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 artificial intelligence is transforming economic sectors, the labor market, and management.
• What can AI currently do? 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) – overview 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 does 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 applications.
• Main limitations of AI (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 emotional layer.
• Generating and editing business content with the help of 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 commands for AI-based tools.
• Main prompt engineering techniques – one-shot, few-shot, chain-of-thought, tree-of-thought, decomposition, reflective prompts, and metaprompts.
• Advanced procedural prompts for complex tasks.
• Advanced ChatGPT tools – reasoning models, DeepResearch, Canvas.
• Managing large context windows and planning conversation flows.
• Working with personal files and 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 – main provisions and regulatory requirements for AI in the European Union.
• Intellectual property law in the context of content created by AI – 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 attitudes and fostering appropriate perspectives toward AI.
• Group discussion: planning the implementation of AI tools in the organization.
• Training summary, Q&A session.