Course structure
0. Introduction and Overview of AI Tools
- Why AI and why now – what large language models can and cannot actually do
- Overview of tools and when to use which one
- Platforms for individual tools – browser, desktop app, smartphone, integration within company tools
- Basics of configuring and personalizing AI for your own work style
- Cheatsheet: Which AI is best for which type of output
- All examples and procedures are tailored so they can be implemented in all common AI tools (MS Copilot, Google Gemini, ChatGPT, Claude)
- How to Give Tasks That AI Understands
- Why the Quality of the Prompt Matters (Weak vs. Strong Prompts in Action)
- The RCTF Framework: Role – Context – Task – Format
- Action Verbs: How a Single Word Can Change the Entire Output
- Iteration and Refining the Output
2. Business Analysis with AI in Action
In simplified form, in this section we’ll tackle real-life analytical tasks and demonstrate how to effectively use AI and the knowledge we learned in the previous section. We’ll cover a selection of the following topics:
- BACCM from a brief assignment
- BPMN AS-IS/TO-BE process map
- GAP Analysis — Structured Gap Table with Priorities
- Business Rules and Decision Table — Rules Converted to a Decision Table
- Business Requirements and BRD — From a Single Stakeholder Statement to a Complete Document
- Use Case Specifications, Test Scenarios, and Data
- Creating Epics and User Stories from a Project Brief
- Demonstration of AI Use in MS Office Tools
