Fundamentals of AI Agents Using RAG and LangChain Training Logo

Fundamentals of AI Agents Using RAG and LangChain Training

Live Online & Classroom Enterprise Training

Explains the architecture and development of AI agents using LangChain. Includes Retrieval-Augmented Generation (RAG) concepts for building intelligent, context-aware chat systems.

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  • Real-time code analysis and feedback

What is Fundamentals of AI Agents Using RAG and LangChain Course about?

This course introduces learners to the foundations of building AI-powered agents using Retrieval Augmented Generation (RAG) and LangChain. You will explore how to integrate large language models (LLMs) with external data sources, knowledge bases, and tools to create intelligent, context-aware applications. By the end, you will gain hands-on experience in designing, implementing, and deploying AI agents for real-world use cases.

What are the objectives of Fundamentals of AI Agents Using RAG and LangChain Course ?

  • Understand the architecture and principles of AI agents. 
  • Implement Retrieval-Augmented Generation (RAG) for knowledge-grounded responses. 
  • Use LangChain to design modular, composable AI workflows. 
  • Integrate LLMs with vector databases for semantic search and retrieval. 
  • Build and deploy real-world AI agent applications.

Who is Fundamentals of AI Agents Using RAG and LangChain Course for?

  • AI/ML Engineers exploring practical applications of LLMs. 
  • Data Scientists building knowledge-driven AI systems. 
  • Software Developers interested in intelligent application development. 
  • Researchers and Innovators working with conversational AI. 
  • Students and professionals aspiring to specialize in AI agents.

What are the prerequisites for Fundamentals of AI Agents Using RAG and LangChain Course?

Prerequisites:  

  • Basic knowledge of Python programming. 
  • Familiarity with large language models (LLMs) and NLP concepts. 
  • Understanding of APIs and cloud-based development environments. 
  • Exposure to databases, preferably vector databases (Pinecone, FAISS, Weaviate). 
  • Interest in applied AI and building intelligent systems. 

Learning Path: 

  • Introduction to AI Agents and RAG 
  • Getting Started with LangChain Framework 
  • Vector Databases and Knowledge Retrieval 
  • Designing Modular and Composable AI Agents 
  • Building and Deploying End-to-End AI Agent Applications 

Related Courses: 

  • Introduction to Generative AI 
  • Building Applications with LangChain 
  • Vector Databases and Semantic Search 
  • Applied NLP with Large Language Models

Available Training Modes

Live Online Training

3 Days

Course Outline Expand All

Expand All

  • Introduction
  • RAG
  • RAG, Encoders, and FAISS
  • Introduction to LangChain
  • Introduction to Prompt Engineering and In-Context Learning
  • Advanced Methods of Prompt Engineering
  • LangChain Core Concepts
  • LangChain Documents for Building RAG Applications
  • LangChain Chains and Agents for Building Applications

Who is the instructor for this training?

The trainer for this Fundamentals of AI Agents Using RAG and LangChain Training has extensive experience in this domain, including years of experience training & mentoring professionals.

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