3-Day Instructor-Led Programme
Practical training on building Retrieval-Augmented Generation pipelines used in modern AI applications. Learn chunking, hybrid search, query rewriting, and reranking techniques used in production RAG systems.
Duration
3 Days
Price
$1,999
Retrieval-Augmented Generation (RAG) has become a key architecture pattern for developing reliable generative AI applications that use external knowledge sources. This bootcamp introduces engineers to the core techniques required to design and implement effective RAG pipelines.
Participants learn how to structure knowledge sources, create document chunking strategies, and build hybrid search pipelines combining semantic and keyword retrieval. The course also explores query rewriting and reranking techniques that improve the relevance and quality of retrieved information.
Through practical exercises, learners build a functional RAG workflow capable of retrieving information from a knowledge base and generating grounded responses suitable for real-world AI applications.
Participants design and implement a working RAG pipeline including document ingestion, chunking, and hybrid retrieval.
Industry mentors guide learners through production-ready patterns used in enterprise knowledge retrieval systems.
Develop practical generative AI engineering skills required to build AI assistants, knowledge search tools, and intelligent enterprise support systems.
Understand the architecture of retrieval-augmented generation systems
Build document ingestion and chunking pipelines
Implement hybrid search using keyword and semantic retrieval
Apply query rewriting techniques to improve search quality
Improve retrieval relevance using reranking strategies
Design production-ready RAG pipelines for enterprise AI applications
Basic programming knowledge (Python recommended)
Familiarity with APIs or backend development
Basic understanding of generative AI or large language models helpful
Organized by professional domains with comprehensive coverage
Master these in-demand skills through hands-on practice
A clear view of the roles this programme supports, what typically comes next, and where learners progress over time
Choose the learning format that works best for you and your team
Instructor-Led Training
Join live instructor-led sessions from anywhere. Interactive, engaging, and flexible.
Price per person
Group enrolments and early planning options available.
All prices are exclusive of VAT where applicable. Group enrolments and custom packages available on request.
Not everyone learns best in a group. If you want focused guidance, faster clarity, and confidence you can use on the job, our 1-to-1 Fast-Track Training gives you private, mentor-led support tailored to your experience and goals.
"Many learners choose 1-to-1 when they want understanding, not memorisation."
Everything you need to know about the certification exams
You will receive an Xcademia certificate of completion based on participation and successful completion of labs and scenario simulations.
Credential
On successful completion of Retrieval Augmented Generation Bootcamp, learners receive an Xcademia Certificate of Completion. This standalone certificate is issued directly by Xcademia and is aligned with globally recognised frameworks and best practices.
Everything you need to know about this course
It is an AI architecture that combines document retrieval with generative models to produce responses based on real knowledge sources.
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