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: MLOps (Machine Learning Operations), Generative AI, Responsible AI, Security Testing, Predictive Modeling, Verification And Validation, Data Validation, Machine Learning

  • Skills you'll gain: Flutter (Software), Google Gemini, Generative AI Agents, Generative AI, Mobile Development, Google Cloud Platform

  • Status: New

    Skills you'll gain: Responsible AI, Generative AI, Large Language Modeling, Google Cloud Platform, Unstructured Data, Artificial Intelligence, Application Security, Data Modeling, Data Quality, Data Access, Machine Learning, Business Solutions

  • Skills you'll gain: Generative AI, Continuous Monitoring, Google Cloud Platform, Responsible AI, MLOps (Machine Learning Operations), Predictive Modeling, Data Quality

  • Skills you'll gain: Responsible AI, Generative AI, Information Privacy, Google Cloud Platform, Personally Identifiable Information, Data Security, Cloud Security, Safety and Security, Artificial Intelligence, Security Engineering

  • Status: Free Trial

    DeepLearning.AI

    Skills you'll gain: Computer Vision, Deep Learning, Image Analysis, Natural Language Processing, Artificial Neural Networks, Artificial Intelligence and Machine Learning (AI/ML), Tensorflow, Generative AI, Supervised Learning, Large Language Modeling, Artificial Intelligence, Applied Machine Learning, PyTorch (Machine Learning Library), Machine Learning, Debugging, Performance Tuning, Python Programming, Data-Driven Decision-Making, Machine Learning Algorithms, Linear Algebra

  • Status: Preview

    Skills you'll gain: MLOps (Machine Learning Operations), Generative AI, Continuous Monitoring, Google Cloud Platform, Predictive Modeling, Responsible AI, Verification And Validation, Machine Learning

  • Skills you'll gain: MLOps (Machine Learning Operations), Generative AI, Statistical Methods, Google Cloud Platform, Verification And Validation, Performance Testing, Machine Learning, Responsible AI

  • Status: New

    Skills you'll gain: Google Gemini, Flutter (Software), Generative AI Agents, Generative AI, LLM Application, Google Cloud Platform, Application Development, Mobile Development, Artificial Intelligence

  • Status: New

    Skills you'll gain: Prompt Engineering, LLM Application, Prompt Patterns, Generative AI, Large Language Modeling, Multimodal Prompts, Google Cloud Platform

  • Status: New

    Skills you'll gain: Generative AI, MLOps (Machine Learning Operations), Google Cloud Platform, Continuous Monitoring, Responsible AI, Machine Learning, A/B Testing

  • Status: New

    Skills you'll gain: Google Gemini, Responsible AI, Google Cloud Platform, Generative AI, Cloud Management, Cloud Infrastructure, Artificial Intelligence, Innovation, Business Planning

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