Microsoft Defender Certification

Inquire now

The Defender Certification Training Course is a comprehensive cybersecurity program designed to provide participants with the knowledge and practical skills required to protect enterprise environments using the Microsoft Defender security ecosystem.

The course covers core capabilities across Microsoft Defender technologies, including endpoint protection, identity protection, email and collaboration security, cloud application security, vulnerability management, threat detection, incident investigation, and automated response. Participants will learn how Microsoft Defender integrates with the broader Microsoft security environment to provide centralized visibility and coordinated protection against modern cyber threats.

The training is suitable for cybersecurity professionals preparing for Microsoft security certification pathways or professionals responsible for implementing, administering, monitoring, and operating Microsoft Defender solutions in enterprise environments. certification pathways.

 

 

 

Duration 5 Days – 35 hrs.

 

Objectives

  • Understand the Microsoft Defender security ecosystem and its major components.
  • Explain modern cybersecurity threats and Microsoft’s approach to threat protection.
  • Configure and manage Microsoft Defender for Endpoint.
  • Implement endpoint security policies and attack surface reduction controls.
  • Configure endpoint detection and response capabilities.
  • Perform vulnerability and exposure management.
  • Protect identities and investigate identity-based threats.
  • Understand Microsoft Defender for Identity capabilities.
  • Configure protection for email and collaboration environments.
  • Understand Microsoft Defender for Office 365 security capabilities.
  • Identify threats involving cloud applications and services.
  • Understand Microsoft Defender for Cloud Apps.
  • Use Microsoft Defender XDR for centralized threat detection and investigation.
  • Investigate security alerts, incidents, users, devices, and other affected assets.
  • Perform advanced threat hunting using security data.
  • Apply automated investigation and response capabilities.
  • Understand threat intelligence and indicators of compromise.
  • Strengthen an organization’s overall security posture using Microsoft Defender.
  • Apply Defender capabilities to common enterprise cybersecurity scenarios.
  • Prepare for further study toward relevant Microsoft security certification pathways.

 

Target Audience

  • Cybersecurity Analysts
  • Security Operations Center (SOC) Analysts
  • Security Engineers
  • Security Administrators
  • Microsoft 365 Administrators
  • Endpoint Administrators
  • Systems Administrators
  • Network and Infrastructure Administrators
  • Incident Response Professionals
  • Threat Hunters
  • IT Security Specialists
  • Cloud Security Professionals
  • IT Professionals responsible for Microsoft security environments
  • Professionals preparing for Microsoft security certification examinations

 

Prerequisites

  • Basic knowledge of cybersecurity concepts and terminology.
  • Familiarity with common security threats, vulnerabilities, and attack techniques.
  • Basic understanding of Microsoft Windows and endpoint administration.
  • General understanding of Microsoft 365 and cloud services.
  • Basic knowledge of identity and access management concepts.
  • Familiarity with networking concepts such as TCP/IP, DNS, firewalls, and network security.
  • Basic understanding of Microsoft Entra ID is beneficial.

 

Course Outline

Day 1 – Microsoft Defender and Modern Threat Protection

Module 1: Cybersecurity and Modern Threat Landscape

  • Current cybersecurity threat landscape
  • Common attack vectors and techniques
  • Malware, ransomware, phishing, and credential attacks
  • Identity-based and endpoint-based threats
  • Principles of Zero Trust security
  • Defense-in-depth security strategy

Module 2: Introduction to Microsoft Defender

  • Microsoft security ecosystem overview
  • Microsoft Defender architecture
  • Understanding Microsoft Defender XDR
  • Defender security components and services
  • Security signals and telemetry
  • Integration across endpoints, identities, email, applications, and cloud environments

Module 3: Microsoft Defender Portal

  • Navigating the Defender portal
  • Security dashboards
  • Alerts and incidents
  • Assets and inventories
  • Reports and security information
  • Security recommendations
  • Understanding security roles and permissions

Module 4: Security Posture and Exposure Management

  • Understanding security posture
  • Identifying organizational exposure
  • Security recommendations
  • Vulnerability prioritization
  • Reducing attack surfaces
  • Tracking remediation activities


Day 2 – Microsoft Defender for Endpoint

Module 5: Introduction to Microsoft Defender for Endpoint

  • Defender for Endpoint architecture
  • Endpoint security capabilities
  • Device onboarding concepts
  • Supported endpoints
  • Device inventory
  • Endpoint security configuration

Module 6: Endpoint Protection and Attack Surface Reduction

  • Antivirus and antimalware protection
  • Cloud-delivered protection
  • Attack surface reduction rules
  • Network protection
  • Web protection
  • Controlled folder access
  • Device control concepts
  • Security policy configuration

