Agentic AI - Private Agentic RAG with LangGraph and Ollama — 93% OFF Discount Coupon

LangGraph v1, Ollama, Agentic RAG, Private RAG, Corrective RAG, CRAG, Reflexion, Self-RAG, Adaptive RAG, MySQL Agent

★4.6 out of 5
3,653 students
Created by KGP Talkie | Laxmi Kant
English
Updated May 2026

Quick Facts — Course Summary

Here's a quick overview of everything you need to know about Agentic AI - Private Agentic RAG with LangGraph and Ollama before you enroll:

•Course Name: Agentic AI - Private Agentic RAG with LangGraph and Ollama
•Platform: Udemy
•Instructor: KGP Talkie | Laxmi Kant
•Coupon Last Verified: May 12, 2026
•Level: All Levels
•Topic: Development
•Subtopic: Retrieval Augmented Generation (RAG)
•Total Time: 17h 30m of video content
•Language: English
•Access Type: Unlimited lifetime access + updates
•Certificate: Included upon completion from Udemy
•Main Skills: Build private, production-ready Agentic RAG systems using LangGraph v1 and Ollama. · Create custom LLM workflows with LangGraph state machines, nodes, edges, and conditional routing. · Implement PageRAG, metadata extraction, PDF processing with Docling, and page-level ingestion.
•Requirements: Basic Python knowledge is helpful, but all steps are explained clearly for beginners.
•Current Price: $9.99 (was $149.99). You save $140.00 with 93% discount.
•How to Apply: Click the coupon button to activate your discount automatically
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Skills You'll Master

By the end of Agentic AI - Private Agentic RAG with LangGraph and Ollama, you'll have these practical skills:

✓Build private, production-ready Agentic RAG systems using LangGraph v1 and Ollama. .
✓Create custom LLM workflows with LangGraph state machines, nodes, edges, and conditional routing. .
✓Implement PageRAG, metadata extraction, PDF processing with Docling, and page-level ingestion. .
✓Use ChromaDB, embeddings, metadata filtering, and MMR retrieval for high-accuracy search. .
✓Apply BM25+ re-ranking and advanced retrieval pipelines for financial document analysis. .
✓Build Agentic RAG: tool calling, reasoning loops, structured outputs, and multi-step workflows. .
✓Implement Corrective RAG (CRAG) with document grading, query rewriting, and web search fallback. .
✓Create custom Ollama models, Modelfiles, embeddings, and integrate with LangChain. .
✓Build Reflexion, Self-RAG and Adaptive RAG along with MySQL Agent.

What You Need Before Starting

Before enrolling in Agentic AI - Private Agentic RAG with LangGraph and Ollama, make sure you have:

•Basic Python knowledge is helpful, but all steps are explained clearly for beginners.

About This Udemy Course

The following is the full official course description for Agentic AI - Private Agentic RAG with LangGraph and Ollama as published on Udemy by instructor KGP Talkie | Laxmi Kant:

This course is not for absolute beginners in AI - you should first learn LangChain fundamentals, then LangGraph, and only after that take this course for the best learning experience.

Private Agentic RAG with LangGraph and Ollama is an advanced, project-based course that teaches you how to build private, production-ready Retrieval-Augmented Generation (RAG) systems using LangGraph, LangChain, Ollama, ChromaDB, Docling, and Python.

This course is designed for developers who want strong control over their data, full privacy, and complete end-to-end workflows using local LLMs.

You will learn how to build modern RAG systems, implement advanced retrieval pipelines, add agent workflows, use LangGraph state machines, integrate SQL agents, and run everything on your own machine using Ollama. All projects run 100 percent locally, with no external API cost and no data leaving your system.

The entire course is practical. Every concept is explained with step-by-step notebooks, complete Python code, and real examples using SEC financial filings from Amazon, Google, Apple, and Microsoft.

