Programme outline
Learning objectives
By the end of this course, participants should be able to:
- Leverage artificial intelligence (AI) and data analytics to enhance agile project and product management decision-making.
- Utilise AI-powered customer insights for segmentation, sentiment analysis, and predictive analytics.
- Implement data visualisation techniques using tools like Power Business Intelligence (BI) and Tableau to create agile dashboards.
- Apply data storytelling strategies to translate complex insights into actionable business decisions.
- Develop AI-driven strategies for churn prediction, customer retention, and agile product development.
- Integrate AI and automation into agile workflows for enhanced efficiency and innovation.
- Execute agile methodologies effectively, including Scrum, Kanban, and backlog prioritisation.
- Analyse real-world case studies and apply best practices to solve business challenges.
- Present data-driven project insights to stakeholders using compelling narratives and interactive reports.
- Enhance career prospects by acquiring in-demand skills in AI-driven project and product management.
1. (SCTP module) Introduction to Agile Methodologies
This course aims to equip learners with a deep understanding of Agile methodologies, frameworks, and best practices to enhance their effectiveness in Agile-driven roles such as Scrum Master, Product Owner, Agile Coach, or Project Manager. Through hands-on exercises, real-world case studies, and practical applications of Agile tools, learners will develop skills in Agile planning, estimation, collaboration, and continuous improvement.
By mastering these competencies, learners can apply Agile principles in their daily work to manage projects more efficiently, foster team collaboration, drive innovation, and adapt to rapidly changing business environments, ensuring successful Agile implementation within their organisations.
2. (SCTP module) Fundamental of Project and Product Management
This course aims to equip professionals with the knowledge and practical skills needed to excel in project and product management while integrating Agile methodologies and Environmental, Social, and Governance (ESG) principles.
Learners will develop expertise in Agile frameworks, stakeholder management, sustainable project execution, and data-driven decision-making. By applying these skills, they will enhance efficiency, adaptability, and innovation in their roles—whether managing product lifecycles, optimising project workflows, or driving ESG compliance. The course enables professionals to lead cross-functional teams, implement sustainable business strategies, and navigate complex challenges in dynamic work environments.
3. (SCTP module) Data Mastery for Digital Project & Product Management
The Data Mastery for Digital Project & Product Management course equips learners with essential skills to apply AI-powered analytics, data visualisation, and storytelling to enhance decision-making in Agile project and product management.
Participants will learn to gather, clean, and analyse data, utilise advanced visualisation tools like Power Business Intelligence (BI) and Tableau, and craft compelling data narratives to influence stakeholders. These skills will enable learners to improve project planning, customer retention, and product strategy, empowering them to drive data-informed decisions, optimise project performance, and create impactful, customer-focused strategies in their workplace.
4. (SCTP module) Industry Case Study and Presentation
This course aims to equip learners with practical, real-world skills by guiding them through the application of Agile methodologies, AI integration, and data-driven decision-making in various business scenarios.
Through hands-on case study analysis, team strategy development, and presentations, learners will develop the ability to design Agile roadmaps, prioritise sprints, and leverage AI tools for optimising project execution. The course prepares learners to apply these skills in their roles as Agile Project Managers, Product Owners, or Scrum Masters, enabling them to make informed decisions, manage project risks, and effectively communicate data-driven strategies to stakeholders in their day-to-day work.
5. (SCTP module) Certified Scrum Master
This course aims to deliver a comprehensive education on the foremost management methodology employed in Agile projects. Facilitated by our international Certified Scrum Trainers, this programme offers a dynamic and immersive learning experience that encompasses interactive scenarios, in-depth case study discussions, mini-project simulations, role-plays, quizzes, and engaging games.
6. (SCTP module) Certified Scrum Product Owner
This course aims to equip you with the essential tools and skills necessary to excel as a Product Owner in the Scrum framework. It offers a practical and immersive learning experience that accelerates your knowledge and expertise.
7. (SCTP module) Certified Generative AI in Product Management
The “Certified Generative AI for Product Management” course aims to equip product managers with the proficiency needed to seamlessly integrate generative AI into their product management practices.
This extensive programme enhances participants’ skills with essential competencies in ideation, prototyping, user experience improvement, and market validation. By utilising advanced AI tools and techniques, participants will learn to streamline development processes, foster innovation, and address ethical AI implementation.
8. (SCTP module) Certified Generative AI in Project Management
The “Certified Generative AI in Project Management” aims to empower project managers with the proficiency needed to integrate generative AI into project management practices seamlessly. This extensive course is crafted to elevate participant skill sets with vital competencies in project planning, resource allocation, risk mitigation, and beyond, enabling them to streamline processes, foster creativity, and address ethical and regulatory aspects.
Assessment
Assessment, assignment, project & presentation