Generative AI in the daily work of a Business Analyst
Course Description
Overview
This instructor-led, live course (online) is aimed at beginner, intermediate, and advanced professionals who want to learn how to use large language models to overcome creative blocks, organize chaotic workshop data, and automate repetitive documentation tasks. In the era of digital transformation, Generative AI (GenAI) is becoming a crucial "co-pilot" in analytical tasks. This course emphasizes not only the technology itself but, above all, its practical implementation within the Business Analysis Life Cycle. The course methodology is based on the "human-in-the-loop" approach, teaching how to maintain a critical attitude towards outputs and ensure the highest quality of delivered analytical materials supported by AI.
By the end of this course, participants will be able to:
- Understand the real capabilities and limitations of GenAI models (e.g., hallucinations, context windows).
- Use AI as an advanced tool supporting thought and analytical processes.
- Scientifically create precise requirements structures and technical documentation with the help of AI.
- Speed up conceptual processes, from generating hypotheses to drafting documentation.
- Consciously evaluate the quality and substantive correctness of results generated by AI.
- Gain knowledge on the safe and ethical use of AI tools in the context of corporate data.
Book the course
- Format: Online
- Language: PL (course conducted in Polish)
- Type: Public course with a guaranteed date (entire groups and individuals can join)
- Date: 2026-12-10
- Duration: 2 days (14h)
Net price per participant. The course can be customized to your needs.
Course Format
- Interactive lecture and discussion.
- Lots of exercises and practice.
- Hands-on implementation in a live-lab environment.
Requirements
- Professional experience in a position related to data analysis, reporting, or supporting business processes.
- Technical skills: Knowledge of MS Excel (lookup functions, pivot tables, basic charting).
- Industry knowledge: Basic understanding of Key Performance Indicators (KPIs) in the business area and knowledge of the data life cycle in an organization.
Target Audience
- Business and systems analysts.
- Product owners and managers.
- Business consultants.
- Requirements engineering specialists.
Fundamentals and Applications of Gen AI
Introduction to Generative AI
- What Gen AI is and how it works
- Language models and their limitations
- The role of humans in AI-supported work
Gen AI for the Business Analyst
- Supporting problem analysis
- Organizing information
- Drafting documents and reports
Practical Prompting
- How to formulate effective prompts
- Context, goals, and constraints
- Iterative refinement of results
Supporting Business Analysis
- Defining business problems
- Formulating hypotheses
- Scenario analysis
AI-Supported Analytical Documentation
- Business requirements
- Process descriptions
- Workshop notes and summaries
Integrating AI into Daily Workflow
Gen AI as a Thinking Aid, Not a Replacement
- Critical evaluation of AI results
- Verification and validation of content
- Avoiding mindless automation
AI in Stakeholder Communication
- Preparing messages and updates
- Simplifying complex content
- Tailoring messages to different audiences
Risks and Responsibility
- Data privacy and confidentiality
- Responsibility for AI-generated content
- Ethical considerations
Creating Your Own AI BA Workflow
- Practical use cases
- Integration with product tools
- Team best practices
Frequently Asked Questions (FAQ)
Will the Generative AI in the Daily Work of a Business Analyst course I am interested in definitely take place?
The presented course has the status: GUARANTEED.
It depends on the status of the selected course:
- If the date is marked as GUARANTEED: Yes, 100%. The course will take place exactly on the designated date and time, regardless of attendance. Even if you are the only person on the list, the course will be delivered at no extra charge.
- If the date is WITHOUT GUARANTEE (standard date): The start of the course depends on gathering a minimum number of participants. Once the group is formed, you will receive final confirmation. If attendance is too low, we will offer you an alternative date (often one that is already guaranteed) well in advance.
We do not have enough employees for a private training. Is a public course a good choice?
Definitely! Public courses were created exactly to enable the development of single employees or small, 2-3 person teams. You only pay for your people's participation, and we join them with a group from other organizations. You gain knowledge within an optimal budget.
What happens if no one else but me registers for the Generative AI in the Daily Work of a Business Analyst course?
This is the best possible situation for you! The course will still take place, and you will participate in a 'one-on-one' training with our trainer. You will pay the standard price for a public course ticket, but you will receive the full, undivided attention of the instructor.
Do I need programming skills to attend this course?
No. The course focuses on working with language models (GenAI) through advanced prompts and business analysis, rather than writing programming code. Only knowledge of analytical processes and basic MS Excel is required.
What specific GenAI tools will we use during the live lab?
During the practical part, participants will work with market-leading interfaces of large language models (LLMs), such as ChatGPT from OpenAI (especially the model with advanced reasoning and data analysis capabilities), and will also gain an overview of tools like Claude or Gemini to know how to optimally choose artificial intelligence for the specifics of a given project.
Does the course cover the security of data fed into AI?
Yes. Due to the crucial importance of corporate data confidentiality, the agenda includes a separate block dedicated to privacy, responsibility for generated content, and secure practices (so-called Enterprise AI) that help avoid leaks of sensitive information.
How will I learn to structure notes from client workshops?
During the course, you will learn contextual prompt engineering. This will allow you to instantly transform disorganized notes and "chaotic data" from meetings or transcripts into ready, precise business requirement documentation while retaining full substantive control.
No budget? Get funding!
A program that allows you to easily and quickly obtain funds for employee training.
Public courses
Individuals or groups of employees from different organizations register for public courses.
- Knowledge exchange and networking with professionals from your industry.
- Interactive, live classes. Not just theory, but above all exercises and consultations.
- Flexible online format. You join from anywhere.
Need Help?
Reach out to learn more about our team and the kinds of tailored solutions we can offer your organization.
Get in Touchwroclaw@nobleprog.pl or +48 (22) 103 3718