What You Will Learn
Ollama and Local LLM Setup
  • Install and configure Ollama for private LLM deployment
  • Use models like Qwen3, GPT-OSS, Llama 3.2, and nomic-embed
  • Create custom LLMs with Modelfiles
  • Use Ollama CLI and REST API for text, chat, and embeddings
LangGraph Fundamentals
  • Build state machines using TypedDict
  • Create nodes, reducers, and conditional edges
  • Build multi-step workflows with START/END logic
  • Visualize execution with diagrams
  • Understand message accumulation and state merging
Complete RAG Systems (from scratch)
  • Ingest PDFs using Docling with OCR and table extraction
  • Build page-level chunks for accurate retrieval
  • Extract metadata from filenames and LLMs
  • Remove duplicates using SHA-256 hashing
  • Store documents in ChromaDB with metadata filters
Two-Stage Retrieval Pipeline
  • Build metadata filters from natural language
  • Generate financial keywords using structured LLM outputs
  • Use ChromaDB with MMR search
  • Implement BM25Plus re-ranking for better accuracy
  • Extract headings and sections for improved ranking
Agentic RAG using LangGraph
  • Build tool-calling agents using the ReAct pattern
  • Implement document retrieval tools using LangChain
  • Build agents that call tools multiple times
  • Add table-based answers with citations
  • Support multi-turn conversations with memory
Corrective RAG (CRAG)
  • Grade retrieved documents using a Pydantic schema
  • Detect irrelevant results and rewrite queries
  • Add web search fallback using DuckDuckGo
  • Prevent infinite loops with controlled retries
  • Generate final answers with correct citations
MySQL SQL Agent
  • Build a natural-language SQL agent with LangGraph
  • Retrieve schema, generate SQL, validate, run, and fix errors
  • Handle multi-table joins and complex metrics
  • Automatically correct broken SQL queries
  • Support explanations and safe database access
Financial Document Analysis Project
  • Work with real SEC filings: 10-K, 10-Q, 8-K
  • Build a complete RAG system that answers questions like:
  • “What was Amazon’s revenue in 2023?”
  • “Compare Google and Apple’s cash flow for 2024”
  • “Show segment revenue with citations and tables”
  • Use ChromaDB + BM25 for accurate retrieval
  • Produce clean, formatted answers with tables and reasoning
Who This Course Is For
  • Developers and engineers who want to build advanced RAG systems
  • ML practitioners who want full privacy using local LLMs
  • AI engineers working on LangGraph, LangChain, or agent systems
  • Backend developers who want to build real GenAI applications
  • Anyone interested in private, production-grade LLM workflows
This is an advanced-level course. Good LangGraph or Langchain knowledge is required.

Why This Course Is Different
  • The entire course runs locally using Ollama
  • Zero API cost and complete data privacy
  • Covers modern RAG techniques: PageRAG, CRAG, Reflexion ideas
  • Real datasets from top tech companies
  • Covers LangGraph deeply with real production workflows
  • Includes SQL agents, financial RAG systems, and multi-step agents
  • Step-by-step, practical, and code-heavy
By the End of This Course You Will Be Able To
  • Build private, production-ready RAG systems
  • Deploy and fine-tune local LLMs with Ollama
  • Build graph-based agents using LangGraph v1
  • Create advanced retrieval pipelines using MMR and BM25Plus
  • Analyze financial documents with precise citations
  • Build SQL agents for natural language database queries
  • Handle query rewriting, grading, and web fallback
  • Build complete agentic RAG applications end-to-end

Compare Similar Courses

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Is the Agentic AI - Private Agentic RAG with LangGraph and Ollama Coupon Worth It?

Expert review by Andrew Derek, Lead Course Analyst at CoursesWyn.•Last updated: May 12, 2026.

Based on analysis of the curriculum structure, student engagement metrics, and verified rating data, Agentic AI - Private Agentic RAG with LangGraph and Ollama is a high-value resource for learners seeking to build skills inDevelopment. Taught by KGP Talkie | Laxmi Kant on Udemy, the 17h 30m 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 93%, from $149.99 to $9.99, removing the primary financial barrier to enrollment.

✓What We Like (Pros)

  • Verified 93% price reduction makes this course accessible to learners on any budget.
  • Aggregate student rating of 4.6 out of 5 indicates high learner satisfaction.
  • Strong enrollment base with over 3,653 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 Agentic AI - Private Agentic RAG with LangGraph and Ollama:

  • 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

Agentic AI - Private Agentic RAG with LangGraph and Ollama Course holds an aggregate rating of 4.6 out of 5 based on 3,653 student reviews on Udemy.

4.6
★★★★★
3,653 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.

Instructor Profile

The following section provides background information on KGP Talkie | Laxmi Kant, the instructor responsible for creating and maintaining Agentic AI - Private Agentic RAG with LangGraph and Ollama on Udemy.

Agentic AI - Private Agentic RAG with LangGraph and Ollama is taught by KGP Talkie | Laxmi Kant, 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: KGP Talkie | Laxmi Kant
•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 Agentic AI - Private Agentic RAG with LangGraph and Ollama, 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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