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RAG with LangChain Course

Rated 5 out of 5
  • 19056
  • Intermediate

Infibee Technologies offers India’s Industry Oriented RAG with LangChain Training with global certification and job Placement Guidance.

Ignite your career with our RAG with LangChain Course, is guided by 11+ years of industry-experienced experts with Practical knowledge through case studies, real time projects and assignments. Our Course includes affordable fees, hands-on mock projects, resume preparation, interview preparation, placement training, and lifetime access to recorded sessions of live classes.

Join our RAG with LangChain Training Institute and ignite your career future with high-paying job opportunities in top companies.

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RAG with LangChain Course Overview

RAG (Retrieval-Augmented Generation) using LangChain is an AI development methodology whereby information retrieval capabilities are fused together with large language models (LLMs) to produce outputs that are influenced by external data. Unlike other approaches where the internal knowledge contained within the LLMs alone is used in generating outputs, RAG methodologies involve retrieving information from documents, databases, knowledge bases, and other sources, and feeding the information to the models prior to producing an output. LangChain enables the construction of these AI systems by integrating different components with the LLMs.

The RAG with LangChain Course at Infibee Technologies is designed to help learners understand how to develop practical retrieval-augmented AI applications. The course can cover the complete workflow, from collecting and processing documents to creating embeddings, storing vectors, retrieving relevant information, and integrating retrieved context with LLMs. Learners can also explore application development, evaluation, and deployment concepts.

The importance of a RAG with LangChain Course comes from the growing use of generative AI for working with enterprise and domain-specific information. The RAG method assists applications in providing answers based on the chosen data, thus making it applicable in fields like customer support, document question answering, knowledge assistants, research, and even internal information systems. The learning of LangChain along with RAG allows students and professionals to gain hands-on experience regarding the various elements that form part of the creation of AI-driven applications.

Course Topics Covered Applications Tools & Technologies
Introduction to Generative AI, LLMs, RAG and LangChain AI-powered knowledge assistants Python, LangChain, LLMs
RAG Architecture and Workflow Question answering systems LangChain, LLM APIs
Document Loading and Data Processing Document-based chatbots Document Loaders, Python
Text Splitting and Chunking Enterprise document search LangChain Text Splitters
Embeddings and Semantic Search Knowledge-base assistants Embedding Models
Vector Databases and Vector Storage Retrieval-based applications FAISS, Chroma, Pinecone
Retrievers and Retrieval Strategies Context-aware AI applications LangChain Retrievers
Prompt Engineering for RAG Contextual response generation Prompt Templates, LLMs
Building RAG Pipelines PDF and document Q&A LangChain, Python
Conversational RAG AI chat applications LangChain, Chat Models
RAG Evaluation and Optimization Improving retrieval and response quality Evaluation Frameworks, LLMs
RAG Application Deployment Concepts Production-oriented AI solutions APIs, Python, Cloud Platforms

Why Choose Infibee Technologies for an RAG with LangChain Course?

  • RAG with LangChain-focused training
  • Industry-oriented AI and Generative AI curriculum
  • Training led by experienced industry professionals
  • Hands-on RAG and LangChain projects
  • Practical exposure to LLM application development
  • Training on document processing and retrieval workflows
  • Vector database and semantic search concepts
  • Prompt engineering and LLM integration
  • Real-world use cases and application development
  • Career guidance for AI and Generative AI roles
  • Recorded session access for course revision
  • Structured learning for students and working professionals
  • Practical exposure to Python and AI development tools
  • Training focused on building portfolio-ready projects
  • Guidance on developing RAG-based applications
  • Learning resources for continued practice and revision

RAG with LangChain Training Institute – Get Certified with Infibee Technologies

Infibee Technologies is one of the Best RAG with LangChain Training Institute based on technology that are aimed at making students, freshers, and professional learners more skillful in different things. In case learners are eager to know how to deal with RAG using LangChain, the training should cover the main aspects of Generative AI applications, such as retrieval-augmented generation workflow, language models usage, document manipulation, embedding, vector database management, retrieval strategies, and application development.

A practical approach and skills development are in the basis of the RAG with LangChain Course, which means that the learners will be able to connect theoretical concepts with implementation. Hands-on learning and project-based training will enable participants to work with technologies that are usually applied in the course of development of AI-enabled applications. An industry-oriented training curriculum will make learners familiar with the necessary concepts through various exercises and projects.

Infibee Technologies can also assist learners in preparing for interviews and career development, thus helping them prepare for technical conversations, projects, resumes, and careers related to artificial intelligence. The learning experience is intended to provide a combination of technical concepts and practical application so participants can progressively develop their RAG and LangChain skills.

Trainer Experience

Training sessions are designed around practical industry-oriented learning, with experienced instructors guiding learners through RAG, LangChain, LLM, and application development concepts.

