AI for Digital Products in Banking Training Course
Artificial Intelligence empowers the creation of digital products with advanced data-driven capabilities and personalized customer experiences.
This instructor-led, live training (online or onsite) combined with asynchronous activities and in-person workshops is aimed at intermediate-level banking professionals who wish to design, develop, and deliver AI-powered digital products effectively.
By the end of this training, participants will be able to:
- Identify customer needs and define a clear product vision.
- Apply AI technologies to enhance digital banking products.
- Use agile and design thinking methods to create user-centered solutions.
- Measure, iterate, and optimize product performance for sustained value.
Format of the Course
- 50% synchronous classes (virtual or in-person).
- 25% asynchronous activities (videos, readings, forums).
- 25% in-person practical workshop with case studies.
Course Customization Options
- To request a customized training for this course, please contact us to arrange.
Course Outline
1. Thinking about the Product
- Identifying customer needs
- Market and competitor analysis
- Defining market size associated with the customer problem or need
- User segmentation and persona definition
- Product vision, purpose, and strategy
- Value/effort-based prioritization
- Value maps and desired outcomes
2. Creating the Product
- User-centered design (UX/UI)
- Incremental and iterative development with cross-functional teams (Scrum)
- Backlog management and writing user stories
- Early validation techniques (MVP, experiments)
- Defining product metrics
- Practical Design Thinking workshop
- Prompt engineering for leaders (AI applied to products)
- Data-driven design
- Service design blueprint (service mapping)
- Backlog management and prioritization (session with expert)
3. Delivering the Product to the Customer
- Release and roadmap management
- Go-to-market strategies
- Onboarding and measuring post-launch product experience
- Gathering feedback in production
- Coordination with marketing and sales
- Building the product funnel and monitoring dashboard
4. Capturing Value
- Product metrics (NPS, DAU, retention, etc)
- Monetization and pricing models
- Funnel analysis
- Customer value (LTV, CAC, ROI)
- Data-driven iteration
- Product lifecycle management
- Scalability and sustainability of the product
- Product P&L
- Business case
Summary and Next Steps
Requirements
- An understanding of banking operations
- Experience with digital product development
- Familiarity with basic AI concepts
Audience
- Product managers in the banking sector
- Digital transformation leaders
- Banking professionals involved in AI-driven product design
Open Training Courses require 5+ participants.
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Testimonials (1)
Trainer was very knowledgeable and easy to speak to
Gareth Gird - Teleflex Medical Europe Ltd
Course - Copilot for Finance and Accounting Professionals
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