Langchain In Action: Develop LlmPowered Applications

Langchain In Action: Develop Llm-Powered Applications
Last updated 7/2024
MP4 | Video: h264, 1280×720 | Audio: AAC, 44.1 KHz

From the Basics of LLMs to Production-Grade Microservice Architecture with Kubernetes

What you’ll learn
Master LangChain from basics to advanced features
Understand and implement Retrieval Augmented Generation (RAG) using VectorStores
Learn about the creation and use of powerful Autonomous Agents.
Grasp the functionalities and applications of the Indexing API.
Explore the LangSmith Platform for production ready application
Learn about Microservice architecture in the context of large language model (LLM) applications.
Learn about the new LangChain Expression Language with the Runnable Interface

Requirements
Intermediate Python Skills (OOP, Datatypes, Functions, modules etc.)
Helpful: Terminal and Docker knowledge

Description
Who this course is for:
Python Developers, AI Enthusiats

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