AI and Data in Business
Building Retrieval-Augmented Generation Systems
This in-depth course develops directly applicable capability in Building Retrieval-Augmented Generation Systems. It connects RAG Architecture and Use-Case Boundaries, Document Processing and Indexing, and Retrieval and Reranking to the decisions, controls, and activities participants need to perform in their workplace.
Overview
Practical learning for workplace transfer.
This in-depth course develops directly applicable capability in Building Retrieval-Augmented Generation Systems. It connects RAG Architecture and Use-Case Boundaries, Document Processing and Indexing, and Retrieval and Reranking to the decisions, controls, and activities participants need to perform in their workplace. The five-module curriculum progresses toward RAG Evaluation Workshop, using evidence, scenarios, and work products appropriate to the subject.
Objectives
- Analyze rag architecture and use-case boundaries, including retrieval, augmentation, generation, and citation flow.
- Configure or structure document processing and indexing, including parsing, normalization, chunk size, overlap, and metadata.
- Evaluate retrieval and reranking, including dense, sparse, and hybrid search strategies.
- Manage generation, guardrails, and observability, including prompt assembly, grounded answers, and source citation.
- Apply rag evaluation workshop, including build a domain question and reference-answer set.
Target audience
- Professionals responsible for this subject area
- Managers, supervisors, and team leaders
- Analysts, specialists, engineers, or coordinators working with the relevant processes
- Project, implementation, assurance, or improvement team members
- Professionals preparing for broader responsibilities in this field
Program outline
A clear structure for the learning journey.
Program outline
Outline points are grouped in one designed block instead of being treated as separate module cards.
Module 1: RAG Architecture and Use-Case Boundaries
Retrieval, augmentation, generation, and citation flow
When RAG is preferable to fine-tuning or long context
Accuracy, latency, privacy, and cost requirements
Module 2: Document Processing and Indexing
Parsing, normalization, chunk size, overlap, and metadata
Embedding model selection and vector index construction
Access-control metadata and document lifecycle updates
Module 3: Retrieval and Reranking
Dense, sparse, and hybrid search strategies
Query rewriting, filters, rerankers, and top-k calibration
Recall and precision evaluation with representative questions
Module 4: Generation, Guardrails, and Observability
Prompt assembly, grounded answers, and source citation
Injection resistance, content controls, and refusal behavior
Tracing retrieval decisions, token use, latency, and feedback
Module 5: RAG Evaluation Workshop
Build a domain question and reference-answer set
Compare chunking and retrieval configurations
Document failure modes and production acceptance thresholds
Materials provided
- ○ Course-specific presentation slides
- ○ Guided exercises, scenarios, or configured-environment activities appropriate to the subject
- ○ Course-specific worksheets, checklists, or calculation templates
- ○ Applied workplace case materials
- ○ 4D Certificate of Completion issued by 4D Training & Consultancy
- ○ Post-course support for implementation questions
Training Options
Programs can be delivered in-house, online, or in a blended format depending on your team's schedule, location, and learning objectives. When an external certificate or exam is included, certification rules and fees remain under the relevant awarding body's policies, while 4D provides the training and preparation support.
Why choose 4D
4D Training & Consultancy adapts the program to the client’s operating environment. Delivery combines structured explanation with subject-specific analysis, exercises, and implementation decisions so participants can transfer the learning to real responsibilities without implying vendor authorization.
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