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    • Generative Ai

    Generative AI Courses Online

    Explore generative AI for creating new content. Learn about GANs, creative applications, and AI-generated media.

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    Explore the GenAI Course Catalog

    • Status: Free Trial
      Free Trial
      M

      Microsoft

      Microsoft Front-End Developer

      Skills you'll gain: GitHub, C# (Programming Language), Secure Coding, HTML and CSS, User Interface and User Experience (UI/UX) Design, Figma (Design Software), Open Web Application Security Project (OWASP), Git (Version Control System), Object Oriented Programming (OOP), Web Development, Web Design, Debugging, Mockups, Web Content Accessibility Guidelines, Microsoft Copilot, Adobe XD, Authentications, Front-End Web Development, Programming Principles, UI Components

      4.4
      Rating, 4.4 out of 5 stars
      ·
      94 reviews

      Beginner · Professional Certificate · 3 - 6 Months

    • Status: Free Trial
      Free Trial
      J

      Johns Hopkins University

      Linear Algebra from Elementary to Advanced

      Skills you'll gain: Linear Algebra, Algebra, Applied Mathematics, Artificial Intelligence and Machine Learning (AI/ML), Mathematical Modeling, Advanced Mathematics, Engineering Analysis, Mathematical Theory & Analysis, Numerical Analysis, Geometry, Graph Theory, Applied Machine Learning, Markov Model, Probability

      4.7
      Rating, 4.7 out of 5 stars
      ·
      180 reviews

      Beginner · Specialization · 3 - 6 Months

    • F

      Fractal Analytics

      Introduction to Vertex AI

      Skills you'll gain: MLOps (Machine Learning Operations), Applied Machine Learning, Generative AI, Artificial Intelligence and Machine Learning (AI/ML), Google Cloud Platform, Large Language Modeling, User Interface (UI), Cloud Computing

      4.9
      Rating, 4.9 out of 5 stars
      ·
      8 reviews

      Beginner · Course · 1 - 4 Weeks

    • Status: New
      New
      C

      Coursera Instructor Network

      Creating Impactful Data Visualizations with Generative AI

      Skills you'll gain: Data Storytelling, Data Presentation, Generative AI, Data Ethics, Prompt Engineering, Interactive Data Visualization, Plotly, Data Visualization Software, Data-Driven Decision-Making, Matplotlib, Seaborn, Artificial Intelligence, Automation, Data Integrity

      Intermediate · Course · 1 - 4 Weeks

    • G

      Google Cloud

      Website Modernization with Generative AI on Google Cloud

      Skills you'll gain: Generative AI, Web Content, Web Analytics and SEO, AI Personalization, Information Architecture, Google Cloud Platform, Prompt Engineering, Image Analysis, Large Language Modeling, Performance Testing

      Beginner · Course · 1 - 4 Weeks

    • U

      University of Michigan

      Learning Languages with AI

      Skills you'll gain: Prompt Engineering, Generative AI, AI Personalization, Language Competency, Language Learning, ChatGPT, Artificial Intelligence, Education Software and Technology, Data Ethics

      3.7
      Rating, 3.7 out of 5 stars
      ·
      7 reviews

      Beginner · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      D

      Duke University

      Rust Programming

      Skills you'll gain: Rust (Programming Language), Containerization, Data Pipelines, CI/CD, Docker (Software), DevOps, Jenkins, Unit Testing, Large Language Modeling, Test Case, Restful API, Serverless Computing, Generative AI, Command-Line Interface, Amazon Web Services, Software Testing, Maintainability, Prometheus (Software), System Monitoring, MLOps (Machine Learning Operations)

      4
      Rating, 4 out of 5 stars
      ·
      209 reviews

      Beginner · Specialization · 3 - 6 Months

    • D

      DeepLearning.AI

      Искусственный Интеллект (ИИ) для всех

      Skills you'll gain: Market Opportunities, Technical Management, Project Management, Artificial Intelligence and Machine Learning (AI/ML), Data Ethics, Artificial Intelligence, Data Science, Artificial Neural Networks, Machine Learning, Strategic Thinking, Discussion Facilitation, Business Ethics, Deep Learning

      4.8
      Rating, 4.8 out of 5 stars
      ·
      224 reviews

      Beginner · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      I

      IBM

      AI Capstone Project with Deep Learning

      Skills you'll gain: PyTorch (Machine Learning Library), Keras (Neural Network Library), Image Analysis, Data Manipulation, Deep Learning, Verification And Validation, Data Processing, Predictive Modeling, Applied Machine Learning, Computer Vision, Scientific Visualization, Artificial Neural Networks

