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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

    • K

      Kennesaw State University

      AI for Everyday Life

      Skills you'll gain: Prompt Engineering, Generative AI, ChatGPT, Data Ethics, Artificial Intelligence, Communication, Predictive Modeling, Ethical Standards And Conduct, Natural Language Processing

      4.8
      Rating, 4.8 out of 5 stars
      ·
      79 reviews

      Beginner · Course · 1 - 4 Weeks

    • R

      Rutgers the State University of New Jersey

      Generative AI and ESG

      Skills you'll gain: Environmental Social And Corporate Governance (ESG), Generative AI, Data Ethics, Corporate Sustainability, Environmental Regulations, Regulatory Compliance, Sustainability Reporting, Business Ethics, Prompt Engineering, Artificial Intelligence, Product Development, Stakeholder Engagement

      4.8
      Rating, 4.8 out of 5 stars
      ·
      16 reviews

      Intermediate · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      U

      University of Virginia Darden School Foundation

      Content Marketing Using Generative AI

      Skills you'll gain: Large Language Modeling, Customer Insights, Keyword Research, Search Engine Marketing, AI Personalization, Pay Per Click Advertising, Content Marketing, Marketing Strategies, Google Ads, Digital Marketing, Generative AI, Marketing Analytics, Consumer Behaviour, Persona Development

      4
      Rating, 4 out of 5 stars
      ·
      54 reviews

      Beginner · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      I

      IBM

      Key Technologies for Business

      Skills you'll gain: Cloud Computing Architecture, Cloud Services, Large Language Modeling, Cloud Security, Cloud Technologies, Data Literacy, Cloud Infrastructure, Data Mining, Artificial Intelligence, Cloud Platforms, Cloud Hosting, Cloud Engineering, OpenAI, Generative AI, Data Ethics, Artificial Intelligence and Machine Learning (AI/ML), Big Data, Cloud Computing, Data Analysis, Data Science

      4.7
      Rating, 4.7 out of 5 stars
      ·
      101K reviews

      Beginner · Specialization · 3 - 6 Months

    • Status: New
      New
      I

      INSEAD

      Generative AI and Blockchain

      Skills you'll gain: Agentic systems, Blockchain, Emerging Technologies, AI Personalization, Artificial Intelligence, Generative AI, Semantic Web, Web Applications, Business Ethics, Digital Assets, Governance

      5
      Rating, 5 out of 5 stars
      ·
      17 reviews

      Mixed · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      G

      Google Cloud

      Introduction to Responsible AI

      Skills you'll gain: Data Ethics, Artificial Intelligence, Accountability, Business Ethics, Governance, Organizational Effectiveness, Ethical Standards And Conduct

      4.7
      Rating, 4.7 out of 5 stars
      ·
      686 reviews

      Beginner · Course · 1 - 4 Weeks

    • L

      Lund University

      AI & Law

      Skills you'll gain: Law, Regulation, and Compliance, Artificial Intelligence, Intellectual Property, Legal Proceedings, Labor Law, Legal Research, Innovation, Criminal Investigation and Forensics, Public Administration, Healthcare Industry Knowledge, Predictive Modeling

      4.7
      Rating, 4.7 out of 5 stars
      ·
      676 reviews

      Beginner · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      F

      Fractal Analytics

      Generative AI for Business - A Leaders' Handbook

      Skills you'll gain: Generative AI, Business Leadership, Key Performance Indicators (KPIs), Strategic Leadership, Business Marketing, Business Transformation, Deep Learning, Business Strategy, Data Ethics, Artificial Intelligence, Technical Consulting, Data Governance, Customer Engagement, Product Development, Ethical Standards And Conduct

      4.4
      Rating, 4.4 out of 5 stars
      ·
      26 reviews

      Beginner · Course · 1 - 4 Weeks

    • Status: New
      New
      N

      Northeastern University

      Generative AI: Foundations and Concepts

      Skills you'll gain: Generative AI, Artificial Neural Networks, Deep Learning, Bayesian Network, Machine Learning Methods, Artificial Intelligence and Machine Learning (AI/ML), Mathematical Modeling, Computer Vision, Applied Mathematics, Machine Learning, Network Architecture, Probability & Statistics

      Intermediate · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      I

      IBM

      IBM Product Manager

      Skills you'll gain: Usability Testing, New Product Development, Product Management, Product Lifecycle Management, Agile Software Development, Product Development, Innovation, Product Roadmaps, Agile Methodology, Kanban Principles, Product Planning, Product Strategy, Product Testing, Project Management Life Cycle, Agile Project Management, User Story, Stakeholder Engagement, Sprint Retrospectives, Stakeholder Management, Competitive Analysis

      4.8
      Rating, 4.8 out of 5 stars
      ·
      3.6K reviews

      Beginner · Professional Certificate · 3 - 6 Months

    • Status: Free Trial
      Free Trial
      Status: AI skills
      AI skills
      I

      IBM

      IBM Full Stack Software Developer

      Skills you'll gain: Prompt Engineering, Istio, HTML and CSS, Node.JS, Software Development Life Cycle, Software Architecture, Cloud Computing Architecture, Server Side, Application Deployment, React Redux, Kubernetes, Cloud Services, Django (Web Framework), Object-Relational Mapping, Git (Version Control System), Flask (Web Framework), Full-Stack Web Development, Cloud Computing, Jupyter, Interviewing Skills

      Build toward a degree

      4.6
      Rating, 4.6 out of 5 stars
      ·
      55K reviews

      Beginner · Professional Certificate · 3 - 6 Months

    • Status: Free Trial
      Free Trial
      D

      DeepLearning.AI

      AI for Medical Diagnosis

      Skills you'll gain: Image Analysis, Predictive Modeling, Artificial Intelligence and Machine Learning (AI/ML), Data Processing, Applied Machine Learning, Medical Imaging, Machine Learning Algorithms, Computer Vision, Deep Learning, Natural Language Processing, Medical Science and Research, Radiology, Artificial Neural Networks, Probability & Statistics

      4.7
      Rating, 4.7 out of 5 stars
      ·
      2K reviews

      Intermediate · Course · 1 - 4 Weeks

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

    • AI for Everyday Life: Kennesaw State University
    • Generative AI and ESG: Rutgers the State University of New Jersey
    • Content Marketing Using Generative AI : University of Virginia Darden School Foundation
    • Key Technologies for Business: IBM
    • Generative AI and Blockchain: INSEAD
    • Introduction to Responsible AI: Google Cloud
    • AI & Law : Lund University
    • Generative AI for Business - A Leaders' Handbook: Fractal Analytics
    • Generative AI: Foundations and Concepts: Northeastern University
    • IBM Product Manager: IBM

    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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