About Course

AI systems can now reason, plan and act towards a goal without a person directing each step. That capability moves the conversation from what AI can generate to what it can be trusted to do, and it puts a new set of decisions in front of senior leaders: which workflows to hand over, what boundaries to set, and how to build the organisation around them.

This programme gives senior and technology leaders a structured, non-technical grounding in agentic AI and its implications for strategy, operating models and risk. It is built around six modules covering the agentic paradigm shift, architecting the agentic enterprise, the economics of autonomy, governance, risk and security, leadership and workforce transformation, and a strategy capstone. 

Case studies are drawn from Google DeepMind AlphaFold, Vertex AI Agent Builder, the Jules coding agent, the Agent-to-Agent (A2A) protocol and Google Cloud supply-chain applications show how organisations are architecting agentic systems in practice. In the capstone, teams design and present a 12-month adoption roadmap for their own organisation, covering the target use case and its projected return, the governance framework, the workforce transition plan and the underlying technology stack. No technical or programming background is required.

Delivery is classroom-based across three days, with two two-hour sessions each day for a total of 12 hours. Every session combines a lecture and case study, a facilitated workshop, and structured reflection.

Skills you’ll gain
Business Management
Artificial Intelligence
AI and Machine Learning

Who Should Attend

Senior executives and business unit or functional heads
Technology and digital leaders, including CIOs, CTOs, CDOs and Heads of Innovation or Transformation
Strategy leaders responsible for evaluating agentic AI investment
Governance, risk and compliance leaders accountable for AI adoption
 
Minimum Entry Requirements
  • Familiarity with general business strategy and organisational decision-making is beneficial
  • No technical or programming background is required

     


The Agentic AI Series

This course is part of a collection of Agentic AI courses curated by SITLEARN, spanning finance, legal, human resources, marketing, operations, and risk and security. Each course imparts agentic AI foundations customised to the specific function. View the full collection here.

Learning Outcomes

By the end of this course, learners will be able to:

  • Distinguish agentic AI from generative AI and traditional automation, and explain what independent reasoning, planning and action change for the enterprise.
     
  • Articulate the strategic and competitive implications of autonomous agents for their own operating model.
     
  • Describe the anatomy of a multi-agent system, including how agents are orchestrated, coordinated and bounded.
     
  • Design a multi-agent workflow for a target business process, drawing on enterprise reference examples.
     
  • Build the business case for autonomy, modelling value creation and projected return for a high-value use case.
     
  • Evaluate governance, risk and security exposure arising from the attack surface that autonomous agents introduce.
     
  • Set human-in-the-loop triggers and audit mechanisms that keep agent behaviour within defined boundaries.
     
  • Assess workforce and reskilling implications, including how performance measurement changes under human-agent collaboration.
     
  • Design a 12-month adoption roadmap covering use case, governance framework, workforce transition and technology stack.
     
  • Present and defend a strategic roadmap to a leadership audience.

Teaching Team

Ian Loe
Ian Loe Wai Yew

Trainer

View profile

Course Details

Schedule

Course RunDatesTime
December 20267 - 9 Dec 202610:00 am – 3:00 pm

 

    Topics

    The Agentic Paradigm Shift 

    • From Generative to Agentic AI
    • Deep-Dive Case Study: Google DeepMind and Vertex AI
    • The "Agentic vs. Generative" Audit

    Architecting the Agentic Enterprise

    • The Anatomy of a Multi-Agent System
    • Deep-Dive Case Study: Supply Chain Orchestration with Google Cloud
    • Designing a Multi-Agent Workflow
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    Topics

    The Economics of Autonomy

    • Rethinking Value Creation in the Agentic Era
    • Deep-Dive Case Study: The ROI of Google's Internal Agentic Deployments
    • Building the Agentic Business Case

    Governance, Risk and Security

    • The New Attack Surface
    • Deep-Dive Case Study: Google's Agent-to-Agent (A2A) Protocol
    • The Rogue Agent Crisis Simulation
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    Topics

    Leadership and Workforce Transformation

    • The Reskilling Imperative
    • Deep-Dive Case Study: Human-Agent Collaboration with Google Jules
    • The Performance Review Redesign

    Architecting Your Agentic AI Strategy

    • Building the Agentic AI Centre of Excellence
    • Deep-Dive Case Study: Scaling AI with Google Cloud
    • Capstone Presentations: The 12-Month Roadmap
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    Certificate and Assessment

    A Certificate of Attainment will be issued to participants who:

    • Attend at least 75% of the course
    • Undertake and pass non-credit bearing assessment during the course

    Participants who meet the attendance requirement but do not pass the assessment will receive a Certificate of Participation.

    Mode of Assessment: Group Presentation

    Fee Structure

    The full fee for this course is S$3,248.20.

    Note: All fees above include GST. GST applies to individuals and Singapore-registered companies.

    For Organisations
    Interested in this course for your business or team?
    Tailored to your organisation's specific training needs, we can help you design and develop custom courses to grow key talent and build specialist expertise to meet the future demands of work.

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