Application Development with LLMs on Google Cloud
In this course, you explore tools and APIs available on Google Cloud for integrating large language models (LLMs) into your application. After exploring generative AI options on Google Cloud, you explore LLMs and prompt design in Vertex AI Studio. Then you learn about LangChain, an open-source framework for developing applications powered by language models. After a discussion around more advanced prompt engineering techniques, you put it all together to build a multi-turn chat application by using LangChain and the Vertex AI Gemini API.
7 hours
VirtualExplore the different options available for using generative AI on Google Cloud. Use Vertex AI Studio to test prompts for large language models. Develop LLM-powered applications using LangChain and LLM models on Vertex AI. Apply prompt engineering techniques to improve the output from LLMs. Build a multi-turn chat application using the Gemini API and LangChain.
Module 1: Introduction to Generative AI on Google CloudExplore the different options available for using generative AI on Google Cloud.Module 2: Vertex AI StudioUse Vertex AI Studio to test prompts for large language models. Understand how Vertex AI Studio keeps your data secure.Module 3: LangChain FundamentalsUnderstand basic concepts and components of LangChain. Develop LLM-powered applications using LangChain and LLM models on Vertex AI.Module 4: Prompt EngineeringApply prompt engineering techniques to improve the output from LLMs. Implement a RAG architecture to ground LLM models.Module 5: Creating Custom Chat Applications with Vertex AI Gemini APIUnderstand the concept of memory for multi-turn chat applications. Build a multi-turn chat application by using the Gemini API and LangChain.
Application developers and others who wish to leverage LLMs in applications.
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