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 is AI and why is it crucial for modern organizations
• Overview of global AI trends: How artificial intelligence is changing sectors of the economy, the labor market, and management
• What can AI do right now? The most interesting, useful, and top AI tools
• AI tools and models for creating multimedia (DALL-E, Midjourney, Sora, Runway, ElevenLabs, Udio)
• Ecosystem of AI solutions for business – tool aggregators and specialized tools
• No-code process automation platforms (Make, Zapier) – discussion of capabilities

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

• Accessible introduction to AI technology – machine learning, neural networks, and large language models (LLM)
• How LLMs work? Natural language processing (NLP) and next-token prediction
• The significance of NLP in modern service-based economies.
• Comparison of ChatGPT and other large language models (Claude, Google Gemini, MS Copilot, DeepSeek, Grok) – capabilities, differences, applications
• Main limitations of AI (hallucinations, biases, incomplete knowledge) and ways 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 layer
• Generating and editing business content with AI
• Creating marketing materials
• Market research, competitor analysis, prospecting
• Automating the preparation of commercial offers
• Reporting, data analysis, and data visualization
• Strategic planning, brainstorming, supporting creative processes

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

• Introduction to prompt engineering: How to create effective instructions for AI-based tools
• Main prompt engineering techniques - one-shot, few-shot, chain of thought, tree of thought, decomposition, reflective prompts, metaprompts
• Advanced procedural prompts for solving 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 Workshop – Creating Your Own AI Assistant (2.5h)

• Defining problems to be solved using 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 Security – How to Use Artificial Intelligence Responsibly and Legally? (1.5h)

• How does artificial intelligence use our data?
• Privacy policies of AI system providers
• Compliance with GDPR requirements in the context of working with AI
• AI Act – key provisions and requirements of AI regulation in the European Union
• 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 an organization
• Building an AI culture, identifying harmful behaviors and developing appropriate attitudes toward AI
• Group discussion: Planning the implementation of AI tools in an organization
• Training summary, question and answer session