AI and Data in Business
Retrieval-Augmented Generation and Enterprise Knowledge Systems
Retrieval-Augmented Generation and Enterprise Knowledge Systems helps organizations move from promising demonstrations to reliable, governed business use. Participants examine knowledge use-case architecture, document ingestion and chunking, and retrieval and reranking before producing a defensible solution design and evaluation plan.
Overview
Practical learning for workplace transfer.
The course is designed around the decisions practitioners actually face in Retrieval-Augmented Generation and Enterprise Knowledge Systems. Its progression—from knowledge use-case architecture through grounding access and evaluation—uses architecture choices, evidence-based evaluation, and an applied solution review. The final enterprise RAG design lab requires participants to justify recommendations, test assumptions, and set practical next steps.
Objectives
- Explain the role, scope, and business significance of knowledge use-case architecture in helping organizations move from promising demonstrations to reliable, governed business use.
- Diagnose document ingestion and chunking through architecture choices, evidence-based evaluation, and an applied solution review and prioritize the most material gaps.
- Design an approach to retrieval and reranking with the roles, safeguards, dependencies, and evidence needed to produce a defensible solution design and evaluation plan.
- Evaluate grounding access and evaluation using measures and failure scenarios appropriate to architecture choices, evidence-based evaluation, and an applied solution review.
- Complete the enterprise RAG design lab and translate its findings into owned actions leading toward a defensible solution design and evaluation plan.
Target audience
- AI, data, analytics, and digital-product leaders
- Data scientists, engineers, architects, and business analysts
- Product, automation, knowledge, and transformation teams
- Risk, assurance, and operational owners of AI-enabled services
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: knowledge use-case architecture
Establish the vocabulary, boundaries, stakeholders, and decision context for knowledge use-case architecture.
Separate established requirements and reliable evidence from untested assumptions about knowledge use-case architecture.
Map knowledge use-case architecture to the organization’s current responsibilities, dependencies, and constraints.
Module 2: document ingestion and chunking
Diagnose the current state of document ingestion and chunking using a structured evaluation lab.
Compare alternative methods and select an approach suited to risk, maturity, and scale.
Document requirements, owners, decision criteria, and exceptions for document ingestion and chunking.
Module 3: retrieval and reranking
Design the workflow, safeguards, and handoffs required for retrieval and reranking.
Test normal, failure, and edge-case scenarios before operational adoption.
Review the design for security, quality, accessibility, sustainability, or assurance implications as relevant.
Module 4: grounding access and evaluation
Define meaningful measures, evidence, review cadence, and escalation thresholds for grounding access and evaluation.
Investigate performance gaps and separate root causes from symptoms.
Plan corrective action, controlled change, and accountable follow-through.
Module 5: Applied Retrieval-Augmented Generation and Enterprise Knowledge Systems Workshop
Complete a evaluation lab that integrates the course decisions around enterprise RAG design lab.
Defend recommendations against a realistic stakeholder challenge or scenario.
Produce a prioritized workplace action plan with owners, dependencies, and review points.
Materials provided
- Course workbook and subject reference guide
- Applied scenarios, worksheets, and decision templates
- Implementation checklist or roadmap canvas
- 4D Certificate of Completion
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
For Retrieval-Augmented Generation and Enterprise Knowledge Systems, 4D configures the scenarios, evidence, and final deliverable—a defensible solution design and evaluation plan—around the client’s operating reality. The facilitator challenges participants’ decisions and leaves the team with reviewed work products, not only presentation notes. Third-party certification, regulatory approval, and guaranteed compliance are never implied.
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