A Practical Introduction to AI in Business Training Course

DAY ONE Module 1: The AI Revolution Panorama – Key Insights into Artificial Intelligence (3h)

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

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

• An accessible introduction to AI technology – machine learning, neural networks, and large language models (LLM)
• How does LLLM work? Natural language processing (NLP) and next token prediction
• The importance of NLP in modern service economies
• Comparison of ChatGPT and other large language models (Claude, Google Gemini, MS Copilot, DeepSeek, Grok) – capabilities, differences, applications
• Main AI limitations (hallucinations, biases, incomplete knowledge) and how to address them

Module 3: Practical Workshops – First Steps with ChatGPT (4h)

• Overview of the ChatGPT interface and basic functionalities
• Protecting privacy while working with ChatGPT – data controls and memory settings
• Creating effective prompts – instructions, context, persona, emotional layer
• Generating and editing business content with AI assistance
• Creating marketing materials
• Market research, competitive analysis, prospecting
• Automating the preparation of commercial offers
• Reporting, data analysis, and data visualization
• Strategic planning, brainstorming, supporting creative processes

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

• Introduction to prompt engineering: how to create effective commands for AI-based tools
• Key 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 – understanding models, DeepResearch, Canvas
• Managing large context windows, planning conversation flows
• Working with your own files, creating a contextual knowledge base
• Reporting, analyzing, and visualizing data using AI

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

• Defining problems to be solved using AI assistants, based on the 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 – Using Artificial Intelligence Responsibly and Legally (1.5h)

• How artificial intelligence uses 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 for 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)

• Managing change in the AI era, key elements of implementing AI solutions in an organization
• Building an AI culture, identifying harmful attitudes, and building appropriate attitudes towards AI
• Group discussion: planning the implementation of AI tools in the organization
• Summary of the training, Q&A session