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.
248credentials
12online degrees
1072courses

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Find the best GenAI course for your goals

  • Status: New

    Skills you'll gain: Generative AI, Large Language Modeling, Google Cloud Platform, Responsible AI, Unstructured Data, Artificial Intelligence and Machine Learning (AI/ML), Data-Driven Decision-Making, Business Solutions, Data Access, Data Quality

  • Status: New

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

  • Skills you'll gain: Google Cloud Platform, Data Import/Export, Database Management, Databases, Generative AI, Data Storage Technologies, Artificial Intelligence

  • Status: Preview

    DeepLearning.AI

    Skills you'll gain: Natural Language Processing, Deep Learning, Generative AI, Tensorflow, PyTorch (Machine Learning Library), Artificial Neural Networks, Artificial Intelligence and Machine Learning (AI/ML), Applied Machine Learning, Machine Learning, Machine Learning Algorithms, Algorithms, Network Architecture

  • 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: Responsible AI, Threat Modeling, Information Systems Security, Security Engineering, Cybersecurity, Information Assurance, Threat Detection, Data Ethics, Artificial Intelligence, Generative AI, Information Privacy, Data Integrity, Data Governance

  • Status: Preview

    Skills you'll gain: Generative AI, Image Analysis, Deep Learning, Generative Model Architectures, Computer Vision, Applied Machine Learning

  • 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: 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

  • Skills you'll gain: Generative AI, AI Personalization, Web Content, Google Cloud Platform, Prompt Engineering, User Experience Design

  • 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, Data Storytelling, Statistical Analysis, Generative AI, R Programming, Correlation Analysis, Data Analysis, Tidyverse (R Package), Scatter Plots, Descriptive Statistics, Data Cleansing

  • Status: New
    Status: Preview

    Skills you'll gain: Small Data, Deep Learning, Applied Machine Learning, PyTorch (Machine Learning Library), Statistical Machine Learning, Unsupervised Learning, Tensorflow, Machine Learning, Generative AI, Data Synthesis, Supervised Learning, Artificial Intelligence, Computer Vision