Who should attend:
Application developers and others who wish to leverage LLMs in applications.
Module 1 - Introduction to Generative AI on Google Cloud
Topics:
- Vertex AI on Google Cloud
- Generative AI options on Google Cloud
- Introduction to course use case
Objectives:
- Explore the different options available for using generative AI on - Google Cloud.
Module 2 - Vertex AI Studio
Topics:
- Introduction to Vertex AI Studio
- Available models and use cases
- Designing and testing prompts in the Google Cloud console
- Data governance in Vertex AI Studio
Objectives:
- Use Vertex AI Studio to test prompts for large language models.
- Understand how Vertex AI Studio keeps your data secure
Activities:
Lab: Exploring Vertex AI Studio
Module 3 - LangChain Fundamentals
Topics:
- Introduction to LangChain
- LangChain concepts and components
- Integrating the Vertex AI PaLM APIs
- Question/Answering Chain using PaLM API
Objectives:
- Understand basic concepts and components of LangChain
- Develop LLM-powered applications using LangChain and LLM models on Vertex AI
Activities:
Lab: Getting Started with LangChain + Vertex AI PaLM API
Module 4 - Prompt Engineering
Topics:
- Review of few-shot prompting
- Chain-of-thought prompting
- Retrieval augmented generation (RAG)
- ReAct
Objectives:
- Apply prompt engineering techniques to improve the output from LLMs.
- Implement a RAG architecture to ground LLM models.
Activities:
Lab: Prompt Engineering Techniques
Module 5 - Creating Custom Chat Applications with Vertex AI PaLM API
Topics:
- LangChain for chatbots
- Memory for multi-turn chat
- Chat retrieval
Objectives:
- Understand the concept of memory for mult-iturn chat applications.
- Build a multi-turn chat application by using the PaLM API and LangChain.
Activities:
Lab: Implementing RAG Using LangChain