Industry Use Cases for Generative AI
In this course, you explore generative AI (Gen AI) use cases across specific industries using Google Cloud. After a general discussion of generative AI, participants perform a deep dive into two specific use cases before exploring their own applications within the same framework. This course is designed for professionals across various roles, including business analysts, data scientists, software developers, business users, and decision-makers who want to leverage generative AI for business solutions.
- Duration: 3 hours
- Languages: English, German
- Level: Introductory
- Group size: Up to 50
What you'll learn
- Real-world Insights: Gain insights into generative AI use cases across industries such as retail, automotive, software development, and financial services.
- Google Cloud Tools: Become familiar with Google Cloud tools including Gemini and Vertex AI Agent Builder.
- Application Prioritization: Learn how to identify and prioritize potential AI applications within your own organization.
Prerequisites
- None
Course outline
Understanding Generative AI
- GenAI versus AI/ML
- GenAI Applications
- Business Impact of GenAI
Use Case: Marketing and Customer Outreach
- Challenge and use case definition
- Value to business
- Components of the solution
- Solution demo and discussion
Use Case: Drive Store Productivity
- Challenge and use case definition
- Value to business
- Components of the solution
- Solution demo and discussion
Ideating your Gen AI use cases
- Generative AI use cases
- Evaluation of use cases
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Not sure which course fits?
Book a 30-minute call. We'll look at where your team is, what they need to be able to do, and put together either a specific course date or a tailored learning plan.