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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

      Data Visualization and Reporting with Generative AI

      Skills you'll gain: Data Storytelling, Data Presentation, Dashboard, Interactive Data Visualization, Data Visualization, Infographics, Data Visualization Software, Business Reporting, Data Ethics, Data-Driven Decision-Making, Generative AI, Web Content Accessibility Guidelines, Artificial Intelligence

      4.6
      Rating, 4.6 out of 5 stars
      ·
      9 reviews

      Intermediate · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      U

      University of Virginia Darden School Foundation

      Advertising in the Age of Generative AI

      Skills you'll gain: Branding, Brand Awareness, Brand Strategy, Marketing Design, Advertising, Brand Management, Brand Loyalty, Marketing Psychology, Generative AI Agents, Digital Advertising

      4.7
      Rating, 4.7 out of 5 stars
      ·
      27 reviews

      Beginner · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      U

      University of California, Santa Cruz

      C and Go: Classical and Modern Programming

      Skills you'll gain: Go (Programming Language), Debugging, C (Programming Language), Data Structures, C++ (Programming Language), Object Oriented Design, Object Oriented Programming (OOP), Code Review, Programming Principles, Computer Programming, Unit Testing, Algorithms, Command-Line Interface, Program Development, Integrated Development Environments, Software Testing, Computer Science, Computational Thinking, File Management, Integration Testing

      4.5
      Rating, 4.5 out of 5 stars
      ·
      7.1K reviews

      Intermediate · Specialization · 3 - 6 Months

    • Status: New
      New
      Status: Free Trial
      Free Trial
      W

      Whizlabs

      Exam Prep (NCA-GENL): NVIDIA-Certified Generative AI LLMs

      Skills you'll gain: Prompt Engineering, Large Language Modeling, Generative AI, Deep Learning, Unsupervised Learning, Natural Language Processing, Time Series Analysis and Forecasting, Data Visualization, Supervised Learning, Data Ethics, Image Analysis, Machine Learning, Text Mining, Applied Machine Learning, Computer Vision, Data Processing, Artificial Intelligence, Scatter Plots, PyTorch (Machine Learning Library), Artificial Intelligence and Machine Learning (AI/ML)

      Intermediate · Specialization · 3 - 6 Months

    • Status: Free Trial
      Free Trial
      S

      Scrimba

      Learn AI Agents

      Skills you'll gain: Prompt Engineering, Generative AI Agents, User Interface (UI), ChatGPT, User Interface and User Experience (UI/UX) Design, Human Computer Interaction, OpenAI, Artificial Intelligence

      4.7
      Rating, 4.7 out of 5 stars
      ·
      35 reviews

      Intermediate · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      I

      IBM

      IBM Deep Learning with PyTorch, Keras and Tensorflow

      Skills you'll gain: PyTorch (Machine Learning Library), Keras (Neural Network Library), Deep Learning, Reinforcement Learning, Unsupervised Learning, Image Analysis, Data Manipulation, Tensorflow, Verification And Validation, Generative AI, Artificial Neural Networks, Data Processing, Applied Machine Learning, Artificial Intelligence and Machine Learning (AI/ML), Computer Vision, Artificial Intelligence, Scientific Visualization, Time Series Analysis and Forecasting, Predictive Modeling, Natural Language Processing

      4.5
      Rating, 4.5 out of 5 stars
      ·
      3.8K reviews

      Intermediate · Professional Certificate · 3 - 6 Months

    • Status: Free Trial
      Free Trial
      U

      University of Virginia Darden School Foundation

      Customer Service in the Age of Generative AI

      Skills you'll gain: ChatGPT, Personalized Service, Prompt Engineering, AI Personalization, Customer Engagement, Generative AI, Customer Service, Target Audience, Customer experience improvement, Customer Support, Performance Analysis, Performance Improvement

      4.3
      Rating, 4.3 out of 5 stars
      ·
      23 reviews

      Beginner · Course · 1 - 4 Weeks

    • U

      University of California, Davis

      AI for Knowledge Workers

      Skills you'll gain: Prompt Engineering, Generative AI, ChatGPT, Data Ethics, Artificial Intelligence and Machine Learning (AI/ML), Artificial Intelligence, Innovation, Artificial Neural Networks, Brainstorming, Machine Learning, Deep Learning, Workforce Development, Content Creation, Emerging Technologies, Information Privacy, Safety and Security

      4.6
      Rating, 4.6 out of 5 stars
      ·
      136 reviews

      Beginner · Course · 1 - 4 Weeks

    • T

      The University of Edinburgh

      Data Ethics, AI and Responsible Innovation

      Skills you'll gain: Data Ethics, Law, Regulation, and Compliance, Data Security, Information Privacy, Data Governance, Big Data, Analytical Skills, Ethical Standards And Conduct, Artificial Intelligence, Machine Learning, Social Sciences, Diversity Awareness, Accountability, Decision Making, Innovation, Algorithms

      5
      Rating, 5 out of 5 stars
      ·
      20 reviews

      Intermediate · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      G

      Google Cloud

      Digital Transformation Using AI/ML with Google Cloud

      Skills you'll gain: Serverless Computing, Digital Transformation, Cloud Services, Data Ethics, Cloud Infrastructure, Google Cloud Platform, Application Programming Interface (API), Applied Machine Learning, Hybrid Cloud Computing, Infrastructure As A Service (IaaS), Cloud Computing, Public Cloud, Technical Management, Business Transformation, Containerization, Technology Strategies, Multi-Cloud, IT Management, Machine Learning, Software As A Service

      4.7
      Rating, 4.7 out of 5 stars
      ·
      7.4K reviews

      Beginner · Specialization · 3 - 6 Months

    • Status: Free Trial
      Free Trial
      M

      Microsoft

      Microsoft Copilot: Your Everyday AI Companion

      Skills you'll gain: Prompt Engineering, Microsoft Copilot, Regulation and Legal Compliance, Data Ethics, Generative AI, Data Governance, Customer Relationship Management (CRM) Software, Marketing Automation, Microsoft 365, Customer experience improvement, Compliance Training, Business Process Automation, Workflow Management, Compliance Management, Self Service Technologies, Sales Process, Sales Strategy, Microsoft Teams, Customer Service, Information Privacy

      4.4
      Rating, 4.4 out of 5 stars
      ·
      53 reviews

      Beginner · Specialization · 1 - 3 Months

    • C

      Coursera Instructor Network

      Leveraging AI for Enhanced Content Creation

      Skills you'll gain: Generative AI, Advertising, Advertising Campaigns, Content Creation, ChatGPT, Prompt Engineering, Content Marketing, Web Content, Data Ethics, Artificial Intelligence, Storytelling, Video Editing

      4.6
      Rating, 4.6 out of 5 stars
      ·
      115 reviews

      Beginner · Course · 1 - 4 Weeks

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

    • Data Visualization and Reporting with Generative AI: Microsoft
    • Advertising in the Age of Generative AI : University of Virginia Darden School Foundation
    • C and Go: Classical and Modern Programming: University of California, Santa Cruz
    • Exam Prep (NCA-GENL): NVIDIA-Certified Generative AI LLMs: Whizlabs
    • Learn AI Agents: Scrimba
    • IBM Deep Learning with PyTorch, Keras and Tensorflow: IBM
    • Customer Service in the Age of Generative AI : University of Virginia Darden School Foundation
    • AI for Knowledge Workers: University of California, Davis
    • Data Ethics, AI and Responsible Innovation: The University of Edinburgh
    • Digital Transformation Using AI/ML with Google Cloud: Google Cloud

    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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