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
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Course Title: 2026 Deep Agent - Multi Agent RAG with Gemini and Langchain
Provider: Udemy (Listed via CoursesWyn)
Instructor: KGP Talkie | Laxmi Kant
Coupon Verified On: February 13, 2026
Difficulty Level: All Levels
Category: Development
Subcategory: LangChain
Duration: 18h 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 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.
Price: $9.99 with coupon / Regular Udemy price: $99.99. Applying this coupon saves you $90.00 (90% OFF).
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What You'll Learn
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Requirements
Please review the following prerequisites to ensure you have the necessary tools and foundational knowledge for this training.
Basic Python knowledge is required. Familiarity with APIs, Docker, or RAG concepts is helpful but not mandatory.
About This Course
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- 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
Meet Your Instructor
Academic background and professional track record of the subject matter expert responsible for this curriculum.
KGP Talkie | Laxmi Kant
Verified Architect
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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, 2026 Deep Agent - Multi Agent RAG with Gemini and Langchain 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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