Course Overview
In this course, you'll dive into the details of using Large Language Models (LLMs) in your applications. You'll start by exploring the core principles that underpin prompting LLMs. Next, you will focus on Google's latest family of models, Gemini. You'll explore the various Gemini models and their multimodal capabilities. This includes a deep dive into effective prompt design and engineering within the Vertex AI Studio environment. Then, the course moves to application development frameworks and how to implement these concepts into your applications.
Who should attend
Application developers and others who wish to leverage LLMs in applications.
Prerequisites
Completion of Introduction to Developer Efficiency on Google Cloud (IDEGC) or equivalent knowledge.
Course Objectives
- Explore 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 generative AI
- Apply advanced prompt engineering techniques to improve the output from LLMs
- Build a multi-turn chat application using the Gemini API and LangChain
Outline: Application Development with LLMs on Google Cloud (ADLGC)
Module 1 - Introduction to Generative AI on Google Cloud
Topics:
- What is generative AI
- Vertex AI on Google Cloud
- Generative AI options on Google Cloud
- Introduction to course use case
Module 2 - Vertex AI Studio
Topics:
- Introduction to Vertex AI Studio
- Designing and testing prompts
- Data governance in Vertex AI Studio
Activities:
- Lab: Getting Started with the Vertex AI Studio User Interface
Module 3 - Generative AI Fundamentals
Topics:
- Introduction to grounding
- Integrating the Vertex AI Gemini APIs
- Chat, memory and grounding
- Search principles
Activities:
- Lab: Getting Started with LangChain + Vertex AI Gemini API
Module 4 - Prompt Engineering
Topics:
- Review of few-shot prompting
- Chain-of-thought prompting and thinking budgets
- Meta prompting, multi-step, and panel prompts
- RAG and ReAct
Activities:
- Lab: Advanced Prompt Architectures
Module 5 - Creating Custom Chat Applications with Vertex AI Gemini API
Topics:
- LangChain for chatbots
- ADK for chatbots
- Chat retrieval
Activities:
- Lab: Implementing RAG Using LangChain