How to stay in-demand when AI is taking over more and more tasks of a business analyst?
Companies are cutting costs, downsizing teams, and replacing certain roles with GenAI. There’s a real risk of being left out of business. But you can apply the same approaches in your own work — not only to remain a valuable specialist, but also to reduce the time spent on routine tasks.
You’re likely already familiar with GenAI. Now it’s time to turn it into a reliable assistant in your business analysis practice.
The practical course “Applied AI for Business Analysts” will be a valuable tool for your professional growth, if you're ready to stay ahead of the curve and become someone who has truly mastered the capabilities of AI to improve the efficiency of your work.
The course is designed for:
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Business analysts who want to automate routine tasks and free up time for more meaningful work.
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Professionals involved in digital transformation projects who need to understand the risks, ethical considerations, and strategies for implementing AI.
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Those who have already tried working with AI tools (ChatGPT, Gemini, etc.) and want to systematize and deepen their knowledge, master prompt engineering, and learn how to build their own AI assistants.
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Project managers and team leaders who combine analytical responsibilities and aim to use AI to improve team efficiency.
During the course, you will learn practical techniques for automating your work with AI and begin applying them as part of your daily tasks. You’ll learn how to adapt AI to your specific goals and project needs, avoid common mistakes, and turn it from a potential threat into a reliable assistant.
Training course structure "Applied AI for Business Analysts"
10-15
participants per group
8 hours
of lectures and hands-on practice
2
homework assignments
Instructor
Viktoria Barashka
Business Analyst, Product Owner, Associate Consultant at EPAM Systems.
5+ years as Business Analyst/Product Owner
Mentor
AI Ambassador. In recent years, I’ve been focused on testing and implementing AI tools, driving digital transformation, and automating business processes.
Course cost "Applied AI for Business Analysts"
Individuals:
6,000 - 7,000 UAH
when paying before March 21, 2026 – 6,000 UAH /$150
when paying after March 21, 2026 – 7,000 UAH /$180
Legal entities:
7,000 - 8,000 UAH
when paying on March 21, 2026 – 7,000 UAH /$180
when paying after March 21, 2026 – 8,000 UAH /$210
Course dates "Applied AI for Business Analysts"
April 14 - 23, 2026, Tuesday and Thursday
19:00 - 21:00
Session 0: Principles of Safe AI Use
Format: Lecture
Date & Time: Recording
Topics:
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Global risks of AI usage
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Regulatory principles and values in AI development
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Risks for companies and professionals:
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Financial
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Technical
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Legal
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Reputational
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Risk management strategies
Session 1: AI in SDLC. Planning AI Adoption
Format: Lecture + Practice
Date & Time: April 14, 2026, 19:00–21:00
Topics:
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AI in the Software Development Life Cycle (SDLC)
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SDLC stages and integration points for AI
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Opportunities for using AI in business analysis
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AI Adoption
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Examples at the company and individual level
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Preparation and execution stages: from planning to evaluation
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Best practices for AI adoption in teams
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Practice: Selecting priority use cases for AI adoption
Session 2: Prompt Engineering and Communication with AI
Format: Lecture + Practice
Date & Time: April 16, 2026, 19:00–21:00
Topics:
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Formats and approaches to communicating with AI
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Prompt engineering:
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Core principles
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Frameworks
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Advanced strategies
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Practice: Reviewing common mistakes; Applying strategies to improve interaction quality
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Tools for prompt generation and optimization
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Prompt management cycle
Session 3: System Settings and Building an AI Assistant
Format: Lecture + Practice
Date & Time: April 21, 2026, 19:00–21:00
Topics:
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Prompt parameters and their impact on results
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System vs. user prompts: differences and use cases
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Comparing AI assistants and AI agents
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Practice:
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Overview of tools for building AI assistants
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Configuring and testing your own assistant
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Session 4: Use Case and Tool Deep Dive
Format: Lecture + Practice
Date & Time: April 23, 2026, 19:00–21:00
Topics:
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Practice: Solving student-specific case studies with end-to-end AI techniques
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Case study examples:
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AI-assistant for requirement auditing
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Exploring AI tools for multi-source data analysis
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Automating presentation prep and visual reporting
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Raiffeisen Bank
Business/System Analyst
Прошла комплексный тренинг по бизнес-анализу (ВАВОK 3.0) '"Business Analysis Essentialls (Theory+Practice)" Дениса Гобова и очень довольна результатом. Особенность курса - большое количество практических занятий в мини-группах, индивидуальный подход лектора к участникам, очень качественная подача материала, много практических примеров от лектора. Спасибо Денису за отличный курс и прекрасную подачу материала!
Questions and answers
How to pay for participation?
- Payment is made through a bank; payment details and a contract template will be sent to you after registration.
What will happen if I miss a class?
- This is highly undesirable, but we record all classes and provide access to the recording.
What language is the training in?
- The working language of the training is English. The language of presentations is English.
Will I receive a certificate?
- Yes, you will receive a certificate from Art of Business Analysis confirming that you have completed the training.
Who will conduct classes/check homework?
– Viktoria Barashka, author of this training