Google Build LangChain Applications using Vertex AI
Published:
Certification details
What you will learn:
- LangChain Fundamentals: Gain a strong understanding of LangChain, a powerful framework for building and deploying Generative AI applications. This includes:
- Understanding the core concepts of LangChain, including chains, prompts, and agents.
- Learning how to integrate different AI models and data sources into LangChain applications.
- Retrieval Augmented Generation (RAG): Master the RAG technique for creating more accurate and context-aware Generative AI applications. This includes:
- Understanding how RAG works, combining retrieval systems with generative models.
- Implementing RAG in LangChain applications for enhanced knowledge retrieval and response generation.
- Vertex AI Integration: Learn how to leverage Google Cloud’s Vertex AI platform to power your LangChain applications. This includes:
- Using Vertex AI’s Generative AI capabilities, including PaLM 2 and other advanced models.
- Leveraging Vertex AI’s features for building and deploying scalable LangChain applications.
- Building Text-Based Applications: Develop practical skills in creating text-based Generative AI applications using LangChain and RAG. This includes:
- Understanding how to effectively design prompts and optimize your applications for better results.
- Deploying your applications for real-world use cases.
Why earn this certification:
- Become a LangChain Expert: Gain proficiency in building Generative AI applications using the popular LangChain framework.
- Harness RAG for Enhanced Accuracy: Master the Retrieval Augmented Generation (RAG) technique to improve the context and accuracy of your AI applications.
- Leverage Vertex AI Power: Learn to utilize the advanced capabilities of Google Cloud’s Vertex AI platform to enhance your Generative AI projects.
- Build Real-World Applications: Develop practical skills in creating text-based applications that solve real-world problems.