How to stay in demand when AI is taking over more and more business analyst tasks?
Companies are optimizing costs, downsizing, and eliminating individual roles in favor of generative AI. There is a risk of being left behind.
However, you can apply these same approaches to your work to not only remain a highly sought-after professional but also reduce the time spent on routine tasks.
You most likely already know what generative AI is. Now, you can turn it into a fully-fledged assistant for business analysis.
The "Applied AI for Business Analysts" practical course will become a tool for your professional growth, provided you are ready to stay ahead of the curve and become someone who has truly mastered the capabilities of AI to boost their work efficiency.
Who is the "Applied AI for Business Analysts" practical course for?
- Business analysts looking to automate routine work and free up time for higher-value tasks.
- Professionals involved in digital transformation projects who need to understand the risks, ethical aspects, and strategies of AI implementation.
- Those who have already tried working with AI tools (ChatGPT, Gemini, etc.) and want to structure and deepen their knowledge, master prompt engineering, and learn how to create their own AI assistants.
- Project managers and leaders who combine analytical responsibilities and want to leverage AI to boost team efficiency.
In the course, you will acquire practical techniques for automating your work using AI and start implementing them into your daily workflow while still learning. You will learn to adapt AI to your tasks and project goals, avoid common mistakes, and turn it from a potential threat into a reliable assistant.
"Applied AI for Business Analysts" Course Structure
15-18
Человек в группе
9 hours
Lectures and Practices
2
Homework
Course Instructor
Viktoriia Barashko
Business Analyst, Product Owner, Associate Consultant at EPAM Systems.
5+ years of experience as a Business Analyst/Product Owner
Mentor
AI Ambassador. Over the past few years, she has been actively testing and implementing AI tools, driving digital transformation, and automating processes.
"Applied AI for Business Analysts" Course Pricing
Individuals:
6,200 – 7,200 UAH
- Payment by August 15, 2026: 6,200 UAH / $150
- Payment after August 15, 2026: 7,200 UAH / $180
Legal Entities (Corporate):
7,200 – 8,200 UAH
- Payment by August 15, 2026: 7,200 UAH / $180
- Payment after August 15, 2026: 8,200 UAH / $210
"Applied AI for Business Analysts" Course Dates
September 15 – 24, 2026, Tuesdays and Thursdays
19:00 – 21:00
Session 0: Principles of Safe AI Use
Format: Lectures
Date and time: recordings
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:
- Financial
- Technical
- Legal
- Reputational -
Risk management strategies
Session 1: AI in the SDLC. AI Implementation Plan
Format: Lecture + Practice
Date and time: September 15, 2026, 19:00–21:00
Topics:
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AI in the SDLC
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SDLC stages and AI integration points
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Opportunities for using AI in business analysis
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Preparing for AI adoption
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Examples of implementation at the company and individual specialist levels
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Preparation and implementation stages: from planning to evaluating results
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Best practices for introducing AI to a team
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Practice: selecting priority use cases for automation
Session 2: Prompt Engineering and Interaction with AI
Format: Lecture + Practice
Date and time: September 17, 2026, 19:00–21:00
Topics:
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Formats and approaches for communicating with AI
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Prompt engineering:
- Basic principles
- Frameworks
- Advanced strategies -
Practice:
- Analysis of common mistakes
- Applying strategies to improve interaction quality -
Tools for prompt generation and optimization
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Prompt management lifecycle
Session 3: System Settings and Creating an AI Assistant
Format: Lecture + Practice
Date and time: September 22, 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 application
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Comparing AI Assistants and AI Agents
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Practice:
- Overview of tools for creating an AI assistant
- Configuring and testing your own assistant
Session 4: Case Studies and Tool Review
Format: Workshop
Date and time: September 24, 2026, 19:00–21:00
Topics:
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Practice: Solving student-selected use cases using all learned techniques.
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Example use cases:
- Creating an assistant for requirements auditing
- Overview of AI tools for analyzing multiple data sources
- Automating presentation preparation
Kateryna Stepantsova
Raiffeisen Bank
Business/System Analyst
I completed the comprehensive business analysis training (BABOK 3.0) "Business Analysis Essentials (Theory+Practice)" by Denys Gobov and am very satisfied with the results. The key features of the course are the large number of practical sessions in mini-groups, the lecturer's individual approach to the participants, highly professional delivery of the material, and numerous real-world examples shared by the instructor. Thank you, Denys, for a great course and an excellent presentation of the material!
FAQ
How do I pay for the course?
- Payment is made via bank transfer; the bank details and invoice will be sent to you after registration.
What happens if I miss a session?
- While missing a session is highly discouraged, we record all lessons and provide access to the recordings.
What is the language of instruction?
- The working language of instruction is English. The presentation slides are also in English.
Will I receive a certificate?
- Yes, you will receive a certificate from Art of Business Analysis confirming that you completed the training.
Who will lead the sessions and grade the homework?
- Viktoriia Barashko, the author of this course.