Real-Time Project Exposure

Hands-on projects help learners understand real-world AI agent development by applying retrieval, LLM integration, document processing, and application-building concepts.

Certification / Company Background

Infibee Technologies provides technology training and certification support, helping learners document their course participation and acquired RAG with LangChain skills.

Affordable Course Fees

The course is designed with affordable fee options, allowing students and professionals to access structured RAG with LangChain learning and practical training.

Teaching Methodology

Instructor-led sessions combine practical Knowledge, real time exercises, doubt clarification, mock projects, and interview preparation for application-focused learning.

Certification

Infibee Technologies provides RAG with LangChain certification support to learners completing the training, documenting their participation and learning in relevant Generative AI and LangChain concepts.

Modes of RAG with LangChain Training

  • Classroom Training
  • Online Training
  • Corporate Training
  • Self-Placed Training

Global Certifications Available for RAG with LangChain Training

S. No. Certification Code Cost Certification Expiry
1 LCAE – LangChain Certified Agent Engineer US$99 (approximately ₹8,300–₹8,500, exchange-rate dependent) 24 months
2 Microsoft AI-901 – Azure AI Fundamentals ₹3,691 in India Microsoft credential terms apply
3 Microsoft AI-103 – Azure AI Apps and Agents Developer Associate US$165; India price should be confirmed on the Microsoft portal at registration Microsoft credential terms apply
4 AWS Certified AI Practitioner – AIF-C01 ₹8,553 (AWS foundational exam price in India) 3 years

Who Can Join?

  • Students interested in Generative AI and AI application development
  • Fresh graduates looking to build practical AI development skills
  • Python developers moving into LLM and Generative AI development
  • Software developers interested in RAG and AI agents
  • Machine Learning Engineers expanding into LLM applications
  • Data Scientists exploring retrieval-augmented AI systems
  • AI/ML professionals developing agentic AI capabilities
  • Backend developers interested in integrating LLMs into applications
  • Working IT professionals planning a transition into Generative AI
  • Technical professionals who want hands-on experience with LangChain, vector databases, embeddings, and RAG
  • Entrepreneurs and product developers exploring AI-powered applications

Career Opportunities in RAG with LangChain

Job Role Typical Responsibilities
Generative AI Engineer Build and deploy LLM-powered applications, RAG pipelines, and AI workflows
AI Engineer Develop production AI applications integrating models, retrieval, APIs, and data
AI/LLM Engineer Build LLM applications using RAG, embeddings, vector search, and evaluation
Agentic AI Engineer Develop AI agents, tool-calling workflows, and multi-step agent systems
RAG Engineer Design document ingestion, retrieval, reranking, grounding, and generation pipelines
Generative AI Developer Develop applications using LLM APIs, LangChain, vector databases, and Python
Applied AI Engineer Apply AI models to business problems and integrate them into production systems
AI Solutions Architect Design AI application architectures involving LLMs, RAG, agents, and cloud services
LLM Application Developer Build applications around language models, prompts, retrieval, and APIs
AI/ML Engineer – GenAI Combine machine learning engineering with Generative AI and agentic workflows

Who’s Hiring Advanced RAG with LangChain Professionals?

  1. EPAM – Senior Software Engineer roles involving agentic workflows.
  2. The Machine Learning Company (TMLC) – GenAI Engineer roles involving RAG pipelines
  3. DXC Luxoft – GenAI Engineer roles involving RAG, LangChain/LangGraph and Azure AI.
  4. iVentureTeam – AI/LLM Engineer roles involving vector databases.
  5. Capco, a Wipro company – GenAI Developer/Engineer roles listing LLM, RAG, LangChain.
  6. Infosys – Recent listings include Generative AI/Agentic AI roles
  7. Deloitte – Recent Applied AI Engineer listings

Can I Study RAG with LangChain in Other Locations?

How to Register for the RAG with LangChain Course at Infibee Technologies?

Step 1: Contact Infibee Technologies

Get in touch with the training team and enquire about the RAG with LangChain course, syllabus, fees, schedule, and available training mode.

Step 2: Attend a Demo or Discuss Your Requirements

If a demo session is available, attend it to understand the teaching approach, course structure, projects, and learning methodology.

Step 3: Select Your Batch and Enroll

Choose the available training mode and batch that suits your schedule, complete the registration process, and begin the course.

Enroll Today: Unlock Your RAG with LangChain Training Potential

Contact Infibee Technologies, attend a demo if available, and explore the course structure and learning options. This will help you understand the RAG with LangChain course approach and choose an option that suits your career goals.

