Automating Cybersecurity Operations with AI

This comprehensive, hands-on course teaches cybersecurity professionals how to leverage artificial intelligence and Python automation to transform security operations from reactive manual processes into proactive, intelligent automated systems.

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Course curriculum

1. Segment 00: Welcome to the Course: Course Overview
2. Segment 01: Intro Video to Course
3. Segment 02: Module Introduction
4. Segment 03: The Modern SOC Crisis: Alert Fatigue and Resource Gaps
5. Segment 04: AI as the Force Multiplier: Transforming Security Operations
6. Segment 05: Hands-On: Manual vs. AI-Automated Alert Analysis
1. Segment 06: Demystifying AI: ML vs. DL vs. LLMs for Security Practitioners
2. Segment 07: AI Model Types in Security Operations: Detection, Classification, and NLP
3. Segment 08: Hands-On: Building Your First Anomaly Detector with Python and AI
1. Segment 09: Setting Up Your Security Automation Environment
2. Segment 10: Connecting to AI APIs: ChatGPT and Claude Integration
3. Segment 11: Hands-On: Your First AI Security Pipeline
4. Segment 12: Reading - Security Orchestration, Automation, and Response (SOAR) Explained
5. Segment 13: Hands-On-Learning - AI-Powered Firewall Alert Analyzer
6. Segment 14: Role-Play Activity
7. Segment 15: Quiz: Building Your AI-Powered Security Toolkit
1. Segment 16: Module Introduction
2. Segment 17: Anatomy of Phishing Attacks: What Makes Them Work
3. Segment 18: Building Blocks of AI Phishing Detection Systems
4. Segment 19: Hands-On: Building a Complete Phishing Detector with Python and AI
1. Segment 20: Understanding Network Logs and Security Anomalies
2. Segment 21: Machine Learning for Anomaly Detection: Algorithms and Approaches
3. Segment 22: Hands-On: Building a Network Anomaly Detection System
1. Segment 23: Indicators of Compromise: The Language of Threat Intelligence
2. Segment 24: Malware Classification and Threat Intelligence APIs
3. Segment 25: Hands-On: Automated IOC Extraction and Threat Intelligence Generation
4. Segment 26: Reading - MITRE ATT&CK Framework: Understanding Adversary Tactics and Techniques
5. Segment 27: Hands-On-Learning - Multi-Source Threat Detection System
6. Segment 28: Role-Play Activity
7. Segment 29: Quiz - Malware Analysis and IOC Extraction Automation
1. Segment 30: Module Introduction
2. Segment 31: The Alert Triage Challenge: From Noise to Signal
3. Segment 32: Building Intelligent Triage Systems: Enrichment and Scoring
4. Segment 33: Hands-On: Building an AI-Powered Alert Triage System
1. Segment 34: The Art of Security Investigation: From Alert to Attack Story
2. Segment 35: Log Correlation and Timeline Reconstruction Techniques
3. Segment 36: Hands-On: Building an Automated Investigation Engine
1. Segment 37: Response Automation and SOAR: Speed vs. Safety
2. Segment 38: API-Driven Response: Integrating Security Tools
3. Segment 39: Hands-On: Building an Automated Incident Response Playbook
4. Segment 40: Reading - Computer Security Incident Handling Guide
5. Segment 41: Hands-On-Learning - Automated Incident Response System
6. Segment 42: Role-Play Activity
7. Segment 43: Quiz - Orchestrating Automated Response Actions
1. Segment 44: Module Introduction
2. Segment 45: From Static SOPs to Dynamic AI Playbooks
3. Segment 46: Understanding RAG: How AI Accesses Your Security Knowledge
4. Segment 47: Hands-On: Building a Security Analyst AI Assistant with RAG
1. Segment 48: Event-Driven Security Architecture: From Reactive to Proactive
2. Segment 49: Workflow Orchestration and Human-in-the-Loop Decision Making
3. Segment 50: Hands-On: Building a Production-Ready Phishing Response Pipeline
1. Segment 51: The Adversarial AI Threat Landscape: How Attackers Weaponize AI
2. Segment 52: Defensive AI: Hardening Models and Detecting AI-Generated Threats
3. Segment 53: Hands-On: Adversarial Testing and the Future of AI Security
4. Segment 54: Reading - Retrieval-Augmented Generation for Knowledge-Intensive NLP Tasks
5. Segment 55: Hands-On-Learning - AI Security Operations Center Platform
6. Segment 56: Role-Play Activity
7. Segment 57: Quiz - Defending Against AI Threats and Future-Proofing
8. Segment 58: Course Wrap-Up Video
9. Segment 59: Project - AI-Powered SOC Platform

About this course

Free
60 lessons
3.5 hours of video content

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Automating Cybersecurity Operations with AI

Course curriculum

Module 1: Foundations of AI-Driven Security Operations

Module 2: AI Models in Cybersecurity: What You Need to Know

Module 3: Building Your AI-Powered Security Toolkit

Module 4: Automated Phishing Detection with AI

Module 5: Network Anomaly Detection with Machine Learning

Module 6: Malware Analysis and IOC Extraction Automation

Module 7: AI-Assisted Alert Triage and Prioritization

Module 8: Automated Investigation and Evidence Collection

Module 9: Orchestrating Automated Response Actions

Module 10: Building AI-Powered Security Playbooks with RAG

Module 11: End-to-End Autonomous Security Pipelines

Module 13: Defending Against AI Threats and Future-Proofing

About this course

Discover your potential, starting today