Agentic AI - Private Agentic RAG with LangGraph and Ollama — 90% Off Coupon

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

4.6 2,515 students enrolledCreated by KGP Talkie | Laxmi KantLast 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: Agentic AI - Private Agentic RAG with LangGraph and Ollama
•Provider: Udemy (listed via CourseSpeak)
•Instructor: KGP Talkie | Laxmi Kant
•Coupon Verified On: February 13, 2026
•Difficulty Level: All Levels
•Category: Development
•Subcategory: Retrieval Augmented Generation (RAG)
•Duration: 15h 30m of on-demand video
•Language: English
•Access: Lifetime Access · Mobile & TV compatible
•Certificate: Certificate of completion included
•Top Learning Outcomes: 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.
•Prerequisites: Basic Python knowledge is helpful, but all steps are explained clearly for beginners.
•Coupon: Click REDEEM COUPON below to apply discount
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What You'll Learn

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

✓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.

Course Requirements & Prerequisites

Background knowledge or tools recommended before starting this course:

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

About This Udemy Course

Full course description including curriculum, tools covered, and learning methodology:

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About the Instructor

This course is taught by KGP Talkie | Laxmi Kant. For full instructor bio, credentials, and other courses they teach, visit the instructor profile on Udemy.

•Instructor: KGP Talkie | Laxmi Kant
•Field: Development
•Teaching Style: Practical, project-based learning (as described in course curriculum)

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

Agentic AI - Private Agentic RAG with LangGraph and Ollama is a development course offered on Udemy by instructor KGP Talkie | Laxmi Kant, spanning 15h 30m of on-demand content. It holds a 4.6/5 rating from over 2,515 enrolled students.

Through CourseSpeak, you can access this course with a 90% discount coupon. The coupon was last verified on February 13, 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 (4.6/5) and enrollment numbers (2,515 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 February 2026. For individual student reviews, visit the course page directly.

4.6
2,515 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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