Prompt Engineering – The Art of Conversing with AI in Everyday Work
A practical workshop for beginners that teaches how to formulate effective prompts for AI in office and operational work, how to check responses, and how to use AI safely when working with documents, emails, and analyses.
This course presents prompt engineering not as a technical topic, but as a practical professional skill: clearly assigning tasks to AI, refining expectations, improving weak responses, and verifying facts. The program addresses the real needs of office and operational employees who want to use AI for writing, summarizing, organizing information, working with documents, and preparing communications, but without the risk of losing confidentiality and without blindly copying mistakes. The course stands out for its emphasis on comparisons of “bad prompt vs good prompt,” ready-made templates for everyday work, and a checklist of “when not to use AI.” This emphasis is consistent with current market observations: employees are often more ready to use AI than management assumes, and companies need practical training based on tasks and safe-use principles. McKinsey reports that employees declare a higher level of actual use of generative AI than leaders estimate, and the report emphasizes the need for training tailored to specific roles. BCG, in turn, indicates that AI can increase productivity and expand the range of tasks performed by knowledge workers, but value appears when a person knows how to assign a task well and evaluate the result. At the same time, NIST and the U.S. Copyright Office emphasize the importance of risk management, privacy, information quality, and copyright when using generative AI.
What you will learn
- Explains what prompt engineering is in practice and why the quality of a prompt affects the quality of AI responses.
- Formulates clear prompts for typical office tasks: writing, summarizing, organizing information, and preparing communications.
- Recognizes the difference between a weak, average, and very good prompt using full examples.
- Improves AI responses by clarifying the goal, audience, format, quality criteria, and constraints.
- Uses AI when working with documents, notes, procedures, and long-form content without losing context.
- Applies basic fact-checking and can identify when an AI response requires additional verification.
- Protects privacy and data confidentiality when working with AI and knows how to limit the risk of over-disclosing information.
- Understands the basic copyright implications of creating and modifying content with AI.
- Applies the “when not to use AI” checklist in tasks with a high risk of error, confidentiality issues, or responsibility.
- Builds a personal set of ready-made AI conversation templates for everyday work.
Prerequisites
Basic computer skills, email use, and word processing. No technical knowledge or experience with AI tools is required. Participants should be ready to work with simple examples: emails, notes, instructions, tables, and text documents.
Course syllabus
- Why learn how to talk to AI at office work at all
- Bad prompt, average prompt, good prompt – a full comparison using a customer email example
- Five elements of a good prompt: purpose, context, audience, format, and quality criteria
- How to Ask AI for a Better Answer Without Starting from Scratch
- Quiz: identify why this AI answer is weak
- How to turn a short request into a precise prompt for writing an email
- A summary that actually helps – comparing a weak and a good prompt for a long text
- Working with documents: how to ask AI to analyze a policy, procedure, or offer without losing the meaning
- How to ask AI for a table, a list of actions, or a communication plan
- Workshop: from meeting notes to a clear summary and task list
- Quiz: choose the better version of the command for working on a document
- Why a Correct-Sounding Answer Can Be Wrong
- Simple fact-checking in 5 steps for the average user
- When AI helps, and when it’s better not to use it – a practical decision checklist
- Comparison: a convincing but risky response vs a cautious and useful response
- Quiz: can this answer be safely forwarded
- Privacy and confidentiality: what not to paste into AI and how to anonymize content safely
- Copyright in Practice: What You Can Use, Modify, and Publish
- How to Create Your Own Set of Safe Templates for Everyday Work
- Final quiz: safe and effective conversation with AI at work
FAQ
For office and operational employees, administrative specialists, customer service, marketing, HR, and anyone who wants to use AI in everyday tasks without technical jargon. The course focuses on practice: how to assign tasks clearly, refine expectations, and improve AI responses.
You will learn how to create effective prompts for writing, summarizing, organizing information, working with documents, and preparing communications. You will also learn how to ask follow-up questions, how to improve weak results, and how to check the reliability of responses before using them at work.
No. This course presents prompt engineering as a professional competency, not a topic for programmers. What matters is the ability to formulate clear instructions, assess the quality of responses, and use AI tools safely in the everyday work environment.
Because AI is quickly becoming a daily work tool. According to McKinsey research, employees report a faster pace of generative AI adoption than management assumes, and 34% of surveyed employees expected that within a year they would use gen AI for more than 30% of their work tasks. This shows that the advantage no longer comes from simply “having access to AI,” but from knowing how to use it wisely and effectively.
Yes. This is one of the key elements of the program. You will learn how to use AI without revealing sensitive information, how to work with documents carefully, and how to distinguish helpful support from risky, uncritical copying of content.
Yes. The course shows how to recognize weak responses, how to refine a prompt to get a better result, and how to verify facts. This makes AI a support in work rather than a source of costly mistakes.
Instead of focusing on theory or technical definitions, the course teaches a concrete professional skill: conducting an effective conversation with AI in real tasks. It responds to the needs of people who want to work faster with text and information while still maintaining control, quality, and safety. This is especially important today, when according to the Stanford AI Index 2025, business is clearly accelerating its investments in and use of AI, and the market increasingly rewards practical competencies, not just declarative knowledge of tools.
- 4 hours
- Beginner
- Certificate on completion
- Access immediately after purchase
- Lifetime access and updates
30-day money-back guarantee