Description
LangChain Mastery: Build Advanced AI Applications. This course is a comprehensive program for learning the LangChain framework and building advanced AI applications using Large Language Models (LLMs). This course is designed to teach the fundamentals and advanced aspects of the LangChain framework so that participants can build production-ready applications using AI. The course starts with the basics and moves on to advanced workflows to enable the integration of large language models like OpenAI into real-world scenarios. Along the way, learners will learn about systems architecture, memory management, prompt engineering, and performance optimization. In addition, there are dedicated sections on API connections, security error management, and enterprise implementation to provide the skills needed for various industries, including customer support, finance, and healthcare. Participants learn how to develop chains and agents and create scalable and secure projects.
What you will learn
- Langchin principles and architecture and how to integrate it with Large Language Models (LLMs)
- Building sequential chains and routers and developing custom tools for agents
- Effectively manage long conversations and maintain status quo during interactions
- Designing structured prompts and troubleshooting AI workflows
- Connecting to external APIs and deploying Langchin in enterprise environments
- Secure API management, error management, and system performance optimization
This course is suitable for people who:
- AI developers and engineers looking to build applications
- Data Scientists and Machine Learning Professionals (ML Practitioners)
- Technology enthusiasts who want to explore applications based on large language models
- Programmers who want to improve their skills in AI workflows
LangChain Mastery: Build Advanced AI Applications Course Details
- Publisher: Udemy
- Instructor: Deepak Kapila
- Training level: Beginner to advanced
- Training duration: 2 hours and 31 minutes
- Number of lessons: 22
Course headings
Prerequisites for the LangChain Mastery: Build Advanced AI Applications course
- Basic knowledge of Python programming is recommended, as the course involves coding with LangChain and LLMs. No prior experience with AI, machine learning, or LangChain is required, making it accessible for developers transitioning into advanced AI app development.
Course images
Sample course video
Installation Guide
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Quality: 1080p
Download link
Rapidgator link
File(s) password: www.downloadly.ir
File size
407 MB