Prompting is less about clever wording and more about giving the AI a useful brief. This course teaches employees how to write prompts with context, role, task, constraints, examples, and output format. Learners practice role-based prompting, few-shot prompting, iteration, format control, mistake spotting, and prompt libraries. The aim is simple: get more reliable first drafts, fewer vague answers, and a faster path from rough question to useful output.
What you'll learn:
- Write prompts that give AI tools enough context to produce useful work
- Use roles, examples, constraints, and output formats with more control
- Improve weak results through clear iteration rather than starting over
- Create a personal prompt library for recurring work tasks
Prompt Engineering for Productivity
A plain-English guide to what a prompt is and why it changes the quality of AI output, with workplace examples and a warning about blaming the tool when the prompt never explained the job.
What employees need to know about the parts of a strong prompt, why it matters, and how to avoid writing long prompts that still miss the information the AI needs.
How to use assigning useful perspectives such as editor, analyst, customer support lead, trainer, or risk reviewer while keeping an eye on using roles as decoration instead of connecting them to the task.
A practical look at how to get AI to reason through work in a usable way: where it helps, what to check, and how to avoid requesting long reasoning that is hard to verify and easy to overtrust.
What employees need to know about the difference between zero-shot and few-shot prompting, why it matters, and how to avoid giving examples that accidentally teach the AI the wrong pattern.
What employees need to know about how to refine prompts through iteration, why it matters, and how to avoid starting over every time instead of diagnosing what went wrong.
A plain-English guide to common prompting mistakes that waste time, with workplace examples and a warning about accepting generic output because the task was too loosely framed.
A plain-English guide to advanced prompting strategies for complex work, with workplace examples and a warning about making a prompt system so complex that no one can maintain it.
What employees need to know about how to build a personal prompt library, why it matters, and how to avoid keeping a pile of old prompts that no longer match the work.
About the teacher
Vikram Chalana
Vikram Chalana is the co-founder and CEO of Pictory. He is an engineer and entrepreneur who previously co-founded Winshuttle, an enterprise software company that grew to 300 employees globally.
At Pictory, Vikram works on making video creation easier for trainers, educators, marketers and business teams who want to turn existing content into clear, useful videos with AI.
