Advanced Gemini for Developers

سرفصل های دوره

Creating applications grounded by powerful foundational modals can open new worlds for you and your users. In this course, learn to use Google Gemini applications patterns and tools to build large language model-based applications. These include patterns for prompt validation, effective retrieval-augmented generation (RAG), and fine tuning. Instructor Lynn Langit also shares comparisons of Gemini, Gemma, and other foundational LLMs for your application scenarios.

01 - Introduction

01 - Design and implement LLM-based applications using Google Gemini

02 - What you should know

03 - About using cloud services

02 - 1. Agent Builder

01 - Understand Google Agent Builder

02 - Use Agent Builder with cloud builder

03 - Build recommender app with Agent Builder

04 - Use Agent Builder with FIHR databases

03 - 2. Vertex AI Studio

01 - Test language models

02 - Test vision models

03 - Test speech models

04 - Test multi models

04 - 3. Model Garden

01 - Test Gemini and Gemma models

02 - Test Hugging Face

03 - Test open source models

04 - Test medical open source models

05 - 4. Jump Start Architectures

01 - GenAI RAG with Cloud SQL

02 - Generative knowledge base

03 - GenAI RAG on GKE

04 - GenAI RAG on VertexAI with evaluation

06 - Conclusion

01 - Next steps

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تولید کننده: LinkedIn Learning (Lynda)