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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
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      Google Cloud

      Introduction to Generative AI

      Skills you'll gain: Generative AI, Application Development, Artificial Intelligence, Google Cloud Platform, Machine Learning Methods

      4.7
      Rating, 4.7 out of 5 stars
      ·
      7.9K reviews

      Beginner · Course · 1 - 4 Weeks

    • Status: New
      New
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      Free Trial
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      Google Cloud

      Generative AI Leader

      Skills you'll gain: Prompt Engineering, Generative AI Agents, Generative AI, Google Cloud Platform, Google Workspace, Data Management, Productivity Software, Cloud Solutions, Unstructured Data, Large Language Modeling, Workflow Management, Data Governance, Strategic Thinking, Cloud Infrastructure, Information Privacy, Cloud Computing, Innovation, Artificial Intelligence, Organizational Strategy, Collaboration

      4.6
      Rating, 4.6 out of 5 stars
      ·
      54 reviews

      Beginner · Professional Certificate · 3 - 6 Months

    • Status: Free Trial
      Free Trial
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      Google Cloud

      Introduction to Generative AI Learning Path

      Skills you'll gain: Large Language Modeling, Generative AI, Prompt Engineering, Data Ethics, Google Cloud Platform, Business Ethics, Application Development, Artificial Intelligence, Accountability, Compliance Training, Ethical Standards And Conduct, Artificial Intelligence and Machine Learning (AI/ML), Governance, Organizational Effectiveness, Machine Learning Methods, Decision Making, Corporate Strategy

      4.6
      Rating, 4.6 out of 5 stars
      ·
      9.4K reviews

      Intermediate · Specialization · 1 - 3 Months

    • G

      Google Cloud

      Generative AI for Healthcare

      Skills you'll gain: Large Language Modeling, Prompt Engineering, Generative AI, Artificial Intelligence and Machine Learning (AI/ML), Google Cloud Platform, Artificial Intelligence, Supervised Learning, Machine Learning, Health Technology, Health Informatics, Deep Learning

      4.2
      Rating, 4.2 out of 5 stars
      ·
      42 reviews

      Intermediate · Course · 1 - 3 Months

    • G

      Google Cloud

      Introduction to Generative AI - Español

      Skills you'll gain: Generative AI, Application Development, Artificial Intelligence, Google Cloud Platform, Machine Learning

      4.6
      Rating, 4.6 out of 5 stars
      ·
      286 reviews

      Beginner · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      G

      Google Cloud

      Gemini for Google Workspace

      Skills you'll gain: Storytelling, Video Production, Workflow Management, Photo/Video Production and Technology, Prompt Engineering, Video Editing, Google Workspace, Productivity Software, Google Sheets, Gmail, Generative AI, Project Planning, Multimedia, Media Production, Spreadsheet Software, Operational Efficiency, Writing, Collaboration, Business Communication, Project Management

      4.5
      Rating, 4.5 out of 5 stars
      ·
      157 reviews

      Beginner · Specialization · 1 - 3 Months

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    • Status: Free Trial
      Free Trial
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      Google Cloud

      Natural Language Processing on Google Cloud

      Skills you'll gain: Natural Language Processing, Large Language Modeling, Tensorflow, Google Cloud Platform, Keras (Neural Network Library), Deep Learning, Artificial Intelligence and Machine Learning (AI/ML), Artificial Neural Networks, Cloud API, Cloud Solutions, Feature Engineering, Application Programming Interface (API)

      4.4
      Rating, 4.4 out of 5 stars
      ·
      535 reviews

      Advanced · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      Status: AI skills
      AI skills
      G

      Google Cloud

      Google Cloud Data Analytics

      Skills you'll gain: Data Lakes, Data Storytelling, Data Governance, Data Visualization, Data Presentation, Data Architecture, Data Pipelines, Data Visualization Software, Dashboard, Cloud Infrastructure, Generative AI, Data Cleansing, Data Management, Cloud Storage, Data Transformation, Cloud Computing, Google Cloud Platform, Database Management, Data Ethics, Data Analysis

      4.4
      Rating, 4.4 out of 5 stars
      ·
      177 reviews

      Beginner · Professional Certificate · 3 - 6 Months

    • G

      Google Cloud

      Create Generative AI Apps on Google Cloud

      Skills you'll gain: Prompt Engineering, Generative AI, Large Language Modeling, Cloud Applications, Application Development, Cloud Development, Google Cloud Platform, Application Deployment, Solution Architecture, Prototyping

      4.4
      Rating, 4.4 out of 5 stars
      ·
      7 reviews

      Intermediate · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      G

      Google Cloud

      Introduction to AI and Machine Learning on Google Cloud

      Skills you'll gain: Prompt Engineering, Google Cloud Platform, Generative AI, Cloud Infrastructure, MLOps (Machine Learning Operations), Artificial Intelligence and Machine Learning (AI/ML), Cloud Platforms, Large Language Modeling, Machine Learning, Natural Language Processing, Application Programming Interface (API)

      4.7
      Rating, 4.7 out of 5 stars
      ·
      244 reviews

      Beginner · Course · 1 - 3 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
      ·
      224 reviews

      Beginner · Course · 1 - 4 Weeks

    • G

      Google Cloud

      Get Started with Generative AI Studio

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

      4.8
      Rating, 4.8 out of 5 stars
      ·
      13 reviews

      Beginner · Project · Less Than 2 Hours

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

    • Introduction to Generative AI : Google Cloud
    • Generative AI Leader: Google Cloud
    • Introduction to Generative AI Learning Path: Google Cloud
    • Generative AI for Healthcare: Google Cloud
    • Introduction to Generative AI - Español: Google Cloud
    • Gemini for Google Workspace: Google Cloud
    • Natural Language Processing on Google Cloud: Google Cloud
    • Google Cloud Data Analytics: Google Cloud
    • Create Generative AI Apps on Google Cloud: Google Cloud
    • Introduction to AI and Machine Learning on Google Cloud: Google Cloud

    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.‎

    Yes. You can start learning generative AI on Coursera for free in two ways:

    • Preview the first module of many GenAI courses at no cost. This includes video lessons, readings, graded assignments, and Coursera Coach (where available).
    • Start a 7-day free trial for Specializations or Coursera Plus. This gives you full access to all course content across eligible programs within the timeframe of your trial.

    If you want to keep learning, earn a certificate in generative AI, or unlock full course access after the preview or trial, you can upgrade or apply for financial aid.‎

    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.‎
    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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