Description
RAG, MCP, AI Agents: Production-Ready Retrieval Systems. This course teaches participants how to build advanced retrieval systems (RAG) for AI agents to be deployed in real-world operational environments. The course serves as a comprehensive guide to mastering retrieval technology that powers AI applications. In a practical, step-by-step approach, learning begins with the fundamental concepts of vector databases and provides a clear understanding of how to efficiently store, index, and retrieve data. Participants then learn how to choose the most appropriate vector database for their project, including practical guidance for hosting it internally on Weaviate. The course covers building robust RAG implementations in code and automating pipelines using n8n. As the course progresses, more advanced topics such as image-based retrieval, visual comparisons with AI, and deploying a group of Codenavis AI agents that use web-based knowledge are covered. In addition, advanced optimization techniques including query expansion, synonym expansion, prompt caching, index optimization, textual reordering, and multi-signal result reordering are also explored to ensure that the systems built are highly efficient and accurate.
What you will learn
- Implementing end-to-end RAG pipelines in Python.
- Deployment and fine-tuning of vector databases such as Weaviate.
- Using advanced recovery techniques.
- Multi-agent RAG workflow coordination.
- Design custom strategies for re-ranking.
This course is suitable for people who:
- Software developers and engineers.
- Data scientists and ML (machine learning) specialists.
- AI enthusiasts and technical supervisors.
- Product managers and architects.
- Anyone who is curious to educate themselves about future technology.
Course Description RAG, MCP, AI Agents: Production-Ready Retrieval Systems
- Publisher: Udemy
- Instructor: Rushabh Modi
- Training level: Beginner to advanced
- Training duration: 4 hours and 10 minutes
- Number of lessons: 23
Course headings
RAG MCP AI Agents: Production-Ready Retrieval Systems Course Prerequisites
- Basic Python proficiency
- Familiarity with REST APIs and JSON payloads (Optional)
- Comfort with command-line tools (Optional)
- An eagerness to learn by doing
Course images
Sample course video
Installation Guide
After Extract, view with your favorite player.
Subtitles: None
Quality: 720p
Download link
Downloadly
Rapidgator link
File(s) password: www.downloadly.ir
File size
2.6 GB
