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Application Development with LLMs on Google Cloud v.2.0
Course 1479
1 DAY COURSE

Price:
Course Outline

This course teaches participants core prompting principles and focuses on Google's Gemini models (Flash-lite, Flash, Pro) and their multimodal capabilities. The course covers accessing these models through the Google AI APIs and Vertex AI, including prompt design in Vertex AI Studio. A large part of the training is dedicated to application frameworks like LangChain and Agent Development Kit, covering concepts such as RAG (Retrieval Augmented Generation) and agents.

Application Development with LLMs on Google Cloud v.2.0 Benefits

  • This course will empower you to:

    • 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.

    Prerequisites

    Completion of "Introduction to Developer Efficiency on Google Cloud" or equivalent knowledge.

    Who Should Attend:

    Application developers and others who wish to leverage Large Language Models (LLMs) in applications.

LLM App Dev on Google Cloud Course Training Outline

Learning Objectives

Module 1

Introduction to Generative AI on Google Cloud

  • 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

  • Introduction to Vertex AI Studio
  • Designing and testing prompts
  • Data governance in Vertex AI Studio

Module 3

Generative AI Fundamentals

  • Introduction to grounding
  • Integrating the Vertex AI Gemini APIs
  • Chat, memory and grounding
  • Search principles

Module 4

Prompt Engineering

  • Review of few-shot prompting
  • Chain-of-thought prompting and thinking budgets
  • Meta prompting, multi-step, and panel prompts
  • RAG and ReAct

Module 5

Creating Custom Chat Applications with Vertex AI Gemini API  

  • LangChain for chatbots
  • ADK for chatbots
  • Chat Retrieval
Course Dates
Attendance Method

How will you be attending the class?

Selecting 'Live Virtual' allows you to attend remotely from work or home. You will receive email communication well before the class starts with detailed instructions on how to validate your equipment and connect to the classroom for a quality learning experience.

Additional Details (optional)

Private Team Training

Interested in this course for your team? Please complete and submit the form below and we will contact you to discuss your needs and budget.