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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
      P

      Packt

      Advanced PyTorch Techniques and Applications

      Skills you'll gain: PyTorch (Machine Learning Library), Natural Language Processing, Generative AI, Deep Learning, Unsupervised Learning, Text Mining, Supervised Learning, Image Analysis, Machine Learning, Google Cloud Platform, Application Deployment, Flask (Web Framework)

      4.9
      Rating, 4.9 out of 5 stars
      ·
      8 reviews

      Intermediate · Course · 1 - 3 Months

    • I

      IBM

      IBM Data Topology

      Skills you'll gain: Multi-Cloud, Data Architecture, Data Management, Regulatory Compliance, Information Architecture, Cloud Management, Data Infrastructure, Data Integration, Data Strategy, AI Personalization

      4.7
      Rating, 4.7 out of 5 stars
      ·
      32 reviews

      Intermediate · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      G

      Google Cloud

      Feature Engineering en Español

      Skills you'll gain: Feature Engineering, Tensorflow, Data Pipelines, MLOps (Machine Learning Operations), Applied Machine Learning, Keras (Neural Network Library), Data Transformation, Data Processing, Data Modeling, Machine Learning

      4.4
      Rating, 4.4 out of 5 stars
      ·
      37 reviews

      Intermediate · Course · 1 - 3 Months

    • C

      Coursera Instructor Network

      GenAI for PR Specialists

      Skills you'll gain: Generative AI Agents, Public Relations, Content Creation, Marketing and Public Relations, Corporate Communications, Media Relations, Productivity Software, Crisis Management, Team Leadership, Data Ethics, Promotions and Campaigns, Social Media Campaigns

      3.9
      Rating, 3.9 out of 5 stars
      ·
      12 reviews

      Intermediate · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      I

      IBM

      Vector Database Projects: AI Recommendation Systems

      Skills you'll gain: Databases, MongoDB, Data Store, Artificial Intelligence, Natural Language Processing, Applied Machine Learning, Generative AI, Cloud API

      4.6
      Rating, 4.6 out of 5 stars
      ·
      11 reviews

      Intermediate · Course · 1 - 4 Weeks

    • Status: New
      New
      A

      Arm

      Introduction to AI

      Skills you'll gain: Artificial Intelligence, Machine Learning, Artificial Neural Networks, Computer Science, Deep Learning, Supervised Learning, Data Ethics, Natural Language Processing, Data Science

      Beginner · Course · 1 - 3 Months

    • C

      Coursera Instructor Network

      GenAI for Account Executives

      Skills you'll gain: Account Management, Generative AI Agents, Data Ethics, Sales Enablement, Proposal Development, Sales Management, Market Analysis, Market Trend, Client Services, Workflow Management, Prompt Engineering, Innovation, Business Ethics, Customer Relationship Management, Automation

      4.6
      Rating, 4.6 out of 5 stars
      ·
      7 reviews

      Beginner · Course · 1 - 4 Weeks

    • C

      Coursera Instructor Network

      GenAI for Mobile App Developers (iOS, Android)

      Skills you'll gain: Mobile Development, Generative AI, Apple Xcode, iOS Development, Android Studio, Test Automation, Software Testing, Software Development Tools, User Interface (UI), Performance Tuning, Human Computer Interaction, Data Ethics

      4.9
      Rating, 4.9 out of 5 stars
      ·
      7 reviews

      Beginner · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      U

      University of Michigan

      AI for Lawyers: Communication and Creativity

      Skills you'll gain: Creativity, Prompt Engineering, Presentations, Business Correspondence, Editing, Writing, Communication, Artificial Intelligence, Public Speaking, Generative AI, Risk Analysis

      Beginner · Course · 1 - 4 Weeks

    • C

      Copenhagen Business School

      AI and the Illusion of Intelligence

      Skills you'll gain: Artificial Intelligence, Large Language Modeling, Natural Language Processing, Artificial Intelligence and Machine Learning (AI/ML), Theoretical Computer Science, Statistical Machine Learning, OpenAI, Human Learning, Artificial Neural Networks, Generative AI, Computational Thinking, Human Computer Interaction, Emerging Technologies

      4.7
      Rating, 4.7 out of 5 stars
      ·
      24 reviews

      Beginner · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      C

      Coursera

      Empowering and Transforming Your Organization with GenAI

      Skills you'll gain: Business Transformation, Business Communication, Communication, Internal Communications, Employee Training, Organizational Effectiveness, Organizational Strategy, Workforce Development, Stakeholder Engagement, Business Leadership, Digital Transformation, Change Management

      4.9
      Rating, 4.9 out of 5 stars
      ·
      26 reviews

      Beginner · Course · 1 - 4 Weeks

    • Status: New
      New
      Status: Free Trial
      Free Trial
      U

      University of Glasgow

      Applied AI for Engineers and Scientists: Foundations

      Skills you'll gain: Artificial Neural Networks, Matlab, Supervised Learning, Applied Machine Learning, Machine Learning, Data Manipulation, Data Cleansing, Artificial Intelligence, Feature Engineering, Data Transformation, Classification And Regression Tree (CART), Predictive Modeling, Numerical Analysis, Artificial Intelligence and Machine Learning (AI/ML), Mathematical Software, Programming Principles, Computer Programming, Scripting, Data Structures, Machine Learning Algorithms

      Beginner · Specialization · 1 - 3 Months

    Generative AI learners also search

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

    • Advanced PyTorch Techniques and Applications: Packt
    • IBM Data Topology: IBM
    • Feature Engineering en Español: Google Cloud
    • GenAI for PR Specialists: Coursera Instructor Network
    • Vector Database Projects: AI Recommendation Systems: IBM
    • Introduction to AI: Arm
    • GenAI for Account Executives: Coursera Instructor Network
    • GenAI for Mobile App Developers (iOS, Android): Coursera Instructor Network
    • AI for Lawyers: Communication and Creativity: University of Michigan
    • AI and the Illusion of Intelligence: Copenhagen Business School

    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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