Learn LangChain, Implement applications powered with LLM models like OpenAI – A complete project-based learning.
What you will learn
Helps you to create LLM powered applications that will help you save time and increase efficiency
By the end of the course , you will be capable of working on real time projects
Explore useful concepts that can be used in your projects
Get downloadable resources for hands-on
Description
Learn LangChain from scratch by implementing applications powered with LLM models like OpenAI, and Hugging Face using Python – A complete project-based learning which will help you go from zero to hero.
This extensive LangChain course is made to give you the abilities and information needed to create innovative LLM solutions for a range of problems.
You will go on a journey throughout the course, beginning from scratch and using LangChain to create practical LLM-powered applications as we progress.
With the help of LangChain, programmers may fully use large language models (LLMs) and produce ground-breaking applications. It makes it possible for language models, like ChatGPT, to be integrated with external data sources, improving their capacity to understand and respond to human language. LangChain, which was created using Python, provides an easy-to-use interface, especially for beginners.
LangChain is the best library for you if you want to construct sophisticated language-based applications rather than sticking with basic techniques like keyword matching or rule-based systems. Developers can open up significant possibilities by utilizing the strength of LLMs and combining them with other cognitive or information sources thanks to LangChain.
Course Covers:
This is a complete practice-based course, where you will learn the concepts by actually implementing the concepts:
* LangChain
* LLMs
* Chat Models
* Prompts
* Indexes
* Chains
* Agents
* Memory
You will do practical activities and real-world projects throughout the course to strengthen your understanding of the concepts and techniques. You will be competent in applying LangChain to build strong, effective, and scalable LLM applications for a variety of uses by the end of the course.
Content