LearnQuest
GenAI for Cybersecurity: Blue Team

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LearnQuest

GenAI for Cybersecurity: Blue Team

LearnQuest Network
Rick Bodnar

Instructors: LearnQuest Network

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Gain insight into a topic and learn the fundamentals.
Beginner level

Recommended experience

5 hours to complete
Flexible schedule
Learn at your own pace
Gain insight into a topic and learn the fundamentals.
Beginner level

Recommended experience

5 hours to complete
Flexible schedule
Learn at your own pace

What you'll learn

  • Detect anomalies in network traffic and automate response with AI-powered SOAR playbooks. Enrich raw alerts with AI-driven threat intelligence.

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Assessments

3 assignments¹

AI Graded see disclaimer
Taught in English

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There are 3 modules in this course

In today’s SOC and cybersecurity roles, analysts are expected to detect threats hidden in massive volumes of network traffic—often without clear patterns or warning signs. Encrypted traffic, zero-day exploits, and insider movement can all blend into normal operations, overwhelming teams with false alerts and blind spots. For early-career professionals, learning how to cut through that noise is the difference between being an overwhelmed junior analyst and becoming a trusted defender who adds real value on day one. This module gives you practical, hands-on training in using AI-powered anomaly detection and clustering to identify malicious traffic in real time. You’ll learn how to capture and preprocess network data, apply algorithms like K-Means clustering, and build intuitive dashboards that separate normal communication from hidden attacks. By practicing with tools such as Wireshark, Python, and AI-driven models, you’ll not only strengthen your technical skills but also build workflows that directly match how SOC teams operate under pressure. By the end of this module, you will be able to: Detect anomalies in encrypted traffic using AI-based heuristics. Apply clustering methods to isolate zero-day attack signatures. Prioritize high-severity alerts to reduce fatigue and false positives. Correlate network traffic across devices for unified situational awareness. Whether your goal is to land your first SOC analyst job or to step into blue team responsibilities in your current role, the skills from this module will make you stand out as someone who can connect AI insights to urgent, real-world defense challenges.

What's included

6 videos7 readings1 assignment1 plugin

Security teams today face an overwhelming challenge: incidents pile up faster than analysts can respond, while compliance demands, insider threats, and advanced attacks stretch already thin resources. Organizations don’t just want defenders who can analyze traffic—they need professionals who can automate and orchestrate response at scale. For early-career analysts, mastering SOAR (Security Orchestration, Automation, and Response) with AI is a fast track to becoming indispensable. In this module, you’ll learn how to design, customize, and automate SOAR playbooks that take immediate action when threats emerge. You’ll start by building playbooks for common incidents, then expand into customizing open-source platforms like StackStorm with your own Python scripts and API integrations. Finally, you’ll explore how AI can supercharge SOAR automation, helping you handle phishing, malware, and suspicious activity without manual delays. By the end of this module, you will be able to: Build and trigger automated SOAR playbooks for common incident types. Customize SOAR environments with Python scripting and ML integrations. Automate incident reporting and collaboration across security teams. Implement AI-enhanced response workflows that reduce downtime and analyst workload. These are not abstract skills—they are the workflows SOCs use daily to scale their defenses. Completing this module means you’ll be able to walk into an interview or a new role and show that you know how to move beyond analysis into automation, a capability that organizations urgently need to keep pace with modern threats.

What's included

6 videos6 readings1 assignment

Most organizations already run intrusion detection systems, firewalls, and SIEM tools — yet sophisticated attackers still find ways to slip through. They move quietly, hide in normal traffic, and exploit blind spots that leave security teams scrambling. Traditional defenses are reactive, waiting for alerts to fire. Modern blue teams need to go beyond waiting — they need to hunt for threats proactively. This module equips you with the skills to use AI-assisted threat hunting and response to uncover stealthy attackers before they cause damage. You’ll learn how to generate and test hunting hypotheses with AI support, enrich intelligence with automated context, and reduce alert fatigue by tuning and scaling SOAR playbooks for multinational environments. Each lesson links real-world SOC challenges — such as false positives, insider threats, or global compliance — to practical AI-enabled workflows. By the end of this module, you’ll understand how to combine AI tools with analyst judgment to detect, validate, and respond to advanced threats. These skills are urgently sought in SOC and incident response teams worldwide, and they’ll set you apart as someone who can bridge the gap between traditional defense and modern AI-driven security.

What's included

2 videos6 readings1 assignment2 plugins

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LearnQuest Network
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¹ Some assignments in this course are AI-graded. For these assignments, your data will be used in accordance with Coursera's Privacy Notice.