GPT Creation: Build your own AI Assistent

This course is designed to teach professionals how to design, build, and refine their own specialized AI assistants (Custom GPTs or Agents). Building GPTs is a 100% practical skill that is immensely valuable for individuals and teams to work smarter and more efficiently. You will learn how to configure AI to take over repetitive, structured, or time-consuming tasks while maintaining the human aspects of creativity and judgment.

What You Will Learn

• Understanding What a Custom GPT Is: You will learn exactly what a custom GPT entails and how it differs from general AI usage.

• Identifying Automation Opportunities: You will analyze your workflows to spot tasks suitable for GPT support that will increase your productivity.

• Defining Goal and Scope: You will set a clear objective for what your GPT should and should not do, including defining a successful output.

• Developing Prototype GPT Solutions: You will build and test a functional GPT prototype using ChatGPT's configuration tools (paid subscription required).

• Iterating and Improving: You will collect and process feedback to incrementally refine the GPT's behavior and output.

Who Is This Training For?

This training is for professionals who want to design, build, and refine a custom GPT for practical, systematic, or creative tasks. The course is suitable for everyone, as no coding skills are required.

Our Teaching Method

You will not only learn the theory, but you will go through the complete process, receiving a clear framework that you can reuse for future projects. The method is entirely skill-oriented and involves building, configuring, and testing a GPT prototype, culminating in a portfolio-style report.

Modules

• Introduction to Build Your Own GPT: This chapter introduces the student to the world of GPT creation, explains the scope and goal of the module, and motivates why this is a valuable skill. You will get an overview of the benefits of a custom GPT (such as consistency and efficiency) and how to connect with the learning community for support.

• Introduction to GPTs & Workflow Analysis: You build basic knowledge of what a GPT is and how it differs from generic AI. The focus is on analyzing your own workflows to identify tasks that are repetitive or structured and where a custom GPT can increase productivity.

• Defining Objectives & Outputs: You learn the essential step of defining the objectives, scope, and expected outcome of your GPT. This includes establishing clear success criteria to test the GPT and know when it 'works'.

• Designing & Prototyping Your GPT: In this hands-on chapter, you apply prompt engineering techniques to define your GPT's behavior. You build a functional GPT prototype using ChatGPT's configuration tools and document the initial setup.

• Testing, Iterating & Presenting: The final lesson focuses on testing the prototype, collecting and processing feedback to refine the GPT. You learn how to maintain a change log and summarize the entire development journey in a clear portfolio report.