AI & Data

Training: Prompt Engineering

The Prompt Engineering training is a practical course that teaches you how to design precise prompts for AI models such as ChatGPT to fully leverage their potential in work automation, data analysis, and creative content production.

Duration
3h
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Who it's for

Ideal for teams that…

1 Professionals seeking to boost efficiency with AI models without deep programming knowledge
2 Marketers, copywriters, data analysts, and managers looking for automation tools for daily tasks
3 Developers and data engineers interested in practical generative AI applications
4 Project leaders and team managers implementing AI technologies in organizations, as well as those responsible for data security
5 Creative professionals and technology enthusiasts eager to master effective communication with AI
Outcomes after the program

Hands-on AI and data analytics workshops — built around your team's real cases.

✓

How to design effective prompts tailored to various use cases and AI models

✓

Techniques for optimizing and testing prompts to obtain accurate and valuable responses

✓

How to integrate AI into business processes while addressing security and ethical considerations

✓

Practical skills in leading projects based on prompt engineering, increasing productivity and innovation at work

Program · 6 modules

What we actually do

M01
Day 1: Fundamentals and Effective Communication with AI · Module 1: Introduction to AI and Prompt Engineering
  • · Fundamentals of language models and their capabilities
  • · Differences between generative AI and classical ML
  • · Key rules for creating effective prompts and avoiding common pitfalls
  • · Overview of alternative tools based on large language models
M02
Day 1: Fundamentals and Effective Communication with AI · Module 2: Creating and Optimizing Prompts in Practice
  • · Key concepts: prompt, model hallucinations, limitations and pitfalls when working with AI
  • · Techniques for designing prompts for different scenarios (text generation, data analysis, etc.)
  • · Practical workshops on formulating, testing, and refining prompts for higher-quality AI responses
  • · Iterative refinement and structured approaches to boost accuracy
M03
Day 2: Advanced Methods and Prompt Engineering Applications · Module 3: Advanced Prompting Techniques and Personalization
  • · Building longer contexts, query sequences, and controlling the style of responses
  • · Creating complex prompts: context, style control, few-shot learning, chain-of-thought
  • · Using prompts in automation, marketing, customer support, and other business areas
  • · Case studies: content automation (emails, analytics, summaries), specialized prompts for business and recruitment use cases
M04
Day 2: Advanced Methods and Prompt Engineering Applications · Module 4: AI Integration, Risk Management, Ethics & Security
  • · Practical aspects of AI adoption: monitoring response quality, managing errors and undesired outputs
  • · Risk management: identifying model errors/hallucinations and mitigating unwanted outcomes
  • · Best practices for implementing AI in teams, including data security strategies and business communication impacts
  • · Ethical considerations and security in working with generative AI models
M05
Day 3: Practical Workshops and Application Projects · Module 5: Real-World Projects Using Prompt Engineering
  • · Team-based work on real business cases: analysis, design, and testing of prompts
  • · Presenting results, discussing best practices, and identifying potential improvements
  • · Optimizing team productivity with AI: integrating prompting into software craftsmanship and workflow efficiency
M06
Day 3: Practical Workshops and Application Projects · Module 6: Trends, Tools, and Continued Skill Development
  • · Review of the latest prompt engineering support tools (prompt analyzers, prompt generators, etc.)
  • · Discussion on the future of generative AI and directions for professional development
Every module is adapted to your stack and context. The above is a starting point — not a fixed agenda.
How we work

From brief to retro in 30 days.

01

Brief & diagnosis

A call with the team lead + a short survey for participants. We define goals, gap and context.

02

Program customization

We adapt modules, case studies and code examples to your stack. Approval in 5 days.

03

Workshop

Trainer-led sessions, hands-on, code review. Mentor available between sessions too.

04

Retro + report

Outcome report for the team and lead. 30 days of consulting included.

Inquiry

Send a brief. We'll reply within 1 day.

After a short brief we'll prepare a program and a quote. No obligations — it's just a starting point.

✓Quote within 48h of the brief
✓First session within 30 days
✓Pilot before the full decision
✓VAT invoice, payment in instalments possible

Ochrona antyspamowa (Cloudflare Turnstile) zostanie aktywowana po wpięciu klucza.

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