchase the course. Additionally, Coursera offers free trials or financial aid to learners who qualify, making certifications more accessible to everyone.‎

    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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