Production AI Agents with LangChain + LangGraph [2026] — 94% Off Coupon

Master RAG, Multi-Agent Systems, LangGraph and FastAPI -- Build and Deploy Real-World AI Agent Projects in Python

5.0 153 students enrolledCreated by Paolo DichoneLast updated: 🌐 English

Course Overview — Key Details

A quick-reference summary of the most important course details: provider, instructor, difficulty, duration, and what the coupon covers.

Course Title: Production AI Agents with LangChain + LangGraph [2026]
Provider: Udemy (listed via CourseSpeak)
Instructor: Paolo Dichone
Coupon Verified On: March 11, 2026
Difficulty Level: Advanced
Category: Development
Subcategory: LangGraph
Duration: 17h of on-demand video
Language: English
Access: Lifetime Access · Mobile & TV compatible
Certificate: Certificate of completion included
Top Learning Outcomes: Build composable LLM chains using LangChain v.1's LCEL with structured output, streaming, batch processing, and multi-provider switching · Implement production RAG pipelines with intelligent chunking, vector stores, and 4 advanced retrieval patterns: Multi-Query, Contextual Compression, Hybrid Sear · Design stateful AI agents with LangGraph state machines, conditional routing, self-correcting loops, and human-in-the-loop approval workflows
Prerequisites: Python intermediate level — comfortable with functions, classes, decorators, and type hints · Basic command line familiarity — creating directories, running scripts, installing packages
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What You'll Learn

Skills and competencies you'll gain from this Udemy course:

Build composable LLM chains using LangChain v.1's LCEL with structured output, streaming, batch processing, and multi-provider switching .
Implement production RAG pipelines with intelligent chunking, vector stores, and 4 advanced retrieval patterns: Multi-Query, Contextual Compression, Hybrid Sear .
Design stateful AI agents with LangGraph state machines, conditional routing, self-correcting loops, and human-in-the-loop approval workflows .
Orchestrate multi-agent systems using supervisor patterns, agent handoffs, parallel execution, and hierarchical team structures .
Secure LLM applications against prompt injection, PII leakage, and output manipulation with production-grade defense layers .
Test and evaluate LLM systems using unit tests, integration tests, and semantic evaluation across correctness, relevance, and coherence .
Deploy production APIs with FastAPI, rate limiting, response caching, structured logging, metrics, LangSmith tracing, and Docker .
Build 3 real-world applications: Customer Support Agent, Multi-Agent Research System, and Code Review Agent, each with measurable business ROI.

Course Requirements & Prerequisites

Background knowledge or tools recommended before starting this course:

Python intermediate level — comfortable with functions, classes, decorators, and type hints
Basic command line familiarity — creating directories, running scripts, installing packages
A code editor such as VS Code (free) and an OpenAI API key (costs $2–5 for the entire course)
No prior LangChain or LangGraph experience needed — Section 1 covers all foundations from scratch

About This Udemy Course

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About the Instructor

This course is taught by Paolo Dichone. For full instructor bio, credentials, and other courses they teach, visit the instructor profile on Udemy.

Instructor: Paolo Dichone
Field: Development
Teaching Style: Practical, project-based learning (as described in course curriculum)

Is the Production AI Agents with LangChain + LangGraph [2026] Coupon Worth It?

Production AI Agents with LangChain + LangGraph [2026] is a development course offered on Udemy by instructor Paolo Dichone, spanning 17h of on-demand content. It holds a 5.0/5 rating from over 153 enrolled students.

Through CourseSpeak, you can access this course with a 94% discount coupon. The coupon was last verified on March 11, 2026. Udemy coupons are time-limited and claimed on a first-come basis — we recommend redeeming as soon as possible.

New to redeeming coupons? Visit our How to Redeem Udemy Coupon on CourseSpeak for detailed instructions on how to apply coupon codes.

✓ Our Take: Based on the rating (5.0/5) and enrollment numbers (153 students), this course appears well-regarded in its category. Use the coupon to access it at a significantly reduced price — and judge for yourself using Udemy's 30-day money-back guarantee.

Course Rating Summary

Aggregate rating data sourced from Udemy as of March 2026. For individual student reviews, visit the course page directly.

5.0
153 ratings
5 stars
75%
4 stars
15%
3 stars
6%
2 stars
2%
1 star
2%

* Rating distribution is estimated. For exact per-star counts, visit the Udemy course page.

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