WSQ AI-Driven Digital Transformation Course

Training Provider: EQUINET ACADEMY PRIVATE LIMITED
Course Reference: TGS-2025057230
S$495
Original: S$990
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About This Course

This course introduces learners to the concept and scope of digital transformation within a business context. It is designed for individuals who want to understand how digital tools and strategies can enhance organisational performance, streamline operations, and improve customer engagement.

Participants will learn how to assess their organisation’s digital maturity and explore practical approaches to support or lead transformation initiatives. It also examines key success factors such as leadership, culture, marketing alignment, and cross-functional collaboration to ensure digital initiatives are effectively integrated with business goals.

What You'll Learn

In this Digital Transformation Course, trainees will learn:
- How to create a digital transformation strategy tailored to their company’s existing resources and technologies to achieve operational excellence
- How to create a digital transformation repository using AI tools
- How to use AI to conduct requirements workshops to identify pain points and gather business needs
- How to translate business needs into IT requirements using AI
- How to successfully evaluate and select the right software solution providers based on key evaluation criteria using AI
- How to manage and implement end-to-end AI-driven digital transformation projects successfully

Entry Requirements

● Minimum age: 18
● Years of working experience: 1
● Possess basic ICT knowledge such as browsing the web, opening of folders and documents, and basic navigation of software interface
● Motivated learners
● Able to interact with fellow peers
● Proficient in spoken English with at least a secondary education qualification or equivalent
● This course is targeted to PMEs (Professionals, Managers, and Executives) who are in marketing roles or intending to get a job in marketing.

Course Details

Duration 16 hours
Language English
Training Commitment Part Time
Total Enrolled 27 students
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