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  • Designed for Working Professionals and Freshers
  • 24/7 Lifetime Support
  • Certification Oriented Curriculum
  • Flexible Class Shedule
  • FREE Demo on Request
  • One-on-One Doubt Clearing
  • Real-time Project Use cases
Join in a group of three or more on same course we will be delighted to offer you a group discount upto 30%.
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Upcoming RAG with LangChain Batches

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RAG with LangChain Course Syllabus

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Learn to build production-ready Retrieval-Augmented Generation (RAG) applications using LangChain and modern LLM technologies. Master document processing, embeddings, vector databases, retrieval strategies, prompt engineering, and conversational RAG workflows. Build real-world AI applications using LangChain, LLMs, vector stores, evaluation techniques, and deployment best practices.

  • Introduction to Generative AI and Large Language Models
  • LLM architecture and capabilities
  • What is RAG?
  • RAG architecture and workflow
  • RAG vs. fine-tuning
  • Real-world RAG use cases
  • Introduction to LangChain
  • LangChain architecture and ecosystem
  • Models, prompts and messages
  • Chains and runnable components
  • LangChain Expression Language (LCEL)
  • Building a basic LLM application
  • Loading PDFs, Word, CSV and web data
  • LangChain document loaders
  • Text cleaning and preprocessing
  • Document metadata
  • Handling large document collections
  • Data preparation for RAG
  • Why document chunking matters
  • Recursive and semantic text splitting
  • Chunk size and overlap optimization
  • Embedding fundamentals
  • Open-source and API-based embedding models
  • Measuring embedding similarity
  • Vector database fundamentals
  • FAISS, Chroma and other vector stores
  • Creating and storing embeddings
  • Similarity search
  • Metadata filtering
  • Building retrievers with LangChain
  • Creating a complete RAG pipeline
  • Retriever and document chain
  • Prompt templates
  • Context injection
  • Answer generation
  • Source-document retrieval
  • Building a basic RAG chatbot
  • Semantic vs. keyword search
  • Hybrid retrieval
  • Multi-query retrieval
  • Query rewriting
  • Contextual compression
  • Reranking
  • Parent-document retrieval
  • Conversational RAG architecture
  • Chat history and memory concepts
  • LangChain agents
  • Tool calling
  • Agentic retrieval workflows
  • Multi-step question answering
  • Building intelligent AI assistants
  • RAG evaluation fundamentals
  • Retrieval and response quality metrics
  • Hallucination reduction
  • RAG evaluation with modern frameworks
  • Prompt injection and data security
  • Latency and cost optimization
  • Production troubleshooting
  • Building RAG APIs
  • FastAPI integration
  • Docker and deployment concepts
  • Monitoring and observability
  • Scaling RAG applications
  • Enterprise RAG architecture
  • Multimodal and Agentic RAG trends
  • Capstone project implementation
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Hands On RAG with LangChain Projects

Enroll in our RAG with LangChain classes, where our course focuses on providing high-quality training with a strong foundation in core concepts and a practical approach. Through exposure to current industry use cases and scenarios, participants will enhance their skills and gain the ability to execute real-time projects using best practice

PDF Document Q&A Chatbot with LangChain

  • Upload and process multiple PDF documents
  • Implement document chunking and embeddings
  • Store embeddings in a vector database
  • Build a LangChain RAG pipeline
  • Generate context-grounded answers with source references

Enterprise Knowledge Base Assistant

  • Integrate multiple enterprise documents and data sources
  • Implement semantic and hybrid retrieval
  • Add metadata-based filtering
  • Implement conversational question answering
  • Evaluate and optimize retrieval accuracy

Agentic RAG Research Assistant

  • Build an intelligent LangChain-based agent
  • Combine RAG with external tools and knowledge sources
  • Implement query planning and multi-step retrieval
  • Add tool calling and structured responses
  • Deploy the application as a production-ready AI assistant

For Corporates

Educate your workforce with new skills to improve their performance and productivity.

Corporate Training
  • Customised training with customised curriculum to meet the requirements of your workforce
  • Diversified learning models Live online training, Self-paced videos, On-premises training, and Classroom training
  • Dedicated lab setup with software installation, evaluation reports of employees, and study material with video recoding
  • We have a diverse pool of skilled instructors from numerous industries, ensuring the best fit for your customised requirements
  • Track and measure the impact of training on individuals and teams with our evaluation performance report
"Leading Companies We've Served"
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Our Instructor
Name
Mr. Krishnan
Experience
7+ Years
Specialized in
Specialized in Generative AI, LangChain, RAG, Large Language Models, AI Agents, Vector Databases, Prompt Engineering, and production-grade AI application development.
More Details
The trainer specializes in developing practical Generative AI applications using LangChain, LLMs, RAG architectures, and AI agents. Training combines conceptual learning with hands-on coding, real-world architecture, debugging, evaluation, and deployment practices. Participants gain practical experience by developing multiple end-to-end projects aligned with modern 2026 AI application development.
Schedule A free Demo

RAG with LangChain Training Objectives

Our Best RAG with LangChain Training aims to empower participants with comprehensive skills and practical knowledge in this field. Objectives include mastering core concepts, applying skills through real-world projects, critical thinking, and tackling professional challenges. This enhances career development and contributes to industry advancement.

