AI for Digital Products in Banking Training Course
Artificial Intelligence serves as the technological foundation for creating digital products that offer advanced, data-driven capabilities and personalized customer experiences.
This live, instructor-led training—available online or onsite—integrates asynchronous learning activities with in-person workshops. It is designed for banking professionals at an intermediate level who aim to effectively design, develop, and launch AI-powered digital products.
Upon completing this training, participants will be able to:
- Identify customer needs and establish a clear product vision.
- Leverage AI technologies to enhance digital banking offerings.
- Utilize agile methodologies and design thinking to develop user-centered solutions.
- Measure, iterate on, and optimize product performance to ensure sustained value.
Course Format
- 50% synchronous sessions (virtual or in-person).
- 25% asynchronous activities (videos, readings, and forums).
- 25% in-person practical workshop featuring case studies.
Customization Options
- To arrange a customized version of this course, please contact us.
Course Outline
1. Product Strategy and Conception
- Identifying customer needs.
- Analyzing the market and competitors.
- Defining the market size relative to customer problems or needs.
- User segmentation and persona development.
- Establishing product vision, purpose, and strategy.
- Prioritization based on value versus effort.
- Creating value maps and defining desired outcomes.
2. Product Development
- User-centered design (UX/UI).
- Incremental and iterative development using cross-functional teams (Scrum).
- Backlog management and writing user stories.
- Early validation techniques (MVPs, experiments).
- Defining product metrics.
- Practical Design Thinking workshop.
- Prompt engineering for leaders (applying AI to products).
- Data-driven design approaches.
- Service design blueprinting (service mapping).
- Backlog management and prioritization (led by an expert).
3. Product Delivery to Customers
- Release planning and roadmap management.
- Go-to-market strategies.
- Onboarding processes and measuring post-launch product experience.
- Gathering feedback in production environments.
- Coordinating with marketing and sales teams.
- Building product funnels and monitoring dashboards.
4. Value Capture and Optimization
- Product metrics (NPS, DAU, retention, etc.).
- Monetization and pricing models.
- Funnel analysis.
- Customer value indicators (LTV, CAC, ROI).
- Data-driven iteration.
- Product lifecycle management.
- Ensuring product scalability and sustainability.
- Product Profit and Loss (P&L).
- Business case development.
Summary and Next Steps
Requirements
- Understanding of banking operations.
- Experience in digital product development.
- Familiarity with fundamental AI concepts.
Audience
- Product managers within the banking sector.
- Leaders driving digital transformation.
- Banking professionals engaged 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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