Agentic AI and Automation for Workplace Efficiency

Training Provider: OOM PTE. LTD.
Course Reference: TGS-2026065630
S$400
Original: S$800
Save S$400

About This Course

This course is designed for working professionals seeking to build a practical understanding of AI automation and its applications within their organisational context. The programme equips learners to identify AI technologies and industry best practices relevant to their organisation, propose AI applications as innovation initiatives through workflow analysis and technology-solution identification, and make recommendations for change based on benchmarking current practices and improvement opportunities. Learners will further develop the ability to apply AI ethics and governance principles in drafting responsible AI usage guidelines for AI tool recommendations. Through exposure to no-code AI tools, learners gain hands-on experience applying AI automation to a real workplace scenario, positioning them to drive innovation, sustainable productivity and operational excellence within their own teams.

What You'll Learn

Upon completion of this course, learners will be able to:

- Identify AI technologies and industry best practices relevant to their organisations

- Propose AI applications as innovation initiatives based on organisational workflow analysis and suitable technology solutions

- Make recommendations for change based on benchmarking current practices and improvement opportunities

- Apply AI ethics and governance principles in drafting responsible AI usage guidelines for AI tool recommendations

Entry Requirements

● Able to listen, speak, read, and write English at a proficiency level equivalent to Employability Skills System Workplace Literacy (WPL) Level 5
● Use numeracy skills equivalent to the Employability Skills System Workplace Numeracy (WPN) Level 5
● Possess basic computer literacy, including navigating a personal computer operating system and internet skills.

Course Details

Duration 9 hours
Language English
Training Commitment Part Time
Total Enrolled New course
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