A Practical Introduction to AI in Business Training Course

Module 1: Panorama of the AI Revolution – What You Need to Know About Artificial Intelligence (3h)

• Introduction to artificial intelligence: what AI is and why it is crucial for modern organizations
• Overview of global AI trends: how AI is transforming economic sectors, the labor market, and management
• What can AI do today? The most interesting, useful, and best AI tools
• AI tools and models for creating multimedia (DaLL-E, Midjourney, Sora, Runway, ElevenLabs, Udio)
• AI solution ecosystem for business – tool aggregators and specialized tools
• No-code process automation platforms (Make, Zapier) – discussion of capabilities

Module 2: AI Technology Fundamentals – From Theory to Practical Application (1h)

• Accessible introduction to AI technology – machine learning, neural networks, and large language models (LLMs)
• How do LLMs work? Natural language processing (NLP) and next-token prediction
• The significance of NLP in modern service economies.
• Comparison of ChatGPT and other large language models (Claude, Google Gemini, MS Copilot, DeepSeek, Grok) – capabilities, differences, and applications
• Key AI limitations (hallucinations, biases, incomplete knowledge) and ways to address them

Module 3: Practical Workshops – 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, and the emotional layer
• Generating and editing business content with AI
• Creating marketing materials
• Market research, competitor analysis, and prospecting
• Automating the preparation of commercial offers
• Reporting, data analysis, and data visualization
• Strategic planning, brainstorming, and supporting creative processes

Module 4: Effective AI Collaboration – Techniques and Best Practices in Prompt Engineering (3h)

• Introduction to prompt engineering: how to create effective instructions for AI-based tools
• Key prompt engineering techniques - one-shot, few-shot, chain of thought, tree of thought, decomposition, reflective prompts, meta-prompts
• Advanced procedural prompts for completing complex tasks
• Advanced ChatGPT tools – reasoning models, DeepResearch, Canvas
• Managing large context windows, planning conversation flows
• Working with your own files, creating a contextual knowledge base
• Reporting, analysis, and data visualization using AI

Module 5: Practical Workshops - Creating Your Own AI Assistant (2.5h)

• Defining problems to be solved with AI assistants, based on organizational context
• Participants work on creating a prototype of a personal AI assistant for selected applications in their work
• Presentation and evaluation of developed solutions

Module 6: AI Safety - How to Use Artificial Intelligence Responsibly and Legally? (1.5h)

• How does artificial intelligence use our data?
• Privacy policies of AI system providers
• Complying with GDPR requirements in the context of working with AI
• AI Act – key provisions and regulatory requirements for AI in the European Union
• Intellectual property rights in the context of AI-generated content – current regulations and potential risks

Module 7: Practical Aspects of AI Implementation in Organizations (1h)

• Change management in the era of AI, key elements of implementing AI solutions in an organization
• Building an AI culture, identifying harmful behaviors, and fostering appropriate attitudes towards AI
• Group discussion: planning the implementation of AI tools in an organization
• Course summary, Q&A session