Generative AI

Generative AI is a subset of artificial intelligence that leverages machine learning techniques to generate new content or data. Coursera's Generative AI catalogue helps you understand the complexities of modern machine learning methods, and enables you to design and implement generative models. You'll learn everything from the basic principles of deep learning, designing generative adversarial networks (GANs), to more advanced techniques like Transformer models and Autoencoders. Along the way, you'll gain skills in areas including natural language processing, image and video generation, and synthesizing new data, allowing you to create innovative AI applications and push the boundaries of what's possible in the field of artificial intelligence.
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Find the best GenAI course for your goals

  • Status: New
    Status: Free Trial

    Skills you'll gain: PyTorch (Machine Learning Library), Natural Language Processing, Large Language Modeling, Generative AI, Artificial Neural Networks, Deep Learning

  • Status: Preview

    Skills you'll gain: Generative AI, Generative Model Architectures, Google Cloud Platform, Image Analysis, Prompt Engineering, Unsupervised Learning, Physics

  • Status: New

    Skills you'll gain: Generative AI Agents, Generative AI, AI Product Strategy, LLM Application, Google Cloud Platform, Prompt Engineering, Artificial Intelligence, Tool Calling, Organizational Strategy, Innovation, Customer experience improvement

  • Status: Preview

    Skills you'll gain: Generative AI, Generative Model Architectures, Visualization (Computer Graphics), Google Cloud Platform, Data Ethics, Applied Machine Learning, Responsible AI, Machine Learning Methods

  • Status: Preview

    Skills you'll gain: Generative AI, Generative Model Architectures, Image Analysis, Unsupervised Learning, Machine Learning Methods

  • Skills you'll gain: Large Language Modeling, Google Cloud Platform, Semantic Web, Generative AI, Generative AI Agents, Artificial Intelligence and Machine Learning (AI/ML), Text Mining, Natural Language Processing, Web Analytics and SEO

  • Status: Preview

    Skills you'll gain: Generative AI, Generative Model Architectures, Image Analysis, Google Cloud Platform, Physics

  • Skills you'll gain: Google Gemini, Google Workspace, Generative AI Agents, Document Management, Generative AI, Prompt Engineering, File Management

  • Status: Preview

    Skills you'll gain: LLM Application, Application Development, Application Design, User Interface (UI), Development Environment, Cloud Applications, Interactive Design, Artificial Intelligence and Machine Learning (AI/ML), Generative AI, Application Deployment, Python Programming, Open Source Technology

  • Status: New
    Status: Free Trial

    Skills you'll gain: Rmarkdown, Knitr, Exploratory Data Analysis, Dimensionality Reduction, Ggplot2, Plotly, Data Visualization, Interactive Data Visualization, Data Visualization Software, Statistical Visualization, Statistical Analysis, Data Storytelling, Generative AI, R Programming, Correlation Analysis, Data Analysis, Tidyverse (R Package), Scatter Plots, Descriptive Statistics, Data Cleansing

  • Skills you'll gain: Google Gemini, Google Workspace, Generative AI, Prompt Engineering

  • Skills you'll gain: Google Gemini, Email Automation, Gmail, Google Workspace, Generative AI, Prompt Engineering

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