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Digital Transformation for Small and Medium Enterprises

Course Information

  • Sessions 1 day
  • Duration 7.5 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.

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Certification

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

Digital Transformation for Small and Medium Enterprises

Course Code: C776

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What's This Course About

The "Digital Transformation for Small and Medium Enterprises" course illuminates the seismic shifts caused by digital technology in the business landscape. It offers a comprehensive exploration of the transformative and technological forces currently molding the future of enterprises. Through this structured learning path, participants will gain a profound understanding of how these dynamics can be harnessed, steering their businesses towards enduring success.

This course meticulously covers the principal components of digital transformation. From discerning the most impactful technological trends to strategizing their application, learners will be equipped with the knowledge and tools essential for propelling their SMEs forward in an increasingly digital world. Position your business at the forefront of change with insights from Tertiary Courses.

Funding Options

No funding is available to this course.

Course Fee

$350.00 (GST-exclusive)
$381.50 (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: Industrial Revolution 4.0

The four industrial revolution

Elements of Change

The Core Technologies

Impact of Revolution

Preparing and Responding to Change

Topic 2: Digital Transformation

The Digital Opportunity

Critical Factors to Consider

Create Your Own Transformation Plan

Topic 3: Emerging Technologies

The Technology Landscape

Use Cases of RPA, AI, Blockchain, IoT

The Top Down Mandate for Change

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

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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