Page / 03Trainer

Learn.Build.Share.

I want to understand Data and AI deeply enough to build with it, explain it clearly, and make it useful to someone else.

Teaching has become part of that process.

Engagements: 3
Organizations: SUK Perak · Universiti Putra Malaysia · AEM Energy Solutions Sdn Bhd

02 /Engagements

Sessions andengagements.

001 /Structured training

Cloud Essentials untuk SUK Perak

Two days of Google Cloud training for SUK Perak, from cloud foundations to AI services.

Date: 5 to 6 Aug 2026
Role: Trainer
Organization: SUK Perak
With: Google Malaysia, Awantec
Format: Face-to-face, 2 days: theory, hands-on and capstone / consultation
Audience: Technical and management participants from relevant SUK Perak digital and related units.

01Audience
Technical and management participants from relevant SUK Perak digital and related units.
02Concept
Theory across the Google Cloud ecosystem, from compute, storage and networking to governance and AI services.
03Hands-on
Hands-on work alongside the theory, across the two days.
04Application
A capstone and a consultation session.

//Curriculum · 18 topics in 5 themes

Foundations: Google Cloud ecosystem, Compute, Storage, Cloud SQL, VPC
Hybrid and resilience: Hybrid Cloud, Cloud VPN, High Availability, Disaster Recovery, Database migration
Governance and cost: Landing Zone, IAM, Governance, FinOps
AI: Vertex AI, Document AI, AI innovation
Capstone: Capstone

002 /Technical sharing

Google AI Build 2025

Gave students exposure to Google's Data and AI technologies and showed what they can explore and build.

Date: 2025
Role: Speaker / Technical Sharing
Organization: Universiti Putra Malaysia
Format: Online
Audience: UPM students

Topics

BigQuery ML
Vertex AI
Practical AI use cases

003 /Internal knowledge sharing

AEM Internal Technical Training

Recurring internal sessions for colleagues, from Power BI and SQL to Python, Git and Google Cloud AI.

Role: Internal Technical Trainer / Knowledge Sharing
Organization: AEM Energy Solutions Sdn Bhd
Format: Internal technical training / knowledge sharing
Audience: Internal

Sessions · 6 topics

Power BI Fundamentals & Dashboard Development
Power Query for Data Cleaning & Transformation
Python for Data Analysis & Automation
SQL Fundamentals & Data Querying
Introduction to Google Cloud AI & Vertex AI
Git & GitHub Fundamentals

03 /Approach

How I approachtechnical sharing.

I learn best when I can connect a concept to something tangible. I try to teach the same way: explain what something is, show how it works, let people work through it, then connect it to a real use case.

01Understand
What it is, and why it exists.
02Demonstrate
How it works, shown on something real.
03Practise
People work through it themselves.
04Apply
Connect it to a real use case.

04 /Contact

Training ortechnical sharing?

For training or technical sharing related to Data, Cloud, or AI, you can reach me through the contact page.

Get in touch