Basic to intermediate Python knowledge is recommended for this course. You should be comfortable with variables, functions, classes, APIs, packages, and basic programming concepts. Advanced Machine Learning knowledge is not mandatory because the RAG concepts are taught step by step.

The course covers LangChain, LLMs, embedding models, vector databases, retrievers, prompt templates, and AI agents. It also introduces technologies and techniques such as FAISS, Chroma, hybrid search, reranking, and RAG evaluation. The technology stack can be adapted to current models and LangChain ecosystem developments during 2026.

You will build three practical applications: a PDF Q&A Chatbot, an Enterprise Knowledge Base Assistant, and an Agentic RAG Research Assistant. The projects cover document processing, vector search, conversational RAG, advanced retrieval, and LangChain agents.

RAG is an AI application architecture that retrieves relevant information before generating an answer. LangChain is a framework/toolkit that provides components for building RAG pipelines and other LLM applications. In simple terms, RAG describes the approach, while LangChain can be used to implement that approach.

Yes, LangChain can be used to develop applications such as knowledge assistants, document chatbots, customer-support systems, and research tools. Production systems require additional attention to security, evaluation, monitoring, scalability, latency, and cost.

Yes, the course is structured to take learners from RAG fundamentals to advanced LangChain implementations. Participants progressively learn LLMs, embeddings, vector databases, retrieval, chains, agents, and evaluation.

Job Assistance Program

Our Job Assistance Programme offers you special guidance through the course curriculum and helps in your interview preparation.

Specialised Curriculum
Get on-field knowledge and skills from our expert instructors.
Assessment
Upgrade your on-field skills with our assessments and track your progress in real time.
Hands-on Project
Our hands-on project help you gain experience in real-time working.
Certification Guidance
A global certificate always helps you stand out from the crowd.
Portfolio Building
Experts guide you to maximise your profile with current industry trends that employers expect.
Placment Cell
We promote your abilities and showcase your portfolio to employers.
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RAG with LangChain Career Opportunity

RAG with LangChain is the most common programming language, and it works on all computers and mobile devices without needing to be upgraded. It is one of the highest-paying careers in the software development industry, and those with the RAG with LangChain certification can earn an average of  8 LPA per year.

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Placement Guidance & Interview Preparation

Infibee’s placement guidance navigates you to your desired role in top organisations, ensuring you stand out and excel in every opportunity.

  • Resume Enhancement: Updating and enhancing your resume to effectively highlight your abilities, experience, and accomplishments.
  • Mock Interviews: Practice real-life interviews with feedback to fine-tune your responses, boost confidence, and reduce anxiety.
  • Industry Insights: Stay informed about industry trends, company culture, and expectations to excel in interviews.
  • Job Portal Updation: Update or create your profile in job portals with our guidance and listing of key words for your preferred designation.
  • Customized Preparation: Targeted preparation for specific job roles, ensuring you are well-prepared for role-specific questions.
  • Interview Strategies: Comprehensive coaching on interview techniques and communication skills to ace any interview.
  • Confidence Building: Boosting self-assurance and equipping you with the mindset needed to excel during interviews.
  • Online Presence: Optimizing your online presence, including LinkedIn profiles and social media, to align with your career goals.
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RAG with LangChain Training FAQ's

Infibee RAG with LangChain Training offers wide range of services that suits for both fresher and experienced persons via both offline and online at your suitable time slots.

You need not worry about having missed a class. Our dedicated course coordinator will help them with anything and everything related to administration. The coordinator will arrange a session for the student with trainers in place of the missed one.

Yes, of course. You can contact our team at Infibee Technologies, and we will schedule a free demo or a conference call with our mentor for you.

We provide classroom, online, and self-based study material and recorded sessions for students based on their individual preferences.

Yes, all our trainers are industry professionals with extensive experience in their respective domains. They bring hands-on practical and real-world knowledge to the training sessions.

Yes, participants typically receive access to course materials, including recorded sessions, assignments, and additional resources, even after the training concludes.

We provide placement assistance to students, including resume building, interview preparation, and job placement support for a wide range of software courses.

Yes, we offer customisation of the syllabus for both individual candidates and corporate also.

Yes, we offer corporate training solutions. Companies can contact us for customised programmes tailored to their team’s needs.

Participants need a stable internet connection and a device (computer, laptop, or tablet) with the necessary software installed. Detailed technical requirements are provided upon enrollment.

In most cases, such requests can be accommodated. Participants can reach out to our support team to discuss their preferences and explore available options.

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