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
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Course Title: Production AI Agents with LangChain + LangGraph [2026]
Provider: Udemy (Listed via CoursesWyn)
Instructor: Paolo Dichone
Coupon Verified On: March 11, 2026
Difficulty Level: All Levels
Category: Development
Subcategory: LangGraph
Duration: 17h of on-demand video
Language: English
Access: Lifetime access to all course lectures and updates
Certificate: Official certificate of completion issued by Udemy upon finishing all course requirements
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 · 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
Price: $12.99 with coupon / Regular Udemy price: $199.99. Applying this coupon saves you $187.00 (94% OFF).
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Requirements
Please review the following prerequisites to ensure you have the necessary tools and foundational knowledge for this training.
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 Course
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- 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
- 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
- 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
- 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
Meet Your Instructor
Academic background and professional track record of the subject matter expert responsible for this curriculum.
Paolo Dichone
Verified Architect
A global leader with specialized excellence in Development. Instructors are vetted for curriculum quality, responsiveness, and consistent student success across the Udemy platform.
Course Comparison
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| Feature Benchmarks | This Verified Offer | Global Standard |
|---|---|---|
| Cost Verification | FREE (100% Validated) | Fixed Subscription Fee |
| Enrollment Type | Professional Lifetime Access | Limited Time Ownership |
| Certification Award | Included with Access Code | Required Add-on Fee |
Expert Review
"After auditing the curriculum depth and verifying the live access protocol, Production AI Agents with LangChain + LangGraph [2026] stands as an essential career asset. For a verified cost of $0, the return-on-learning ratio far exceeds commercial alternatives."
✅ Strategic Advantages
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Official Certificate: Credential generated at no cost.
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Mobile Friendly: Full access via smart TV & mobile.
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Expert Pacing: Modular design for professional schedules.
❌ Considerations
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Technical Depth: Requires focused 10+ hours study.
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Tool Prep: Certain labs require proprietary software setups.
Course Rating
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Andrew Derek
Expert ReviewerAndrew Derek is a lead editor and course analyst at CoursesWyn with over 8 years of experience in online education and digital marketing. He meticulously audits every Udemy coupon and course syllabus to ensure students get the highest quality learning materials at the best possible price.
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