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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Results for "Generative AI"

  • Skills you'll gain: Generative AI, AI literacy, ChatGPT, Artificial Intelligence and Machine Learning (AI/ML), Machine Learning

  • Skills you'll gain: Prompt Engineering, Responsible AI, Generative AI, Large Language Modeling, AI literacy, Artificial Intelligence, Retrieval-Augmented Generation, Automation

  • Skills you'll gain: Prompt Engineering, Generative AI Agents, Google Gemini, Retrieval-Augmented Generation, Responsible AI, Generative AI, Google Workspace, Google Cloud Platform, Gemini, AI Product Strategy, AI Security, AI Workflows, Customer experience improvement, Organizational Strategy, Unstructured Data, Innovation, Data Governance, Artificial Intelligence, Cloud Computing, Collaboration

  • Skills you'll gain: Generative AI, AI literacy, Artificial Intelligence, Deep Learning

  • Skills you'll gain: Adobe Express, Responsible AI, AI powered creativity, Generative AI, AI literacy, Graphic Design, Artificial Intelligence, AI Workflows, Creativity

  • Skills you'll gain: Prompt Engineering, Prompt Patterns, ChatGPT, Generative AI

  • Skills you'll gain: Prompt Engineering, Prompt Patterns, Generative AI, Generative Model Architectures, Generative Adversarial Networks (GANs), Responsible AI, OpenAI, ChatGPT, AI literacy, Data Ethics, Large Language Modeling, Leadership and Management, Artificial Intelligence and Machine Learning (AI/ML), AI Enablement, Business Leadership, Strategic Leadership, Business Ethics, Hugging Face, Legal Risk, Machine Learning

  • Skills you'll gain: Prompt Engineering, Prompt Patterns, Unit Testing, Large Language Modeling, LangChain, Generative AI, Retrieval-Augmented Generation, Data Wrangling, Responsible AI, Exploratory Data Analysis, Unsupervised Learning, Model Evaluation, Generative Model Architectures, PyTorch (Machine Learning Library), LLM Application, Keras (Neural Network Library), Supervised Learning, Vector Databases, Fine-tuning, Data Import/Export

  • Skills you'll gain: Prompt Engineering, Prompt Engineering Tools, Responsible AI, Data Ethics, AI Enablement, Generative AI, AI Product Strategy, Risk Analysis, Hybrid Cloud Computing, Risk Mitigation, Risking, Strategic Thinking, Cloud Computing Architecture, Data Management, AI literacy, Law, Regulation, and Compliance, Brainstorming, Cloud Infrastructure, Return On Investment, LLM Application

  • Skills you'll gain: Prompt Engineering, Prompt Patterns, Generative AI, Exploratory Data Analysis, Data Ethics, ChatGPT, AI literacy, Feature Engineering, Predictive Modeling, Artificial Intelligence and Machine Learning (AI/ML), Data Science, Data Synthesis, Machine Learning, Data Analysis

  • Vanderbilt University

    Skills you'll gain: Prompt Engineering, ChatGPT, Prompt Patterns, AI powered creativity, Ideation, Verification And Validation, LLM Application, AI literacy, Model Evaluation, Spreadsheet Software, Generative AI, Responsible AI, Risking, Data Presentation, Data Visualization, Image Analysis, Artificial Intelligence, Data Analysis, AI Workflows, Organizational Skills

  • Skills you'll gain: Prompt Engineering, Prompt Patterns, Generative AI, Data Ethics, Generative AI Agents, ChatGPT, AI literacy, Software Design Documents, Software Design, AI Integrations, Software Architecture, Agentic Workflows, Artificial Intelligence and Machine Learning (AI/ML), Continuous Integration, Software Development, LLM Application, Machine Learning, Application Security, Software Engineering, Code Review