2026 Deep Agent - Multi Agent RAG with Gemini and Langchain
Langchain v1 AI Agents, Deep Agents, Multi Agent RAG, Deep RAG, Advanced RAG, Gemini AI, Google Gemini 3, Qdrant, Docker
What you'll learn in 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.
Udemy Coupon Requirements
- Basic Python knowledge is required. Familiarity with APIs, Docker, or RAG concepts is helpful but not mandatory.
About This Udemy Coupon
- A large part of this course focuses on Deep RAG systems for finance.
- You will learn why multimodal RAG is hard, what problems occur with PDFs, tables, images, and long documents, and how to design a reliable deep RAG pipeline.
- You will extract data from financial PDFs using Docling. This includes converting PDFs to markdown, extracting tables with context, tracking page numbers, extracting images, and validating data integrity at scale.
- You will then generate accurate image descriptions using multimodal Gemini models and store those descriptions in markdown so everything can be handled in a single text-based pipeline.
- Next, you will ingest large amounts of multimodal data into Qdrant vector database. You will learn dense search, sparse search, hybrid search, metadata filtering, de-duplication using file hashes, and best practices for chunking and retrieval models.
- On top of that, you will build advanced retrieval pipelines using hybrid search and cross-encoder re-ranking for better answer quality.
- This course is for developers who want to go beyond basic chatbots and build serious AI systems.
- AI engineers working with LLMs
- Backend developers building RAG systems
- Data scientists working with documents and research
- Finance and analytics professionals interested in AI automation
- Anyone who wants to understand how real multi-agent systems are built in production
Course Comparison
Compare this course with other LangChain courses
| Course | Rating | Students | Duration | Price | Action |
|---|---|---|---|---|---|
|
✓
2026 Deep Agent - Multi Agent RAG with Gemini and Langchain Current Course | ⭐ 4.7 | 1,551 | 18h | $9.99 | - |
 Curso Completo: LangChain, LangGraph y Agentes IA con Python Alternative | ⭐ 4.8 | 983 | 7h | $9.99 | View |
 LangChain Framework for Beginners – Build AI Systems + RAG Alternative | ⭐ 4.7 | 1,292 | 6h 30m | $9.99 | View |
 ChatGPT and LangChain: The Complete Developer's Masterclass Alternative | ⭐ 4.6 | 27,083 | 12h | $9.99 | View |
Can't decide? Compare more courses in our Development category →
⚡ Limited Time Offer
Coupon valid until end of March 2026
Don't miss out — grab this Development course before the coupon expires.
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$90.00
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What is 2026 Deep Agent - Multi Agent RAG with Gemini and Langchain?
2026 Deep Agent - Multi Agent RAG with Gemini and Langchain is a 18h online course on Udemy taught by KGP Talkie | Laxmi Kant. It covers LangChain and is designed for learners who want to build production-ready ai agents using google gemini, langchain v1, mcp, and modern agent design patterns. . With 1,551 students enrolled and a 4.7 star rating, it is one of the top-rated courses in LangChain on Udemy. Use the coupon above to access it at 90% OFF ($9.99).
About the Instructor
KGP Talkie | Laxmi Kant
Udemy Instructor · Development Expert
KGP Talkie | Laxmi Kant is an expert instructor on Udemy specializing in Development. Their course "2026 Deep Agent - Multi Agent RAG with Gemini and Langchain" has helped 1,551 students master LangChain with a 4.7 star rating.
Course Information
Platform
Udemy
Instructor
KGP Talkie | Laxmi Kant
Duration
18h
Language
English
Category
Development · LangChain
Rating
Price
Last Updated
February 2026
Related Topics
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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Frequently Asked Questions
Is there a discount for 2026 Deep Agent - Multi Agent RAG with Gemini and Langchain?
Yes! Instead of paying $99.99, you can get 2026 Deep Agent - Multi Agent RAG with Gemini and Langchain for just $9.99 with our verified coupon — saving you $90.00 (90% OFF) today.
How do I apply the coupon code?
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How long is 2026 Deep Agent - Multi Agent RAG with Gemini and Langchain?
2026 Deep Agent - Multi Agent RAG with Gemini and Langchain is approximately 18h long. Udemy gives you lifetime access so you can learn at your own pace and revisit content anytime.
What will I learn in 2026 Deep Agent - Multi Agent RAG with Gemini and Langchain?
In 2026 Deep Agent - Multi Agent RAG with Gemini and Langchain by KGP Talkie | Laxmi Kant, you will learn: 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. . The course covers LangChain with 18h of hands-on content.
What is 2026 Deep Agent - Multi Agent RAG with Gemini and Langchain?
2026 Deep Agent - Multi Agent RAG with Gemini and Langchain is a 18h online course on Udemy taught by KGP Talkie | Laxmi Kant. It covers Development with a 4.7 star rating from 1,551 enrolled students. Use our verified coupon to access it at $9.99 (90% OFF).