self-paced

Building Reliable AI Agents

Building Reliable AI Agents — 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
£149
Level
Advanced

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
Prior experience with workplace AI tools is recommended. Have an approved tool available so you can practise.
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 “Tools And Function Calling” and apply it to a real task at work.
  • Complete “Monitoring And Evaluation” and apply it to a real task at work.
Duration & level
5 hours · Advanced
  • Self-paced lessons
  • Credential

Certificate

Building Reliable AI Agents Certificate

Awarded on successful completion of all required course steps.

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

    Tools And Function Calling

    Learn how agents use tools and function calling to move from conversation to action. You will be able to design reliable tool schemas, decide when a model should call a tool, and build verification steps that reduce business risk.

  4. Step 4 · Lesson

    Monitoring And Evaluation

    Learn how to monitor AI agents in production and evaluate whether they are achieving business goals safely, reliably and cost-effectively. You will be able to define agent metrics, inspect traces, run offline and online evaluations, and create improvement loops for governed agent workflows.

  5. Step 5 · Lesson

    Multi Agent Coordination

    Learn how to design multi-agent workflows where specialised agents collaborate without losing control, context or accountability. You will be able to choose coordination patterns, define hand-offs, manage shared state and apply practical safeguards for business-grade agent systems.