Cybersecurity Engineer Training: From Beginner to Expert
The Cybersecurity Engineer: From Beginner to Expert training is a comprehensive, hands-on cybersecurity program designed to help learners build strong technical, practical, and job-ready security skills. This course covers the core foundations of cybersecurity, network security, cyberattacks, web application security, malware, Microsoft Entra ID, Microsoft Sentinel, threat hunting, security monitoring, automation, and modern identity protection.
Unlike many courses that focus only on theory, this training combines real-world cybersecurity concepts, practical labs, Microsoft security tools, cloud security, identity security, SIEM operations, and interview preparation. Learners will gain the knowledge required to understand how attacks happen, how to detect threats, how to secure systems, and how to respond effectively in a modern enterprise environment.
This course is ideal for beginners who want to enter cybersecurity, as well as IT professionals who want to grow into roles such as Cybersecurity Engineer, SOC Analyst, Security Consultant, Security Architect, IAM Engineer, Cloud Security Engineer, or Microsoft Security Engineer.
Foundations of Cybersecurity
You will begin by learning the core principles that guide cybersecurity. This includes the CIA Triad: Confidentiality, Integrity, and Availability, which forms the foundation of security design and risk management.
You will also learn about:
– Security governance
– Risk management
– Identity federation
– Authentication and authorization
– Cryptography
– Hashing
– Digital signatures
– Data protection
– Security policies and controls
This section helps you understand how organizations protect users, systems, applications, and sensitive information.
Network Security
This module introduces you to how computer networks operate and how attackers target network environments. You will learn the basics of networking and then move into key security concepts used to protect traffic and systems.
Topics include:
– Primer on computer networks
– IP addresses, DNS, ports, and protocols
– HTTPS
– TLS/SSL
– VPNs
– IPSec
– SSH
– Firewalls
– NAT
– Port scanning
– Network segmentation
– Secure remote access
By the end of this section, you will understand how network traffic flows, how systems communicate, and how security controls protect network infrastructure.
Cyber Attacks
This section explains common cyberattack techniques used by attackers and how security professionals detect, prevent, and respond to them.
You will learn about:
– Man-in-the-Middle attacks
– Denial-of-Service and Distributed Denial-of-Service attacks
– Password attacks
– Credential theft
– Social engineering
– Phishing
– Network-based attacks
– Reconnaissance techniques
– Attack indicators and warning signs
The goal is to help learners understand attacker behavior from a defensive and ethical perspective, so they can better protect organizations.
Web Application Security
Web applications are common targets for attackers. In this module, you will learn how web applications are built, how they are attacked, and how to secure them.
Topics include:
– Web application architecture
– Front-end and back-end components
– Databases and APIs
– SQL injection
– Blind SQL injection
– Cross-Site Scripting
– Input validation
– Secure coding principles
– Web application defense techniques
Learners will also complete controlled lab exercises to understand how web vulnerabilities work and how to prevent them safely and legally.
Malware
This module introduces different types of malicious software and how they impact systems, networks, and organizations.
You will learn about:
– Viruses
– Worms
– Trojans
– Spyware
– Adware
– Ransomware
– Logic bombs
– Rootkits
– Anti-malware protection
– Malware detection and prevention
– Endpoint security best practices
You will understand how malware spreads, how it hides, how it affects business operations, and how security teams respond to malware incidents.
Microsoft Entra ID and Identity Security
Identity is one of the most important areas in modern cybersecurity. By mastering Microsoft Entra ID, learners will develop expertise in identity and access management, which is critical for cloud security, Zero Trust, and enterprise protection.
This section covers:
– Basics of Azure
– Basics of identity and access management
– Microsoft security ecosystem
– Microsoft Entra and Entra ID
– User identities
– Groups and administrative units
– Password security
– Multi-factor authentication
– Conditional Access
– Authorization
– Role-Based Access Control
– Attribute-Based Access Control
– Hybrid identity
– Privileged Identity Management
– Microsoft Entra services
– Identity attacks and monitoring
– Entra ID security monitoring with Defender XDR
– Entra ID security monitoring with Microsoft Sentinel
– Entra ID plugin for Microsoft Security Copilot
Learners will understand how to secure identities, reduce account compromise risk, monitor suspicious sign-ins, and protect privileged accounts.
Microsoft Sentinel and SIEM Operations
Microsoft Sentinel is a leading cloud-native SIEM and SOAR platform used for threat detection, investigation, response, and security monitoring.
This course teaches Microsoft Sentinel from foundational setup to advanced security operations.
