Understanding Generative AI in Cloud Computing: Services and Use Cases
2h 22mBeginner2025-04-22
Authors

David Linthicum
Chief Cloud Strategy Officer at Deloitte Consulting
Course details
Are you seeking 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 at the intersection of generative AI and cloud computing. David covers agentic AI and generative AI in the cloud. He presents an overview of GenAI cloud-based services and features, examining numerous use cases across various industries–including business systems, art, music, video games, text and image generation, data augmentation, personalization, healthcare, robotics, and more. The course wraps up with coverage of advanced considerations, including security and ethics.
Skills covered
Cloud FoundationsAI Agents and Agentic SystemsBuilding with AICloud ComputingOne-Off
Concepts
Introduction
- Cloud-based generative AI
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
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
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
- MLOps and cloud-based generative AI on the cloud
- The future of generative AI in the cloud
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
Cloud-Based Generative AI Tools and Solutions
- Amazon Bedrock
- Google Cloud AI Platform
- AI and Microsoft Azure
- AI on IBM WatsonX
- OpenAI
- Demo - OpenAI API
- Generative AI in the cloud - DevOps
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
- What can go wrong when using GenAI on the cloud
- 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
Agentic AI and Generative AI in the Cloud
- Overview of agentic AI in the cloud
- Linked between generative AI and agentic AI
- Multi-AI agent deployment on the cloud
- Agentic AI tools for generative AI development in the cloud
- Challenge - Agentic AI use case
- Solution - Agentic AI use case
Conclusion
- Trying out cloud-based generative AI