Looking to transform how your team tackles challenges?
This workshop is your gateway to mastering the essentials of Design Thinking. By the end, you’ll be equipped to solve real-world problems creatively and collaboratively, driving innovation within your organization. Don’t miss out—unlock your team’s full potential with Design Thinking!
Sign up today and start turning ideas into impact!
About the Course
Ignite your creativity in this two-day workshop focused on driving innovative solutions and Design Thinking methodology focusing on its five key stages: Empathize, Define, Ideate, Prototype, and Test. The workshop also covers essential tools and techniques, enabling attendees to apply Design Thinking principles to real-world challenges and enhance their problem-solving skills.
Learning Outcomes
Master Core Principle of Design Thinking: Understand and apply the fundamentals of methodology used by leading companies like Google, Apple, IBM, etc within your organization.
Learn How To Drive Innovation: Find out how to create innovative and user-focused solutions and deliver value to your customers.
Leverage User Insights: Learn to enhance product development with a deep focus on user needs and pain points.
Strengthen Creative Problem-Solving: Cultivate your creative mindset and learn to foster out-of-the-box thinking to explore novel approaches and solutions.
Put Skills into Practice: Gain hands-on experience working on real challenges and gain skills to apply in your daily work.
Roles: Product Managers, Start-up Founders, UX/UI Designers, Business Analysts, Project Managers.
Company Types: Start-ups, consulting firms, innovation hubs, and product-focused enterprises seeking user-centered innovation.
Industries: Financial services, telecommunications, healthcare, retail, education, real estate, tourism, logistics, and HR tech.
Goals: Organizations aiming to implement design thinking to enhance product development and drive innovation.
Focus: Teams focused on digital transformation and enhancing user experience through structured methodologies.
Who is this Course for?
Modules
Session 1: Overview of AI and its Role in Fintech
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Definition of AI, machine learning, and generative AI
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AI applications in financial services: payments, lending, insurance, wealth management
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The transformative potential of AI in fintech
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Case studies of AI in finance
Session 2: Fundamentals of AI: Key Concepts
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Introduction to data-driven decision-making
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Key AI technologies: machine learning, natural language processing, and computer vision
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Overview of AI lifecycle: data collection, model building, and deployment
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Session 3: Machine Learning Fundamentals for Fintech
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Supervised vs. unsupervised learning
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Application of machine learning models in financial forecasting and risk assessment
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Understanding credit scoring models and fraud detection
Session 4: Hands-On Introduction to Machine Learning
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Basic hands-on exercises in data analysis and model training (simplified using no-code/low-code tools)
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Demo of a machine learning tool in the financial context
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Session 5: Introduction to Generative AI
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What is generative AI and its core components
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Use cases of generative AI in fintech: personalized financial services,= chatbot development, and automated content generation
Session 6: Generative AI and Chatbots in Financial Services
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Exploring AI chatbots for customer service and financial advice
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Case studies of chatbot deployment in fintech companies
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Session 7: The Role of Data in AI and Fintech
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Importance of data quality and data governance in AI applications
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Introduction to data analytics tools in fintech
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Compliance and privacy concerns related to financial data
Session 8: Data-Driven Insights for Financial Decision-Making
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Practical example: building basic financial dashboards using data analytics tools
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Real-world case study: leveraging AI for personalized financial product recommendations
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Session 9: AI for Fraud Detection in Fintech
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Machine learning algorithms for detecting fraudulent transactions
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AI-driven risk-scoring models
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Case study: AI tools used by banks and payment processors
Session 10: Implementing AI for Risk Management
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Identifying risks using predictive modeling
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AI applications for credit risk, operational risk, and liquidity risk management
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Demo: Basic predictive risk model using AI tools
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Session 11: AI in Payments
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How AI optimizes payment processing systems
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Use cases: AI-driven payment gateways and fraud prevention
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Case studies: PayPal, Stripe, and AI-driven payment solutions
Session 12: AI for Lending and Credit Scoring
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AI’s impact on peer-to-peer lending and microfinance
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Credit scoring models powered by AI
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Case studies on AI in digital lending platforms
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Session 13: Regulatory Landscape for AI in Finance
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Overview of financial regulations impacting AI adoption
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Compliance with data protection laws (e.g., GDPR, PSD2)
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Addressing algorithmic bias and fairness in AI models
Session 14: Ethical AI and Responsible Innovation in Fintech
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Importance of transparency, fairness, and accountability in AI models
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Ethical considerations in customer data usage
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Best practices for deploying ethical AI in fintech
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Session 15: Future Trends in AI for Fintech
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Trends shaping the future of AI in finance: decentralized finance (DeFi), blockchain, AI-driven asset management
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How AI and fintech will evolve in the coming years
Session 16: Capstone Project Presentation and Course Wrap-Up
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Team-based or individual capstone projects
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Presentations and feedback ○ Course review and next steps
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Agenda
Day 1 | 26 Aug, 2025
9:00 AM - 9:20 AM
Welcome & Introduction to Workshop
9:20 AM - 9:40 AM
Icebreaker Activity by Group
9:40 AM - 10:00 AM
Introduction to Design Thinking Framework
10:00 AM - 11:30 AM
Empathy Phase: Understanding the User
11:30 AM - 11:40 AM
Break
11:40 AM - 12:40 PM
Define Phase: Problem Statement
12:40 PM - 1:00 PM
Wrap-up & Q&A
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Day 2 | 27 Aug, 2025
9:00 AM - 9:15 AM
Recap of Day 1 & Introduction to Day 2
9:15 AM - 10:00 AM
Ideation Phase: User Journey
10:00 AM - 11:00 AM
Prototype Phase: Sketching Concept
11:00 AM - 11:15 AM
Break
11:15 AM - 12:15 PM
Test Phase: User Testing
12:15 PM - 1:15 PM
Presentation
1:15 PM - 1:30 PM
Closing Remarks and Feedback Session
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Trainers
Ivanna Kuzik
Lead Product Designer at QubStudio
With 11 years in product design, Ivanna specializes in mobile banking, fintech, and e-wallets. For the past five years, she has designed digital banking solutions for GCC markets, ensuring seamless user experiences. Her work on ila Bank earned a Red Dot Award, and she excels in design workshops, sprints, and UX strategy. Ivanna values collaboration, open communication, and innovation, consistently delivering impactful digital products.
Kateryna Vitkovska
Lead Product Designer at QubStudio
Kateryna (Kate) brings over a decade of UX/UI and product design experience, including 5 years in team leadership, making her a seasoned expert and engaging educator. She offers comprehensive expertise in user research, prototyping, and design systems, cultivated across diverse sectors such as SaaS, Healthcare, Fintech, B2B, B2C, Business & Productivity, and Logistics.
Kate excels at creating solutions that strategically align user needs with business objectives. By establishing streamlined processes that minimize effort and resources, she ensures efficient outcomes, using a design thinking approach as the adaptable framework for team-driven design. Beyond her design prowess, Kate is passionate about sharing her knowledge; she regularly conducts dynamic workshops, delivers insightful lectures, and teaches design principles, empowering individuals and teams to master the art and science of product creation.
Lisa Kukharska
Senior Product Designer at Qubstudio
With a background in UX/UI design and a strong focus on product strategy,
Lisa has experience working across fintech, SaaS, and B2B/B2C industries. She creates solutions that balance user needs with business objectives, ensuring both functionality and value. Beyond designing intuitive, user-centered experiences, she consults businesses to help identify opportunities where design can drive impact. Passionate about problem-solving and collaboration, she leverages design thinking methodologies to foster innovation and deliver meaningful user experiences.
