2026 Deep Agent - Multi Agent RAG with Gemini and Langchain — 90% Off Coupon

Langchain v1 AI Agents, Deep Agents, Multi Agent RAG, Deep RAG, Advanced RAG, Gemini AI, Google Gemini 3, Qdrant, Docker

4.7 1,551 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: 2026 Deep Agent - Multi Agent RAG with Gemini and Langchain
•Provider: Udemy (listed via CourseSpeak)
•Instructor: KGP Talkie | Laxmi Kant
•Coupon Verified On: February 13, 2026
•Difficulty Level: Advanced
•Category: Development
•Subcategory: LangChain
•Duration: 18h of on-demand video
•Language: English
•Access: Lifetime Access · Mobile & TV compatible
•Certificate: Certificate of completion included
•Top Learning Outcomes: Build production-ready AI agents using Google Gemini, LangChain v1, MCP, and modern agent design patterns. · Design and implement multimodal RAG pipelines using Docling, Gemini, Qdrant vector database, and hybrid search. · Process PDFs, tables, and images at scale using Docling, Docker, and structured data extraction techniques.
•Prerequisites: Basic Python knowledge is required. Familiarity with APIs, Docker, or RAG concepts is helpful but not mandatory.
•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 production-ready AI agents using Google Gemini, LangChain v1, MCP, and modern agent design patterns. .
✓Design and implement multimodal RAG pipelines using Docling, Gemini, Qdrant vector database, and hybrid search. .
✓Process PDFs, tables, and images at scale using Docling, Docker, and structured data extraction techniques. .
✓Implement hybrid search, re-ranking, memory, MCP tools, and cost-optimized context caching in real AI systems .
✓Create autonomous multi-agent research systems with orchestrator, researcher, and editor agents for finance use cases.

Course Requirements & Prerequisites

Background knowledge or tools recommended before starting this course:

•Basic Python knowledge is required. Familiarity with APIs, Docker, or RAG concepts is helpful but not mandatory.

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 2026 Deep Agent - Multi Agent RAG with Gemini and Langchain Coupon Worth It?

2026 Deep Agent - Multi Agent RAG with Gemini and Langchain is a development course offered on Udemy by instructor KGP Talkie | Laxmi Kant, spanning 18h of on-demand content. It holds a 4.7/5 rating from over 1,551 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 (4.7/5) and enrollment numbers (1,551 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.

4.7
1,551 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.

Frequently Asked Questions

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