Configuring SIEM Security Operations with Sentinel — PickAClass
⏱ 3h 11m 📚 29 lessons

Configuring SIEM Security Operations with Sentinel

Learn to design, configure, and manage cloud-native SIEM operations using Sentinel to detect, investigate, and respond to modern security threats.

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About this course

Organizations today face increasingly sophisticated cyber threats, making centralized security monitoring more critical than ever. Implementing a cloud-native Security Information and Event Management (SIEM) system allows security teams to detect and mitigate incidents before they cause damage. This text-based course guides you through the process of setting up and managing security operations using Sentinel. You will gain the skills needed to connect data sources, write basic queries to hunt for threats, and establish automated response workflows to protect your organization's digital assets. What you'll learn: Understand foundational SIEM concepts, cloud security terminology, and architecture basics; Configure data connectors to ingest security logs from diverse cloud and on-premises sources; Apply Kusto Query Language (KQL) to search, filter, and analyze security event data; Create analytical rules to detect threats and generate actionable security alerts; Integrate zero-trust security principles into your monitoring and detection strategies; Configure automated playbooks to respond swiftly to detected security incidents. The course starts with essential security operations concepts and Sentinel architecture before guiding you through practical configuration steps, query writing, and automated threat response workflows. Designed for aspiring security analysts, IT administrators, and beginners new to cloud-native security operations, this course requires no prior SIEM experience. Start building your foundational security operations skills today.

Course contents

6 modules · 29 lessons · 3h 11m

1 Introduction to SIEM and Sentinel Architecture
Understand the core concepts of SIEM and the structure of Microsoft Sentinel.
5 lessons · 30 min
  1. What is a SIEM?
    Centralized security monitoring and the evolution of SIEM technology.
    5 min
  2. Cloud Security Terminology
    Defining key terms like SOC, MTTD, MTTR, and cloud-native security.
    6 min
  3. Sentinel Architecture Overview
    How Sentinel fits into the Azure ecosystem and its core components.
    7 min
  4. Setting Up Your Workspace
    Step-by-step guide to creating a Log Analytics workspace for Sentinel.
    7 min
  5. The Security Analyst's Role
    Understanding the daily workflow of a security professional using Sentinel.
    5 min
2 Data Ingestion and Connectors
Learn how to bring security data from various sources into Sentinel.
5 lessons · 32 min
  1. Understanding Data Connectors
    The mechanism of how Sentinel pulls or receives data from external sources.
    6 min
  2. Connecting Cloud Sources
    Configuring connectors for Azure Activity and Microsoft 365 logs.
    7 min
  3. Connecting On-Premises Sources
    Using the AMA agent to ingest logs from local servers and firewalls.
    7 min
  4. Log Ingestion Mechanics
    How logs are parsed and stored in tables within the workspace.
    6 min
  5. Verifying Data Flow
    Using the Data Connectors page to ensure logs are arriving correctly.
    6 min
3 Mastering Kusto Query Language (KQL)
Gain proficiency in querying and analyzing security data.
6 lessons · 43 min
  1. Introduction to KQL Syntax
    The basic structure of a KQL query: tables, pipes, and operators.
    6 min
  2. Searching and Filtering Data
    Using 'where' and 'search' operators to find specific security events.
    8 min
  3. Summarizing and Aggregating
    Using 'summarize' and 'count' to identify patterns and anomalies.
    8 min
  4. Visualizing Query Results
    Turning raw data into charts and graphs for better visibility.
    6 min
  5. Advanced Filtering Techniques
    Using 'project', 'extend', and 'join' to refine query output.
    7 min
  6. Practical KQL Lab
    A hands-on exercise to find a simulated failed login attempt.
    8 min
4 Threat Detection and Zero-Trust
Create rules to detect threats and align with modern security principles.
5 lessons · 33 min
  1. What are Analytical Rules?
    The logic behind turning log data into security incidents.
    6 min
  2. Creating Your First Alert Rule
    Configuring a scheduled query rule to detect suspicious activity.
    7 min
  3. Zero-Trust Principles in SIEM
    Applying 'never trust, always verify' to monitoring strategies.
    7 min
  4. Mapping Detections to Zero-Trust
    Using Sentinel to verify identities and device health continuously.
    6 min
  5. Tuning Rules for Actionable Alerts
    Reducing false positives to ensure alerts require real action.
    7 min
5 Automation and Incident Response
Build automated workflows to respond to threats instantly.
6 lessons · 40 min
  1. Introduction to Playbooks
    Using Azure Logic Apps to automate repetitive security tasks.
    6 min
  2. Logic Apps and Sentinel Integration
    Triggering automation based on specific incident alerts.
    7 min
  3. Building a Response Workflow
    Designing a step-by-step process for automated remediation.
    7 min
  4. Automated Incident Response
    Configuring actions like blocking an IP or disabling a compromised user.
    7 min
  5. Managing the Incident Lifecycle
    Assigning, investigating, and closing incidents in the Sentinel portal.
    6 min
  6. Case Study: Detection to Remediation
    A full walkthrough of an end-to-end threat response scenario.
    7 min
6 Course Wrap-up and Best Practices
Finalize the setup and review operational best practices.
2 lessons · 13 min
  1. Monitoring Dashboard Setup
    Creating Workbooks to visualize the overall security posture.
    7 min
  2. Best Practices for Security Ops
    Tips for maintaining a healthy and efficient Sentinel environment.
    6 min
Final project

The Sentinel Guardian Project

You will configure a complete security loop: connect a data source, write a KQL query to identify a specific threat, create an analytical rule for it, and attach an automated playbook to respond.

What you'll get

  • 📜 Certificate of completion
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  • 💬 Personal AI tutor
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  • ♾️ Lifetime access
    Come back anytime, no expiry
  • 📱 Phone or computer
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  • 💸 14-day refund
    No questions asked
  • ⚡ Short & focused
    3h 11m of practical content

Certificate of completion

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Performance detail
Coursework summary
Lessons completed 14 / 14
Practice questions 26 / 28
Assignments submitted 4 (avg 4.5 / 5)
Capstone project Reviewed — 4.6 / 5
Total practice 6.2 hrs
Performance benchmark
Cohort rank Top 12% of 1,625
Time to completion 11 days (median: 22)
Mastery score 91 / 100
Practice-question score 94%
Skill verification Verified Skill Path
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Issued under the academic standards of PickAClass. Skill levels reflect assessed performance against the course's competency rubric. This is an original credential of this platform.

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