A Practical Introduction to AI in Business Training Course

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

• Introduction to artificial intelligence: what is AI and why it is crucial for modern organisations
• Overview of global AI trends: how artificial intelligence is transforming economic sectors, the job 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)
• The ecosystem of AI solutions for business – tool aggregators and specialist tools
• No-code process automation platforms (Make, Zapier) – exploring 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 (LLM)
• How does an LLM 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, and use cases
• Key limitations of AI (hallucinations, biases, incomplete knowledge) and methods 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
• Crafting effective prompts – instructions, context, persona, and emotional layer
• Generating and editing business content with the help of AI
• Creating marketing materials
• Market research, competitive analysis, and prospecting
• Automating the preparation of commercial proposals
• Reporting, data analysis, and data visualisation
• 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 commands 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 complex task execution
• Advanced ChatGPT features – reasoning models, DeepResearch, Canvas
• Managing large context windows and planning conversation flows
• Working with your own files and creating contextual knowledge bases
• Reporting, analysis, and data visualisation using AI

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

• Defining problems to be solved with AI assistants, based on organisational context
• Participants work on creating a prototype of a personal AI assistant for selected applications in their work
• Presentation and evaluation of the 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
• Compliance with GDPR requirements in the context of working with AI
• The 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 Implementing AI in an Organisation (1h)

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