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

  • Skills you'll gain: Big Data, Google Gemini, Data Processing, Identity and Access Management, Google Cloud Platform, LLM Application, Data Pipelines, Generative AI

  • Status: Preview

    Skills you'll gain: Tensorflow, Generative AI, Keras (Neural Network Library), Machine Learning, Deep Learning, Natural Language Processing, Artificial Neural Networks

  • Status: Preview

    Skills you'll gain: LLM Application, Large Language Modeling, AI Product Strategy, Generative AI, Web Applications, Artificial Intelligence, Prompt Engineering, Agentic systems, Information Architecture, Application Programming Interface (API), Automation, Data Analysis

  • 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

  • Status: New

    Skills you'll gain: Prompt Engineering, OpenAI, Responsible AI, LLM Application, Data Ethics, Image Analysis, Application Programming Interface (API), Generative AI, Artificial Intelligence, Natural Language Processing, Large Language Modeling, Computer Vision, Application Deployment, Development Environment

  • Skills you'll gain: Google Gemini, Google Cloud Platform, Customer Analysis, Marketing Analytics, Big Data, Generative AI, Customer Insights, Analytics, Predictive Modeling, Data-Driven Decision-Making, Predictive Analytics, Data Analysis

  • 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

  • Status: Preview

    Skills you'll gain: Generative AI, Generative Model Architectures, Image Analysis, Large Language Modeling, Prompt Engineering, Physics, Physical Science

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

  • Status: New

    Skills you'll gain: Generative AI, Responsible AI, Google Cloud Platform, Artificial Intelligence, Large Language Modeling, Data-Driven Decision-Making, Machine Learning, Unstructured Data, Data Quality