      4.5
      Rating, 4.5 out of 5 stars
      ·
      643 reviews

      Advanced · Course · 1 - 4 Weeks

    • Status: New
      New
      Status: Free Trial
      Free Trial
      S

      Snowflake

      Snowflake Data Engineering

      Skills you'll gain: Data Pipelines, Database Management, Data Manipulation, Databases, Data Transformation, Extract, Transform, Load, Data Lakes, Data Warehousing, DevOps, Data Integration, SQL, Cloud Applications, CI/CD, Application Development, Artificial Intelligence and Machine Learning (AI/ML), Real Time Data, Role-Based Access Control (RBAC), Data Import/Export, Stored Procedure, Command-Line Interface

      4.8
      Rating, 4.8 out of 5 stars
      ·
      183 reviews

      Beginner · Professional Certificate · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      L

      LearnQuest

      Ethics in the Age of AI

      Skills you'll gain: Data Ethics, Predictive Modeling, OpenAI, Algorithms, Data Collection, Machine Learning, Predictive Analytics, Artificial Intelligence, Information Privacy, Game Theory, Large Language Modeling, Ethical Standards And Conduct, Personally Identifiable Information, Statistical Modeling, Analytical Skills, Analysis, Data Security, Business Ethics, Vulnerability Assessments, Risk Modeling

      4.6
      Rating, 4.6 out of 5 stars
      ·
      779 reviews

      Beginner · Specialization · 3 - 6 Months

    • N

      National Taiwan University

      機器學習基石上 (Machine Learning Foundations)---Mathematical Foundations

      Skills you'll gain: Supervised Learning, Classification And Regression Tree (CART), Machine Learning, Applied Mathematics, Theoretical Computer Science, Artificial Intelligence and Machine Learning (AI/ML), Regression Analysis, Algorithms, Probability & Statistics

      4.9
      Rating, 4.9 out of 5 stars
      ·
      932 reviews

      Beginner · Course · 1 - 3 Months

    Generative AI learners also search

    Beginner Generative AI
    Generative AI Projects
    Advanced Generative AI
    Artificial Intelligence
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    1…464748…181

    In summary, here are 10 of our most popular generative ai courses

    • Microsoft Front-End Developer: Microsoft
    • Linear Algebra from Elementary to Advanced: Johns Hopkins University
    • Introduction to Vertex AI : Fractal Analytics
    • Creating Impactful Data Visualizations with Generative AI: Coursera Instructor Network
    • Website Modernization with Generative AI on Google Cloud: Google Cloud
    • Learning Languages with AI: University of Michigan
    • Rust Programming: Duke University
    • Искусственный Интеллект (ИИ) для всех: DeepLearning.AI
    • AI Capstone Project with Deep Learning : IBM
    • Snowflake Data Engineering: Snowflake

    Frequently Asked Questions about Generative Ai

    Understanding why you want to learn generative AI, whether for research, creative projects, or enhancing AI skills, will guide your efforts. Regular practice with AI models and relevant data is essential. Join AI communities like GitHub or Reddit’s r/MachineLearning for resources and support. Work on real projects like building generative models or experimenting with neural networks. Coursera’s Generative AI Fundamentals Specialization by IBM is an excellent series of courses to start with.‎

    Generative AI courses on Coursera provide learners with the skills to engage with one of the most innovative areas of artificial intelligence:

    • Understanding the principles behind generative models like GANs (Generative Adversarial Networks) and VAEs (Variational Autoencoders).
    • Techniques for creating synthetic data, artworks, and realistic simulations.
    • Application of generative AI in various domains such as music, video, and text.
    • Programming skills to develop generative models using TensorFlow and PyTorch.
    • Ethical considerations in deploying generative AI technologies.
    • Best practices for training and optimizing generative models to ensure quality and efficiency.‎

    Generative AI courses on Coursera are structured to accommodate learners with different levels of expertise:

    • Beginners can start with introductory courses that cover basic AI concepts and foundational machine learning knowledge.
    • Intermediate learners can improve their understanding of deep learning and start working with generative models.
    • Advanced participants can explore cutting-edge applications and techniques in generative AI.‎

    Upon completing Generative AI courses on Coursera, learners can obtain credentials that may assist in their professional and academic pursuits:

    • Professional certificates that signify a foundational understanding and practical skills in generative AI.
    • Specializations that focus on specific aspects of generative AI, such as neural networks or creative applications.
    • Certificates that can be showcased to employers and academic institutions as evidence of specialized knowledge in a rapidly advancing field.‎

    Skills in Generative AI open the door to a range of cutting-edge career opportunities:

    • AI Research Scientist, developing new methods and technologies in generative AI.
    • Creative Technologist, integrating AI into digital art, marketing, and entertainment.
    • Machine Learning Engineer, specializing in building and training generative models.
    • Product Developer, using generative AI to innovate product designs and features.
    • Data Scientist, employing generative models for data augmentation and complex analyses.‎

    Yes, Coursera offers a variety of free courses across many topics, including generative AI. 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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