LangChain
Build Production LLM Applications with LangChain and LangGraph
In this course, you will: Build LLM applications using LangChain's model, prompt, and chain abstractions; Design and deploy RAG pipelines with document loaders, splitters, and retrievers; Implement tool-using agents with LangChain and LangGraph.

35+
Hours
8
Modules
14
Topics
4.7
Rating
Beginner-Friendly
Level
New
Batches weekly
About LangChain
Build Production LLM Applications with LangChain and LangGraph
In this course, you will: Build LLM applications using LangChain's model, prompt, and chain abstractions; Design and deploy RAG pipelines with document loaders, splitters, and retrievers; Implement tool-using agents with LangChain and LangGraph.
What This Training Covers
The LangChain programme at Tutorsbot spans 35+ hours across 8 structured modules. Every module is built around hands-on projects and real-world scenarios — not slide-heavy theory. Your instructor walks you through each concept with live demonstrations, code reviews, and practical exercises so you can apply what you learn from day one. The curriculum is aligned with current Technology Training industry expectations and hiring patterns.
Enrollment & Training Quality
LangChain is available in 2 flexible learning modes — choose online live classes, classroom, hybrid, self-paced, or one-on-one depending on your schedule. Every batch is limited in size to ensure each learner receives personal attention, code-level feedback, and doubt resolution. Career support and certification are included with every enrolment. Tutorsbot instructors are working professionals who teach from delivery experience, and the training standard stays consistent across all modes and batches.
Course Curriculum
8 modules · 14 topics · 35 hrs
01LangChain Fundamentals
7 topics
LangChain Fundamentals
7 topics
- LangChain ecosystem — Core, community, integrations, and LangSmith
- LangChain v0.3 architecture — LCEL, Runnable protocol, and component design
- Chat model abstraction — Invoking OpenAI, Anthropic, and Ollama models uniformly
- Messages API — SystemMessage, HumanMessage, AIMessage, and ToolMessage
- Prompt templates — ChatPromptTemplate and partial prompts for reuse
- Output parsers — StrOutputParser, JsonOutputParser, and PydanticOutputParser
- LCEL chains — Pipe operator for composing runnables end-to-end
02Document Loaders and Text Splitting
7 topics
Document Loaders and Text Splitting
7 topics
- LangChain document loaders — PDF, CSV, HTML, Notion, Confluence, and web
- Document object — PageContent and metadata structure
- RecursiveCharacterTextSplitter — Parameters and best practices
- Semantic text splitter for context-aware chunk boundaries
- Token-based splitting for exact context window control
- Custom loaders — Building loaders for proprietary data sources
- Async loading — Concurrent document loading for large ingestion jobs
Vector Stores and Retrieval
Topics included
5 more modules available
Enter your details to unlock the complete syllabus
Enrol in This Course
All prices inclusive of 18% GST. Same curriculum & certification across all formats. Updated Aug 2026.
Online Live
Live instructor-led sessions from anywhere, with recordings for catch-up.
GST ₹2,288 included
EMI from ₹2,500/mo
or
What You Get After Completion
Every graduate receives a verified certificate, a portfolio of real projects, and dedicated career support.
Verified Certificate
Digitally signed with a permanent shareable link — not just for attendance.
LinkedIn-importable·Permanent URL·PDF download
Project Portfolio
Real, deployable projects reviewed by your instructor — ready for interviews.
Instructor-reviewed·GitHub-hosted·Interview-ready
Career Support
Résumé review, mock interviews, LinkedIn guidance, and employer introductions.
1-on-1 coaching·Mock interviews·Employer connect
Meet Your Instructor
Every LangChain batch is led by a practitioner who teaches from production experience, not textbooks.
Industry Expert
Senior Technology Professional
Senior professionals with substantial hands-on delivery experience at top companies, bringing real-world projects, industry insights, and best practices.
How We Teach
- Concepts start with a real problem so theory lands in context
- Projects reviewed the way a senior colleague reviews pull requests
- Every topic includes the kind of questions you'll face in interviews
Hire LangChain Talent from Tutorsbot
Companies hiring LangChain talent from Tutorsbot receive pre-assessed profiles backed by project work, instructor review, and interview-ready candidates who can explain what they built and why.
Why hire from us
Project repositories with documented technical decisions
Assessment outcomes backed by instructor context
Candidate readiness shaped by interview-style practice
Project-based portfolios available
Frequently Asked Questions
Everything you need to know about LangChain, answered by our training experts
1Who should take LangChain?
2Does LangChain include a certificate?
3Is placement support included with LangChain?
4How long does LangChain take to complete?
5What is the mode of delivery for LangChain?
6Can I get a free demo class for LangChain?
7What kind of projects will I work on in LangChain?
8What if I miss a class?
9Is LangChain worth it for experienced professionals?
10What is the refund policy for LangChain?
11Do you offer corporate or group training?
12How are the instructors selected at Tutorsbot?
13Will I get lifetime access to LangChain materials?
14Can I switch between batch timings?
15What support do I get after completing the course?
Still have questions?
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