Knowing how to prompt an AI tool is no longer a differentiator — using it to actually deliver your work is.
Business analysts are increasingly expected to produce more, faster: dashboards in hours rather than days, working prototypes rather than static specifications, and automations that remove routine tasks from the team's backlog entirely. Those who can do this are shaping how their companies adopt AI. Those who can't risk watching their responsibilities migrate to colleagues — or to the tools themselves.
This practical course is the next step after "Applied AI for Business Analysts." It moves beyond prompts and assistants into the areas where AI creates the most visible business value: data analysis and reporting, modeling and prototyping, and end-to-end process automation on no-code platforms.
By the end of the course, you will have built a dashboard, a working prototype, and a real automation of a process you choose yourself — and you will know how to repeat these results in your day-to-day work.
The course is designed for:
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Business analysts who already use AI for documentation and analysis and now want to deliver tangible artifacts — reports, dashboards, prototypes, and automations.
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Analysts working with data and reporting who want to accelerate analysis, reverse-engineer legacy reports, and generate dashboard concepts with AI support.
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Product owners and product analysts who need to validate ideas quickly through AI-assisted modeling and rapid prototyping.
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Professionals on digital transformation and automation initiatives who need a practical understanding of no-code platforms and where AI fits into them.
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Team leaders and project managers with analytical responsibilities who want to identify automation opportunities and pilot them without waiting for development capacity.
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Graduates of "Applied AI for Business Analysts" or equivalent, who are ready to go deeper and apply AI to concrete deliverables rather than general tasks.
During the course, you will work on real cases — your own where possible — and leave with reusable approaches for analytics, modeling, and automation. You will learn how to choose the right tool for each task, where to keep a human in the loop, and how to turn AI from a helpful assistant into a production-grade part of your workflow.
Training course structure "Applied AI for BA:Automation, Modeling & Analytics"
15-18
participants per group
12 hours
of lectures and hands-on practice
2
homework assignments
Instructor
Dariia Danovska
Lead Business Analyst / Technical Product Manager. CCBA-certified.
AI Specialist. AI automation expert and strategist.
15+ years of experience in business analysis and product management, working on AI projects since 2019.
Focused on implementing AI solutions for businesses — from discovery and strategy through hands-on delivery of automation, analytics, and AI-driven products. Combines deep analytical craft with practical, production-grade experience, bringing AI into real business processes.
Course cost "Applied AI for BA:Automation, Modeling & Analytics"
Individuals:
7,500 - 8,500 UAH
when paying before May 11, 2026 – 7,500 UAH /$225
when paying after May 11, 2026 – 8,500 UAH /$270
Legal entities:
8,500 - 9,500 UAH
when paying on May 11, 2026 – 8,500 UAH /$270
when paying after May 11, 2026 – 9,500 UAH /$315
Course dates "Applied AI for BA: Automation, Modeling & Analytics"
May 25 - June 10, 2026, Monday and Wednesday
19:00 - 21:00
Session 1: AI in Data Analysis — Working with Raw Data
Format: Lecture and Practice
Topics:
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AI as a data analysis partner for the business analyst
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Types of analytical tasks suitable for AI support
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Strengths, limitations, and quality-control checkpoints
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Working with raw data using AI
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Cleaning, normalizing, and structuring datasets
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Exploratory analysis and pattern detection
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Generating insights and narrative summaries from numbers
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Practice: Using AI to analyze a sample dataset
Session 2: Reports, Dashboards, and Reverse Engineering
Format: Lecture
Topics:
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Reports and dashboards with AI assistance
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Selecting the right visualizations, drafting report structures and executive summaries
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Overview of AI-enabled BI tools (Power BI Copilot, Tableau AI, ChatGPT Data Analyst)
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Reverse engineering with AI
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Reconstructing business logic from legacy reports and spreadsheets
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Turning recovered logic into clean documentation
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Session 3: Modeling with AI — From Text to Diagrams
Format: Lecture + Practice
Topics:
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AI in business and system modeling
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Generating and refining process models (BPMN), use cases, user stories, and data models
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Using AI to validate consistency and detect gaps in models
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From text to diagrams
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Converting descriptions and transcripts into structured diagrams
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Tools overview: Mermaid, PlantUML, Miro AI, Lucidchart AI
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Practice: Building a process model
Session 4: Rapid Prototyping with AI
Format: Lecture + Practice
Topics:
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Rapid prototyping with AI
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Generating wireframes and low-fidelity mockups from requirements
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Producing interactive prototypes with tools such as Uizard, Figma AI
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Quality and traceability
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Keeping models, prototypes, and requirements aligned
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Common pitfalls and how to avoid AI-generated inconsistencies
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Practice: Building a clickable prototype
Session 5: Process Automation — Overview of No-Code Platforms
Format: Lecture
Topics:
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No-code and low-code platforms
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Workflow automation: Zapier, Make, n8n, Power Automate
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AI-native automation: agents, events, triggers etc.
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Designing automations that are safe and maintainable
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Human-in-the-loop checkpoints
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Error handling, logging, and monitoring
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Session 6: Process Automation — Student-Selected Use Case
Format: Lecture + Practice
Topics:
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Working session on a real process chosen by students
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Solution design
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Selecting the appropriate combination of AI + no-code tools
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Review and iteration
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Demo and feedback
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Identifying next steps
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Wrap-up
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Roadmap for continued AI adoption after the course
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Resources, communities, and interesting resources
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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?
– Dariia Danovska, author of this training