AI for Digital Products in Banking Training Course
Artificial Intelligence serves as a pivotal technology for developing digital solutions that leverage advanced data-driven capabilities and deliver personalized customer experiences.
This instructor-led live training, available either online or on-site, integrates asynchronous activities with in-person workshops. It is designed for banking professionals with intermediate proficiency who aim to effectively design, develop, and launch AI-enabled digital products.
Upon completion of this training, participants will be able to:
- Recognize customer requirements and establish a clear product vision.
- Implement AI technologies to augment digital banking offerings.
- Utilize agile methodologies and design thinking to craft user-centric solutions.
- Assess, refine, and optimize product performance to ensure long-term value.
Course Format
- 50% synchronous sessions (virtual or face-to-face).
- 25% asynchronous tasks (video content, readings, and discussion forums).
- 25% in-person practical workshops featuring case studies.
Customization Options
- For customized training arrangements, please contact us directly.
Course Outline
1. Product Conception
- Identifying customer needs
- Market and competitor analysis
- Estimating the market size linked to the customer problem or need
- User segmentation and persona creation
- Product vision, purpose, and strategy
- Prioritization based on value and effort
- Value maps and desired outcomes
2. Product Development
- User-centered design (UX/UI)
- Incremental and iterative development with cross-functional teams (Scrum)
- Backlog management and user story creation
- 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. Product Delivery to Customers
- 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. Value Capture
- 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
- Understanding of banking operations
- Experience in digital product development
- Familiarity with fundamental AI concepts
Target 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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