Techpratham can help you learn LangChain (Lang Chain) so you can make smart AI apps that link LLMs to other tools, APIs, and sources of information. Learn how to make AI workflows that are aware of their surroundings, changeable, and ready for production.
Level
Advanced
Duration
8 weeks
Placement Client
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About Lang chain
Techpratham's LangChain Training Program teaches students how to use the powerful framework to make LLM-powered apps. You will learn about LangChain's main parts, such as chains, memory, agents, and how to connect it to APIs, databases, and vector stores. The course focuses on making chatbots, RAG pipelines, and automating workflows. At the end, participants will know how to use LangChain to make AI solutions that can grow and work for businesses.
Training Plan
About trainer
Working professional who is carrying more then 10 years of industry experience.
Decks & Updated Content
Access to updated presentation decks shared during live training sessions.
e-Book
E-book provided by TechPratham. All rights reserved.
Assignments & MCQs
Module-wise assignments and MCQs provided for practice.
Video Recording
Daily Session would be recorded and shared to the candidate.
Projects
Live projects will be provided for hands-on practice.
Resume Building
Expert-guided resume building with industry-focused content support.
Interview Preparation
Comprehensive interview preparation with real-time scenario practice.
Lang chain Course Curriculum
Introduction to LangChain
Learn the fundamentals and importance of LangChain in LLM applications.
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Additional Program Highlights
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Who Should Take Lang chain
IT Professionals
Non-IT Career Switchers
Fresh Graduates
Working Professionals
Ops/Administrators/HR
Developers
BA/QA Engineers
Cloud / Infra
IT Professionals
Non-IT Career Switchers
Fresh Graduates
Job Roles For Lang chain
Key Projects
Lang chain
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Flipkart – AI Customer Support Automation using LangChain
Scenario: Flipkart receives thousands of customer queries daily related to order tracking, product returns, and payment issues. The company wants to implement an AI-powered customer support assistant that can automatically answer customer questions by retrieving information from internal documentation and FAQs. Using LangChain, the system integrates a Large Language Model with a knowledge base to provide accurate and context-aware responses.
Live Work:
- Knowledge Base Integration
- AI Chatbot Development
- Order Tracking Integration
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Infosys – AI Resume Screening System using LangChain
Scenario: Infosys receives thousands of job applications for technical roles every month. The HR team wants to automate the resume screening process by using AI to analyze resumes and match candidates with job descriptions. Using LangChain, the system can read resumes, extract key skills, and rank candidates based on job requirements.
Live Work:
- Resume Data Processing
- Skill Matching Engine
- Candidate Ranking Dashboard
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Tata Consultancy Services – Enterprise Knowledge Assistant using LangChain
Scenario: TCS employees work with large amounts of internal documentation, technical manuals, and project reports. Finding the right information quickly can be difficult. The company wants to develop an AI knowledge assistant that allows employees to ask questions and instantly retrieve answers from internal documents.
Live Work:
- Document Ingestion System
- Contextual AI Question Answering
- Multi-Document Search Interface
Placement Process
Live Class with Industry Use Cases
- Interactive learning
- Real-world examples
- Expert guidance
- Doubt resolution
Daily Assignment & Weekly Assessments
- Hands-on practice
- Concept reinforcement
- Weekly evaluation
- Timely feedback
Project Testing & Deployment
- Project development
- Testing practice
- Deployment exposure
- Portfolio creation
Interview Preparation (Mock, PD, Alumni Session)
- Mock interviews
- Personal development
- Alumni guidance
- Confidence building
Resume Building
- Resume crafting
- Industry-focused format
- Skills highlighting
- Professional presentation
Placement
- Job assistance
- Interview support
- Career guidance
- Opportunity access
Knowledge Center
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What Makes TechPratham Training Different?
Course FAQs
Why should I use LangChain instead of directly using LLM APIs?
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