Course Information

  • Sessions 2 days
  • Duration 15 hrs
  • 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

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.

AI Transformation with Microsoft Copilot

Course Code: C776
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What's This Course About

AI Transformation with Microsoft Copilot is a practical course for executives and senior managers. Use Microsoft 365 Copilot in everyday business work, design a no-code Copilot Workflow and build a focused Copilot agent. The emphasis is better decisions, safe handoffs and measurable outcomes.

In Copilot Chat, Word, PowerPoint, Excel, Outlook and Teams, participants turn a synthetic service case into sourced briefs, analysis, meeting actions and leadership messages. They check claims and keep a human owner for consequential decisions.

Participants describe a repeatable service process to Copilot Workflows, map its trigger, steps, approval and exception path, then test normal and failure cases. They use Copilot Agent Builder to define a bounded purpose, instructions, approved knowledge and starter prompts, and test the agent before any sharing. Feature availability depends on the organisation's Microsoft 365 tenant; an offline design and test path is provided.

Leaders finish with a pilot cohort, adoption plan, quality and value scorecard, and a board-ready go, hold or stop recommendation. No coding is required. The course is informed by Microsoft AB-730 and AB-731 themes; it is not Microsoft exam preparation.

Funding Options

No funding is available for this course.

For WSQ funding, please check out the details at WSQ - AI Transformation with Microsoft Copilot

Course Fee

$700.00 (GST-exclusive)
$763.00 (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: Use Microsoft 365 Copilot for everyday business work

Topic 2: Design safe Copilot Workflows and human controls

Topic 3: Create and test bounded Copilot agents

Topic 4: Lead adoption, measure value and scale outcomes

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: 18-65 years old

Minimum Software/Hardware Requirement

Software:

TBD

Hardware: Window or Mac Laptops

Job Roles

Job Roles

  • Managers and Directors
  • PMETs

Trainers

Trainers

Dwight Nuwan Fonseka is Head of Data Science at Plano Pte. Ltd. and an ACLP-certified trainer with deep expertise in data analytics, machine learning, and AI applications. He has extensive hands-on experience developing predictive models, RShiny dashboards, and deep learning solutions using R, Python, TensorFlow, and Keras. With a strong professional background in healthcare, finance, and customer analytics, Dwight brings an applied perspective to teaching AI, focusing on both the opportunities and risks of emerging technologies.

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