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AI for Cybersecurity: Threat Detection and SOC Operations

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A premium, hands-on course on applying artificial intelligence to defensive cybersecurity operations, updated for 2026. This is a blue-team course: you learn to use AI and machine learning to protect the organization you are authorized to defend, not to attack anyone. You will understand the modern SOC and how AI augments SIEM platforms such as Splunk, Microsoft Sentinel and Elastic Security; build anomaly detection and UEBA baselines; map detections to the MITRE ATT&CK framework; run AI-assisted threat hunting; cut false positives with intelligent triage and correlation; automate response safely with SOAR and human-in-the-loop approvals; analyse logs, network traffic, malware and phishing with ML; enrich and operationalise threat intelligence; prioritise vulnerabilities by real risk; work effectively with analyst copilots such as Microsoft Security Copilot; and understand how adversaries misuse AI so you can defend against it. Throughout, the course keeps a hard focus on human oversight, GDPR-compliant handling of security logs and personal data, responsible disclosure, and safe automation. Includes a comprehensive final assessment.

10 modules
27 lessons
~6h duration
v1.0 version
AI professor An AI agent built into every lesson — ask questions and get instant answers based on the course content
Hands-on exercises Real scenarios and practical exercises directly on the platform, with instant feedback
Progress & analytics A personal dashboard with statistics, streaks, scores and structured learning paths
Interactive AI quizzes Questions generated by AI and adapted to your level, with detailed explanations
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What you will learn

Practical skills you gain by completing this course

AI in Cybersecurity 2026 and the Threat Landscape
The Modern SOC and AI-Augmented SIEM
Anomaly Detection and UEBA
Threat Detection and Threat Hunting with AI
Alert Triage and Reducing False Positives
SOAR Automation and Safe Response
Detecting Threats: Logs, Network, Malware and Phishing
Threat Intelligence and Vulnerability Management
Copilots, Adversarial AI and Governance
Final Quiz — AI for Cybersecurity and SOC Operations

Who it is for

Developers Software engineers Solution architects CTOs / Tech Leads Data Scientists ML Engineers DevOps Engineers

Recommended level

Advanced

Assumes hands-on experience with AI and complex scenarios.

Updates

Regular

Content updated regularly with the latest practices from the industry.

Category

IT & Engineering

A technical course for IT professionals — available with individual course access or the IT Pro / All Access bundle.

Advanced level

Hands-on experience required

Assumes practical experience with AI. Covers complex scenarios and advanced strategies.

Always up to date

Up-to-date content

The course is updated regularly with the latest information, tools and practices from the industry.

Practical and applied

27 lessons with real examples

Each lesson includes practical scenarios, actionable checklists and quizzes to check your understanding.

Curriculum

10 modules, 27 lessons — structured to learn step by step.

10 modules
27 lessons
~6h of content
Interactive quizzes
Free preview available Why AI Belongs in the Modern SOC
Read the preview
1 Free preview lesson Why AI Belongs in the Modern SOC
Read the preview
2 The 2026 Threat Landscape and the Defender Dilemma
13 min
3 Where AI Helps and Where It Does Not
12 min
1 Anatomy of a Modern SOC
13 min
2 SIEM in 2026: Splunk, Sentinel and Elastic
13 min
3 Adding AI to the SIEM Workflow
12 min
1 Anomaly Detection Foundations for Security
13 min
2 UEBA: User and Entity Behaviour Analytics
13 min
3 Baselines, Drift and Keeping Models Honest
12 min
1 Detection Engineering with MITRE ATT&CK
13 min
2 Machine Learning Detection Models in Practice
13 min
3 AI-Assisted Threat Hunting
12 min
1 The False Positive Problem and Alert Fatigue
12 min
2 AI-Assisted Triage, Correlation and Enrichment
13 min
3 Risk-Based Alerting and Prioritisation
12 min
1 SOAR Fundamentals and Playbooks
12 min
2 AI in the Response Loop: Enrichment and Decisioning
13 min
3 Human Oversight and Safe Automation Guardrails
12 min
1 Log and Network Analysis with AI/ML
13 min
2 Malware Detection with Machine Learning
13 min
3 Phishing and Business Email Compromise Detection
12 min
1 AI for Threat Intelligence
13 min
2 Risk-Based Vulnerability Management
12 min
1 AI Copilots for Security Analysts
13 min
2 Adversarial AI: How Attackers Use AI
13 min
3 Governance, Privacy and Guardrails
13 min
1 Final Assessment — AI for Cybersecurity: Threat Detection and SOC Operations
40 min
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27 hands-on lessons Content updated regularly AI professor included in your subscription