Agentic AI for Job Redesign

Training Provider: NTUC LEARNINGHUB PTE. LTD.
Course Reference: TGS-2026066066
S$750
Original: S$1,500
Save S$750

About This Course

As AI and agentic systems reshape how work gets done, the ability to redesign jobs has become a defining capability for HR and people managers. In this hands-on workshop, you will learn to lead job redesign end-to-end: from making the strategic case and spotting redesign opportunities, to analysing a real role’s tasks, data and skills, to designing a future-state human + AI role and configuring a simple, governed AI agent for one agent-suitable task. You will leave with a practical Job Redesign Action Plan for a real role you bring to class, the judgement to keep redesign fair, safe and human-centred, and a credential aligned to the IHRP AI Fluency in Job Redesign Skills Badge (10B, Proficient). Ultimately, you will be equipped to turn AI disruption into a structured, responsible workforce-transformation advantage for your organisation.

This intensive 2-day workshop provides a practical, end-to-end methodology for human + AI Workforce Planning and Deployment, focusing on the development and implementation of plans to support and meet the organisation's strategic and operational needs. Moving beyond basic AI awareness, the programme empowers HR and people managers to build upon a foundation of AI/IT Strategy, enabling participants to plan, develop and communicate effective inward- and outward-facing AI/IT strategies, solutions and action plans driven by the understanding of the business' future needs and long-term strategic direction. The course concludes with a consolidated Job Redesign Action Plan, ensuring that their Workforce Planning and Deployment strategies are communicated with clarity and impact to drive long-term organisational success.

What You'll Learn

• LO1: Analyse business priorities, workforce needs and operating-model changes to establish the strategic case and priorities for AI-informed job redesign. Skills highlighted: IT Strategy; Qualitative Research.
• LO2: Explain key concepts in job redesign and human+AI work design, including job redesign principles, core job dimensions, AI-assisted work, agent-assisted work, AI-automated work and human+AI collaboration. Skills highlighted: IT Strategy.
• LO3: Analyse job roles by decomposing tasks, decisions, knowledge requirements, data inputs and work interactions to identify redesign opportunities and AI-agent-suitable tasks. Skills highlighted: Qualitative Research.
• LO4: Apply job redesign methods and AI-enabled tools to redesign a current job role into a future-state human+AI role profile, including configuring and testing a simple governed AI agent for one suitable task. Skills highlighted: IT Strategy.
• LO5: Evaluate AI-related risks, ethical implications and governance considerations in redesigned roles, including fairness, transparency, accountability, human oversight and employee impact. Skills highlighted: IT Strategy.
• LO6: Develop a reskilling plan for the redesigned role by identifying skills that may be replaced, augmented or elevated by AI. Skills highlighted: IT Strategy; Qualitative Research.
• LO7: Design an adoption approach for the redesigned role, covering stakeholder engagement, communication, change management and workforce readiness. Skills highlighted: Qualitative Research.
• LO8: Create a Job Redesign Action Plan that consolidates the analysis and defines how redesign outcomes will be evaluated using productivity, job-quality, skills, adoption and organisational-impact measures. Skills highlighted: IT Strategy; Qualitative Research.
• LO9: Demonstrate competency by completing an assessment that requires learners to analyse a job redesign scenario, evaluate AI-enabled redesign options, justify recommendation

Entry Requirements

Participants are required to have the ability to converse, read and write in English. Minimum Lower Secondary Education or WPLN Level 3 and above with at least 1 year of working experience with Microsoft Office software

Course Details

Duration 16 hours
Language English
Training Commitment Part Time
Total Enrolled New course
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