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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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    Get in-depth knowledge of a subject by completing a series of courses and projects.
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    Explore the GenAI Course Catalog

    • U

      University of Michigan

      Generative AI in Business

      Skills you'll gain: Generative AI, Data Integration, Customer experience strategy (CX), Data Strategy, Business Planning, Solution Delivery, Innovation, Performance Analysis, Performance Measurement, Business Analysis, Project Risk Management, Project Performance, Data Quality, Risk Management, Business Process, Business Transformation, Prompt Engineering, Business Process Automation, Business Strategy, Solution Design

      4.8
      Rating, 4.8 out of 5 stars
      ·
      43 reviews

      Beginner · Specialization · 1 - 3 Months

    • Status: New
      New
      I

      IBM

      Generative AI for Executives and Business Leaders

      Skills you'll gain: Prompt Engineering, Risk Mitigation, Generative AI, Risk Analysis, Feasibility Studies, Data Ethics, Brainstorming, Generative AI Agents, Business Priorities, Return On Investment, Data Strategy, Business Leadership, Goal Setting, Artificial Intelligence, Business Solutions, Ideation, Business Strategy, Scalability, Business Transformation, Business Ethics

      4.7
      Rating, 4.7 out of 5 stars
      ·
      420 reviews

      Intermediate · Specialization · 1 - 4 Weeks

    • I

      IBM

      Generative AI for Project Managers

      Skills you'll gain: Prompt Engineering, ChatGPT, Generative AI, OpenAI, Project Management, Workflow Management, Project Management Life Cycle, Large Language Modeling, Team Building, Project Planning, Microsoft Copilot, Artificial Intelligence, Program Development, Project Documentation, Risk Management, Business Ethics, Image Analysis, Content Creation, Virtual Environment

      4.7
      Rating, 4.7 out of 5 stars
      ·
      6.2K reviews

      Intermediate · Specialization · 1 - 3 Months

    • I

      IBM

      Generative AI for Human Resources (HR) Professionals

      Skills you'll gain: Prompt Engineering, ChatGPT, Generative AI, HR Tech, Human Resources Software, Human Resources Management and Planning, OpenAI, Human Resources, Workforce Planning, Human Resource Strategy, Data Ethics, Large Language Modeling, Artificial Intelligence, Program Development, Employee Engagement, Image Analysis, Content Creation, Recruitment, Performance Appraisal, Employee Onboarding

      4.7
      Rating, 4.7 out of 5 stars
      ·
      6.2K reviews

      Intermediate · Specialization · 1 - 3 Months

    • I

      IBM

      Generative AI: Foundation Models and Platforms

      Skills you'll gain: Generative AI, OpenAI, Large Language Modeling, Prompt Engineering, IBM Cloud, Google Cloud Platform, Artificial Intelligence, Artificial Neural Networks, Deep Learning, Natural Language Processing, Application Development

      4.7
      Rating, 4.7 out of 5 stars
      ·
      200 reviews

      Beginner · Course · 1 - 4 Weeks

    • I

      IBM

      IBM AI Engineering

      Skills you'll gain: Prompt Engineering, Large Language Modeling, PyTorch (Machine Learning Library), Supervised Learning, Feature Engineering, Generative AI, Keras (Neural Network Library), Deep Learning, Jupyter, Natural Language Processing, Reinforcement Learning, Unsupervised Learning, Generative AI Agents, Scikit Learn (Machine Learning Library), Image Analysis, Data Manipulation, Tensorflow, Python Programming, Verification And Validation, Artificial Neural Networks

      Build toward a degree

      4.6
      Rating, 4.6 out of 5 stars
      ·
      20K reviews

      Intermediate · Professional Certificate · 3 - 6 Months

    • Status: New
      New
      Status: New AI skills
      New AI skills
      A

      Adobe

      Adobe Marketing Specialist

      Skills you'll gain: Content Marketing, Color Theory, Promotional Strategies, Social Media Content, Target Audience, Typography, Color Matching, Digital Marketing, Marketing Communications, Content Creation, Generative AI, Customer experience strategy (CX), Graphic and Visual Design, Social Media Strategy, Marketing Strategies, Cross-Channel Marketing, Marketing Effectiveness, Prompt Engineering, Adobe Creative Cloud, Data Ethics

