• Home
  • Workplace Evaluation and Innovation for AI Adoption

PL-7002 Create and Manage Automated Processes by using Power Automate

Course Information

  • Sessions 1 day
  • Duration 7.5 hrs
  • Level Beginner
  • 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.

Course Brochure

Download Course Brochure

Prerequisite

This course is for beginners. No prerequisite is required.

Certification

  • Certificate of Achievement from Tertiary Infotech Academy Pte Ltd - Upon meeting at least 75% attendance and passing the assessment(s), participants will receive a Certificate of Achievement from Tertiary Infotech Academy Pte Ltd.

Workplace Evaluation and Innovation for AI Adoption

Course Code: C903

4 Review(s) | Add Your Review

Share

What's This Course About

Workplace Evaluation and Innovation for AI Adoption shows leaders and managers how to make AI adoption succeed by looking closely at the work first. Many organisations buy AI tools and run pilots, only to find months later that little has changed; lasting gains come from evaluating how work is really done, identifying genuine opportunities and building a practical adoption roadmap. The course is designed for managers, team leads, HR and transformation professionals, and business owners responsible for introducing AI in their organisation.

You will start by understanding AI adoption in the workplace, exploring what generative AI and AI agents can realistically do today, why AI initiatives stall and the conditions that make adoption succeed. Next you will evaluate your workplace, mapping processes, tasks, pain points, data and skills, and assessing readiness across people, process, technology and culture. You will then identify innovation opportunities, prioritising use cases by value, feasibility and risk, and designing small experiments to test them.

The final topic covers building the adoption roadmap, including setting goals and measures, sequencing initiatives, planning training and change management, putting governance and responsible AI guardrails in place, and engaging employees so they become champions rather than sceptics. Practical templates and exercises let you apply each step to your own organisation. By the end, you will have a clear, evidence-based plan to adopt AI in your workplace and turn it into measurable improvements.

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

For WSQ funding, please checkout the details at WSQ - Agentic AI for HR

Course Fee

$350.00 (GST-exclusive)
$381.50 (GST-inclusive)

Course Date

* Required Fields

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: Understanding AI Adoption in the Workplace

Topic 2: Evaluating Your Workplace

Topic 3: Identifying Innovation Opportunities

Topic 4: Building the Adoption Roadmap

Course Info

Minimum Entry Requirement

Knowledge and Skills

  • Able to operate using computer functions
  • 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: 21-65 years old

Minimum Software/Hardware Requirement

Software:

You will need the following for this course:

  • A web browser such as Google Chrome, Microsoft Edge or Safari – free
  • Access to the course materials provided in class

Hardware: Windows PC or Mac laptop

Trainers

Trainers

Dr. Alfred Ang spends much of his time helping organisations move AI from experimentation into everyday operations, and he has done the same inside his own company. As Managing Director, CIO, CTO and Chief Instructional Designer of Tertiary Infotech Academy Pte Ltd and founder of Tertiary Courses, he leads agentic AI adoption and digital transformation initiatives that automate customer service, internal workflows, analytics and decision support, and as a full-stack AI developer and Agentic AI solution architect he builds many of those systems himself. His workplace learning credentials are unusually deep for a technologist: he holds a Graduate Certificate in Workplace Learning from IAL, serves as an Associate Adult Educator with IAL, and earned an Advanced Certificate in Integrating Sustainability for a Future Ready Business from SMU and a Certificate in AI Ethics and Governance (Senior Professional) from NTU, alongside PMP, ITIL and CSM certification and a PhD in Electrical Engineering from NUS. Several of the more than 300 public repositories on his GitHub address AI adoption directly: workplacelearning is a workplace learning website for AI transformation and job redesign with n8n automation; AICoaching is a business pitch and six-scenario coaching simulator for redesigning jobs around accountable AI-agent ownership; and sipoc is a guided SIPOC and process map builder that tags pain points and generates swimlanes and handoff tables. His company's own learning management, HR and course-registration platforms, also on his GitHub, put that thinking into daily use.

