Generative AI on Google Cloud with LangChain
Design scalable generative AI solutions with Python, LangChain, and Vertex AI on Google Cloud
JZMTCreated by Leonid Kuligin, Jorge Zaldívar, Maximilian Tschochohei
Explore how to design and deploy scalable generative AI solutions using Python, LangChain, and Google Cloud's Vertex AI. Learn to connect large language models with real-world data and build robust applications for tasks like text generation and summarization. Gain practical skills for enterprise-ready AI development.
Packt | Dec 2024 | 306 min
What You Will Learn
You will start by understanding the fundamentals of large language models and how LangChain connects them to external data and services. Through hands-on examples and real-world scenarios, you'll practice building applications with Vertex AI and LangChain, mastering advanced techniques and proven design patterns for production-ready solutions.
Key Features
- Build and deploy scalable generative AI applications using LangChain and Vertex AI
- Apply advanced techniques like Retrieval-Augmented Generation for real business needs
- Develop repeatable design patterns and workflows for enterprise-grade AI solutions
Target Audience
This content is ideal for application developers or machine learning engineers with Python experience who want to expand into generative AI. If you're looking to use Google Cloud and LangChain to build scalable AI solutions or bring enterprise AI projects to life, you'll find practical guidance and actionable skills to reach your goals.