You will learn:
– Introduction to Microsoft Sentinel
– Sentinel architecture
– Sentinel deployment
– Log Analytics workspace
– Data connectors
– KQL basics
– Log ingestion
– Analytic rules
– Incident management
– Threat detection
– Threat hunting
– Threat intelligence
– User and Entity Behavior Analytics
– MITRE ATT&CK framework
– Automation and SOAR
– Workbooks
– Watchlists
– Notebooks
– Jupyter Notebooks with MSTICPy
– Cost optimization
– Infrastructure as Code for Sentinel
– Sentinel repositories
– Azure Lighthouse
– Azure Arc with Azure Monitor Agent
– Azure OpenAI and ChatGPT for security insights
By learning Microsoft Sentinel, learners will gain practical SIEM skills required for SOC operations, cloud security monitoring, and modern threat response.
Artificial Intelligence in Cybersecurity
This course also introduces how artificial intelligence can support cybersecurity operations. Learners will understand how AI can assist with security investigation, threat analysis, detection engineering, reporting, and security operations improvement.
Topics include:
– AI-assisted threat investigation
– Using AI to summarize security alerts
– AI for security reporting
– AI for detection logic support
– Azure OpenAI use cases in security operations
– ChatGPT use cases for cybersecurity productivity
– Responsible and secure use of AI in cybersecurity
This helps learners understand how AI can improve security operations while maintaining strong governance and responsible usage.
What support do we provide?
You are supported by a team of tutors, mentors and recruitment consultants who support you with your studies and coordinate your job opportunity. They will also encourage you to continue your studies, so you gain more qualifications and a stronger CV.
How Much Does It Cost And Duration?
Course Fee:
Domestic Student: $3,499 CAD
International Student: $3,499 CAD
Duration: 6 Months
During the period of this program, you will carryout over 50 Lab exercises.
No advanced cybersecurity experience is required. This course is designed to take learners from beginner level to advanced practical knowledge.
Recommended Requirements
– Learners should have:
– Basic computer knowledge
– Basic understanding of Windows or Linux operating systems
– Interest in cybersecurity, cloud security, or IT security
– A laptop or desktop computer
– Stable internet connection
– Willingness to practice hands-on labs
– Basic understanding of networking is helpful, but not mandatory
– Microsoft Azure account or trial account for cloud-based labs
– Basic curiosity about how cyberattacks, identity security, and security monitoring work
Technical Requirements for Labs
For practical exercises, learners may need:
– A computer with internet access
– Web browser
– Access to Microsoft Azure services
– Microsoft Entra ID tenant for identity labs
– Microsoft Sentinel access for SIEM labs
– Lab environment for safe cybersecurity practice
– Optional virtual machines for testing and learning
All offensive security demonstrations must be performed only in approved lab environments created for training.
By the end of this course, learners will be able to:
– Understand the core principles of cybersecurity
– Explain the CIA Triad and how it applies to real-world security
– Understand security governance, risk, and compliance basics
– Understand cryptography, hashing, digital signatures, and data protection
– Explain how networks, protocols, ports, and secure communications work
– Understand HTTPS, TLS/SSL, VPNs, IPSec, SSH, firewalls, NAT, and port scanning
– Identify common cyberattacks and explain how to defend against them
– Recognize phishing, social engineering, password attacks, and network attacks
– Understand web application architecture and common web vulnerabilities
– Explain SQL injection, blind SQL injection, and Cross-Site Scripting
– Understand malware types, including ransomware, Trojans, worms, spyware, and rootkits
– Use practical cybersecurity skills through hands-on labs
– Understand Microsoft Azure security basics
– Understand identity and access management concepts
– Manage users, groups, roles, and access in Microsoft Entra ID
– Configure and understand MFA, password security, and Conditional Access
– Understand hybrid identity and privileged access management
– Monitor identity threats using Microsoft security tools
– Understand Microsoft Defender XDR integration with identity monitoring
– Deploy and manage Microsoft Sentinel
– Connect data sources into Microsoft Sentinel
– Understand Log Analytics and KQL basics
– Build analytic rules and security detections
– Investigate incidents in Microsoft Sentinel
– Use threat intelligence in Sentinel
– Perform threat hunting using Sentinel
– Apply MITRE ATT&CK to SOC operations
– Create workbooks, watchlists, and reports
– Use automation and SOAR to improve incident response
– Understand advanced Sentinel concepts such as Infrastructure as Code, notebooks, and MSTICPy
– Understand how Azure OpenAI and ChatGPT can support security operations
– Prepare for cybersecurity interviews
– Build knowledge useful for certifications such as CompTIA Security+, CEH, Microsoft security certifications, and SOC-related career paths