Course Information

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

Additional Information

Duration

2 months (Full Time)

Assessment

3 hours online assessment after each module

Class (No of teacher : student): 1:20

Intake

  • 3 Nov 2025 to 29 Sep 2026
  • 4 May 2026 to 26 June 2026
  • 2 Jan 2026 to 2 Mar 2026
  • 2 Mar 2026 to 27 Apr 2026

Enrolment Requirement

  • Age: 21 years old and above
  • Language Proficiency: At least C6 for GCE "O" Level English
  • Academic: At least C6 for GCE "O" Level in any 3 subjects

Graduation Requirement

  • Attendance: 75%
  • Assessment: Passed

SC-5002 Secure Azure Services and Workloads with Microsoft Defender for Cloud Regulatory Compliance Controls

Course Code: C217

What's This Course About

This course provides a comprehensive guide to securing Azure services and workloads using Microsoft Defender for Cloud. Learn to implement regulatory compliance controls, configure network security groups, enable just-in-time virtual machine access, and secure Azure Key Vault with best practices. Gain hands-on experience in deploying Azure Monitor Agent, collecting security data, and enhancing cloud security with Microsoft’s compliance benchmarks. Understand how to protect cloud resources, enforce security policies, and monitor virtual machines for potential threats.

Through practical exercises, you will configure Defender for Cloud, create Log Analytics workspaces, and apply advanced security measures to safeguard Azure environments. This course is designed for cloud security professionals, IT administrators, and compliance officers looking to enhance their skills in securing Azure workloads. By the end of this training, you will be equipped to strengthen cloud security, improve regulatory compliance, and mitigate risks using Microsoft Defender for Cloud.

WSQ Funding

Full Fee $350.00 Before GST
GST $31.50 9% of fee
Baseline Nett $206.50 SG/PR age 21+ · 50% funded
MCES / SME Nett $136.50 SG age 40+ · 70% funded
Funding and Grant Applications

No funding is available for this course.

Course Fee

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

Course Date

Course Time

* 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 Examine Defender for Cloud regulatory compliance standards

Regulatory compliance standards in Defender for Cloud

Microsoft cloud security benchmark in Defender for Cloud

Improve your regulatory compliance in Defender for Cloud

Topic 2 Enable Defender for Cloud on your Azure subscription

Connect your Azure subscriptions

Exercise - Configuring Microsoft Defender for Cloud for Enhanced Protection

Topic 3 Filter network traffic with a network security group using the Azure portal

Azure resource group

Azure Virtual Network

How network security groups filter network traffic

Application security groups

Create a virtual network infrastructure

Topic 4 Create a Log Analytics workspace

Log Analytics workspace

Create a Log Analytics workspace

Topic 5 Collect guest operating system monitoring data from Azure and hybrid virtual machines using Azure Monitor Agent

Deploy the Azure Monitor Agent

Collect data with Azure Monitor Agent

Create a data collection rule and install the Azure Monitor Agent

Topic 6 Explore just-in-time virtual machine access

Understand just-in-time virtual machine access

Enable just-in-time access on virtual machines

Enable just-in-time access on virtual machines

Topic 7 Configure Azure Key Vault networking settings

Azure Key Vault basic concepts

Best practices for Azure Key Vault

Azure Key Vault network security

Configure Azure Key Vault firewalls and virtual networks

Configure Key Vault networking settings

Azure Key Vault soft delete overview

Virtual network service endpoints for Azure Key Vault

Enable soft delete in Azure Key Vault

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

  • Cloud Security Engineer
  • Azure Security Engineer
  • Cybersecurity Analyst
  • Cloud Compliance Specialist
  • Security Operations Center (SOC) Analyst
  • Information Security Officer
  • IT Security Administrator
  • Microsoft Defender for Cloud Specialist
  • Security Architect
  • Compliance and Risk Manager
  • IT Governance Specialist
  • Cloud Infrastructure Engineer
  • Security Threat Analyst
  • Enterprise Security Engineer
  • Azure Solutions Architect
  • Network Security Engineer
  • Identity and Access Management (IAM) Specialist
  • Virtualization Security Expert
  • Incident Response Specialist
  • Security Automation Engineer

Trainers

Trainers

Richard Wan

Richard Wan is an ACLP-certified lecturer and software consultant with over 40 years of experience in software and hardware development, spanning AI, computer vision, and machine learning. He began his programming career with 8-bit computing in the late 1970s and went on to earn his M.Sc. in Electrical Engineering (Computer Vision) from the University of Wisconsin–Madison. His professional contributions include co-founding multiple high-tech companies, pioneering digital publishing technologies, and leading AI-driven software development in healthcare, defense, and manufacturing.

Richard has taught a wide range of technical courses, including machine learning with Scikit-Learn, deep learning with TensorFlow and PyTorch, and computer vision with OpenCV. In predictive analytics, he emphasizes the use of PyTorch for building deep learning models that can forecast trends, detect anomalies, and classify outcomes. His teaching approach blends decades of hands-on development with structured, beginner-friendly instruction, equipping learners with practical skills to transform data into prediction.

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