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Create Generative AI Apps on Google Cloud
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Create Generative AI Apps on Google Cloud
Generative AI applications can create new user experiences that were nearly impossible before the invention of large language models (LLMs). As an application developer, how can you use generative AI to build engaging, powerful apps on Google Cloud?
In this course, you'll learn about generative AI applications and how you can use prompt design and retrieval augmented generation (RAG) to build powerful applications using LLMs. You'll learn about a production-ready architecture that can be used for generative AI applications and you'll build an LLM and RAG-based chat application.
Course Info
Objectives
- Describe generative-AI-based application types and use cases.
- Describe how to build prompt templates to improve model response quality in applications.
- Describe the subsystems of RAG-capable architectures for generative AI applications on Google Cloud.
- Build an LLM and RAG-based chat application.
Prerequisites
Programming experience is recommended. Basic proficiency with command-line tools and Linux operating system environments is helpful. Basic understanding of Generative AI is helpful but not required.
Audience
Application developers, architects, and cloud engineers.
Available languages
English
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Explore Google Cloud content on Coursera and Pluralsight.
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View the public classroom schedule here.
Can I take this course for free?
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