Course Information

  • Sessions 1 day
  • Duration 8 hrs
  • Level Intermediate
  • Assessment NA

Venue

12 Woodlands Square #07-85/86/87 Woods Square Tower 1, Singapore 737715. 5 mins walk from Woodlands (NS9) MRT station.

The venue is disabled-friendly.

Prerequisite

Learners need basic familiarity with generative AI tools. No programming is needed.

Certification

  • Certificate of Completion from Tertiary Infotech Academy Pte Ltd - Upon completing the programme, participants will receive a Certificate of Completion stating the programme title, date of completion and their full name, for submitting 8 CPD hours to TAEPP (Institute for Adult Learning).

Work Redesign for Managing AI Agents

Course Code: C1313
TAEPP CPD 8 Hrs by IAL
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What's This Course About

AI agents are moving from chat assistants to digital workers that can research, draft, triage and execute bounded tasks inside business processes. This is a work redesign challenge, not a technology challenge. Work has to be redesigned end to end, roles re-bundled around judgment and assurance, and employees coached to supervise and improve agent output.

This course builds practical capability to redesign work for an agent-enabled operating model. Learners allocate the tasks of an end to end workflow across AI-only, human-plus-AI and human-only modes, and draft an Agent Operating Agreement for a production agent with a named owner, a defined autonomy level and least privilege permissions. Learners integrate ethical principles into AI projects and ensure compliance with them, and drive the creation of the governance framework for responsible AI development, covering non-human identity, approval gates, traceability, evaluation and change control. Learners plan a 90 day pilot rollout with outcome based metrics. Learners then identify learning needs in the workplace, department or division, using a learning needs analysis approach to analyse and assess capability and performance gaps within the organisation, and design role specific AI collaboration profiles, on the job training blueprints and coaching frameworks.

Industry Relevance and Career Impact: Organisations across sectors are placing AI agents into live workflows and need people who can redesign the work, set the controls and build capability. Learners can take the artefacts produced here into their own organisation to lead the redesign.

This course is pitched at intermediate level for adult educators, learning and development practitioners, workplace learning facilitators, training managers and heads of department who design or manage work processes that will use AI agents. Learners need basic familiarity with generative AI tools. No programming needed.

TAEPP CPD Programme: This programme is approved and whitelisted on the NAE Registry by the Institute for Adult Learning (IAL) as a TAEPP CPD programme for 8 CPD hours, under Domain and Dimension 3.4 Workplace Learning. The whitelisting period is 6 Nov 2026 to 8 Nov 2028. Participants who complete the programme receive a certificate stating the programme title, date of completion and their full name, for submitting their CPD hours to TAEPP.

Why Take This Course?

  • Hands-On Learning Learn by doing. Every topic is practised hands-on, so you leave with skills you can use at work straight away.
  • Live Coaching Experienced instructors coach you live, answer your questions and guide you step by step.
  • Free Post-Course Consultation Stuck after class? Message your trainer any time for guidance as you apply what you have learned.
  • Always-Updated Materials Materials are refreshed to stay relevant. Log in to our LMS any time to get the latest version.

Funding Options

No funding is available for this course

Course Fee

$500.00 (GST-exclusive)
$545.00 (GST-inclusive)

Course Date

Course Time

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Additional Note

Please bring your own laptop for hands-on training. If you don't have laptop, we can provide spare laptop for training use.

Post-Course Support

  • We provide free consultation related to the subject matter after the course.
  • Please email your queries to enquiry@tertiaryinfotech.com and we will forward your queries to the subject matter experts.

Cancellation & Reschedule Policy

  • You can register your interest without upfront payment. There is no penalty for withdrawal of the course before the class commences.
  • We reserve the right to cancel or re-schedule the course due to unforeseen circumstances. If the course is cancelled, we will refund 100% for any paid amount.
  • Note the venue of the training is subject to changes due to availability of the classroom.

Course Details

Course Details

What You'll Learn

Topic 1: From Task-Based to Outcome-Based Work Allocation

Differentiate task based people management from outcome based allocation of work across humans and AI agents, using quality, cycle time, risk, service and cost as the measures of outcome.

Topic 2: Workflow Decomposition and Human-AI Task Allocation

Determine the allocation of tasks in a decomposed end to end workflow across AI-only, human-plus-AI and human-only modes using a structured allocation model, justified against a stated business outcome.

Topic 3: The Agent Operating Agreement

Develop an Agent Operating Agreement for a production AI agent covering business outcome, named owner, job to be done, autonomy level, permissions, escalations, quality controls, observability, fallback and cost control.

Topic 4: Governance and Security Controls for Agent-Enabled Workflows

Apply governance and security controls, including distinct non-human identity, least privilege, approval gates, traceability, evaluation, resilience and change control, to an agent-enabled workflow design.

Topic 5: Planning a 90 Day Pilot Rollout

Plan a 90 day pilot rollout for an agent-enabled workflow across the select and map, build controlled collaboration, and pilot and measure stages, with outcome based metrics including acceptance rate, rework rate, escalation and override rate and supervision time.

Topic 6: AI Collaboration Profiles and Workplace Learning Interventions

Design role specific AI collaboration profiles and workplace learning interventions, including on the job training blueprints and coaching frameworks, that re-bundle roles around judgment, exception handling and control assurance.

Course Info

Minimum Entry Requirement

Knowledge and Skills

  • Basic familiarity with generative AI tools
  • No programming needed
  • Minimum 3 GCE ‘O’ Levels Passes including English or WPL Level 5 (Average of Reading, Listening, Speaking & Writing Scores)

Attitude

  • Positive Learning Attitude
  • Enthusiastic Learner

Experience

  • Minimum of 1 year of working experience.

Target Age Group: 18-65 years old

Minimum Software/Hardware Requirement

Software:

You will need the following for this course:

  • A modern web browser (Chrome, Edge or Safari)
  • An account on a generative AI assistant such as ChatGPT, Claude, Gemini or Microsoft Copilot (free tier is sufficient)

Hardware: Windows PC or Mac laptop

Job Roles

Job Roles

  • Adult Educator
  • Learning and Development Practitioner
  • Workplace Learning Facilitator
  • Training Manager
  • Head of Department
  • HR Business Partner
  • Operations Manager
  • Process Improvement Manager
  • Digital Transformation Lead
  • AI Programme Manager

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