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NTU Executive Certificate in Agentic AI Leadership- June 2026

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  • NTU Executive Certificate in Agentic AI Leadership- June 2026
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  • Self-Study Assignment 3.4: Think & Act💡 Build a Real AI Work Assistant
Course Outline

Module 3: The Leap to Agentic AI: From Generation to Action

This module has 12 videos, 2 self-study assignment, 2 quizzes, 1 discussion, 2 readings. You will need approximately 4-6 hours to complete this module.

  • Module 3: Introduction and Instructions
  • Video 1 [06:18] : Module Introduction
  • Watch: The Agentic Future: Insights from Mark Zuckerberg
  • Video 2 [05:55] : What is Agentic AI
  • Video 3 [13:44] : Turning Ideas into Product Design with AI Agents: Demo
  • Video 4 [09:48] : Manus AI: Demo
  • Video 5 [10:04] : AI and the Collapse of Time
  • Reading: From Software to Agentic AI Systems
  • Video 6 [06:31]: The Leap to Agentic AI
  • Video 7 [06:49] : Agentic AI vs AI Agents
  • Video 8 [08:28] : Workflow Redesign of HR Onboarding Process: Case Study
  • Watch: AI Agents for Shopping
  • Video 9 [06:44] : Why AI Agents Matter
  • Video 10 [03:31] : AI Agent Workflow in n8n
  • Video 11 [04:04] : Future of AI Agents
  • Self-Study Quiz 3.1. Think & Apply💡 Strategic Leadership in the Age of Agentic AI
  • Video 12 [04:20] : Final Thoughts
  • Self-Study Quiz 3.2: Think & Apply💡Understanding Agentic AI Systems
  • Self-Study Assignment 3.3: Think & Act 💡 From Friction to AI Agent Workflow
  • Reading: The Agent Design Challenge
  • Self-Study Assignment 3.4: Think & Act💡 Build a Real AI Work Assistant
  • Discussion Board 3.5: Think & Share 💡 From Tool Usage to AI Partnership
    • Summary and Video Transcripts: Module 3 ⭐
    • Professor Alvin's Recommendation for Further Learning: Module 3
    • Module 3: Q&A Discussion Board
    • Module 3: Feedback Survey






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/ Modules / Self-Study Assignment 3.4: Thi...

Self-Study Assignment 3.4: Think & Act💡 Build a Real AI Work Assistant

  • Due Wednesday by 2:59pm
  • Points None
  • Available after Jul 22 at 8:30am
  1.  Module 3: Introduction and Instructions (Completed)
  2.  Video 1 [06:18] : Module Introduction (Completed)
  3.  Watch: The Agentic Future: Insights from Mark Zuckerberg (Completed)
  4.  Video 2 [05:55] : What is Agentic AI (Completed)
  5.  Video 3 [13:44] : Turning Ideas into Product Design with AI Agents: Demo (Completed)
  6.  Video 4 [09:48] : Manus AI: Demo (Completed)
  7.  Video 5 [10:04] : AI and the Collapse of Time (Completed)
  8.  Reading: From Software to Agentic AI Systems (Completed)
  9.  Video 6 [06:31]: The Leap to Agentic AI (Completed)
  10.  Video 7 [06:49] : Agentic AI vs AI Agents (Completed)
  11.  Video 8 [08:28] : Workflow Redesign of HR Onboarding Process: Case Study (Completed)
  12.  Watch: AI Agents for Shopping (Completed)
  13.  Video 9 [06:44] : Why AI Agents Matter (Completed)
  14.  Video 10 [03:31] : AI Agent Workflow in n8n (Completed)
  15.  Video 11 [04:04] : Future of AI Agents (Completed)
  16.  Self-Study Quiz 3.1. Think & Apply💡 Strategic Leadership in the Age of Agentic AI ((Must submit the Quiz))
  17.  Video 12 [04:20] : Final Thoughts (Completed)
  18.  Self-Study Quiz 3.2: Think & Apply💡Understanding Agentic AI Systems ((Must submit the Quiz))
  19.  Self-Study Assignment 3.3: Think & Act 💡 From Friction to AI Agent Workflow (Completed)
  20.  Reading: The Agent Design Challenge (Completed)
  21.  Self-Study Assignment 3.4: Think & Act💡 Build a Real AI Work Assistant (Completed)
  22.  Discussion Board 3.5: Think & Share 💡 From Tool Usage to AI Partnership ((Not yet completed))
  23.  Summary and Video Transcripts: Module 3 ⭐ ((Must view in order to complete this module item))
  24.  Professor Alvin's Recommendation for Further Learning: Module 3 ((Must view in order to complete this module item))
  25.  Module 3: Q&A Discussion Board ((Not yet completed))
  26.  Module 3: Feedback Survey ((Must submit the Quiz))

Module Outcomes.pngLearning Objectives Addressed

  • Describe how multi-agent systems collaborate to complete complex tasks within enterprise workflows.
  • Apply basic workflow orchestration tools to conceptualise simple agent-based processes.
  • Translate common workplace inefficiencies into potential agentic workflow opportunities.

Experience how AI can turn a real work problem into a usable assistant in minutes and understand where leadership judgment is still needed.

Step 1: Choose a Real Work Problem 

Think of one problem from your work that:

  • Happens regularly
  • Requires decisions, interpretation or information
  • Causes delays, escalations or inconsistent outcomes

Avoid choosing:

  • Vague ideas
  • Innovation buzzwords
  • "Nice-to-have" apps

Write your problem using this sentence:

We want to help [who] do [what] better.

Examples

  • We want to help frontline supervisors interpret SOPs correctly.
  • We want to help managers prepare fair performance conversations.
  • We want to help leaders make sense of performance reports.

Your task: Write one problem statement.

Step 2: Define Your Assistant 

Answer these three questions only.

Who will use it?

  • Who is the user?

What should it improve?

  • What should become easier, faster or clearer?

What goes in and what comes out?

  • What will the user ask?
  • What should the assistant provide?

Remember:

  • Keep your answers simple.
  • Do not list features.
  • Do not use technical terms.

Your task: Write your answers to all three questions.

Step 3: Build Your Assistant in Lovable 

  1. Open Lovable.
  2. Type one clear prompt describing your assistant.

Example prompts

"Build an internal assistant for managers to prepare performance conversations, summarize feedback and suggest next steps aligned to policy."

"Build a frontline assistant that answers SOP questions and suggests next actions based on context."

  1. Let Lovable generate the app.
  2. Try using it straight away.
  3. Do not spend time polishing or making multiple changes.

Your task: Build the first version of your AI work assistant.

Step 4: Test and Improve Once 

Ask your assistant 2–3 realistic questions.

Then note:

  • One thing that works well
  • One thing that feels risky or incorrect

Update your prompt one time only and regenerate the assistant.

Stop after this first improvement.

Your task: Observe

  • One thing that worked well
  • One thing that needs improvement
  • One change you made to your prompt

Estimated Duration: 30 minutes

Note:
This is a practice activity and will not be graded or impact your programme completion. However, we strongly encourage participation for a more holistic learning experience.

1785313799 07/29/2026 02:59pm
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