Ementorhub

What you'll learn

In-demand job-ready skills businesses need for building AI agents using RAG and LangChain in just 8 hours.

How to apply the fundamentals of in-context learning and advanced methods of prompt engineering to enhance prompt design.

Key LangChain concepts, tools, components, chat models, chains, and agents.

How to apply RAG, PyTorch, Hugging Face, LLMs, and LangChain technologies to different applications.

Skills you'll gain

Generative AI Agents

Natural Language Processing

Application Development

Generative AI

Prompt Engineering

Large Language Modeling

Artificial Intelligence

Artificial Intelligence and Machine Learning (AI/ML)

There are 2 modules in this course

During this course, you’ll explore retrieval-augmented generation (RAG), prompt engineering, and LangChain concepts. You’ll look at RAG, its applications, and its process, along with encoders, their tokenizers, and the FAISS library. Then, you’ll apply in-context learning and prompt engineering to design and refine prompts for accurate responses. Plus, you’ll explore LangChain tools, components, and chat models, and work with LangChain to simplify the application development process using LLMs. Additionally, you’ll get valuable hands-on practice in online labs developing applications using integrated LLM, LangChain, and RAG technologies. Plus, you’ll complete a real-world project you can discuss in interviews. If you’re keen to boost your resume and extend your generative AI skills to applying transformer-based LLMs, ENROLL today and build job-ready skills in just 8 hours.

Prompt Engineering and LangChain