self-paced

Retrieval and Business Knowledge

Retrieval and Business Knowledge — practical automation and agent patterns with governance.

This page is the course itself. Commercial AI training for UK companies is owned by the AI training hub.

Delivered by AI Build

Learning platform: SAVI.education

Certificate issued by SAVI.education

Duration
5 hours
Price
£99
Level
Intermediate

Who this course is for

Who it's for
People whose work sits in Automation and Agents and who want a practical, workplace-focused course rather than a generic overview.
Prerequisites
No specialist background required. A laptop and an approved workplace AI tool will help you practise the exercises.
What you'll be able to do
  • Complete “From One-Off Prompt to Repeatable Workflow” and apply it to a real task at work.
  • Complete “Human Review and Accountability” and apply it to a real task at work.
  • Complete “Retrieval Augmented Generation” and apply it to a real task at work.
  • Complete “Vector Databases And Knowledge Sources” and apply it to a real task at work.
Duration & level
5 hours · Intermediate
  • Self-paced lessons
  • Credential

Course syllabus

Lessons are grouped into clear steps with visual cues, so each course is easier to scan before you start.

Lessons unlock after purchase. Create your account with the same email you paid with — no course code is required — or choose “Already purchased?” above.

  1. Step 1 · Lesson

    From One-Off Prompt to Repeatable Workflow

    Turn useful prompts into reusable, governed workplace workflows.

  2. Step 2 · Lesson

    Human Review and Accountability

    Keep humans accountable for decisions supported by AI outputs.

  3. Step 3 · Lesson

    Retrieval Augmented Generation

    Learn how to design Retrieval-Augmented Generation (RAG) applications that combine language models with trusted business knowledge. You will be able to structure a RAG pipeline, choose retrieval strategies, reduce hallucinations, and evaluate whether retrieved context is good enough for production use.

  4. Step 4 · Lesson

    Vector Databases And Knowledge Sources

    Learn how to design knowledge storage for retrieval-augmented AI applications, including vector database selection, metadata strategy, indexing and source governance. You will be able to connect business knowledge sources to an AI application in a way that improves relevance, traceability and operational control.