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 out of 5
153 students
Created by Paolo Dichone
English
Updated March 2026

Quick Facts — Production AI Agents with LangChain + LangGraph [2026] Overview

Here's a quick overview of everything you need to know about Production AI Agents with LangChain + LangGraph [2026] before you enroll:

•Course Name: Production AI Agents with LangChain + LangGraph [2026]
•Platform: Udemy
•Instructor: Paolo Dichone
•Coupon Last Verified: March 11, 2026
•Level: Advanced
•Topic: Development
•Subtopic: LangGraph
•Total Time: 17h of video content
•Language: English
•Access Type: Unlimited lifetime access + updates
•Certificate: Included upon completion from Udemy
•Main Skills: 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
•Requirements: Python intermediate level — comfortable with functions, classes, decorators, and type hints · Basic command line familiarity — creating directories, running scripts, installing packages
•Current Price: $12.99 (was $199.99). You save $187.00 with 94% discount.
•How to Apply: Click the coupon button to activate your discount automatically
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Skills You'll Master in This Course

By the end of Production AI Agents with LangChain + LangGraph [2026], you'll have these practical skills:

✓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.

Prerequisites for This Course

Before enrolling in Production AI Agents with LangChain + LangGraph [2026], make sure you have:

•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

The following is the full official course description for Production AI Agents with LangChain + LangGraph [2026] as published on Udemy by instructor Paolo Dichone:

Stop building AI demos. Start shipping AI agents that handle real workloads in production.

Most LangChain and LangGraph tutorials teach you how to call an LLM and leave you on your own when it is time to build something real.

This course picks up where they stop. From Lecture 1, you will build production-ready AI agent systems using the same patterns companies are paying $150K salaries for in 2026.

This is a project-first, production-first course covering LangChain v0.3, LangGraph 1.0, RAG pipelines, multi-agent orchestration, security, testing, LangSmith observability, FastAPI deployment, and Docker.

All code uses the latest stable APIs as of January 2026.

What you will build:
  • Customer Support Agent: RAG-powered knowledge base with Chroma, structured issue classification, automatic ticket escalation. Target: reduce Tier-1 support tickets by 40 percent.
  • Multi-Agent Research System: Specialist agents running in parallel with state management, convergence patterns, and quality loops. Target: cut research time from 4 hours to 20 minutes.
  • Production FastAPI + LangGraph API: Full request pipeline with security middleware, response caching, rate limiting, structured logging, metrics, LangSmith tracing, and Docker deployment to Render

What you will learn:
  • LangChain v0.3 Mastery: LCEL chain composition, structured output with Pydantic, multi-provider LLM switching (OpenAI, Anthropic, HuggingFace), streaming, and batch processing
  • Complete RAG Pipelines: Document loading, intelligent text splitting, embeddings, vector stores with Chroma, and 4 advanced retrieval patterns: Multi-Query, Contextual Compression, Hybrid Search, and Parent Document Retriever
  • LangGraph Deep Dive (4 hours): State machines with TypedDict, conditional routing, self-correcting loops, human-in-the-loop workflows with interrupt patterns, and checkpoint persistence
  • Multi-Agent Orchestration: Supervisor pattern, agent handoffs, parallel execution with fan-out and fan-in, inter-agent communication, and hierarchical team structures
  • Production Security: Prompt injection defense with regex patterns, PII detection and masking for emails, SSNs and credit cards, LLM-as-Guard pattern, and output validation
  • LLM Testing and Evaluation: Unit tests with mocks, integration tests, regression tests, AB prompt testing, and semantic scoring across correctness, relevance, coherence, and helpfulness
  • Production Deployment: FastAPI integration, rate limiting, response caching with SHA-256 hashing and TTL, structured JSON logging, metrics collection, LangSmith tracing, Docker, and cloud deployment to Render

How this course is different:

Most AI courses stop at hello world demos. This course is production-first from day one. Every concept is taught through working, deployable code. Security and testing are dedicated modules, not afterthoughts. You will implement error handling, fallbacks, cost optimization, and monitoring throughout. The final API project wires everything together into a system you can actually ship.

This course is for you if:
  • You are a Python developer who wants to add AI agent engineering skills to your toolkit
  • You have done LangChain tutorials and can call an LLM, but do not know how to build something that handles errors, scales, and stays stable in production
  • You are a backend or full-stack developer who wants to integrate AI agents into existing products and APIs
  • You are targeting the AI engineer role and need a portfolio of deployed, real-world projects to show employers

Requirements:
  • Python at an intermediate level (functions, classes, decorators, type hints)
  • Basic command line familiarity
  • An OpenAI API key (costs roughly $2 to $5 for the entire course)
  • No prior LangChain or LangGraph experience required

About the instructor:

Paulo Dichone is an AI engineer and educator with over 340,000 students across 71 courses. Every pattern in this course comes from real production systems. You will get the same battle-tested approaches, shortcuts, and lessons learned from building AI applications that run in the real world.

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

Expert review by Andrew Derek, Lead Course Analyst at CoursesWyn.•Last updated: March 11, 2026.

Based on analysis of the curriculum structure, student engagement metrics, and verified rating data, Production AI Agents with LangChain + LangGraph [2026] is a high-value resource for learners seeking to build skills inDevelopment. Taught by Paolo Dichone on Udemy, the 17h course provides a structured progression from foundational concepts to advanced techniques— making it suitable for learners at all levels. The current coupon reduces the price by 94%, from $199.99 to $12.99, removing the primary financial barrier to enrollment.

✓What We Like (Pros)

  • Verified 94% price reduction makes this course accessible to learners on any budget.
  • Aggregate student rating of 5.0 out of 5 indicates high learner satisfaction.
  • Strong enrollment base with over 153 students demonstrates course popularity and trust.
  • Includes an official Udemy completion certificate and lifetime access to all future content updates.

!Keep in Mind (Cons)

The following limitations should be considered before enrolling in Production AI Agents with LangChain + LangGraph [2026]:

  • The depth of Development coverage may be challenging for absolute beginners without the listed prerequisites.
  • Lifetime access is contingent on the continued operation of the Udemy platform.
  • Hands-on projects and quizzes require additional time investment beyond video watch time.
Final Verdict: Worth It
This course offers exceptional value with current pricing
✓

Course Rating Summary

Production AI Agents with LangChain + LangGraph [2026] has earned an aggregate rating of 5.0 out of 5 from 153 verified student reviews on Udemy. Below is the detailed rating distribution showing learner satisfaction across all star levels.

5.0
★★★★★
153 Verified Ratings
5 stars
75%
4 stars
15%
3 stars
6%
2 stars
2%
1 star
2%

* Rating distribution is approximated from the aggregate score. Sourced from Udemy.

About the Instructor — Paolo Dichone

Production AI Agents with LangChain + LangGraph [2026] is taught by Paolo Dichone, a Udemy instructor specializing in Development. For the full instructor biography, professional credentials, and a complete list of their courses, visit the official instructor profile on Udemy.

•Instructor Name: Paolo Dichone
•Subject Area: Development
•Teaching Approach: Practical, project-based instruction focused on real-world application of Development skills.

Frequently Asked Questions

The following questions and answers cover the most common queries about Production AI Agents with LangChain + LangGraph [2026], its coupon code, pricing, and enrollment process.

About the Author

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Andrew Derek

Lead Course Analyst at CoursesWyn with 8+ years of experience evaluating online learning platforms. I've analyzed 500+ Udemy courses and helped thousands of learners choose the right courses for their career goals.

⭐4.8/5 Rating
✓Trusted by 10K+ Students

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