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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

    • U

      University of Michigan

      Llama for Python Programmers

      Skills you'll gain: Large Language Modeling, Prompt Engineering, Application Development, Generative AI, Python Programming, Natural Language Processing, Open Source Technology

      4.7
      Rating, 4.7 out of 5 stars
      ·
      15 reviews

      Intermediate · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      U

      Unilever

      Advanced Tools for Digital Marketing Analytics

      Skills you'll gain: Marketing Automation, Marketing Analytics, Digital Marketing, Predictive Analytics, MarTech, Advanced Analytics, Analytics, Marketing Operations, Marketing Effectiveness, Marketing, Marketing Strategies, Marketing Channel, Data Analysis, Natural Language Processing, Data Ethics, Business Ethics, Video Production, Artificial Intelligence, Scalability

      4.7
      Rating, 4.7 out of 5 stars
      ·
      50 reviews

      Beginner · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      U

      University of California San Diego

      Python Data Products for Predictive Analytics

      Skills you'll gain: Supervised Learning, Feature Engineering, Predictive Modeling, Data Processing, Data Manipulation, Applied Machine Learning, Interactive Data Visualization, Design Thinking, Advanced Analytics, Web Scraping, Machine Learning Algorithms, Flask (Web Framework), Data Visualization Software, Scikit Learn (Machine Learning Library), Application Deployment, Data Science, Data Validation, Verification And Validation, Django (Web Framework), Regression Analysis

      4.2
      Rating, 4.2 out of 5 stars
      ·
      245 reviews

      Intermediate · Specialization · 3 - 6 Months

    • Status: Free Trial
      Free Trial
      I

      IBM

      Bases de Inteligencia Artificial para Todos

      Skills you'll gain: Computer Vision, Dashboard, IBM Cloud, Artificial Intelligence, Data Ethics, Image Analysis, Application Development, Interactive Data Visualization, Business Workflow Analysis, Data Manipulation, ChatGPT, Artificial Neural Networks, Cloud Applications, Application Programming Interface (API), Data Structures, Artificial Intelligence and Machine Learning (AI/ML), WordPress, Natural Language Processing, Python Programming, Programming Principles

      4.7
      Rating, 4.7 out of 5 stars
      ·
      448 reviews

      Beginner · Professional Certificate · 3 - 6 Months

    • Status: Free Trial
      Free Trial
      D

      Duke University

      Cloud Machine Learning Engineering and MLOps

      Skills you'll gain: MLOps (Machine Learning Operations), Continuous Delivery, Applied Machine Learning, Google Cloud Platform, Cloud Applications, Artificial Intelligence and Machine Learning (AI/ML), Cloud API, Microsoft Azure, Software Engineering, Computer Vision, Application Programming Interface (API), Natural Language Processing, Flask (Web Framework)

      4.5
      Rating, 4.5 out of 5 stars
      ·
      84 reviews

      Intermediate · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      M

      Microsoft

      Introduction to GitHub Copilot

      Skills you'll gain: Prompt Engineering, Microsoft Copilot, Generative AI, Computer Programming, Application Development, Development Environment, Microsoft Visual Studio, Computer Programming Tools, Python Programming

      4.5
      Rating, 4.5 out of 5 stars
      ·
      152 reviews

      Intermediate · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      U

      University of Michigan

      GenAI in Business: Discover the Possibilities

      Skills you'll gain: Generative AI, Business Transformation, Prompt Engineering, Business Process Automation, Business Strategy, Solution Design, Automation, Technology Strategies, ChatGPT, Innovation, Large Language Modeling

      4.7
      Rating, 4.7 out of 5 stars
      ·
      30 reviews

      Beginner · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      J

      Johns Hopkins University

      Introduction to AI for Cybersecurity

      Skills you'll gain: Cybersecurity, Cyber Threat Intelligence, Cyber Attacks, Email Security, Threat Detection, Threat Modeling, Jupyter, Authentications, Intrusion Detection and Prevention, Machine Learning Algorithms, Artificial Intelligence, Multi-Factor Authentication, Artificial Intelligence and Machine Learning (AI/ML), Computer Vision, Natural Language Processing, Machine Learning, Deep Learning

      4.4
      Rating, 4.4 out of 5 stars
      ·
      30 reviews

      Intermediate · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      L

      LearnQuest

      Artificial Intelligence Data Fairness and Bias

      Skills you'll gain: Data Ethics, Data Collection, Game Theory, Machine Learning, Algorithms, Artificial Intelligence, Social Justice, Applied Machine Learning, Data-Driven Decision-Making, Predictive Modeling

      4.7
      Rating, 4.7 out of 5 stars
      ·
      113 reviews

      Beginner · Course · 1 - 4 Weeks

    • N

      National Taiwan University

      機器學習基石下 (Machine Learning Foundations)---Algorithmic Foundations

      Skills you'll gain: Machine Learning Algorithms, Supervised Learning, Algorithms, Machine Learning, Data Validation, Feature Engineering, Applied Machine Learning, Artificial Intelligence and Machine Learning (AI/ML), Classification And Regression Tree (CART), Regression Analysis, Statistical Methods

      4.9
      Rating, 4.9 out of 5 stars
      ·
      331 reviews

      Intermediate · Course · 1 - 3 Months

    • C

      Coursera Project Network

      Adobe Illustrator for Beginners: Create Vector Artwork

      Skills you'll gain: Adobe Illustrator, Graphic and Visual Design, Creative Design, Design, Color Theory, Adobe Creative Cloud, Graphic Design, Design Elements And Principles, Typography

      4.7
      Rating, 4.7 out of 5 stars
      ·
      18 reviews

      Beginner · Guided Project · Less Than 2 Hours

    • Status: Free Trial
      Free Trial
      U

      University of Colorado Boulder

      Computing, Ethics, and Society

      Skills you'll gain: Data Ethics, Security Awareness, Ethical Standards And Conduct, Computer Security Awareness Training, Cybersecurity, Diversity Awareness, Generative AI, Artificial Intelligence, Information Technology, Information Privacy, Media and Communications, Machine Learning, Automation, Cultural Diversity, Personally Identifiable Information, Artificial Intelligence and Machine Learning (AI/ML), Social Justice, Law, Regulation, and Compliance, Emerging Technologies, Health Care

      Build toward a degree

      4.5
      Rating, 4.5 out of 5 stars
      ·
      23 reviews

      Beginner · Specialization · 3 - 6 Months

    Generative AI learners also search

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

    • Llama for Python Programmers: University of Michigan
    • Advanced Tools for Digital Marketing Analytics: Unilever
    • Python Data Products for Predictive Analytics: University of California San Diego
    • Bases de Inteligencia Artificial para Todos: IBM
    • Cloud Machine Learning Engineering and MLOps: Duke University
    • Introduction to GitHub Copilot: Microsoft
    • GenAI in Business: Discover the Possibilities: University of Michigan
    • Introduction to AI for Cybersecurity: Johns Hopkins University
    • Artificial Intelligence Data Fairness and Bias : LearnQuest
    • 機器學習基石下 (Machine Learning Foundations)---Algorithmic Foundations: National Taiwan 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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