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
4.7 ★★★★★1,551 studentsCreated by KGP Talkie | Laxmi KantPublished/Updated on: 🌐 English

Key Takeaways

Course overview with structured fields: Title, Provider, Instructor, Updated Date, Difficulty, Focus, Audience, Outcomes and Coupon Code.

•Course Title: 2026 Deep Agent - Multi Agent RAG with Gemini and Langchain
•Provider: Udemy (via CourseSpeak listing)
•Instructor: KGP Talkie | Laxmi Kant
•Coupon Verified on: February 13, 2026
•Difficulty Level: Advanced
•Course Focus: development fundamentals to advanced concepts
•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.
•Target Audience: Beginners to advanced programmers
•Course Type: Self Paced Online Course. Lifetime Access
•Coupon: Click on REDEEM COUPON to Enroll and apply discount code

What you'll learn

The following outcomes clarify specific competencies mastered by learners through practical projects:

✓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.

Requirements

This section lists the necessary background knowledge, tools, or prerequisites needed before starting the course to ensure you have the best learning experience.

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

Course Description

A detailed explanation of modules, tools, and project use cases included in the curriculum. from this comprehensive langchain courses.

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About the Instructor

Learn from experienced professionals in the field.

•Instructor: KGP Talkie | Laxmi Kant
•Expertise: development education and applied programming expertise
•Experience: 12+ years developing large-scale systems in LangChain
•Teaching Style: Practical focus with real-world examples and hands-on projects
•Institution: Professional Academy - Leading provider of quality development education

Review - 2026 Deep Agent - Multi Agent RAG with Gemini and Langchain course on Udemy worth it?

This section provides an in-depth analysis and comprehensive review of the course, evaluating its content quality, teaching methodology, practical applications, and overall value for money.

Complete Review: 2026 Deep Agent - Multi Agent RAG with Gemini and Langchain by KGP Talkie | Laxmi Kant

2026 Deep Agent - Multi Agent RAG with Gemini and Langchain is a comprehensive online course designed to help students master Development skills. Created by KGP Talkie | Laxmi Kant, this course provides practical knowledge and hands-on experience that learners can immediately apply in professional settings.

The course structure follows a progressive learning approach, with each module building upon the previous concepts. Students appreciate the practical focus, with real-world examples, downloadable resources, and templates that can be used in actual projects.

Available on Udemy with lifetime access, this course offers excellent value for anyone looking to advance their skills in LangChain and take their career to the next level.

Our Recommendation

Course recommendation: 2026 Deep Agent - Multi Agent RAG with Gemini and Langchain excels in development development based on verified student reviews and curriculum analysis.

Student Feedback

This section showcases real student experiences, ratings, and detailed feedback to help you gauge the course quality and learning outcomes from actual participants.

4.7
★★★★★
Course Rating
Based on 1,551 student reviews as of February 2026
Rating Breakdown:
5 stars:
75% (1,163)
4 stars:
15% (233)
3 stars:
5% (78)
2 stars:
5% (78)
1 star:
5% (78)
SJ
Sarah Johnson
★★★★★2 weeks ago

This course completely transformed my understanding of the subject! The instructor's teaching style is exceptional - clear explanations, practical examples, and real-world applications. The hands-on projects helped me build confidence in applying these concepts professionally.

MT
Michael Torres
★★★★★3 weeks ago

Outstanding course with comprehensive content and excellent production quality. The step-by-step approach made complex topics accessible. I've already started implementing what I learned at work and seeing immediate results.

DK
David Kim
★★★★★1 month ago

Best investment I've made in my career development! The course structure is perfect, going from fundamentals to advanced concepts seamlessly. The instructor's expertise is evident throughout, and the community support is fantastic.

Frequently Asked Questions

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2026 Deep Agent - Multi Agent RAG with Gemini and Langchain
$9.99$99.9990% Off
🎫 Coupon
10FE***
REDEEM COUPON
30-Day Money-Back Guarantee
What the Course Includes:
Duration18h on-demand video
Device CompatibilityMobile & TV
Access TypeLifetime Access
CertificationCompletion Certificate