Data CollectionData Systems EngineeringData Systems IntegrationExploration AnalysisStatistical TechniquesOptimisation TechniquesCharts & DashboardsData StorytellingML Optimisation
Job Roles
Public Service Officer (non-ICT&SS)Project Manager (Agile)ICT&SS ProfessionalDigital Service ManagerProduct ManagerQuantitative AnalystComputational ScientistData EngineerAI EngineerChief Data OfficerData StrategistData Architect
Overview
In Singapore’s dynamic business and governance landscape, your agency must embrace generative AI to lead and deliver superior services. Seamlessly integrate AI into business operations, focusing on product management and workflow optimisation.
Government agencies must prioritise leveraging AI to enhance service quality and achieve cost efficiency, essential for impactful outcomes across public and private sectors. This involves re-architecting processes to fully exploit AI's potential, enhancing efficiency, reliability, and performance significantly.
Explore real-world case studies on leveraging AI, especially generative AI, to enhance products and workflows. Gain frameworks, tools, and strategies to confidently initiate, manage, and deliver AI projects.
Key Takeaways
At the end of this programme, you will be able to:
Master the fundamental principles and capabilities of generative AI technologies
Learn strategic integration of generative AI into digital transformation initiatives across functional units and product management processes
Explore diverse applications of generative AI in business sectors, including retrieval augmented generation techniques
Harness generative AI to drive innovation and development within functional units and product management frameworks
Identify market opportunities where generative AI enhances product management strategies and functional unit operations
Gain insights into ethical considerations and cultivate responsible AI governance practices in product management and functional unit contexts
Who Should Attend
Please refer to the job roles section.
Project Managers, Product Owners, and Service Owners aiming to enhance products and services with AI and generative AI.
Senior executives sponsoring AI-driven initiatives for product and service enhancement.
Public Service Officers seeking to grasp the fundamentals of leveraging AI and generative AI for product and service enhancement.
Prerequisites
Participants are required to have completed the (Generative) AI for Business Leaders (or Government Leaders) programme prior to attending this programme or have hands-on experience using GenAI including prompting techniques, custom GPTs, etc.
Participants need to have a strong interest in digital product and services and how these enhance business transformation and competitiveness.
Participants with some work experience in project or product areas who are keen to transit to a strategic role would benefit most from the course.
This is an intensive, fully hands-on programme, and participants are expected to do prior readings, class preparation and project work outside of in-class sessions over a 2 day period.
Each participant is expected to spend 2-3 hours per days to work on the class assessment outside of class sessions.
What To Bring
No printed copies of course materials are issued.
Participants must bring their internet-enabled computing device (laptops, tablet etc.) with power charger to access and download course materials.
If you are bringing a laptop, please see below for the tech specs:
Minimum
Recommended
Computer and processor
Intel Core i5 or equivalent
Intel Core i7 or equivalent
Memory
8 GB RAM
16 GB RAM
Hard Disk
500 GB disk size
Display
1280 x 768 screen resolution
Graphics
Graphics hardware acceleration requires DirectX 9 or later, with WDDM 2.0 or higher for Windows 10 (or WDDM 1.3 or higher for Windows 10 Fall Creators Update).
DirectX 10 graphics card for graphics hardware acceleration
Others
An internet connection – broadband wired or wireless
Speakers and a microphone – built-in or USB plug-in or wireless Bluetooth
A webcam or HD webcam - built-in or USB plug-in
This programme will cover the following topics:
Day 1:
Module 1: (Generative) AI Fundamentals and Framework
Overview of AI and its implications for businesses / government
Fundamentals of AI and Machine Learning (ML) for Leaders
Introduction to AI and GenAI with key concepts
Real-world Examples of AI/GenAI transforming Product Management and Re-architecting Workflow Processes
The Business Value of AI and generative AI: Enhancing Creativity, Innovation, and Decision-Making
Module 1: Framework for Incorporation of AI in Business Enterprises and Government Sphere
Overview of AI applications: Exploring real-world examples of AI / generative AI in product design, recommendation systems, forecasting, and zero/one/multi-shot computer vision problems
Integration strategies: Best practices to integrate generative AI into business workflows in different functional areas (e.g. HR, Finance, Sales & Marketing, Procurement)
Implementation Challenges and Solutions: Addressing common challenges and pitfalls during the implementation of AI / generative AI in products and workflows
Module 2: Supercharge Operational Workflows
Integrating AI/GenAI into Operational Workflows: Strategies and Considerations
Retrieval-Augmented Generation
Real-world use cases of AI/GenAI in Supercharging Operational Workflows: Objection Detection with zero/one/multi-shots vision, Recommendation systems based on user behaviour, and demand forecasting based on AI OCR approach
Day 2:
Module 3: AI to Supercharge Products
AI / generative AI in Product Management
Retrieval-Augmented Generation and Supercharge enhancements in Products
Driving Innovation through Generative AI: Creative Applications and Idea Generation
Enhancing Product Development with Generative AI: Prototyping and Iterative Design
Module 4: Design your workflow and product management with generative AI
Design your workflow with AI on supercharging workflow and products
Demonstration to Executive Sponsors (if it is corporate or government)
Solution transition to Business as Usual (BAU):
Streamline the ML deployment
Periodic data refresh
Managed Models Drift and Enhancement
Reflections and Takeaways
Certificate of Completion
The programme begins with learning about generative AI and practical use of available tools, followed by applying this knowledge to leverage AI within participants' organisations. Assessments include team workshop exercises and a team action plan.
Full Fee
Full programme fee
S$1200
9% GST on nett programme fee
S$108
Total nett programme fee payable, including GST
S$1308
NOTE
Funding is available for this programme. Please visit the Learning Partner’s website to find out about the updated programme fee funding breakdown and eligibility.
Payment for this programme is to NUS-ISS, National University of Singapore.