Workplace Evaluation and Innovation for AI Adoption reflects a conviction he states plainly: lasting gains come from understanding the work before buying the tool. Dr. Ang opens with understanding AI adoption in the workplace, covering what generative AI and AI agents can realistically do today and why so many pilots stall without changing how people work. In evaluating your workplace, learners map how work is actually done, using process mapping techniques similar to those in his SIPOC builder to expose handoffs, delays and pain points. Identifying innovation opportunities then asks which of those tasks AI should automate, which it should assist and which should stay with people, with attention to accountability and the redesign of roles rather than just the addition of software. The course ends with building the adoption roadmap, sequencing quick wins and larger initiatives, assigning ownership, planning for training and change management, and defining measures that show whether adoption is working. His AI ethics and governance training ensures that risk, fairness and human oversight are built into the roadmap from the start. As an ACTA-certified trainer and DACE-certified curriculum developer, he runs the course as a structured workshop for managers, team leads, HR and transformation professionals and business owners, who leave with an evaluation of their own workplace and a practical roadmap ready to present. He also helps learners prepare the business case and stakeholder messages that persuade leadership to back the roadmap. To see the AI adoption tools he builds, view his GitHub portfolio at https://github.com/alfredang and connect with him on LinkedIn at https://www.linkedin.com/in/angchewhoe/

Dr. Mak Wai Keong is the Group CEO of Edtrix Group, where his work involves research and development in learner and gamer profiling through blockchain and artificial intelligence, including data, textual, auditory and video analytics and supervised, unsupervised and reinforcement learning. He has worked on AI projects with Lee Kong Chian School of Medicine and GSK Singapore. He holds a Doctor of Education, an MSc in Management of Technology (2000) and a BSc (Merit) in Chemistry and Mathematics (1994) from NUS, and was previously Associate Director for Educational Resources and Technology at Yale-NUS College and Senior Learning Innovator at the Institute for Adult Learning's iN.LAB.

In Workplace Evaluation and Innovation for AI Adoption, Dr. Mak draws on his AI projects, consultancy work and the four innovation programmes he curated for iN.LAB, namely InnovByte, InnovLogue, InnovJam and InnovPlus. Learners first build an understanding of AI adoption in the workplace and what generative AI and AI agents can realistically do today. They then evaluate how work in their own workplace is really done, identify genuine innovation opportunities and build a practical adoption roadmap. His experience in research and learning innovation helps leaders avoid pilots that change little, so participants leave with a grounded plan for lasting AI adoption.

Review

Customer Reviews (4)

will recommend Review by Course Participant/Trainee
1. Do you find the course meet your expectation?
2. Do you find the trainer knowledgeable in this subject?
3. How do you find the training environment
Instructor is willing to take time to answer questions. Class is easy to understand (Posted on 6/16/2021)
will recommend Review by Course Participant/Trainee
1. Do you find the course meet your expectation?
2. Do you find the trainer knowledgeable in this subject?
3. How do you find the training environment
Non related to course, the toilet is badly maintain by the landlord of the building (Posted on 3/23/2021)
will recommend Review by Course Participant/Trainee
1. Do you find the course meet your expectation?
2. Do you find the trainer knowledgeable in this subject?
3. How do you find the training environment
better refreshment

welcoming the student before the start of the class (Posted on 10/21/2020)
might consider Review by Course Participant/Trainee
1. Do you find the course meet your expectation?
2. Do you find the trainer knowledgeable in this subject?
3. How do you find the training environment
Provide course notes of the steps we did in class (Posted on 12/17/2019)

Write Your Own Review

You're reviewing: Workplace Evaluation and Innovation for AI Adoption

How do you rate this product? *

  1 star 2 stars 3 stars 4 stars 5 stars
1. Do you find the course meet your expectation?
2. Do you find the trainer knowledgeable in this subject?
3. How do you find the training environment