Understanding Generative AI in Cloud Computing: Services and Use Cases

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
• New evolutions of generative AI in the cloud
• GenAI business use cases
• Where GenAI is most effective

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
• MLOps and cloud-based generative AI on the cloud
• Emerging GenAI early success
• GenAI case study: Defining the business problem to be solved
• GenAI case study: System architecture
• GenAI case study: Technology solutions

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

• Amazon Bedrock
• Google Cloud AI Platform
• AI and Microsoft Azure
• OpenAI
• GenAI-powered tools: Security
• GenAI-powered tools: DevOps
• GenAI-powered tools: Cloud operations

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
• Data science and generative AI in the cloud
• Gen AI troubleshooting and operations
• Bias monitoring and transparency for generative AI in the cloud
• Challenge: Generative AI on the edge of clouds
• Solution: Generative AI on the edge of clouds

7. Agentic AI and Generative AI in the Cloud

• Overview of agentic AI in the cloud
• Linked between generative AI and agentic AI
• The importance of agentic AI
• Agentic AI and GenAI, what changes, and what's the same
• Multi-AI agent deployment on the cloud
• Agentic AI tools for generative AI development in the cloud
• Where agentic AI is a fit, and not
• Challenge: Agentic AI use case
• Solution: Agentic AI use case

Conclusion

• Trying out cloud-based generative AI