(SCTP) Associate Project & Product Management Driven by Artificial Intelligence (AI) & Data Analytics

Training Provider: SINGAPORE UNIVERSITY OF TECHNOLOGY AND DESIGN
Course Reference: TGS-2025056196
S$7,500
Original: S$25,000
Save S$17,500

About This Course

The Associate Project & Product Management Driven by Artificial Intelligence (AI) & Data Analytics course equips learners with the essential skills to manage agile projects and products using AI-powered analytics and data-driven decision-making. Through hands-on training in AI-driven customer insights, predictive analytics, data visualization, and storytelling, participants develop the ability to optimize product strategies, improve customer retention, and enhance stakeholder communication. The course provides practical experience with industry-leading tools such as Power Business Intelligence (BI), Tableau, and AI-powered automation, enabling learners to apply these skills in real-world scenarios. By integrating AI into agile methodologies, participants can drive innovation, streamline workflows, and make informed decisions, enhancing their effectiveness in roles such as Agile Project Managers, Product Owners, Business Analysts, and Data-Driven Strategists.

What You'll Learn

a. Leverage Artificial Intelligence (AI) and Data Analytics to enhance agile project and product management decision-making.
b. Utilize AI-powered customer insights for segmentation, sentiment analysis, and predictive analytics.
c. Implement data visualization techniques using tools like Power Business Intelligence (BI) and Tableau to create agile dashboards.
d. Apply data storytelling strategies to translate complex insights into actionable business decisions.
e. Develop Artificial Intelligence (AI)-driven strategies for churn prediction, customer retention, and agile product development.
f. Integrate AI and automation into agile workflows for enhanced efficiency and innovation.
g. Execute agile methodologies effectively, including Scrum, Kanban, and backlog prioritization.
h. Analyze real-world case studies and apply best practices to solve business challenges.
i. Present data-driven project insights to stakeholders using compelling narratives and interactive reports.
j. Enhance career prospects by acquiring in-demand skills in AI-driven project and product management.

Entry Requirements

a. Diploma/
b. GCE A Level
c. Relevant work experience

Course Details

Duration 179 hours
Language English
Training Commitment Part Time
Total Enrolled New course
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Note: To apply for this course, visit the SkillsFuture website or contact the training provider directly.

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