1 day EN / DE Max 16

Application Development with LLMs on Google Cloud

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.

€920,00 excl. VAT

Individual scheduling

The courses are held as dedicated group sessions. Once you've booked, we'll coordinate a date that works for your team and send invitations to all participants.

Prerequisites

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

What you'll learn

  • 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

Course modules
What is generative AI Vertex AI on Google Cloud Generative AI options on Google Cloud Introduction to course use case
Introduction to Vertex AI Studio Designing and testing prompts Data governance in Vertex AI Studio
Introduction to grounding Integrating the Vertex AI Gemini APIs Chat, memory and grounding Search principles
Review of few-shot prompting Chain-of-thought prompting and thinking budgets Meta prompting, multi-step, and panel prompts RAG and ReAct
LangChain for chatbots ADK for chatbots Chat retrieval
Application Development with LLMs on Google Cloud