Business Analysis with AI: From Prompt to an Optimized Process

Course code: ITBAAILLM

The IT Business Analyst plays a key role in the implementation of IT innovations. In the Czech Republic, there are tens of thousands of analysts and many other IT professionals who perform analysis as part of their job responsibilities.

The latest AI technologies have the potential to significantly change the way various professions operate. This trend will not bypass the field of IT Business Analysis. For experts and newcomers who want to remain competitive in the job market, it is essential to understand and use new AI tools. The use of AI increases productivity and efficiency in performing analytical work while also making it easier for beginners to enter this profession. Knowing how to use AI tools in IT business analysis is therefore becoming an essential digital skill for every professional.

360 EUR

436 EUR including VAT

The earliest date from 04.11.2026

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Course dates

Starting date: 04.11.2026

Place : Praha

Type: In-person

Course duration: 1 day

Language: cz/sk

Price without VAT: 360 EUR

Starting date: Upon request

Type: In-person/Virtual

Course duration: 1 day

Language: en/cz

Price without VAT: 375 EUR

	Starting date	Place	Type	Course duration	Language	Price without VAT
	04.11.2026	Praha	In-person	1 day	cz/sk	360 EUR	Register

	Upon request		In-person/Virtual	1 day	en/cz	375 EUR	Register
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Course Description

A one-day hands-on training course that teaches you how to integrate business analytics techniques with AI tools into a functional work process – from BACCM to a finished output ready for handover. Participants work on practical assignments throughout the entire training, not just in a single reserved exercise.

Course outcomes:

Using AI throughout the analytical process – from BACCM through process maps and requests to test scenarios and handoffs
Mastering asking prompts for analysts – the RCTF framework and formulating prompts that AI understands precisely, across tools (Copilot, Gemini, ChatGPT, Claude)
Practical takeaways you can use the very next day – prompts and procedures based on real BA scenarios

Target Audience

- Business analysts who want to incorporate AI into their daily work – from gathering information to creating outputs.
- Also suitable for IT business analysts, business architects, and project and product managers involved in preparing project specifications.

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

Expected knowledge

The training is based on the “try it first” principle – for each task, you’ll first write your own prompt according to the instructions, and only then will you be given a solution to compare it with, which you can try out and modify right away. No extra theory – just hands-on work with AI throughout the entire training.

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