Business analysis in IT with AI integration
Course Goal
To acquire practical business analysis skills in IT with the integration of artificial intelligence tools for optimizing processes, working with requirements, and supporting decision-making.
This Course is Designed For
- Beginners who want to enter IT as business analysts
- Professionals from related fields
- Specialists who want to upgrade their qualifications
- Those who want to work at the intersection of analytics and artificial intelligence
- Individuals preparing for professional certifications
Training Format:
- Recorded course
- 20 online sessions of 1.5 hours each + homework assignments
- Practical cases and homework assessment
- Support for participants in a private chat throughout the course
What Will Graduates Gain?
Program
1
- Software Development Life Cycle (SDLC)
- Industry and IT roles overview
- Business analyst roles
2
- Models: waterfall, prototyping, spiral model, V-model, Agile approach.
- Methodologies and frameworks: Scrum, Kanban, Lean, SAFe.
3
- Standards and certifications: BABOK, PMI-PBA, PSPO
- Ethics and quality in business analysis
- Artifacts at each stage of the SDLC
4
- Full stakeholder management cycle
- BA as a facilitator
- How to build effective cooperation
5
- Product life cycle
- Business value and its metrics
- Product vision (Vision document) as a core document
- Understanding end users
- MVP - defining the minimum viable product
6
- Levels (types) and categories of requirements (functional and non-functional)
- Requirements elicitation techniques
- Types of requirement documentation
7
- User Stories and Acceptance Criteria
- Use Cases
- DoR (Definition of Ready)
- DoD (Definition of Done)
- INVEST - investing in high-quality requirements
8
- Requirements life cycle
- Techniques for prioritizing and refining requirements (Backlog Refinement)
- Change log as a change management artifact
- Risk matrix
- Jira and Confluence in BA work
9
- Decomposition and process visualization
- BPMN 2.0
- Basics of UML
10
- Tools: Draw.io, Figma, Canva
- Creating interactive prototypes
- Usability principles
11
- How to write effective prompts
- Using AI to prepare for requirements elicitation
- Generating functional and non-functional requirements with AI
12
- Types of software development, programming languages, and tools
- Software architecture
- Database fundamentals
- APIs and data formats
13
- DevOps culture
- CI/CD and software quality
- How BA collaborates with developers, architects, and DevOps
14
- Diagram creation with AI
- Prioritization with AI assistance
- AI for rapid UI mockup creation
15
- Concept of quality
- Internal and external product quality
- Product quality metrics (KPIs)
- Interaction with QA testers
- Participation in acceptance testing
16
- Requirements and initial documentation finalization
- Work in Confluence, Jira, Notion
17
- Creating diagrams and prototypes
- Preparing presentation materials
- Work in Confluence, Jira, Notion
18
- AI as an assistant throughout the business analysis process
- Principles of AI assistants
- Configuring an AI assistant
- Ethical aspects of AI usage
19
- Basics of effective pitching and presenting a solution
- Working with feedback and comments
- Strong communication strategies
- AI tools for creating presentations
20
- Presenting the work
- Reflection and course retrospective
- Individual development planning
FAQ
1
The program is designed for beginners, specialists in related fields and specialists who want to improve their skills or prepare for certifications. You will gain practical IT business analysis skills with deep integration of artificial intelligence tools for process optimization and requirements work.
2
You will study process modeling (BPMN 2.0, UML), prototyping and working with requirements (User Stories, Use Cases). Special emphasis is placed on the use of AI: prompt engineering, requirements generation, AI diagramming and pitching preparation using modern AI tools.
3
The course is designed for 10 weeks (a total of 30 hours) and consists of 20 online lessons of 1.5 hours in recording format. Training involves homework with verification, analysis of practical cases and constant support of participants in a closed chat.
4
We can fully adapt the program to the company's requests, using relevant corporate cases. Employees will receive long-term access to materials for 6 months, certificates with professional development hours (PDUs) and mentor support for another 1 month after completing the training.
Course
10 weeks
30 hours
Education provides
Maryna Melnyk
Founder, CEO, Lead Trainer, AI Transformation Consultant, Career Therapist
Reviews
Working in the product team, I was constantly faced with the need to engage a business analyst. At some point, I understood: it makes sense to learn this myself and to close tangential issues independently. Training helped me put everything on the shelves and organize the "mess in my head" that was at the beginning. Although my final project — the development of an AI chatbot for a bank — was only an educational concept, I now feel that I have enough practical experience to implement similar tasks in real life. I was most fascinated by modeling, because visualization of processes is incredibly helpful! My personal battle with the "boss" was the topic of CI/CD and team interaction - I had to listen to these lectures several times. But my biggest victory is that I did complete the course from start to finish, despite the crazy workload outside of studies. Now artificial intelligence has become my constant assistant in writing texts and creating macros for Excel. If I could give advice to myself at the beginning, I would say only one thing: "Start earlier!". And for those who doubt, I advise you to take the course in parallel with your current activity - this is the best way to understand what the real essence of this profession is.
I’d been wanting to try something new for a long time and make a change from my routine work with documents. Testing seemed like the most straightforward way to get started in IT. I chose SkillsUp based on recommendations from friends and because of its convenient format: I learned through video lessons at my own pace, which was perfect for my schedule. I used to think that QA was just “clicking around a website and writing a report.” It turned out I needed to know a bunch of tools and work with a huge amount of documentation! Not having a technical background didn’t hold me back at all. There were tough topics, and sometimes I had to redo my homework several times, but I gradually started to understand everything. So far, I’ve only built a foundation, and I plan to keep practicing and deepening my knowledge. But if you’re hesitating—just give it a try and see it through to the end!
I direct my talents and experience in the direction of IT Business Analysis. The guys from SkillsUp help on this thorny path, thanks to their advice it was possible to organize the ocean of information. Olga Simchak, Marina Melnyk, thank you very much!