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: Generative AI, Google Cloud Platform, MLOps (Machine Learning Operations), Predictive Modeling, Continuous Monitoring, Machine Learning Methods, Responsible AI, Applied Machine Learning

  • 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: Google Gemini, Google Cloud Platform, Generative AI, Cloud Infrastructure, Cloud Platforms, Cloud Solutions, Responsible AI, Artificial Intelligence, LLM Application, Data Centers, Business

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

  • Status: Preview

    Skills you'll gain: Generative AI, Prompt Engineering, Google Cloud Platform, MLOps (Machine Learning Operations), Artificial Intelligence and Machine Learning (AI/ML), Tensorflow, Big Data, Cloud Development, Machine Learning, Natural Language Processing

  • 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, Keras (Neural Network Library), Artificial Intelligence, Applied Machine Learning, PyTorch (Machine Learning Library), Machine Learning, Debugging, Performance Tuning, Python Programming, Data-Driven Decision-Making, Feature Engineering

  • Skills you'll gain: Google Cloud Platform, Generative AI, MLOps (Machine Learning Operations), Artificial Intelligence and Machine Learning (AI/ML), Tensorflow, Artificial Intelligence, Cloud Infrastructure, Machine Learning, Natural Language Processing

  • Skills you'll gain: Generative AI, Google Cloud Platform, Tensorflow, Artificial Intelligence, MLOps (Machine Learning Operations), Machine Learning, Data Pipelines, Cloud Computing, Natural Language Processing

  • Skills you'll gain: Prompt Engineering, LLM Application, Google Gemini, Generative AI, Large Language Modeling, Google Cloud Platform

  • Status: New

    Skills you'll gain: Google Gemini, Google Workspace, Generative AI, Productivity Software, Google Cloud Platform, Prompt Engineering, Enterprise Security

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

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