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.
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