Workplace Transformation with Generative AI
About This Course
This intermediate-level course equips learners with practical competencies to apply generative AI technologies in workplace environments to improve operational efficiency, customer engagement, and business decision-making. Learners will develop skills in Generative AI Model Evaluation to assess the suitability and effectiveness of AI solutions, Customer Relationship Management to enhance AI-enabled customer interactions, and the use of Data Analysis to analyse data, interpret and identify meaningful patterns and trends, and derive actionable insights that support evidence-based decision-making and improve organisational performance. Learners will also apply Responsible AI and Generative AI Practices to ensure the ethical, secure, and appropriate use of AI technologies. The course supports organisations adopting AI-enabled transformation and developing workforce capabilities across business operations, customer experience, innovation, and digital transformation.
What You'll Learn
By the end of this course, participants will be able to:
• Identify types of artificial intelligence and their applications in workplace operations.
• Apply AI technologies to support customer engagement activities.
• Develop effective prompts to improve AI-generated outputs
• Analyse AI-generated insights to support decision-making.
• Assess ethical considerations and risks associated with AI adoption
• Evaluate opportunities for AI-enabled service innovation and workplace transformation
Entry Requirements
Learners are expected to:
Have completed GCE “N” Level or in the absence, be able to comprehend , read, write and speak English and with Numeracy at WSQ Workplace Literacy (WPLN) Level 5
No prior technical qualifications or experience is required but learners are expected to have:
Basic computer literacy
Basic Internet Usage skills
Learners who do not qualify in terms of education, literacy and/or numeracy but have at least 1 year of working experience in any industry will be admitted on a case-by-case basis, subject to approval by ACPL Management Representative (MR).