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LinkedIn Learning

Understanding Generative AI in Cloud Computing: Services and Use Cases

via LinkedIn Learning

Overview

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Learn how to get started using cloud-based generative AI services and tools like Amazon SageMaker, Google Cloud AI Platform, OpenAI, ChatGPT, and more.

Syllabus

Introduction
  • Cloud-based generative AI
1. Generative AI and Cloud Computing Basics
  • Introduction to cloud-based generative AI
  • The business value of generative AI on cloud platforms
2. Cloud-Based Services for Generative AI
  • Introduction to cloud-based storage and data management
  • Introduction to cloud-based tools for model training and deployment
  • Introduction to cloud-based APIs for generative AI
  • Introduction to cloud-based generative models for image and video data
  • Introduction to Generative Adversarial Networks (GANs) on the cloud
  • Challenge: Set up cloud services for generative AI
  • Solution: Set up cloud services for generative AI
3. Features of Cloud-Based Generative AI
  • Introduction to cloud-based generative AI models for text data
  • Overview of natural language processing (NLP) techniques for text generation
  • Cloud-based tools for training language models
  • Music modeling with recurrent neural networks (RNNs) on the cloud
  • The future of generative AI in the cloud
4. Cloud-Based Generative AI Use Cases
  • Art and music generation use case
  • Game development use case
  • Text generation use case
  • Image and video generation use case
  • Data augmentation use case
  • Personalization use case
  • Medical diagnosis use case
  • Robotics use case
  • Other emerging use cases
  • Challenge: Get creative with art
  • Solution: Get creative with art
5. Cloud-Based Generative AI Tools and Solutions
  • Explore Amazon SageMaker
  • Google Cloud AI Platform
  • AI and Microsoft Azure
  • AI on IBM Watson
  • Understanding OpenAI
  • Demo: OpenAI API
6. Advanced Considerations
  • Edge computing and cloud-based generative AI
  • Federated learning for distributed generative models on the cloud
  • Security and privacy issues in cloud-based generative AI
  • Overview of generative AI ethics in the cloud
  • Challenge: Generative AI on the edge of clouds
  • Solution: Generative AI on the edge of clouds
Conclusion
  • Trying out cloud-based generative AI

Taught by

David Linthicum

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