Live / groupBuilding Production Agentic AI Systems: LangChain, LangGraph, RAG & Evaluation
Duration20 Hours
LevelBeginner
CategoryProfessionals
About this course
Build production-grade agentic AI systems with LangChain and LangGraph. This hands-on course takes you from prompt chains returning validated Pydantic objects, through tool-calling agents and LangGraph state machines, to supervisor-routed multi-agent systems, agentic RAG, and a complete evaluation harness with regression gates.
Most LLM tutorials stop at "it produced a plausible answer." This course goes further — into deterministic orchestration, human approval gates, retrieval strategy, and the evaluation discipline that separates a demo from a system you can ship.
Every lab is grounded in real network operations scenarios — alarm triage, KPI correlation, incident search — not toy problems. And every module covers when a pattern is the wrong choice, not just how it works.
Taught by a practitioner who has deployed agentic AI on mission-critical infrastructure serving 1.5M+ users across 50+ countries.
Why learn with Infyni Kids
- 100% Verified Teachers
- Weekly Evaluation
- Personalized Homework Support
- Regular PTM
- Guarantee Child’s Success
- Progress Reports
What you'll learn
✓Build LLM chains using LCEL that return validated, typed Pydantic objects instead of free text
✓Add conversational memory with correct session isolation across concurrent users
✓Design tools an LLM selects reliably, and explain who decides versus who executes in the ReAct loop
✓Build deterministic branching workflows in LangGraph with typed state and conditional routing
✓Insert human approval checkpoints into an agentic workflow and resume execution after a decision
✓Design supervisor-routed multi-agent systems and justify when a single agent is the better choice
✓Build RAG pipelines and decide what belongs in a vector store versus a structured tool call
✓Evaluate retrieval and generation separately using precision, recall etc
✓Run a golden-set evaluation as a regression gate before shipping any prompt or retriever change
✓Explain transformer internals — attention, KV-caching, hallucination mechanics
Course content
4 modulesYour instructor
AMITRAJ DEB✓
0 students1 course0 reviews
Senior AI Transformation Leader & Enterprise AI Architect with 20+ years at Motorola Solutions. Personally architected 10+ AI solutions — RAG pipelines, LangChain/LangGraph agentic workflows, Voice AI, and ML Anomaly Detection — on a platform serving 1.5M+ users across 50+ countries. Led GenAI adoption across 9 global sites achieving 85% tool penetration. I teach from real enterprise delivery experience
$116.04
7-day Money Back! Guarantee
Not right for you? Full refund within 7 days or after 2 classes - no questions asked.
This course includes
Level: Beginner
Session: Group
Duration: 20 HoursRelated Course
Courses you might be interested in
Live / group
Live / 1-on-1
Live / group
