Description
Deep Agent – Multi Agent RAG with Gemini and Langchain is a course on designing and implementing advanced AI systems with Gemini and LangChain published by Udemy Online Academy. This course explores the design and implementation of advanced AI systems built around multiple cooperating agents powered by Gemini models and the LangChain framework. The course explores modern generational retrieval-augmented architectures in which agents coordinate tasks such as reasoning, research, memory management, and decision-making to solve complex, real-world problems. Learners build intelligent and scalable agent workflows, integrate structured and unstructured data sources, and deploy robust multi-agent systems that go beyond single-agent interactions to deliver deeper context awareness, accuracy, and independence.
You’ll start with the basics of AI agents and slowly move towards building advanced autonomous multi-agent systems used for deep financial research. The course is designed in a progressive manner so that beginners can follow along, while experienced developers continue to learn advanced production-level patterns. The focus of this course is not just theory. You’ll build everything step-by-step using Python notebooks, real APIs, real documentation, and real data pipelines.
What you will learn in Deep Agent – Multi Agent RAG with Gemini and Langchain:
- Build production-ready AI agents using Google Gemini, LangChain v1, MCP, and modern agent design patterns.
- Design and implement multi-modal RAG pipelines using Docling, Gemini, Qdrant vector database, and hybrid search.
- Process PDFs, tables, and images at scale using Docling, Docker, and structured data mining techniques.
- Implement hybrid search, re-ranking, memory, MCP tools, and cost-optimized context storage in real-world AI systems
- Build autonomous multi-agent research systems with coordinator, researcher, and editor agents for financial use cases.
- And…
Course specifications
Publisher: Udemy
Instructors: KGP Talkie | Laxmi Kant
Language: English
Level: Introductory to Advanced
Number of Lessons: 166
Duration: 18 hours and 24 minutes
Course topics
Deep Agent – Multi Agent RAG with Gemini and Langchain Prerequisites
Basic Python knowledge is required. Familiarity with APIs, Docker, or RAG concepts is helpful but not mandatory.
Pictures
Deep Agent – Multi Agent RAG with Gemini and Langchain introduction video
Installation guide
After Extract, watch with your favorite Player.
English subtitle
Quality: 1080p
Downloadly link
Rapidgator link
File password (s): www.downloadly.ir
Size
13.8 GB
