AI-Driven Business Transformation
Comprehensive program about utilizing the power of AI and cutting-edge technologies to revolutionize business operations and drive sustainable growth.
AI-Driven Business Transformation
Program Overview
The AI-Driven Business Transformation program is designed to equip modern professionals with the essential knowledge and skills to navigate and implement digital transformation within their projects or organizations. This comprehensive micromaster’s program explores the key aspects of digital transformation, combining the specific features of business and technology. Participants will gain practical tools to initiate and manage change, lead projects and teams, and integrate advanced technologies into business processes, ensuring sustainable growth in a dynamic digital landscape.
Emphasizing the transformative power of technology, the program enables students to understand how artificial intelligence operates in business and how to implement and apply it for better outcomes, increased productivity, and process automation. By the end of the course, students will have developed a ready-to-implement digital transformation strategy for their project or organization, strengthening their business impact and increasing market value.
Study outcomes
Educational modules
Module 1. Digital Transformation Fundamentals
This module develops your ability to deeply understand the digital world, equipping you with foundational knowledge of digitization and digital transformation. You will explore the historical evolution of digital technologies through the framework of industrial revolutions, allowing you to connect past innovations with the current digital landscape.
Module Content- The history of industrial revolutions
- Introduction to Digital Transformation
- Digital Transformation Process
- Workshop 1 - Digital Transformation Failures (case examples)
Module 2. Leadership and Management Essentials
This module develops your ability to lead teams and manage projects effectively in fast-changing organizational environments during the AI Transformation. You’ll gain practical knowledge of leadership models, executive roles, and decision-making processes, along with hands-on experience in project planning and execution. By combining strategic insight with management tools, you’ll be prepared to drive successful outcomes at every stage of a project.
Module Content- Leadership Essentials
- Executive Leadership
- Executive Decision Making
- Technological Executive Roles (CIO & CISO)
- Introduction to Classical Management
- Introduction to Project Management
- Project Management Methodologies
- PRINCE2 Methodology
- Workshop 2 - Leadership
- Workshop 3 - Handling Project Management Challenges: Strategies for Overcoming Adversity
Module 3. Transformation & Change Management
This module develops your understanding of transformation and change management strategies by immersing you in real-world case studies of both successful and unsuccessful transformation efforts. You will analyze these examples to extract valuable lessons, gaining insight into what drives success and where pitfalls commonly occur.
Module Content- Introduction to Change Management
- Change Management Frameworks
- Understanding & Overcoming Immunity to Change
- Environmental Change and Organizational Mortality
- Managing in Turbulent Times. VUCA and BANI World
- Success and Failure Case Studies
- Workshop 4 - Transformation & Change Management p.1
- Workshop 5 - Transformation & Change Management p.2
Module 4. Applicative Artificial & Augmented Intelligence
This module develops your comprehensive understanding of AI and its relevance to management by exploring its historical context and the lessons learned throughout its development. You will examine practical applications of AI in business process redesign, with a special focus on the security risks emerging from digital transformation. The module also introduces Augmented Intelligence, explaining how it enhances human decision-making by combining AI capabilities with human judgment.
Module Content- Management Meets Computer Science
- Artificial Intelligence: History, Types, and Impact
- Business Process Redesign
- Business Process Redesign - AI layer
- AI-Powered Process Automation in Enterprises
- Introduction to Digital Security in Business Transformation
- Identifying Security Risks
- Risk Management Frameworks
- Security Strategies for AI-driven Business Transformation
- BS detection
- Augmented Intelligence: Applications to Decision Making
- Workshop 6 - Generative AI for Business Leaders: Content Creation, Communications, Marketing
- Workshop 7 - How to Automate Processes and Improve Business Efficiency p.1
Module 5. Applicative Artificial & Augmented Intelligence
This module develops your foundational and practical understanding of Generative Artificial Intelligence and Machine Learning Operations (MLOps). You will explore basic machine learning concepts and the evolving practices of MLOps versus LLMOps to grasp how modern AI models are developed and deployed effectively. The module guides you through essential stages such as preparing data for model training, building baseline models, and evaluating model performance. You will gain hands-on experience with running machine learning experiments and assessing generative AI models, enabling you to refine model quality. Additionally, you will master the art of prompt engineering, a critical skill for optimizing interactions with Generative AI systems.
Module Content- Introduction to Generative Artificial Intelligence
- Basic Machine Learning Concepts
- Machine Learning Operations (MLOps)
- MLOps vs. LLMOps
- Preparing Data for Model Training
- Baseline Model
- Model Evaluation
- Machine Learning Experiments
- Evaluating Generative AI Models
- Prompt Engineering
- Workshop 8 - How to Automate Processes and Improve Business Efficiency p.2
- Workshop 9 - AI - the Next Frontier and Strategic Readiness
Module 6. AI in Cybersecurity
This module explores the impact of AI on cybersecurity. We will take a detailed look at the types of cyber threats based on artificial intelligence. We will look at practical tools and means of data protection, frameworks and regulatory frameworks, examples of real-life breaches related to AI or AI data. We will also look at the business opportunities and technical limitations of AI in cybersecurity and future trends in the field.
Module Content- Introduction to AI in Cybersecurity
- Emerging Threats Enabled by AI
- Data Protection in the Age of AI
- Tools, Frameworks, and Regulations
- Case Studies and Future Outlook
- Workshop 10 - Secure AI Transformation: From Risks to Resilience
Module 7. Ethical Considerations in AI
This module delves into the ethical dimensions of AI and digital transformation. You'll examine real-life AI failures and their consequences for businesses. You'll also explore the business case for ethical AI and gain insights into a hierarchical ethical framework that guides responsible AI practices.
