AI for Digital Products in Banking Training Course
Artificial Intelligence serves as a pivotal technology for crafting digital products equipped with advanced, data-driven capabilities and tailored customer experiences.
Designed for intermediate-level banking professionals aiming to design, develop, and deploy AI-powered digital products with efficacy, this instructor-led live training offers flexible delivery modes (online or onsite). The curriculum integrates asynchronous learning activities with immersive in-person workshops to facilitate a comprehensive understanding.
Upon completing this training, participants will gain the ability to:
- Evaluate customer requirements and articulate a distinct product vision.
- Leverage AI technologies to elevate the functionality of digital banking products.
- Utilize agile methodologies and design thinking to engineer user-centric solutions.
- Measure, refine, and optimize product performance to ensure long-term value creation.
Course Format
- 50% synchronous instruction (delivered virtually or in-person).
- 25% asynchronous learning modules (including video content, reading materials, and discussion forums).
- 25% hands-on in-person workshops featuring real-world case studies.
Customization Options
- For organizations seeking a tailored training experience, please reach out to us to arrange a customized program.
Course Outline
1. Conceptualizing the Product
- Identifying core customer needs.
- Conducting market and competitor analysis.
- Assessing the market size relative to specific customer problems or needs.
- Defining user segmentation and creating detailed personas.
- Establishing product vision, purpose, and strategic direction.
- Implementing value/effort-based prioritization techniques.
- Developing value maps and defining desired outcomes.
2. Developing the Product
- Implementing user-centered design (UX/UI) principles.
- Facilitating incremental and iterative development through cross-functional teams using Scrum.
- Managing the backlog and crafting effective user stories.
- Utilizing early validation techniques, such as MVPs and experiments.
- Defining key product metrics.
- Participating in a practical Design Thinking workshop.
- Exploring prompt engineering for leaders (applying AI to product development).
- Adopting data-driven design approaches.
- Creating service design blueprints (service mapping).
- Engaging in backlog management and prioritization sessions with experts.
3. Delivering the Product to the Customer
- Managing product releases and roadmaps.
- Formulating go-to-market strategies.
- Overseeing onboarding and measuring the post-launch product experience.
- Collecting feedback from users in production environments.
- Coordinating efforts with marketing and sales teams.
- Constructing the product funnel and monitoring dashboards.
4. Capturing Value
- Tracking product metrics (e.g., NPS, DAU, retention rates).
- Developing monetization and pricing models.
- Conducting funnel analysis.
- Evaluating customer value (LTV, CAC, ROI).
- Driving data-informed iterations.
- Managing the product lifecycle.
- Ensuring product scalability and sustainability.
- Analyzing product P&L (Profit and Loss).
- Developing robust business cases.
Summary and Next Steps
Requirements
- A solid understanding of banking operations.
- Practical experience in digital product development.
- Familiarity with fundamental AI concepts.
Target Audience
- Product managers operating within the banking sector.
- Leaders driving digital transformation initiatives.
- 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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