      4.7
      Rating, 4.7 out of 5 stars
      ·
      735 reviews

      Beginner · Professional Certificate · 3 - 6 Months

    • I

      IBM

      IBM AI Developer

      Skills you'll gain: Generative AI, Prompt Engineering, Large Language Modeling, Software Development Life Cycle, Unit Testing, ChatGPT, HTML and CSS, Development Environment, Web Design and Development, Jupyter, Hypertext Markup Language (HTML), Software Engineering, Artificial Intelligence, Cascading Style Sheets (CSS), Software Development Tools, Web Development, Application Deployment, Automation, Interviewing Skills, Professional Networking

      Build toward a degree

      4.6
      Rating, 4.6 out of 5 stars
      ·
      68K reviews

      Beginner · Professional Certificate · 3 - 6 Months

    • V

      Vanderbilt University

      Generative AI for Leaders

      Skills you'll gain: Succession Planning, Business Writing, Generative AI, Leadership, Meeting Facilitation, Organizational Leadership, Business Leadership, Proposal Writing, Communication, Human Resource Strategy, Business Transformation, Artificial Intelligence, Internal Communications, Strategic Thinking, Decision Making

      4.8
      Rating, 4.8 out of 5 stars
      ·
      433 reviews

      Beginner · Course · 1 - 4 Weeks

    • I

      IBM

      Introduction to Artificial Intelligence (AI)

      Skills you'll gain: Large Language Modeling, Artificial Intelligence, Generative AI, Data Ethics, Artificial Intelligence and Machine Learning (AI/ML), Applied Machine Learning, Deep Learning, Artificial Neural Networks, Governance, Prompt Engineering, Machine Learning, Automation, Digital Transformation, Business Transformation, Business Technologies, Ethical Standards And Conduct, Computer Vision, Emerging Technologies, Natural Language Processing

      4.7
      Rating, 4.7 out of 5 stars
      ·
      19K reviews

      Beginner · Course · 1 - 4 Weeks

    • I

      IBM

      Generative AI for Data Engineers

      Skills you'll gain: Prompt Engineering, ChatGPT, Generative AI, Database Design, Data Pipelines, Query Languages, Extract, Transform, Load, OpenAI, Snowflake Schema, Star Schema, Data Warehousing, Data Ethics, Data Infrastructure, Data Architecture, Data Mining, Large Language Modeling, Data Synthesis, Artificial Intelligence, Program Development, Image Analysis

      4.7
      Rating, 4.7 out of 5 stars
      ·
      6.2K reviews

      Intermediate · Specialization · 1 - 3 Months

    • Status: New
      New
      V

      Vanderbilt University

      Agentic AI and AI Agents for Leaders

      Skills you'll gain: Prompt Engineering, ChatGPT, Generative AI Agents, Generative AI, Workflow Management, Agentic systems, Productivity, Artificial Intelligence, Artificial Intelligence and Machine Learning (AI/ML), AI Personalization, Business Process Automation, OpenAI, Personalized Service, Large Language Modeling, Automation, Business Transformation, Expense Management, Creative Thinking, Ingenuity, Technology Strategies

      4.8
      Rating, 4.8 out of 5 stars
      ·
      6.1K reviews

      Beginner · Specialization · 1 - 3 Months

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

    • Generative AI in Business: University of Michigan
    • Generative AI for Executives and Business Leaders: IBM
    • Generative AI for Project Managers: IBM
    • Generative AI for Human Resources (HR) Professionals: IBM
    • Generative AI: Foundation Models and Platforms: IBM
    • IBM AI Engineering: IBM
    • Adobe Marketing Specialist: Adobe
    • IBM AI Developer: IBM
    • Generative AI for Leaders: Vanderbilt University
    • Introduction to Artificial Intelligence (AI): 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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