AI-Powered Workplace Productivity

Training Provider: AVANTA GLOBAL PTE. LTD.
Course Reference: TGS-2025059057
S$175
Original: S$350
Save S$175

About This Course

AI-Powered Workplace Productivity is an intermediate-level course designed to equip learners with practical strategies, analytical tools, and AI-enhanced solutions to boost productivity in diverse work environments. Participants will explore core productivity concepts, examine performance-influencing factors, and apply structured methods such as 5S, Fishbone Diagrams, Flowcharts, and Pareto Analysis to identify inefficiencies and drive improvement. Leveraging AI platforms like ChatGPT, Perplexity, and Scite, learners will gain hands-on experience in automating data collection, interpreting performance metrics, generating insights, and drafting improvement reports. Through assignment-based learning and real-world workplace applications, this course prepares professionals in retail, office, service, or operations roles to make informed, data-driven decisions and lead continuous productivity improvement. It offers a future-ready, practical framework for those seeking to enhance efficiency, adaptability, and career value in the modern workplace.

What You'll Learn

• Understand the core concepts and business value of workplace productivity
• Recognize how internal operations and external conditions impact productivity levels
• Learn various types of productivity measurements and KPI benchmarking techniques
• Understand practical data collection methods including manual and digital options
• Gain awareness of structured tools (e.g., 5S, Fishbone, Pareto) for analysing workplace performance
• Explore how AI tools like ChatGPT, Perplexity, and Scite support productivity tracking, SOP development, insight generation, and reporting
• Understand the importance of monitoring workflow trends to drive continuous improvement

Entry Requirements

Basic ICT skills and working experience in any organization

Course Details

Duration 18 hours
Language English
Training Commitment Part Time
Total Enrolled New course
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