| 1 | What is Generative AI? How do Large Language Models (LLMs) work? Probabilistic thinking structure. |
| 2 | Hallucination problem, accuracy control (Fact-Checking), source reliability, and critical thinking. |
| 3 | Finding academic articles, literature review, summarizing, and reference management using AI. |
| 4 | Analysing numerical or textual data with AI, extracting insights, plotting charts, and reporting. |
| 5 | Moving beyond standard models, the concept of needs-based assistants, and usage areas. |
| 6 | Steps to configure a bot specific to one's professional field (Education, Law, Health, etc.) without coding. |
| 7 | Testing the designed assistant, managing the knowledge base, and making fine-tuning adjustments. |
| 8 | MIDTERM EXAM (Online - Multiple Choice) |
| 9 | Methodology of defining professional problems and converting a real-life issue into an AI prompt. |
| 10 | Evaluating options, performing risk analysis, and generating scenarios in strategic decision-making processes. |
| 11 | Using AI in developing new project, product, or service ideas in the professional field. |
| 12 | AI tools for creating workflows, task distribution, time planning, and project tracking. |
| 13 | Professional CV preparation, interview simulations, LinkedIn optimization, and digital identity management. |
| 14 | Future projection, sustainability of AI literacy, and general review. |
