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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

    • G

      Google Cloud

      Introduction to Generative AI - 繁體中文

      Skills you'll gain: Generative AI, Google Cloud Platform, Artificial Intelligence, Artificial Intelligence and Machine Learning (AI/ML)

      4.6
      Rating, 4.6 out of 5 stars
      ·
      9 reviews

      Beginner · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      D

      DeepLearning.AI

      DeepLearning.AI TensorFlow Developer

      Skills you'll gain: Tensorflow, Computer Vision, Image Analysis, Keras (Neural Network Library), Natural Language Processing, Time Series Analysis and Forecasting, Deep Learning, Artificial Neural Networks, Generative AI, Applied Machine Learning, Predictive Modeling, Artificial Intelligence and Machine Learning (AI/ML), Text Mining, Forecasting, Data Processing, Supervised Learning

      4.7
      Rating, 4.7 out of 5 stars
      ·
      25K reviews

      Intermediate · Professional Certificate · 3 - 6 Months

    • G

      Google Cloud

      Introduction to Vertex AI Studio

      Skills you'll gain: Prompt Engineering, Generative AI, Product Lifecycle Management, Project Design, Application Lifecycle Management, Performance Tuning, Application Development, Application Deployment

      4.7
      Rating, 4.7 out of 5 stars
      ·
      223 reviews

      Beginner · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      C

      Codio

      Getting Started with Generative AI APIs

      Skills you'll gain: OpenAI, Large Language Modeling, Generative AI, ChatGPT, Prompt Engineering, Applied Machine Learning, Application Programming Interface (API), Natural Language Processing, Text Mining, Artificial Intelligence and Machine Learning (AI/ML), Performance Tuning

      3.7
      Rating, 3.7 out of 5 stars
      ·
      23 reviews

      Beginner · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      U

      University of Michigan

      Generative AI: Labor and the Future of Work

      Skills you'll gain: Generative AI, Automation, Workforce Development, Labor Relations, Human Resources, Workforce Management, Artificial Intelligence, Emerging Technologies, Workforce Planning, Global Marketing

      4.8
      Rating, 4.8 out of 5 stars
      ·
      33 reviews

      Beginner · Course · 1 - 4 Weeks

    • Status: New
      New
      Status: Free Trial
      Free Trial
      M

      Microsoft

      Fundamentals of Microsoft 356 Generative AI

      Skills you'll gain: Prompt Engineering, Microsoft Copilot, Data Ethics, Microsoft 365, Artificial Intelligence, Productivity Software, Generative AI, Business Ethics, Microsoft Word, Microsoft Excel, Writing, Editing

      4.9
      Rating, 4.9 out of 5 stars
      ·
      7 reviews

      Beginner · Course · 1 - 3 Months

    • Status: New
      New
      C

      Coursera Instructor Network

      Introduction to Generative AI in Legal

      Skills you'll gain: Legal Strategy, Legal Research, Generative AI, Legal Risk, Case Law, Regulation and Legal Compliance, Legal Proceedings, Artificial Intelligence, Legal Writing, Document Management, ChatGPT, Ethical Standards And Conduct, Automation, Natural Language Processing, Client Services

      5
      Rating, 5 out of 5 stars
      ·
      7 reviews

      Beginner · Course · 1 - 3 Months

    • V

      Vanderbilt University

      Integrating Generative AI into Project Management

      Skills you'll gain: Workflow Management, Constructive Feedback, Generative AI, Large Language Modeling, Artificial Intelligence, Automation, Technical Communication, Decision Making, Project Management, Data Ethics, Communication Strategies, Project Documentation, Information Management, Business Ethics

      4.3
      Rating, 4.3 out of 5 stars
      ·
      13 reviews

      Beginner · Course · 1 - 3 Months

    • G

      Google Cloud

      Get Started with Generative AI Studio

      Skills you'll gain: Generative AI, Prompt Engineering, Google Cloud Platform

      4.8
      Rating, 4.8 out of 5 stars
      ·
      13 reviews

      Beginner · Project · Less Than 2 Hours

    • Status: New
      New
      Status: Free Trial
      Free Trial
      V

      Vanderbilt University

      Generative AI Cybersecurity & Privacy for Leaders: A Primer

      Skills you'll gain: Generative AI, Business Ethics, Information Privacy, Personally Identifiable Information, Threat Detection, Security Awareness, Cybersecurity, Cyber Risk, Law, Regulation, and Compliance, Prompt Engineering, Data Security, Artificial Intelligence

      4.8
      Rating, 4.8 out of 5 stars
      ·
      39 reviews

      Beginner · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      I

      IBM

      Data Analysis with Python

      Skills you'll gain: Predictive Modeling, Exploratory Data Analysis, Data Wrangling, Data Analysis, Data Import/Export, Pandas (Python Package), Statistical Modeling, Data-Driven Decision-Making, Data Manipulation, Scikit Learn (Machine Learning Library), Regression Analysis, Feature Engineering, Matplotlib, Data Cleansing, NumPy, Descriptive Statistics, Supervised Learning, Data Pipelines

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

      Intermediate · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      U

      University of Pennsylvania

      AI Applications in People Management

      Skills you'll gain: HR Tech, Human Resources, Data Ethics, Data-Driven Decision-Making, People Management, Artificial Intelligence, Employee Engagement, Machine Learning, Employee Retention, Predictive Analytics, Blockchain

      4.8
      Rating, 4.8 out of 5 stars
      ·
      260 reviews

      Mixed · Course · 1 - 4 Weeks

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

    • Introduction to Generative AI - 繁體中文: Google Cloud
    • DeepLearning.AI TensorFlow Developer: DeepLearning.AI
    • Introduction to Vertex AI Studio: Google Cloud
    • Getting Started with Generative AI APIs: Codio
    • Generative AI: Labor and the Future of Work: University of Michigan
    • Fundamentals of Microsoft 356 Generative AI: Microsoft
    • Introduction to Generative AI in Legal: Coursera Instructor Network
    • Integrating Generative AI into Project Management: Vanderbilt University
    • Get Started with Generative AI Studio: Google Cloud
    • Generative AI Cybersecurity & Privacy for Leaders: A Primer: Vanderbilt University

    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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