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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
      I

      IBM

      Python for Data Science, AI & Development

      Skills you'll gain: Jupyter, Automation, Web Scraping, Python Programming, Data Manipulation, Data Import/Export, Scripting, Data Structures, Data Processing, Data Collection, Application Programming Interface (API), Pandas (Python Package), Programming Principles, NumPy, Object Oriented Programming (OOP), Computer Programming

      4.6
      Rating, 4.6 out of 5 stars
      ·
      41K reviews

      Beginner · Course · 1 - 3 Months

    • M

      Microsoft

      Generative AI for Data Science

      Skills you'll gain: Generative AI, Large Language Modeling, Data Ethics, Prompt Engineering, Feature Engineering, Operational Efficiency, Advertising, Marketing, Artificial Intelligence, Application Deployment, Anomaly Detection, Data Synthesis, Information Privacy

      4.4
      Rating, 4.4 out of 5 stars
      ·
      14 reviews

      Intermediate · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      U

      University of Michigan

      Using Generative AI for Learning Design Activities

      Skills you'll gain: Generative AI, ChatGPT, Prompt Engineering, Brainstorming, Course Development, Educational Materials, Instructional Design, Artificial Intelligence, Persona Development

      4.8
      Rating, 4.8 out of 5 stars
      ·
      13 reviews

      Beginner · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      M

      Microsoft

      Microsoft Azure AI Fundamentals AI-900 Exam Prep

      Skills you'll gain: Anomaly Detection, Image Analysis, Text Mining, Unsupervised Learning, Computer Vision, Artificial Intelligence, Natural Language Processing, Microsoft Azure, Artificial Intelligence and Machine Learning (AI/ML), Applied Machine Learning, Data Ethics, Machine Learning, Large Language Modeling, Regression Analysis, Predictive Modeling, Machine Learning Methods, Statistical Machine Learning, Machine Learning Algorithms, Classification And Regression Tree (CART), Automation

      4.5
      Rating, 4.5 out of 5 stars
      ·
      1.2K reviews

      Beginner · Specialization · 3 - 6 Months

    • Status: Free Trial
      Free Trial
      E

      Edureka

      Generative AI Applications and Popular Tools

      Skills you'll gain: ChatGPT, Generative AI, Computer Vision, Image Analysis, OpenAI, Prompt Engineering, Large Language Modeling, Software Development Tools, GitHub, Natural Language Processing, Application Programming Interface (API)

      4.7
      Rating, 4.7 out of 5 stars
      ·
      7 reviews

      Beginner · Course · 1 - 3 Months

    • C

      Coursera Instructor Network

      Generative AI for Data Visualization and Data Storytelling

      Skills you'll gain: Generative AI, Data Storytelling, Interactive Data Visualization, Data Visualization Software, Data Presentation, Data Wrangling, Data-Driven Decision-Making, Real Time Data, Large Language Modeling, Prompt Engineering

      3.9
      Rating, 3.9 out of 5 stars
      ·
      20 reviews

      Intermediate · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      D

      Duke University

      AI Product Management

      Skills you'll gain: Deep Learning, MLOps (Machine Learning Operations), Data Ethics, Data Management, Unsupervised Learning, Human Computer Interaction, User Experience Design, Classification And Regression Tree (CART), Data Quality, Human Centered Design, Machine Learning, Human Factors, Regression Analysis, Technical Management, Artificial Intelligence and Machine Learning (AI/ML), Applied Machine Learning, Artificial Neural Networks, Decision Tree Learning, Data Processing, Personally Identifiable Information

      4.7
      Rating, 4.7 out of 5 stars
      ·
      787 reviews

      Beginner · Specialization · 3 - 6 Months

    • Status: Free Trial
      Free Trial
      I

      IBM

      GenAI for Executives & Business Leaders: An Introduction

      Skills you'll gain: Generative AI, Data Ethics, Artificial Intelligence, Business Transformation, Business Leadership, Business Ethics, Governance, Digital Transformation, Data-Driven Decision-Making, Business Strategies, Customer experience improvement, Customer Service

      4.7
      Rating, 4.7 out of 5 stars
      ·
      388 reviews

      Beginner · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      F

      Fractal Analytics

      Leadership Strategies for AI and Generative AI

      Skills you'll gain: Data Ethics, Human Centered Design, Problem Solving, Critical Thinking and Problem Solving, Business Leadership, Critical Thinking, Generative AI, Artificial Intelligence, Business Strategy, Ethical Standards And Conduct, Analytical Skills, Data Strategy, Information Privacy, Business Transformation, Strategic Decision-Making, Organizational Strategy, Key Performance Indicators (KPIs), Strategic Leadership, Business Marketing, Data Security

      4.6
      Rating, 4.6 out of 5 stars
      ·
      150 reviews

      Beginner · Specialization · 3 - 6 Months

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

      IBM

      IBM Data Analyst

      Skills you'll gain: Data Storytelling, Dashboard, Data Visualization Software, Plotly, Data Wrangling, Data Visualization, Generative AI, SQL, Interactive Data Visualization, Exploratory Data Analysis, Data Cleansing, Big Data, Jupyter, Matplotlib, Data Analysis, Statistical Analysis, Pandas (Python Package), Data Manipulation, Excel Formulas, Professional Networking

      Build toward a degree

      4.6
      Rating, 4.6 out of 5 stars
      ·
      92K reviews

      Beginner · Professional Certificate · 3 - 6 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
      ·
      52 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

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

    • Python for Data Science, AI & Development: IBM
    • Generative AI for Data Science: Microsoft
    • Using Generative AI for Learning Design Activities : University of Michigan
    • Microsoft Azure AI Fundamentals AI-900 Exam Prep: Microsoft
    • Generative AI Applications and Popular Tools: Edureka
    • Generative AI for Data Visualization and Data Storytelling: Coursera Instructor Network
    • AI Product Management: Duke University
    • GenAI for Executives & Business Leaders: An Introduction: IBM
    • Leadership Strategies for AI and Generative AI: Fractal Analytics
    • IBM Data Analyst: 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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