Course Overview
Large Language Models powered by world-class Google AI.
Google Cloud brings innovations developed and tested by Google DeepMind to our enterprise-ready AI platform so customers can start using them to build and deliver generative AI capabilities today — not tomorrow.
In this course, you explore tools and APIs available on Google Cloud for integrating large language models (LLMs) into your application.
After exploring generative AI options on Google Cloud, you explore LLMs and prompt design in Vertex AI Studio. Then you learn about LangChain, an open-source framework for developing applications powered by language models.
After a discussion around more advanced prompt engineering techniques, you put it all together to build a multi-turn chat application by using LangChain and the Vertex AI Gemini API.
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What are the skills covered
- 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 LangChain and LLM models on Vertex AI.
- Apply prompt engineering techniques to improve the output from LLMs.
- Build a multi-turn chat application using the Gemini API and LangChain.
Who should attend this course
AI/ML Professionals
Course Curriculum
What are the Prerequisites
Completion of “Introduction to Developer Efficiency on Google Cloud” or equivalent knowledge.
Course Modules
Exam & Certification
Note: There is no exam directly associated with this course. However, Google Cloud offers an extensive portfolio of industry-recognized certifications that can help you stand out as a tech professional in 2025 and beyond. Obtaining a Google Cloud certified credential is one of the most effective ways to validate your skills and accelerate your career.
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