AI for Digital Products in Banking Training Course
Artificial Intelligence serves as a transformative technology that empowers the creation of digital products equipped with sophisticated data-driven functionalities and bespoke customer experiences.
Designed for intermediate-level banking professionals eager to design, develop, and roll out AI-enabled digital products effectively, this instructor-led live training is available both online and onsite. The programme integrates asynchronous learning activities with face-to-face workshops.
Upon completion of this training, participants will be equipped to:
- Pinpoint customer requirements and articulate a distinct product vision.
- Integrate AI technologies to elevate the capabilities of digital banking products.
- Utilise agile frameworks and design thinking methodologies to engineer user-centric solutions.
- Assess, refine, and optimise product performance to ensure enduring value creation.
Course Delivery Format
- 50% synchronous sessions (conducted virtually or in-person).
- 25% asynchronous learning activities (including video modules, reading materials, and discussion forums).
- 25% hands-on in-person workshop featuring real-world case studies.
Customisation Options
- For tailored training solutions specific to this course, please get in touch with us to discuss your requirements.
Course Outline
1. Strategic Product Thinking
- Identifying customer needs
- Market and competitor analysis
- Defining market size relative to customer problems or needs
- User segmentation and persona development
- Articulating product vision, purpose, and strategy
- Prioritisation based on value and effort
- Constructing value maps and defining desired outcomes
2. Product Creation
- User-centred design (UX/UI)
- Incremental and iterative development via cross-functional teams (Scrum)
- Backlog management and drafting user stories
- Early validation techniques (MVPs, experiments)
- Establishing product metrics
- Practical Design Thinking workshop
- Prompt engineering for leaders (applying AI to products)
- Data-driven design principles
- Service design blueprint (service mapping)
- Backlog management and prioritisation (expert-led session)
3. Product Delivery to Customers
- Release planning and roadmap management
- Go-to-market strategies
- Onboarding processes and measuring post-launch product experience
- Collecting feedback from live production environments
- Coordinating with marketing and sales teams
- Developing the product funnel and monitoring dashboards
4. Capturing Value
- Product metrics (NPS, DAU, retention rates, etc.)
- Monetisation strategies and pricing models
- Funnel analysis
- Customer value assessment (LTV, CAC, ROI)
- Data-driven iteration
- Product lifecycle management
- Ensuring product scalability and sustainability
- Product Profit & Loss (P&L) analysis
- Developing robust business cases
Summary and Next Steps
Requirements
- A solid understanding of banking operations
- Proven experience in digital product development
- Foundational knowledge of AI concepts
Target Audience
- Product managers within the banking industry
- Leaders driving digital transformation
- Banking professionals engaged in the design of AI-driven products
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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