Prompt Engineering in Practice

 

Course Description

About the Course

In just 4 hours, you will master the art of communicating with AI tools like ChatGPT and other language models (LLMs). This hands-on workshop will show you how to design prompts that deliver precise, creative, and business-ready results. From basic structures to advanced strategies, you will learn how to save time, boost productivity, and turn AI into your daily assistant.

Course Objective

Through interactive exercises, real-world business examples, and practical tips, you will complete the course with a ready set of prompts tailored to your work. Whether you work in marketing, sales, customer service, or management—this course will give you the skills to use AI more wisely, not harder.

Book the Course

  • Format: Remote
  • Language: Polish
  • Type: Open, guaranteed training
  • Date: 13.12.2025
  • Duration: 4 hours
  • Trainer: Aleksandra Siluch – Czubaszek

BOOK - 500 PLN 

Net price per participant. Guaranteed training requires one participant.

Benefits for Participants

  • Understand how language models (LLMs) work and collaborate with them effectively
  • Learn to construct prompts that yield precise and valuable results
  • Discover methods to control the style and tone of AI responses
  • Develop your own set of prompts tailored to your business goals
  • Gain practical tools that increase your productivity and streamline daily work with AI

Target Group

  • Specialists
  • Managers
  • Marketing department employees
  • Sales department employees
  • Customer service department employees
  • Business development department employees

Course Program

Block 1 – Introduction to Prompt Engineering

  • How large language models (LLMs) “think”
  • Why prompt engineering is crucial for the quality of results
  • Types of prompts: instructional, contextual, perspective-based
  • Good and bad practices – live examples

Exercise: comparing results of weak and strong prompts

Block 2 – Techniques for Creating Effective Prompts

  • Structure of a good prompt: role, context, task, response format
  • “Chain of thought” and step-by-step reasoning
  • Zero-shot vs. few-shot prompting
  • Controlling the style and tone of responses

Exercise: rewrite a prompt to achieve different response styles

Block 3 – Advanced Strategies

  • Iterative improvement (improvement loop)
  • Prompts for analysis, content generation, and problem-solving
  • Introduction to prompt templates and automation
  • Limitations and boundaries of AI models

Exercise: teamwork on optimizing prompts for a specific goal

Block 4 – Business Applications of Prompt Engineering

  • Real-world implementation examples in SMEs
  • Prompts for marketing, sales, customer service, and data analysis
  • Creating your own prompt library

Exercise: each participant creates 2–3 prompts tailored to their role

Block 5 – Summary and Q&A Session

  • Key principles of effective prompt creation
  • How to further develop skills (tools, sources, communities)
  • Open Q&A session
  • Mini case study: prompt engineering as a tool for increasing productivity

Final task: participants create a complete prompt solving a real problem.

Offer of open guaranteed training shown as icons in screws.

Why Guaranteed Training?

  • Guaranteed implementation. The training will take place regardless of the number of participants.
  • Exchange of knowledge and experience with specialists from other industries.
  • Interactive, live sessions. Not just theory, but also practical exercises and discussions.
  • Flexible remote format. Join from anywhere.
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