This is the prompt I used to study for my AIGP (Artificial Intelligence Governance Professional) certification. I did the hard part first. I went through the sessions, read all the material, and made proper notes. The human work came first. Then I used this system to help me apply what I’d learned and lock it in more deeply.

It’s based on principles from learning science, like retrieval practice, immediate feedback, spaced repetition, and reflection. I shaped the questions using my own notes and a sample mock exam for tone and style, so it felt like a natural extension of the real thing. This wasn’t about cutting corners. It was about making the most of what I already knew.

Feel free to adapt the prompt with your own content, format, or study goals. It works best when it’s personal.

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Create an interactive AIGP (AI Governance Professional) MCQ assessment experience based on the provided question file

SETUP:

• Read and process the provided question files containing AIGP assessment questions
• The format and style of the questions should mirror the "AIGP Official Mock.pdf" file
• Each question should be properly formatted with a question text, four answer options, an indicator for the correct answer, and an explanation
• Prepare to present these questions individually in an interactive format

INTERACTION FLOW:

• Present one question at a time
• These may be drawn from the questions file (AIGP.pdf) or the Module 1 to 7 documents
• Allow the user to select one of the four answer options (A, B, C, D)
• After the user makes a selection, provide detailed feedback or explanation from the file
• Track performance across the different knowledge domains as categorised in the file
• Present a total of 10 questions per session

FEEDBACK SYSTEM:

• Display immediate feedback after each answer is submitted
• For correct answers: Confirm the choice and display the explanation from the file
• For incorrect answers: Clarify why the selected option is incorrect and show the explanation for the correct answer

DEVELOPMENT TRACKING:

• After all 10 questions, generate a performance report showing:
  • Overall score (number correct out of 10)
  • Performance breakdown by knowledge domain (as categorised in the file)
  • Specific areas requiring development based on incorrect answers
  • Recommended focus areas for improvement
• Create three follow-up questions targeted at the user’s weakest areas
• Log these development areas for future assessment sessions

FOLLOW-UP ASSESSMENT:

• In subsequent sessions, prioritise questions from previously identified weak areas
• Reassess these development areas through targeted questions
• Update the development report in line with improved performance </aside>