Module 7: Endpoint Detection and Response

  • Understanding EDR
  • Endpoint behavioral monitoring
  • Alert generation
  • Device timelines
  • Process and event investigation
  • Evidence collection
  • Device isolation
  • Response actions

Module 8: Vulnerability Management

  • Discovering vulnerabilities
  • Software inventory
  • Security recommendations
  • Vulnerability prioritization
  • Remediation workflows
  • Monitoring remediation progress


Day 3 – Identity, Email, Collaboration, and Cloud Application Protection

Module 9: Microsoft Defender for Identity

  • Identity threat protection concepts
  • Defender for Identity architecture
  • Identity security monitoring
  • Detecting suspicious identity activities
  • Compromised account investigation
  • Identity-related alerts
  • Lateral movement and credential attack detection

Module 10: Microsoft Defender for Office 365

  • Email and collaboration security
  • Anti-phishing protection
  • Anti-malware protection
  • Safe Attachments
  • Safe Links
  • Threat protection policies
  • Email investigation
  • Campaign and phishing attack analysis

Module 11: Microsoft Defender for Cloud Apps

  • Cloud application security concepts
  • Cloud application discovery
  • Application risk assessment
  • User and application monitoring
  • Cloud security policies
  • Detecting anomalous behavior
  • Managing risky cloud applications

Module 12: Coordinated Threat Protection

  • Correlating endpoint, identity, email, and application signals
  • Cross-domain attack detection
  • Understanding attack chains
  • Identifying compromised users and devices
  • Coordinated response across Microsoft Defender services


Day 4 – Microsoft Defender XDR, Incident Investigation, and Response

Module 13: Microsoft Defender XDR

  • Defender XDR architecture
  • Unified security operations
  • Alerts and incident correlation
  • Incident queues
  • Incident prioritization
  • Understanding affected assets
  • Attack story visualization

Module 14: Security Incident Investigation

  • Reviewing security incidents
  • Analyzing alerts
  • Investigating users
  • Investigating devices
  • Investigating mailboxes and applications
  • Reviewing evidence and entities
  • Determining incident scope and impact

Module 15: Incident Response

  • Security response processes
  • Device response actions
  • User response actions
  • File investigation and remediation
  • Device isolation
  • Blocking malicious indicators
  • Incident containment
  • Recovery considerations

Module 16: Automated Investigation and Response

  • Automated investigation concepts
  • Investigation packages
  • Automated remediation
  • Reviewing pending actions
  • Approving or rejecting remediation actions
  • Automation levels
  • Improving SOC operational efficiency

 

Day 5 – Threat Hunting, Threat Intelligence, and Certification Preparation

Module 17: Advanced Hunting

  • Introduction to threat hunting
  • Advanced hunting architecture
  • Understanding Defender security data
  • Introduction to Kusto Query Language concepts
  • Querying security events
  • Hunting across devices and users
  • Investigating suspicious activities
  • Building reusable hunting queries

Module 18: Threat Intelligence and Indicators

  • Threat intelligence fundamentals
  • Indicators of compromise
  • Managing security indicators
  • IP, URL, domain, certificate, and file indicators
  • Threat intelligence investigation
  • Applying intelligence to security operations

Module 19: Security Operations and Defender Best Practices

  • Security monitoring best practices
  • Alert prioritization
  • Incident management practices
  • Reducing alert fatigue
  • Security policy optimization
  • Improving endpoint and identity security posture
  • Defender operational considerations
  • Continuous security improvement

Module 20: Integrated Microsoft Defender Security Scenarios

  • Phishing-to-endpoint compromise scenario
  • Identity compromise scenario
  • Malware and ransomware investigation
  • Suspicious endpoint activity investigation
  • Cross-domain incident analysis
  • Threat containment and remediation
  • Security posture improvement scenarios

Module 21: Certification Review and Preparation

  • Review of Microsoft Defender concepts
  • Review of major Defender security capabilities
  • Key security operations concepts
  • Endpoint, identity, email, and application protection review
  • Incident investigation and response review
  • Threat hunting concepts
  • Certification-style scenario review
  • Recommended areas for further study

Inquire now

Best selling courses

The Data Analytics with DAX, Python, SQL, and Business Intelligence Tools Training Course provides participants with practical knowledge and skills for collecting, preparing, analyzing, modeling, and visualizing data to support informed business decision-making. The course combines key data analytics technologies and techniques, including Python, SQL, DAX (Data Analysis Expressions), Power BI, data modeling, data transformation,...

