Understanding Generative AI in Cloud Computing: Services and Use Cases (2023)

Course details

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.

Concepts

0. Introduction

01 - Cloud-based generative AI

1. Generative AI and Cloud Computing Basics

02 - Introduction to cloud-based generative AI
03 - The business value of generative AI on cloud platforms

2. Cloud-Based Services for Generative AI

04 - Introduction to cloud-based storage and data management
05 - Introduction to cloud-based tools for model training and deployment
06 - Introduction to cloud-based APIs for generative AI
07 - Introduction to cloud-based generative models for image and video data
08 - Introduction to Generative Adversarial Networks (GANs) on the cloud
09 - Challenge - Set up cloud services for generative AI
10 - Solution - Set up cloud services for generative AI

3. Features of Cloud-Based Generative AI

11 - Introduction to cloud-based generative AI models for text data
12 - Overview of natural language processing (NLP) techniques for text generation
13 - Cloud-based tools for training language models
14 - Music modeling with recurrent neural networks (RNNs) on the cloud
15 - The future of generative AI in the cloud

4. Cloud-Based Generative AI Use Cases

16 - Art and music generation use case
17 - Game development use case
18 - Text generation use case
19 - Image and video generation use case
20 - Data augmentation use case
21 - Personalization use case
22 - Medical diagnosis use case
23 - Robotics use case
24 - Other emerging use cases
25 - Challenge - Get creative with art
26 - Solution - Get creative with art

5. Cloud-Based Generative AI Tools and Solutions

27 - Explore Amazon SageMaker
28 - Google Cloud AI Platform
29 - AI and Microsoft Azure
30 - AI on IBM Watson
31 - Understanding OpenAI
32 - Demo - OpenAI API

6. Advanced Considerations

33 - Edge computing and cloud-based generative AI
34 - Federated learning for distributed generative models on the cloud
35 - Security and privacy issues in cloud-based generative AI
36 - Overview of generative AI ethics in the cloud
37 - Challenge - Generative AI on the edge of clouds
38 - Solution - Generative AI on the edge of clouds

Conclusion

39 - Trying out cloud-based generative AI

Understanding Generative AI in Cloud Computing: Services and Use Cases (2023)

Authors

David Linthicum