Explore the world of cloud-based generative AI (GenAI) services with instructor David Linthicum in this introductory course, "Understanding Generative AI in Cloud Computing: Services and Use Cases.” When integrating with cloud computing, find out the basics about generative AI, tools, services, and important factors.
Learn the capabilities and usage of GenAI SaaS solutions in general processes and industries such as main business processes, artwork, music production, video games, writing and drawing, data enrichment, customization, medicine, robotics, and others. Introduce AI tools like Amazon Sagemaker, Google Cloud AI Platform, OpenAI, chat GBT, IBM Watson, and Microsoft Azure.
Understanding Generative AI in Cloud Computing: Services and Use Cases offers deep and sophisticated knowledge on the following aspects of edge computing: Security and Privacy, Edge AI, Ethical Challenges and Technologies, and Federated Learning. The sections with actual problems are divided into subsections, and each subsection ends with practice problems to consolidate the newly acquired knowledge.
Understanding Generative AI in Cloud Computing: Services and Use Cases Table of Contents:
- Introduction
- Generative AI and Cloud Computing Basics
- Cloud-Based Services for Generative AI
- Features of Cloud-Based Generative AI
- Cloud-Based Generative AI Use Cases
- Cloud-Based Generative AI Tools and Solutions
- Advanced Considerations
- Conclusion
Who is this course for?
- AI enthusiasts and beginners
- Cloud computing professionals
- Data scientists and analysts
- IT and software engineers
- Business leaders and decision-makers
- The target audience consists of specialists in the healthcare industry, robotics industry, and creative workers
- Any capital-intensive firm interested in the possibilities of AI and Cloud technologies
Click on the links below to Download Understanding Generative AI in Cloud Computing: Services and Use Cases!
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