The Project Management – SDLC (Software Project Management: The Complete Course) Training Course is a comprehensive program designed to equip project managers, software development leaders, business analysts, product owners, and IT professionals with the knowledge and practical skills required to successfully manage software development projects throughout the entire Software Development Life Cycle (SDLC). This course...

Warehouse Operations and Inventory Management Training Course     Duration 2 Days – 14 hrs.   Overview   This course provides a practical understanding of warehouse operations and inventory management for personnel who supervise, review, or audit warehouse processes. It covers the movement of goods from receiving through dispatch, with emphasis on warehouse layout, storage systems, picking strategies, stock rotation, inventory accuracy, and operational controls.   Participants will learn to identify process weaknesses, investigate stock discrepancies, reduce shrinkage, and interpret warehouse productivity indicators. The course connects day-to-day warehouse activities with the records, controls, and performance measures needed for effective supervision and auditing.   Objectives  

  • Explain warehouse processes and their impact on inventory accuracy and service performance.
  • Evaluate warehouse layouts, storage systems, and product locations.
  • Identify appropriate controls for receiving, put-away, storage, picking, and dispatch.
  • Apply First-In, First-Out (FIFO) and First-Expired, First-Out (FEFO) principles.
  • Compare picking strategies based on order characteristics and operational requirements.
  • Identify causes of inventory discrepancies and recommend corrective actions.
  • Develop a cycle counting approach based on inventory value, movement, and risk.
  • Recognize sources of shrinkage and recommend preventive and detective controls.
  • Interpret warehouse productivity and inventory performance KPIs.
  • Review warehouse processes using supporting records, observations, and control evidence.
        Target Audience  
  • Warehouse supervisors, team leaders, and managers.
  • Inventory controllers and stock control personnel.
  • Logistics and distribution supervisors.
  • Internal auditors and operational compliance personnel.
  • Supply chain and operations professionals.
  • Personnel responsible for reviewing warehouse controls and performance.
  Prerequisites  
  • Basic familiarity with warehouse, logistics, or inventory activities.
  • General understanding of business processes and operational documentation.
  • Basic numerical skills, including percentages and simple calculations.
  • Basic spreadsheet skills are helpful.
  • No prior experience with a specific Warehouse Management System (WMS) is required.
   

