AI for Cyber Security : Threat Detection, SOC Automation

AI for Cyber Security: Threat Detection & SOC Automation is a beginner-friendly yet industry-relevant course designed to explain how Artificial Intelligence is transforming modern cybersecurity operations. The course focuses on applying AI, Machine Learning (ML), and Deep Learning (DL) to real-world cybersecurity problems such as threat detection, SOC automation, and incident response.

Unlike purely theoretical AI courses, this program is positioned at the intersection of cybersecurity operations and applied AI, making it suitable for learners who want to understand how AI is actually used inside Security Operations Centers (SOCs)—even without prior AI or data science experience.

Course Snapshot

• Instructor: Selfcode Academy

• Students Enrolled: 1,131

• Rating: 4.6 / 5

• Content Length: ~23.5 hours

• Skill Level: Beginner → Intermediate

• Language: English (Auto captions)

• Certification: Certificate of completion

• Access: Full lifetime access (mobile & TV supported)

What This Course Focuses On

This course introduces AI-driven cybersecurity from the ground up, starting with core AI concepts and gradually moving into practical SOC use cases. The emphasis is on how AI augments human analysts, reduces alert fatigue, and automates repetitive security tasks.

Rather than teaching complex model training from scratch, the course focuses on applied AI in security workflows, including:

• Threat detection

• Malware analysis

• Automated incident response

• SOC workflow optimization

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Skills & Concepts You’ll Learn

AI Foundations for Cybersecurity

• Core concepts of Artificial Intelligence, Machine Learning, and Deep Learning

• How AI differs from traditional rule-based security systems

• Strengths and limitations of AI in cyber defense

AI-Based Threat Detection

• Behavioral analysis vs signature-based detection

• Identifying anomalies using AI-driven techniques

• Detecting advanced threats and zero-day attacks

SOC Automation & AI-Augmented Workflows

• How AI enhances Security Operations Centers (SOC)

• Automating alert triage and prioritization

• Reducing false positives with AI-assisted decision-making

Incident Response & Malware Analysis

• AI-supported incident investigation workflows

• Using ML techniques for malware detection and classification

• Accelerating response times with automated playbooks

Security Tools & Platforms

• Practical exposure to AI-powered security tools such as:

  • Darktrace

  • CrowdStrike

  • SOAR (Security Orchestration, Automation, and Response) platforms

• Understanding how these tools use AI under the hood

Real-World SOC Scenarios

• Designing AI-augmented SOC workflows

• Simulating real-world cyber incidents using datasets

• Integrating automation into existing security processes

Risks, Challenges & Limitations

• Bias, false positives, and model drift

• Over-reliance on AI in security operations

• Ethical and operational risks of AI-driven security systems

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Who This Course Is Best For

• Cybersecurity beginners exploring AI-driven defense

• SOC analysts looking to understand AI automation

• IT professionals transitioning into security roles

• Students interested in AI + cybersecurity careers

• Professionals wanting conceptual and practical exposure without heavy coding

Common Learner Questions

Do I need AI or ML experience?
No. The course is designed for learners with no prior AI knowledge.

Is this a coding-heavy course?
No. The focus is on concepts, tools, and workflows, not building ML models from scratch.

Is this relevant for SOC roles?
Yes. The course is strongly aligned with SOC automation, alert handling, and incident response.

Does it cover real tools?
Yes. It introduces industry-used AI security platforms and automation concepts.

Practical Value

The main strength of this course is its accessibility. It helps learners understand:

• Why AI is used in cybersecurity

• Where AI fits into SOC workflows

• How AI improves detection and response efficiency

It serves as a bridge course between traditional cybersecurity knowledge and modern AI-powered security operations.

Final Verdict

AI for Cyber Security: Threat Detection & SOC Automation is a solid entry-level to intermediate course for anyone wanting to understand how AI is reshaping cybersecurity in practice. It avoids unnecessary math or data science depth and instead focuses on real SOC use cases, automation, and industry tools, making it ideal for security professionals preparing for the AI-driven future of cyber defense.