AI Prompt Engineering for Business

What you'll learn

Everything covered in this course, section by section.

How these tools actually work

What a language model is really doing
Why the same question gives different answers
Where AI is reliable and where it is not

Writing prompts that work

Context, task, format: the three-part prompt
Giving examples instead of instructions
Asking for a specific output format
Fixing a prompt that keeps failing

Doing it for a business

Building a prompt library a team can reuse
Keeping company data out of public tools
Checking output before it reaches a customer

Selling the skill

Packaging prompt work as a service
Pricing and scoping an AI project

Tools: AI assistants

ChatGPT, step by step
Claude, step by step

Tools: Documents

Notion, step by step
Google Workspace, step by step

Tools: Communication

Slack, step by step

Tools: Automation

Zapier, step by step

Tools you'll learn

8 tools you will be able to use by the end of this course.

AI assistants

ChatGPT
Claude
Google Gemini
Perplexityresearch

Documents

Notionprompt libraries
Google Workspace

Communication

Slack

Automation

Zapierfirst taste

Interview preparation

48 practice questions based on real interview assessments

Every topic concludes with a short assessment drawn from the situations employers present to candidates. You will be asked what to do when a system fails, which figure to verify first, and how to respond to the customer. These are not revision exercises. They are preparation for the questions that determine whether you are offered the position.

Complete the practical work in each tool and sit every assessment. Candidates who can answer these questions aloud, and explain their reasoning, are the candidates who receive offers.

6 topics, each concluding in an assessment
48 questions in total
Covering all 8 tools taught in this course
Every assessment may be retaken without limit

This course includes

6.3 hours of on-demand video
18 lessons across 8 sections
1 free preview lesson
48 interview practice questions
Full lifetime access
Access on mobile and desktop

Course content

8 sections · 18 lessons · 6hr 20min total length

How these tools actually work3 lessons · 30min

What a language model is really doingPreview10min
Why the same question gives different answers9min
Where AI is reliable and where it is not11min

Writing prompts that work4 lessons · 48min

Context, task, format: the three-part prompt13min
Giving examples instead of instructions12min
Asking for a specific output format11min
Fixing a prompt that keeps failing12min

Doing it for a business3 lessons · 38min

Building a prompt library a team can reuse13min
Keeping company data out of public tools14min
Checking output before it reaches a customer11min

Selling the skill2 lessons · 21min

Packaging prompt work as a service11min
Pricing and scoping an AI project10min

Tools: AI assistants2 lessons · 1hr 25min

ChatGPT, step by step42min
Claude, step by step43min

Tools: Documents2 lessons · 1hr 16min

Notion, step by step44min
Google Workspace, step by step32min

Tools: Communication1 lessons · 39min

Slack, step by step39min

Tools: Automation1 lessons · 43min

Zapier, step by step43min

Requirements

A laptop and a stable internet connection
No coding required
Free accounts on the AI tools are enough to follow along

Description

Businesses bought AI tools and then found the output was generic, wrong, or unsafe to send to a customer. This course teaches you to get work-ready results consistently, and to package that as a service.