Course Outline

  Day 1: Warehouse Processes, Layout, and Storage Controls Module 1: Warehouse Operations and Process Controls  
  • Warehouse roles within the supply chain.
  • End-to-end flow: receiving, put-away, storage, replenishment, picking, packing, and dispatch.
  • Physical stock movement and corresponding system transactions.
  • Responsibilities, authorization, and segregation of duties.
  • Common operational weaknesses and audit evidence.
  Module 2: Warehouse Layout and Storage Systems  
  • Functional zones, movement paths, and space utilization.
  • Receiving, storage, picking, staging, and dispatch areas.
  • Storage options: floor stacking, shelving, pallet racking, and bin storage.
  • Fixed and dynamic location systems.
  • Product slotting based on movement, size, handling needs, and compatibility.
  • Layout bottlenecks and their effects on productivity and inventory control.
  Module 3: Receiving and Put-Away  
  • Purchase orders, delivery documents, and expected receipts.
  • Quantity, condition, and item identification checks.
  • Recording shortages, overages, damage, and discrepancies.
  • Controls for acceptance, quarantine, and release.
  • Put-away rules and location confirmation.
  • Traceability through labels, barcodes, lot numbers, and serial numbers.
  • Timely recording of receipts and stock movements.
  Module 4: Storage, Stock Rotation, and Replenishment  
  • Storage discipline and location integrity.
  • FIFO and FEFO principles, applications, and limitations.
  • Batch, lot, and expiry-date management.
  • Controls for slow-moving, obsolete, damaged, and expired stock.
  • Replenishment of picking locations.
  • Supervision and review of stock rotation compliance.
    Day 2: Order Fulfillment and Inventory Accuracy Module 5: Picking Strategies and Order Fulfillment  
  • Discrete, batch, zone, and wave picking.
  • Selecting picking strategies for different order profiles.
  • Pick paths, location sequencing, and travel reduction.
  • Replenishment coordination and stock availability.
  • Picking verification and error prevention.
  • Packing, staging, and dispatch confirmation.
  • Handling short picks, substitutions, cancellations, and returns.
  Module 6: Inventory Records and Accuracy Controls  
  • Item master data, units of measure, and location records.
  • On-hand, available, allocated, and quarantined stock.
  • Transaction controls for receipts, transfers, issues, returns, and adjustments.
  • Common causes of physical and system stock mismatches.
  • Barcode scanning and WMS control points.
  • Inventory reconciliation and supporting documentation.
  • Measuring inventory accuracy and interpreting discrepancies.
  Module 7: Cycle Counting and Physical Inventory  
  • Cycle counting versus full physical inventory.
  • ABC classification and risk-based count priorities.
  • Count frequency based on value, movement, and discrepancy history.
  • Count preparation, blind counting, and movement controls.
  • Recounts, variance investigation, and adjustment approval.
  • Root cause analysis and corrective action follow-up.
  • Reviewing the effectiveness of the counting program.
  Module 8: Shrinkage Reduction and Inventory Protection  
  • Sources of shrinkage: loss, damage, theft, misplacement, and recording errors.
  • Access controls and accountability for stock movements.
  • Controls for high-value and sensitive inventory.
  • Returns, write-offs, scrap, and disposal controls.
  • Exception reporting and unusual transaction patterns.
  • Investigating recurring losses and unexplained adjustments.
  • Preventive and detective controls for shrinkage reduction.
    Day 3: Performance Management, Process Review, and Improvement Module 9: Warehouse Productivity and Inventory KPIs  
  • Receiving productivity and dock-to-stock time.
  • Put-away productivity and replenishment performance.
  • Picking productivity and order accuracy.
  • Inventory accuracy and cycle count variance.
  • Space utilization and storage capacity.
  • Shrinkage, damage, and expiry indicators.
  • Defining KPI formulas, data sources, and reporting boundaries.
  • Interpreting trends while balancing speed, accuracy, and service.
      Module 10: Supervising and Auditing Warehouse Processes  
  • Process mapping and identification of critical control points.
  • Reviewing procedures against actual warehouse practices.
  • Tracing transactions from documents to systems and physical stock.
  • Reviewing approvals, access rights, and segregation of duties.
  • Identifying control gaps and recurring process exceptions.
  • Documenting findings with clear supporting evidence.
  • Prioritizing corrective actions and tracking closure.
  Module 11: Warehouse Improvement Planning  
  • Identifying bottlenecks, unnecessary movement, and rework.
  • Improving layout, slotting, and picking arrangements.
  • Addressing inventory discrepancy root causes.
  • Standardizing transaction recording and exception handling.
  • Assigning improvement owners and measurable targets.
  • Monitoring results and sustaining operational improvements.
  Module 12: Capstone — Warehouse Operations and Inventory Improvement Plan  
  • Review a warehouse scenario containing layout, transaction, inventory, and performance information.
  • Identify weaknesses across receiving, put-away, storage, picking, and dispatch.
  • Recommend appropriate FIFO or FEFO controls.
  • Develop a cycle counting and inventory reconciliation plan.
  • Propose controls to reduce shrinkage and improve traceability.
  • Select relevant KPIs and define their calculation and reporting requirements.
  • Produce a prioritized improvement plan with responsibilities and expected outcomes.
 

This course develops the foundational knowledge and practical skills needed to configure, administer, and maintain the ServiceNow platform. Participants explore platform navigation, instance configuration, application collaboration, self-service, automation, database management, security, and configuration migration. The proposed five-day duration accommodates foundational learning, configuration activities, and an integrated capstone. Duration 5 Days – 35 hrs.   Objectives...

Duration: 5 days – 35 hrs   Overview The “SOC Network and Threat Detection and Analysis” training course is designed to equip Security Operations Center (SOC) analysts and IT security professionals with the skills and knowledge required to detect, analyze, and respond to network threats effectively. This comprehensive course covers essential topics such as threat...

Duration 1 day – 7 hrs   Overview   This 1-day training builds upon basic warehouse operations knowledge and introduces key logistics concepts involved in the movement and coordination of goods—especially wet and dry food items—within and outside the warehouse. Participants will explore transport logistics, inbound and outbound coordination, documentation practices, and cold chain considerations,...

Duration 2 days – 14 hrs   Overview   This hands-on course provides an introduction to Splunk, a powerful platform for searching, monitoring, and analyzing machine-generated data. The training focuses on how developers and QA professionals can leverage Splunk to gain insights from logs and metrics, improve application observability, detect anomalies, and support test validation....

Duration 3 days – 21 hrs   Overview.   This course is designed for fresh graduates aspiring to build a career in Data Science. It introduces the fundamentals of data science, focusing on data analysis, visualization, and basic machine learning concepts using Python. The course provides hands-on practice with real-world datasets, equipping participants with the...

// BG EARTH WHEN NOT PLAYING

We use cookies on our website to personalize your experience by storing your preferences and recognizing repeat visits. By clicking “Accept”, you agree to the use of all cookies. You can also select “Cookie Settings” to adjust your preferences and provide more specific consent. Cookie Policy