AI for Cybersecurity Internship
Explore how AI can assist security teams with detection, investigation, analysis and automated response. Learn to build AI-powered tools for modern SOC environments.
AI for Cybersecurity
8 weeks · Live Online / Hybrid · Hands-on Labs
Price
Talk to us
200+
Learners Trained
4.9
Avg. Rating
45+
Verified Reviews
8 Weeks
Duration
8 Weeks
Duration
Live Online / Hybrid
Mode
Hands-on Labs
& SOC Scenarios
Certificate
Provided
Smarter detection, faster response
Learn to build and use AI to detect threats, triage alerts, investigate incidents and automate response — the skills modern SOC teams are hiring for right now.
- Live instructor-led sessions
- AI-assisted investigation labs
- LLM prompt workflows for SOC
- Automated triage playbooks
- Capstone AI security project
- Internship completion certificate
What You'll Learn
A structured path from AI fundamentals to production-grade security automation.
01
FoundationCore Topics
- AI fundamentals for security
- Machine Learning basics
- Threat detection with AI
- Log analysis using AI
- Anomaly detection models
- MITRE ATT&CK mapping
- Natural language processing for security
- Prompt engineering for SOC
- AI-assisted investigation
- Automated incident triage
- AI guardrails & ethics
- Reporting with AI assistance
02
PracticeHands-on Labs
- AI-based log analysis
- Anomaly detection labs
- Threat intelligence enrichment
- LLM-assisted alert triage
- AI-driven incident investigation
- Prompt design for SOC analysts
- Automated response playbooks
- Model evaluation for security
03
Real-worldCapstone Project
- Build an AI-assisted SOC investigation
- Design a detection pipeline using AI
- Automate alert triage with LLMs
- Correlate logs across multiple sources
- Map findings to MITRE ATT&CK
- Generate automated incident reports
- Production-ready architecture
Key Learning Areas
Master the AI and security skills that employers are actively hiring for.
What You'll Master
- SIEM + AI integrations
- Python for security automation
- ML models for anomaly detection
- LLMs in SOC workflows
- RAG for threat intelligence
- AI guardrails and prompt safety
- Evaluating AI-assisted detection quality
Real-World Scenarios
- AI-driven log correlation
- Anomaly detection in network traffic
- LLM-assisted alert summarisation
- Phishing detection with ML
- Automated threat intelligence enrichment
- AI-generated incident reports
- Prompt-based investigation workflows
Practice AI-assisted security in SOCLabs
Our SOCLabs platform provides safe, isolated simulations where AI-assisted investigation meets real-world security scenarios — without affecting live systems.
- AI-assisted triage
- Log correlation with ML
- Prompt-driven investigation
- Automated response
Who Can Join?
Ideal for anyone wanting to work at the intersection of AI and cybersecurity.
Cybersecurity students
Add AI to your security toolkit
SOC Analysts
Automate triage with AI
AI/ML graduates
Apply AI to real security problems
Recent Graduates
Build AI-security expertise
Take the next step
Smarter Detection. Faster Response.
Build the AI-assisted security skills modern SOC teams are hiring for right now.
200+
Learners
4.9
Rating
8 Weeks
Duration