PWM-Retail: Apply Generative AI Tools for Productivity Improvement

Training Provider: BELLS Institute of Higher Learning Pte. Ltd.
Course Reference: TGS-2024046178
S$540
Original: S$1,080
Save S$540

About This Course

This course is only for the low wage workers in the PWM Retail Sector .

In this program catered for learners undergoing training for upskilling in the progressive wage model (PWM) scheme.

Learners will learn to enhance productivity by combining the power of Generative AI with automation tools such as Zapier and Make.com

Learners will learn how to apply the the steps needed to -

1. Understand and identifying areas for improvement.

2. Analyze factors that affect productivity and apply Generative AI with Zapier or Make , to enhance data performance and speed up work processes that are tedious and repetitive.

Learners will work Zapier and Make.com which are automation tools capable of integrating and automating workflows with Generative AI

Other Generative AI tools are covered with the sole premise of using it as the hub for which automation tools such as Zapier and Make.com work with.

This course prepares learners within the context of the retail sector , to apply advanced productivity strategies in professional settings, leveraging the latest in AI technology and automation .

What You'll Learn

Learning Outcome 1:
Apply concepts of productivity to identify potential areas for productivity measurement and improvement

Learning Outcome 2:
Analyse factors affecting productivity improvement while applying Generative AI techniques to enhance productivity performance data

Learning Outcome 3:
Develop a productivity improvement plan which includes key performance indicators

LO4. Implement Generative AI tools and techniques for its improvement

LO5. Utilize types of productivity measurement strategies to review enhancements

Entry Requirements

Working Experience:
• Minimum 2 years of working experience

Academic Requirements:
• Lower Secondary WPLN Level 4

Course Details

Duration 23 hours
Language English
Training Commitment Part Time
Total Enrolled 8,181 students
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