Online training course

Building Custom GPTs and AI Agents

This is the second course in the LCPS "AI at Work" curriculum. It assumes you have completed Mastering Prompt Engineering — or that you can already wr
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Overview

Take a recurring task from your own department as the starting point. Building Custom GPTs and AI Agents explores how to shape an assistant around that task and judge whether its output meets the brief. The emphasis is on purposeful creation that has a place in real work. A research request or an internal support need provides a concrete reason to learn. Participants explore configuration and organisational knowledge, then consider how testing reveals what still needs refinement before wider use.

Why this Training Matters for your Organisation
Repeatedly explaining the same requirements to an AI tool can make its usefulness depend on the person operating it. An assistant designed for a specific purpose offers an opportunity to make those requirements more explicit. For a business, the useful question is whether a proposed assistant earns its place in a workflow. This learning encourages staff to assess that opportunity and examine the limitations, so development begins with a defined need and a way to evaluate the result.
Who Should Attend
Best suited to colleagues who know a business process and want to explore an AI solution. Prior prompt-engineering knowledge is expected, whether gained through Mastering Prompt Engineering or equivalent experience.
  • Process owners and employees responsible for recurring operational work.
  • Customer support leads and teams managing internal knowledge.
  • Digital project staff and colleagues developing AI use cases.

Certification, CPD, and Records

Completion is recognised with 3 CPD points under a CPD Certified course. Once the assessment is passed, the digital certificate is provided that day and can be added to the participant's professional learning record.

Course Content and Learning Outcomes

The curriculum gives participants a route through design and evaluation. Areas of study include:

  • The foundations of generative AI and large language models. Distinguish the purposes of custom GPTs and AI agents.
  • Configuring assistants for particular tasks and applying prompt engineering. Incorporate business documents and other knowledge sources.
  • Developing agents to support workflows and identifying worthwhile applications. Assess how a proposed solution fits the work it is intended to support.
  • Testing outputs and refining the user experience. Examine privacy and security alongside the legal and ethical considerations of deployment.

Duration and Delivery

The learning takes approximately 2 to 3 hours and is delivered through online material with full audio voiceover. It can be scheduled as a focused development session for employees exploring practical AI applications. The program can also be modified as for its title and content to student requirements.

Assessment and Completion

A final set of 20 multiple-choice questions checks understanding of the material. Every answer must be correct for a pass. Results are generated automatically on submission; repeated attempts are permitted without a further assessment fee.

Team and Company Bookings

Bring the person who understands the task together with the colleagues who will use the output. A group booking can support a project discussion in which both perspectives inform the brief.
Enrol an Individual / Book for your Team
  • Book a place for the colleague ready to turn a defined business need into an AI design brief.
  • Plan a team session around an application you want to explore and evaluate together.
  • £ 10 Instant online access
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