Practical Introduction to AI in Business
Basic Information
Course Description
This training teaches how to use AI in everyday work—from content generation, through analysis, to process automation. Participants will learn prompt engineering, build their own AI assistants, and practice data analysis, reporting, and implementing AI solutions while considering security and legal regulations.
Who is this training for?
- Managers and business leaders who want to understand how to use AI to improve processes and decision-making
- Specialists and office staff who want to learn practical use of AI tools (e.g. ChatGPT, automation tools, content creation tools)
- HR, marketing, sales, and analytics professionals, as the program emphasizes content generation, data analysis, prospecting, and automation
- People responsible for implementing new technologies in a company—the training also covers legal and organizational aspects (GDPR, AI Act, change management)
Book the Course
- Format: Online
- Language: Polish
- Type: Public, guaranteed
- Date: 03-04.11.2025
- Duration: 2 days (7h/day)
Net price per participant. Guaranteed trainings require at least one participant.
Training Benefits
- Gain comprehensive knowledge about the possibilities of AI in business
- Learn how to use AI tools in daily work
- Understand how to implement AI safely, legally, and responsibly in an organization
Join and discover how AI can genuinely support your professional growth and the growth of your company.
Over two intensive days you will get to know the most important AI tools, learn how to use them in everyday work, and find out how to implement them safely and responsibly in an organization. It is an opportunity to gain skills that will increase your efficiency, help improve business processes, and give you a competitive advantage on the market.
Day One
Module 1: AI Revolution Overview – What You Need to Know About Artificial Intelligence (3h)
- Introduction to AI: what it is and why it is key for modern organizations
- Global AI trends: how AI is changing industries, labor markets, and management
- What can AI do today? The most interesting, useful, and powerful AI tools
- AI tools and models for multimedia creation (DaLL-E, Midjourney, Sora, Runway, ElevenLabs, Udio)
- AI solution ecosystem for business – tool aggregators and specialist tools
- No-code process automation platforms (Make, Zapier) – overview of possibilities
Module 2: Fundamentals of AI Technology – From Theory to Practical Use (1h)
- Accessible introduction to AI technologies – machine learning, neural networks, and large language models (LLMs)
- How does an LLM work? Natural Language Processing (NLP) and next-token prediction
- The importance of NLP in modern service economies
- Comparison of ChatGPT and other LLMs (Claude, Google Gemini, MS Copilot, DeepSeek, Grok) – capabilities, differences, applications
- Main limitations of AI (hallucinations, bias, incomplete knowledge) and how to address them
Module 3: Practical Workshop – First Steps with ChatGPT (4h)
- Overview of the ChatGPT interface and basic functionalities
- Privacy protection when working with ChatGPT – data controls and memory settings
- Creating effective prompts – instructions, context, persona, emotional tone
- Generating and editing business content with AI
- Creating marketing materials
- Market research, competitor analysis, prospecting
- Automating preparation of sales offers
- Reporting, data analysis, and data visualization
- Strategic planning, brainstorming, and creative process support
Day Two
Module 4: Effective AI Collaboration – Prompt Engineering Techniques and Best Practices (3h)
- Introduction to prompt engineering: how to create effective instructions for AI tools
- Main prompt engineering techniques – one-shot, few-shot, chain of thought, tree of thought, decomposition, reflective prompts, metaprompts
- Advanced procedural prompts for complex tasks
- Advanced ChatGPT tools – reasoning models, DeepResearch, Canvas
- Managing large context windows, conversation flow planning
- Working with your own files, building a contextual knowledge base
- Reporting, analysis, and visualization with AI
Module 5: Practical Workshop – Creating Your Own AI Assistant (2.5h)
- Defining problems to solve with AI assistants based on organizational context
- Participants create a prototype of a personal AI assistant for chosen use cases in their work
- Presentation and evaluation of developed solutions
Module 6: AI Security – How to Use Artificial Intelligence Responsibly and Legally (1.5h)
- How does AI use our data?
- Privacy policies of AI system providers
- GDPR compliance when working with AI
- The AI Act – main provisions and regulatory requirements in the EU
- Intellectual property law in the context of AI-generated content – current regulations and potential risks
Module 7: Practical Aspects of Implementing AI in an Organization (1h)
- Change management in the AI era, key elements of implementing AI solutions in organizations
- Building an AI culture, identifying harmful and promoting constructive attitudes towards AI
- Group discussion: planning AI tool implementation in an organization
- Training summary, Q&A session
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