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 write effective prompts, iterate on outputs, and use at least one major AI tool confidently in your day-to-day work. Where the first course taught you how to talk to an AI well, this course teaches you how to build one that does a specific job for you, your team, or your clients — without writing a line of code. You will learn how to design, build, test, deploy, and govern custom AI assistants using the features already built into ChatGPT, Claude, Google Gemini, and Perplexity. You will also learn where no-code tooling stops and where genuinely autonomous AI agents begin, so you can read the fast-moving agent landscape critically and know when to ask for developer help.

Overview

By the end of the course, learners will:

• Understand the fundamentals of Artificial Intelligence (AI), Generative AI, Large Language Models (LLMs), and AI Agents.
• Explain the purpose, capabilities, and business applications of Custom GPTs and AI Agents.
• Create and customise GPT-powered assistants for specific tasks and industries.
• Apply effective prompt engineering techniques to improve AI-generated outputs.
• Build AI Agents that can automate workflows, streamline processes, and enhance productivity.
• Integrate knowledge bases, documents, and business information into Custom GPTs.
• Design AI solutions for customer support, content creation, research, education, and business operations.
• Identify opportunities to use AI tools to improve efficiency and decision-making within organisations.
• Understand ethical, legal, privacy, and security considerations when deploying AI solutions.
• Evaluate the strengths and limitations of AI technologies and implement best practices for responsible use.
• Develop practical skills to create, test, and optimise AI-powered assistants for real-world applications.

Accreditation

The CPD Certification Service has accredited all of our courses for conforming to universally accepted Continuing Professional Development (CPD) guidelines.

Learning Aims & Outcome

This can include a variety of tasks, such as:

• Explain the fundamental concepts of Artificial Intelligence (AI), Generative AI, Large Language Models (LLMs), Custom GPTs, and AI Agents.
• Identify the key features, capabilities, and limitations of Custom GPTs and AI-powered systems.
• Create and configure Custom GPTs for specific tasks, industries, and business requirements.
• Apply prompt engineering techniques to generate accurate, relevant, and effective AI outputs.
• Develop AI Agents capable of supporting business processes, customer service, research, content creation, and workflow automation.
• Integrate knowledge sources and organisational information into AI systems to improve performance and relevance.
• Evaluate opportunities for implementing AI solutions to enhance productivity, efficiency, and decision-making.
• Demonstrate an understanding of ethical, legal, privacy, and security considerations when using AI technologies.
• Test, refine, and optimise AI assistants to improve usability, accuracy, and user experience.
• Apply best practices for the responsible deployment and management of AI tools in professional environments.

Duration

Online 2 - 3 Hours

Assessment

The online assessment is taken on completion of the training material. You will be asked 20 multiple choice questions with a pass mark of 100%. The answers are marked automatically so you will instantly know whether you have passed. If you don’t pass don’t worry! You can take the test as many times as you need with no extra charge.