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خانه » فروشگاه » Generative AI in Cloud Computing: Core Concepts

Generative AI in Cloud Computing: Core Concepts

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Are you looking for an overview of cloud-based generative AI (GenAI) services? Join instructor David Linthicum in this introductory course as he covers the core concepts, tools, services, and common considerations lying at the intersection of generative AI and cloud computing.

Get an overview of GenAI cloud-based services and features by examining use cases across a wide variety of industries, including core business systems, as well as art, music, video games, text and image generation, data augmentation, personalization, healthcare, robotics, and more. Along the way, learn how to get started with AI tools such as Amazon SageMaker, Google Cloud AI Platform, OpenAI, ChatGPT, IBM Watson, and Microsoft Azure. David offers advanced insights on best practices for edge computing, federated learning, security, digital privacy, and ethics. You can also test out your new skills as you go in the practice challenges at the end of each section.


01 - Introduction
  • 01 - Cloud-based generative AI

    • 02 - 1. Generative AI and Cloud Computing Basics
  • 01 - Introduction to cloud-based generative AI
  • 02 - The business value of generative AI on cloud platforms

    • 03 - 2. Cloud-Based Services for Generative AI
  • 01 - Introduction to cloud-based storage and data management
  • 02 - Introduction to cloud-based tools for model training and deployment
  • 03 - Introduction to cloud-based APIs for generative AI
  • 04 - Introduction to cloud-based generative models for image and video data
  • 05 - Introduction to Generative Adversarial Networks (GANs) on the cloud
  • 06 - Challenge Set up cloud services for generative AI
  • 07 - Solution Set up cloud services for generative AI

    • 04 - 3. Features of Cloud-Based Generative AI
  • 01 - Introduction to cloud-based generative AI models for text data
  • 02 - Overview of natural language processing (NLP) techniques for text generation
  • 03 - Cloud-based tools for training language models
  • 04 - Music modeling with recurrent neural networks (RNNs) on the cloud
  • 05 - The future of generative AI in the cloud

    • 05 - 4. Cloud-Based Generative AI Use Cases
  • 01 - Art and music generation use case
  • 02 - Game development use case
  • 03 - Text generation use case
  • 04 - Image and video generation use case
  • 05 - Data augmentation use case
  • 06 - Personalization use case
  • 07 - Medical diagnosis use case
  • 08 - Robotics use case
  • 09 - Other emerging use cases
  • 10 - Challenge Get creative with art
  • 11 - Solution Get creative with art

    • 06 - 5. Cloud-Based Generative AI Tools and Solutions
  • 01 - Explore Amazon SageMaker
  • 02 - Google Cloud AI Platform
  • 03 - AI and Microsoft Azure
  • 04 - AI on IBM Watson
  • 05 - Understanding OpenAI
  • 06 - Demo OpenAI API

    • 07 - 6. Advanced Considerations
  • 01 - Edge computing and cloud-based generative AI
  • 02 - Federated learning for distributed generative models on the cloud
  • 03 - Security and privacy issues in cloud-based generative AI
  • 04 - Overview of generative AI ethics in the cloud
  • 05 - Challenge Generative AI on the edge of clouds
  • 06 - Solution Generative AI on the edge of clouds

    • 08 - Conclusion
  • 01 - Trying out cloud-based generative AI
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    مدرس:
    شناسه: 22074
    حجم: 185 مگابایت
    مدت زمان: 101 دقیقه
    تاریخ انتشار: 8 آبان 1402
    دسته بندی محصول
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