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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

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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

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What's This Course About

Most organisations do not fail at AI because the technology is hard — they fail because nobody looked closely at the work first. Tools get bought, pilots get run, and six months later the same people are doing the same tasks the same way. Workplace Evaluation and Innovation for AI Adoption starts from the opposite end: you learn to examine how work actually flows through your team, where the time and cost really go, and which of those tasks AI can genuinely take on today.

In this hands-on 1-day course, you will work through a structured evaluation of your own workplace — mapping processes task by task, scoring each one for AI feasibility and business impact, and separating the automation opportunities that pay back quickly from the ones that look impressive but stall. From that evidence you will build an innovation roadmap: which workflows to redesign, what changes for the people doing them, what skills the team needs next, and how you will measure whether it worked.

You will leave with a completed workplace evaluation, a prioritised AI adoption roadmap and a change plan you can put in front of management — the difference between "we should use more AI" and a costed, sequenced case for doing it. Ideal for HR and L&D professionals, operations and department managers, business owners and transformation leads who are accountable for making AI adoption actually land.

Funding Options

No funding is available for this course

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

Course Fee

MYR1,190.00 (GST-exclusive)
MYR1,297.10 (GST-inclusive)

Course Date

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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 Understanding AI Adoption in the Workplace

  • What AI can and cannot do in day-to-day work
  • Why AI initiatives stall after the pilot
  • Readiness factors: data, process, people and leadership
  • Case studies of successful and failed adoption

Topic 2 Evaluating Your Workplace

  • Mapping processes and workflows task by task
  • Time, cost and pain-point analysis
  • Scoring tasks for AI feasibility and impact
  • Building your workplace evaluation report

Topic 3 Identifying Innovation Opportunities

  • Prioritising quick wins against strategic bets
  • Redesigning workflows around AI
  • Role and job impact: what changes for your people
  • Risk, governance and responsible use

Topic 4 Building the Adoption Roadmap

  • Sequencing initiatives over 90 days and beyond
  • Skills gaps and reskilling pathways
  • Change management and staff communication
  • Measuring adoption, ROI and course correction

Course Info

Promotion Code

Your will get 10% discount voucher for 2nd course onwards if you write us a Google review.

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 can download and install the following software:

Hardware: Windows and Mac Laptops

Job Roles

Job Roles

  • Power Automate Developer
  • Business Process Analyst
  • Workflow Automation Engineer
  • RPA Developer
  • IT Support Specialist
  • Digital Transformation Specialist
  • Process Improvement Manager
  • Business Applications Consultant
  • Microsoft 365 Administrator
  • Power Platform Consultant
  • Data Integration Specialist
  • IT Project Manager
  • Solutions Architect
  • Cloud Solutions Architect
  • Operations Manager
  • Systems Integrator
  • AI Automation Specialist
  • Enterprise Application Developer
  • Citizen Developer
  • Software Developer

Trainers

Trainers

Dr. Mak Wai Keong has a Doctor of Education (EdD.) and has completed his Masters of Science (MSc) degree in Management of Technology in 2000 at the National University of Singapore. In 1994, he obtained his Bachelor of Science (Merit) in Chemistry and Mathematics from the National University of Singapore. Upon graduation with a BSc degree, he started his career in the area of training and multimedia development, and set up a company in 1997 to focus on multimedia training development for the telecommunications and semi-conductor industries. Being passionate in research and training, and educating the youth, he then moved to the academic and research domains as a lecturer at Temasek and Ngee Ann Polytechnic. His research capacity started at SIM University as a Research Associate, and National Institute of Education (Centre for Research in Pedagogy and Practices (CRPP). He was able to apply his experience in Learning Technology areas at the Singapore Polytechnic and Yale-NUS College where he was the Associate Director for Educational Resources & Technology. Dr. Mak last appointment was at the Institute for Adult Learning, Innovation Lab (iN.LAB) as the Senior Learning Innovator before starting out on his own. He curated 4 major programs for iN.LAB, namely InnovByte, InnovLogue, InnovJam and InnovPlus. He is author and co-author of numerous international journal and conference papers. Currently, he is the Group CEO of Edtrix Group – comprises Edtrix Solutions Pte. Ltd., Edtrix Innovation Pte. Ltd., Edtrix Enterprise Pte. Lte. and SmartzWerkz Pte. Ltd. His work involves research and development in Learner (and Gamer) Profiling (a psychometric tool that purports one’s learning preference) through Block Chain, Artificial Intelligence (Data, Textual, Auditory and Video [DTAV] Analytics), Supervised, Unsupervised and Reinforcement Learning. He is also into Conscious and Unconscious Learning through Games. He is currently working on various AI projects with Lee Kong Chian School of Medicine, GSK Singapore, as well as consultancy work with SIM GE and ITE College East. He has also extended his skills and knowledge in this area through various consultancy works. Edtrix Solutions is a reseller and distributor of iSpringSolutions software in Singapore

Review

Customer Reviews (4)

will recommend Review by Course Participant/Trainee
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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
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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
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better refreshment

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

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