Google Build LangChain Applications using Vertex AI

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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.

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