Description
Advanced RAG Techniques Course. This course is a comprehensive and practical program for AI engineers and developers who want to develop their Retrieval-Augmented Generation (RAG) implementations beyond the basic state and create accurate, optimized, and production-ready systems. This course is designed as a practical and expert guide for AI engineers, machine learning specialists, data scientists, and software developers who want to enhance their retrieval-based content generation applications. Basic RAG systems often face challenges such as poor document retrieval, irrelevant context rendering, incomplete responses, difficult processing of complex files, and high operational costs. This course presents innovative solutions such as Semantic Chunking, Hybrid Search, Query Rewriting, HyDE, Self-RAG, Corrective RAG (CRAG), and GraphRAG architectures to solve these challenges. During this training program, learners will be introduced to all stages of developing advanced RAG systems in a practical way. This process starts from basic concepts and architecture and ends with advanced document fragmentation techniques, re-ranking algorithms with Cross Encoders, multimodal retrieval of complex PDF files and tables. Also, significant parts of the course are dedicated to quality assessment, cost optimization, observability, tracing and telemetry so that participants can implement reliable, scalable and ready-to-use systems for real and commercial environments.
What you will learn
- Design and build advanced RAG pipelines using Semantic Chunking techniques, retrieval strategies, and optimized search methods
- Improving the quality of information retrieval by using Hybrid Search, Keyword Search, Cross Encoders, and advanced ranking methods
- Increasing retrieval accuracy through multiple query generation, Query Rewriting, Query Expansion, and HyDE techniques
- Developing applications using Self-RAG, Corrective RAG (CRAG), and GraphRAG architectures for reliable data retrieval
- Building Multimodal RAG systems for processing complex PDF files, tables, embeddings, and multimodal data
- Evaluate and optimize RAG programs in terms of quality, cost, and production performance using Observability, Tracing, and Telemetry capabilities
This course is suitable for people who:
- AI and Machine Learning engineers who want to design, develop, and optimize advanced Generative AI and RAG applications
- Data Scientists and Data Engineers who work with retrieval systems, unstructured data, and knowledge bases
- Software and AI Developers who are building intelligent search, enterprise knowledge systems, and AI assistants
- Generative AI and NLP specialists who want to move beyond basic RAG implementations
- Cloud and AI solution architects interested in designing scalable, production-ready architectures
- Researchers and experts investigating the topics of Self-RAG, Corrective RAG, GraphRAG, and multimodal retrieval
- Students and enthusiasts who intend to enter the fields of Artificial Intelligence, Data Science, and NLP
Advanced RAG Techniques Course Details
- Publisher: Udemy
- Instructor: Start-Tech Academy
- Training level: Beginner to advanced
- Training duration: 4 hours and 43 minutes
- Number of lessons: 40
Course topics
Advanced RAG Techniques Course Prerequisites
- No prior AI or technical experience is required — just a computer, internet connection, and a willingness to learn advanced RAG techniques.
Course images
Sample course video
Installation Guide
After Extract, view with your favorite player.
Subtitles: None
Quality: 1080p
Download link
Rapidgator link
File(s) password: www.downloadly.ir
File size
2.1 GB