Module content- Known Public Failures of AI and Business Consequences
- Why is Ethical AI good for business?
- Hierarchical Ethical AI Framework
- Ethical Threat Identification
- Workshop 11 - Ethical AI in Business: A Path to Responsible Digital Transformation
The module “AI in Cybersecurity” is designed within the project “Knowledge Rise: Advancing Sustainable Blue-Green Economies via Deep Tech – Innovation Capacity Building in Higher Education” (grant agreement No. 24473). The project is part of the broader CloudEARTHi initiative and is funded by the European Union through the EIT HEI Initiative, coordinated by the European Institute of Innovation and Technology (EIT), Cohort 4.
Tutors and mentors
Andrey Maevsky
Senior Director, Professional Services & Support at IRONSCALES. Graduated with an Executive MBA from the University of Oxford. He has over ten years of experience managing and developing technology projects. Andrey has successfully worked with the markets of Israel, Spain, Germany, the UK, and Ukraine.
Oleg Zubchenok
Growth Strategist & Business Process Manager.
10+ years of experience in developing business development strategies and optimizing business processes. In recent years, he has been advising businesses and acting as a Board Advisor. He is also an adjunct professor at SET University.
Yulia Maruniak
Yuliia Maruniak has advised over 50 Ukrainian and international brands on effective digital tools, marketing strategy, communications, and building marketing departments. Yulia is a co-founder of the digital marketing agency The Digital State. She is also an adjunct professor at SET University.
Dimitri Chichlo
Dimitri is a Supervisory Board member with operational, information security and cybersecurity skills, in charge of the digital transformation and operational transformation of a large Ukrainian state-owned bank. Dimitri has excellent analytical, negotiation, and communication skills, and is a proven problem solver, bridge-builder, and entrepreneur. He is also an adjunct professor at SET University.
Benefits
Comprehensive practical program for solving real business case
Adaptive online learning – can be combined with full-time work
Work in groups with constant feedback from teachers
A ready-made digital transformation plan at the end of the training
Optimize your business while studying
Expert support from industry practitioners
For whom
Business owners and organizational leaders in the midst of transformation who need new and effective approaches for adaptation and growth
Managers responsible for new and transformational processes in projects or organizations
Team leaders (with three or more members) and line managers seeking to optimize operations and streamline processes
Reviews
Valerii Dobrovolskyi
Chemonics UK, Partnership Fund for a Resilient Ukraine
Participating in the AI-Driven Business Transformation micro-master’s program at SET University was a real discovery and a strong push toward change. The program helped me gain a deeper understanding of how to approach transformation in business, teams, technology, processes, and other areas in the new era of artificial intelligence.
SET offered a well-structured curriculum and brought together a strong cohort of students. Over the course of three months, we studied together and exchanged professional experience from various industries. The training was practical and timely, as my company is currently working to adapt its business operations to AI. I hope to apply the knowledge gained in practice to deliver real value.
Yaroslav Vasylenko
I’m a geneticist working on both scientific and commercial projects. I was looking for a program that would provide a clear understanding of artificial intelligence and its practical applications. In my work, I often rely on familiar tools, which can make it difficult to explore new approaches or step outside established patterns.
This program exceeded all my expectations – the discussions were meaningful, and everyone had the chance to relate the material to their own experience. I sincerely recommend it to anyone with a vision for the future or a desire to transform their business, industry, or processes using AI.
Evelina Holovaniova
Q: Had you previously automated work processes using AI tools and data?
Before the program, I didn’t use these tools as effectively or broadly as I do now. It was important for me to understand not only the advantages of AI tools but also the rules and ethical aspects of their use. Effective management and modern tools go hand in hand when it comes to making quick and sound decisions.
Q: In your view, what are the most inefficient models or business processes that still exist in companies?
Constantly comparing your product to competitors isn’t enough if you don’t understand your own strengths and know how to use them well. It’s essential to track trends and stay tuned to the market. Especially during times of major challenges and events, adapting your work and your team’s operations becomes critical. This is about flexibility – a must-have today.
Q: What do you find most interesting within the program?
What stood out most was the learning journey itself – packed with hands-on practice and real tools that we tested and discussed directly in class. The community of like-minded people and strong lecturers motivated me to keep learning after working hours. One module I found especially valuable was the one on leadership – understanding team types and work styles. It was incredibly useful and helped me identify my own approach, style, and an effective working model.
Oleksandr Sherstiuk
Q: What operational challenges have you faced during the war? Had you previously automated work processes using AI tools and data?
In our company, within my area of responsibility, the processes were already adapted to stressful conditions, as we had restructured them during the pandemic. We removed unnecessary bureaucracy and automated certain parts.
AI tools are mostly used for basic tasks at the level of generative models.
Q: In your view, what are the most inefficient models or business processes that still exist in companies?
Anything related to physical paper documents, in my personal opinion, should disappear. This would help companies significantly speed up both external and internal processes. I really like Mykhailo Fedorov’s quote: “Data should be running, not people.” It’s important to optimize processes so that human resources aren’t wasted on running around.
Q: Which workshop from the program stood out to you and why? What did you find most valuable in the program?
The most memorable workshop for me was “Return on Investment in the Digital Transformation Process.” It was fascinating to hear real cases from Ukrainian companies, the stages of addressing their challenges through digital transformation, and the impact of those initiatives.
Learn more about the SET University program
