Generative AI in Cloud Computing: Core Concepts

سرفصل های دوره

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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تولید کننده: LinkedIn Learning (Lynda)