Generative AI + Prompt Engineering
Generative AI + Prompt Engineering helps working professionals understand how AI works, write better prompts, apply AI to real workplace tasks, use advanced prompting techniques, avoid common risks, and build a reusable prompt library they can use immediately.
8-10 hours
Foundation
17
Across 5 modules
80%
Certificate threshold
What you will learn
Explain what generative AI is and how large language models behave in everyday language.
Write stronger prompts using task, context, format, constraints, roles, tone, and examples.
Use iterative prompting, step-by-step reasoning, and few-shot examples to improve output quality.
Apply AI responsibly to writing, research, coding support, analysis, and decision-making tasks.
Build a personal prompt library and pass the final assessment to receive a verified certificate.
Sample lesson
Anatomy of a prompt
20 minutes - Module 02
A strong prompt is not just a question. It combines a clear task, useful context, the output format you need, and constraints that protect quality.
Workplace example
Instead of asking "write an email", a manager gives the audience, purpose, tone, length, key facts, and review constraints. The output becomes usable much faster.
Modules and lessons
The course is paced for working professionals: each module builds a real AI capability and closes with practical takeaways.
What is Generative AI?
Understand the AI landscape, how large language models work, and what AI can and cannot do in practical work.
3 lessons
What is Generative AI?
Understand the AI landscape, how large language models work, and what AI can and cannot do in practical work.
Prompt Engineering Fundamentals
Build strong prompts using task, context, format, constraints, roles, tone, and output structure.
4 lessons
Prompt Engineering Fundamentals
Build strong prompts using task, context, format, constraints, roles, tone, and output structure.
Advanced Prompting Techniques
Use advanced prompting techniques such as step-by-step reasoning, few-shot examples, and iterative refinement.
3 lessons
Advanced Prompting Techniques
Use advanced prompting techniques such as step-by-step reasoning, few-shot examples, and iterative refinement.
Real-World Applications
Apply AI to writing, research, coding support, data analysis, and decision-making workflows.
4 lessons
Real-World Applications
Apply AI to writing, research, coding support, data analysis, and decision-making workflows.
Responsible Use & What's Next
Use AI responsibly, build a repeatable prompt habit, and complete a personal prompt-library capstone.
3 lessons
Responsible Use & What's Next
Use AI responsibly, build a repeatable prompt habit, and complete a personal prompt-library capstone.
YAA
Your Added Advantage - A product of Closing GAP
Certificate of Completion
This certifies that
Avery Morgan
has successfully completed Generative AI + Prompt Engineering and met the YAA pass requirements.
Issued
May 1, 2026
Certificate number
YAA-2026-000001
Verification
yaa-2026-000001-avery-morgan
Certificate-ready from the start.
Learners who pass the quiz receive downloadable proof with a public verification URL, certificate number, issue date, and validity status.
See verification