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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

    • Status: Free Trial
      Free Trial
      M

      Microsoft

      Introduction to Computers

      Skills you'll gain: Business Software, Computer Hardware, Hardware Architecture, Generative AI, Operating Systems, Data Storage Technologies, Data Loss Prevention, Computer Systems, Enterprise Security, Information Technology, OS Process Management, System Configuration, Microsoft Windows, Technical Support, Servers, Cybersecurity

      4.8
      Rating, 4.8 out of 5 stars
      ·
      720 reviews

      Beginner · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      Status: AI skills
      AI skills
      M

      Microsoft

      Microsoft UX Design

      Skills you'll gain: Storyboarding, User Research, Information Architecture, User Experience Design, Design Thinking, Prototyping, Usability Testing, User Experience, Persona (User Experience), Wireframing, Design Research, User Interface and User Experience (UI/UX) Design, Interaction Design, Web Content Accessibility Guidelines, Human Centered Design, Figma (Design Software), Usability, User Interface (UI) Design, User Centered Design, Design

      4.6
      Rating, 4.6 out of 5 stars
      ·
      404 reviews

      Beginner · Professional Certificate · 3 - 6 Months

    • Status: Free Trial
      Free Trial
      A

      Advancing Women in Tech

      Real-World Product Management

      Skills you'll gain: Product Roadmaps, Product Management, Customer Retention, Cross-Functional Team Leadership, Professional Networking, Financial Analysis, Product Strategy, Technical Product Management, Product Requirements, Product Development, Financial Statement Analysis, Product Lifecycle Management, New Product Development, Innovation, Team Leadership, Artificial Intelligence and Machine Learning (AI/ML), User Experience Design, Performance Management, Interviewing Skills, Branding

      Build toward a degree

      4.5
      Rating, 4.5 out of 5 stars
      ·
      898 reviews

      Beginner · Specialization · 3 - 6 Months

    • Status: Free Trial
      Free Trial
      U

      University of Michigan

      AI Ethics, Responsible Use, and Creativity

      Skills you'll gain: Data Ethics, Legal Risk, Artificial Intelligence, Generative AI, Risk Analysis, Business Risk Management, Business Ethics, Ethical Standards And Conduct, Environmental Issue, Corporate Sustainability, Regulation and Legal Compliance, Diversity and Inclusion

      4.8
      Rating, 4.8 out of 5 stars
      ·
      13 reviews

      Beginner · Course · 1 - 3 Months

    • M

      Meta

      GenAI in Social Media Marketing

      Skills you'll gain: Target Audience, Generative AI, Social Media Marketing, Social Media, Social Media Strategy, Business Marketing, Facebook, Content Creation, Artificial Intelligence

      5
      Rating, 5 out of 5 stars
      ·
      24 reviews

      Beginner · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      P

      Politecnico di Milano

      Artificial Intelligence: an Overview

      Skills you'll gain: Unsupervised Learning, Supervised Learning, Machine Learning Algorithms, Machine Learning, Applied Machine Learning, Intellectual Property, Ethical Standards And Conduct, Data Ethics, Artificial Intelligence and Machine Learning (AI/ML), Legal Risk, Artificial Intelligence, Reinforcement Learning, General Data Protection Regulation (GDPR), Dimensionality Reduction, Governance, Cloud Platforms, Deep Learning, Law, Regulation, and Compliance, Computer Science, Computer Vision

      4.6
      Rating, 4.6 out of 5 stars
      ·
      617 reviews

      Beginner · Specialization · 3 - 6 Months

    • G

      Google Cloud

      Build Generative AI Agents with Vertex AI and Flutter

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

      Beginner · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      D

      Duke University

      MLOps | Machine Learning Operations

      Skills you'll gain: MLOps (Machine Learning Operations), Pandas (Python Package), AWS SageMaker, NumPy, Microsoft Azure, Data Ethics, Application Deployment, Data Manipulation, Exploratory Data Analysis, Containerization, Data Pipelines, CI/CD, Software Testing, Data Import/Export, Amazon Web Services, Feature Engineering, Cloud Solutions, Artificial Intelligence and Machine Learning (AI/ML), Docker (Software), Rust (Programming Language)

      4.2
      Rating, 4.2 out of 5 stars
      ·
      462 reviews

      Advanced · Specialization · 3 - 6 Months

    • Status: Free Trial
      Free Trial
      M

      Microsoft

      Microsoft Excel

      Skills you'll gain: Excel Macros, Prompt Engineering, Microsoft Excel, Data Cleansing, Excel Formulas, Pivot Tables And Charts, Microsoft Copilot, Dashboard, Forecasting, Data Presentation, Data Storytelling, Data Processing, Data Visualization Software, Data Manipulation, Data Visualization, Predictive Modeling, Data Quality, Statistical Analysis, Data Transformation, Data Analysis

      4.1
      Rating, 4.1 out of 5 stars
      ·
      98 reviews

      Beginner · Professional Certificate · 3 - 6 Months

    • Status: Free Trial
      Free Trial
      D

      Duke University

      Machine Learning Foundations for Product Managers

      Skills you'll gain: Deep Learning, Unsupervised Learning, Classification And Regression Tree (CART), Machine Learning, Regression Analysis, Artificial Intelligence and Machine Learning (AI/ML), Artificial Neural Networks, Decision Tree Learning, Computer Vision, Supervised Learning, Natural Language Processing, Random Forest Algorithm, Algorithms, Performance Metric

      4.7
      Rating, 4.7 out of 5 stars
      ·
      552 reviews

      Intermediate · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      I

      IBM

      Introduction to Neural Networks and PyTorch

      Skills you'll gain: PyTorch (Machine Learning Library), Artificial Neural Networks, Deep Learning, Predictive Modeling, Probability & Statistics, Machine Learning, Regression Analysis, Data Manipulation, Linear Algebra

      4.4
      Rating, 4.4 out of 5 stars
      ·
      1.8K reviews

      Intermediate · Course · 1 - 3 Months

    • T

      Tecnológico de Monterrey

      ChatGPT - Usos y Estrategias

      Skills you'll gain: ChatGPT, Prompt Engineering, Data Ethics, Artificial Intelligence, Productivity, Generative AI, Creativity, Ethical Standards And Conduct, Innovation, Natural Language Processing, Critical Thinking

      4.9
      Rating, 4.9 out of 5 stars
      ·
      964 reviews

      Beginner · Course · 1 - 4 Weeks

    Generative AI learners also search

    Beginner Generative AI
    Generative AI Projects
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    In summary, here are 10 of our most popular generative ai courses

    • Introduction to Computers: Microsoft
    • Microsoft UX Design: Microsoft
    • Real-World Product Management: Advancing Women in Tech
    • AI Ethics, Responsible Use, and Creativity: University of Michigan
    • GenAI in Social Media Marketing: Meta
    • Artificial Intelligence: an Overview: Politecnico di Milano
    • Build Generative AI Agents with Vertex AI and Flutter: Google Cloud
    • MLOps | Machine Learning Operations: Duke University
    • Microsoft Excel: Microsoft
    • Machine Learning Foundations for Product Managers: Duke 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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