Investigate
Work with incomplete evidence, noisy alerts and an AI system that can make mistakes. Record hypotheses and competing explanations.
AI5 ACADEMY · PROFESSIONAL SECURITY TRAINING
Applied AI for
Cybersecurity
Use AI to investigate threats. Secure the AI systems your organisation depends on. Build the evidence to act with confidence.
AI proposes→Evidence verifies→Humans authorize.
ONE VERTICAL · FOUR PROFESSIONAL ROUTES
Choose by responsibility.
Take the flagship for connected technical and governance practice. Choose a specialist when you already have the foundations and need depth in your current role. These routes share core methods; completing all four is not necessary.
24 WEEKS · LIVE ONLINE
Applied AI for Cybersecurity Professional Program
Build verified AI security workflows across SOC operations, threat hunting, incident response, LLM and agent security, cloud controls and cyber governance in a 24-week live online program.
72 sessions · 72–108 live hoursView syllabus and entry requirements ↗
12 WEEKS · LIVE ONLINEAI-Powered SOC, Threat Hunting & Incident Response
Apply AI to SOC triage, threat intelligence, detection engineering, threat hunting and incident response. Build evidence-backed analyst workflows with human-approved containment.
36 sessions · 36–54 live hoursView syllabus and entry requirements ↗
12 WEEKS · LIVE ONLINEGenAI, LLM & Agentic AI Security + AI Red Teaming
Secure LLM applications, RAG pipelines and tool-using AI agents. Run authorized AI red teaming, validate findings and build regression tests for application, data and agent controls.
36 sessions · 36–54 live hoursView syllabus and entry requirements ↗
8 WEEKS · LIVE ONLINEAI Cyber Risk, GRC & Governance
Assess cyber risks from GenAI and autonomous agents, verify controls and build an auditable governance portfolio using NIST, OWASP and evidence from realistic security scenarios.
24 sessions · 24–36 live hoursView syllabus and entry requirements ↗
| Program | Duration | Sessions / live hours | Best fit |
|---|---|---|---|
| Professional Program | 24 weeks | 72 / 72–108 | Cybersecurity students with core foundations, security analysts, engineers and professionals moving into applied AI security. Security teams can take a private cohort. |
| AI SOC & Incident Response | 12 weeks | 36 / 36–54 | SOC analysts, blue-team practitioners, incident responders, threat hunters and cybersecurity students who already understand security operations. |
| LLM, Agent Security & Red Teaming | 12 weeks | 36 / 36–54 | Application and cloud security engineers, penetration testers, AI developers and technical security professionals responsible for AI systems. |
| AI Cyber Risk & Governance | 8 weeks | 24 / 24–36 | Cyber-risk and GRC professionals, security managers, auditors, compliance teams and technical staff moving into AI security governance. |
PRACTISE THE WHOLE DECISION
Cyber Range: investigate, verify, respond.
The Cyber Range is a sequence of isolated training scenarios using local applications, synthetic company records and replayed security events. Technical routes test controls; the governance route reviews the evidence and authorizes decisions in tabletop exercises.
Verify
Reproduce findings, test benign controls and keep source references, timestamps, configuration and version records.
Respond
Request approval for changes, test containment and rollback, then explain remaining risk in an operational handover.
All testing stays within authorized training targets. No live third-party attacks or real customer secrets. Hosted range subscriptions and continuous access are not assumed; confirm the cohort’s delivery and access arrangements before enrolment.
BUILT TO KEEP LEARNING
AI5 Emerging Threat Lab
Each cohort examines a recent AI-security advisory or research finding within its scheduled lab time. Learners check the source, assess relevance, reproduce a safe bounded example where feasible, test a mitigation and add an evidence-backed advisory to their portfolio.
Topics may include new agent protocols, AI-to-AI trust failures, memory poisoning, impersonation, autonomous tool misuse or changes in defensive models. This prepares learners for increasingly capable AI without speculative claims about AGI. The lab refreshes case material while preserving the program’s core learning outcomes and hours.
Live Online. Built for professional teams worldwide.
English-language live instruction, practical assignments and individual review. International learners should share their country and time zone so admissions can confirm a suitable cohort, local class times and daylight-saving changes before enrolment. Three sessions per week; generally 60–90 minutes each.
AI5 also serves learners in India and Delhi NCR. These programs are listed as Live Online; any on-site company delivery requires a separate agreed scope. Ask for batch dates, fees, applicable taxes, payment currency and international payment instructions. No batch date or commercial-tool access is promised until confirmed.
Companies can request a private cohort around approved tools, sanitized scenarios, team roles and measurable acceptance criteria. Discuss company training.
Build work you can explain and defend.
Portfolios contain tested detections, investigation records, AI security assessments, permission policies and operational handovers. Assessment checks how you reached a conclusion, how you verified AI output and who had authority to act.
Related routes: Agentic AI development · LLM application development · AI governance
Questions before you join
How is this different from a conventional cybersecurity course?
AI-assisted security work and the security of AI systems are the starting point. Every workflow requires evidence checks, explicit authority and measurable tests. Conventional foundations are prerequisites or targeted refreshers, rather than the main curriculum.
How many live sessions and hours are included?
The flagship has 72 sessions and 72–108 live hours. Each 12-week technical specialist has 36 sessions and 36–54 hours. The 8-week governance specialist has 24 sessions and 24–36 hours.
Do I need coding or cybersecurity experience?
The flagship and technical specialists require cybersecurity foundations; the LLM/agent specialist also requires working Python and API skills. The cyber-risk specialist requires risk and control awareness, with no coding prerequisite.
Are paid tools, exams or professional certifications included?
Do not assume a commercial subscription, cloud credit, vendor exam, external certification or CPE entitlement is included. Core practical work uses local/open tools and synthetic evidence where possible. Ask admissions for a written list of any batch-specific access costs and completion documentation.
Can international learners and company teams join?
Yes, through Live Online training in English, subject to a suitable confirmed cohort. Share your time zone and objectives. Companies may request a private cohort with agreed tools and sanitized scenarios.
Does the program guarantee a job or a secure AI system?
No. The assessed output is a portfolio of verified workflows and control evidence. Hiring and production security depend on experience, the environment and ongoing review; a course or scanner cannot guarantee either.
CURRICULUM REFERENCES
Work from current security guidance.
Source pages checked September 2026. Each cohort records the editions, tool versions and advisories used in its lab briefs. Framework use does not imply accreditation, partnership or endorsement.
OWASP GenAI Security Project ↗
GenAI application risks and control guidance.
OWASP Agentic Security Initiative ↗
Agent trust boundaries, identity, tools and memory risks.
MITRE ATT&CK ↗
Threat behaviours, hunting hypotheses and detection coverage.
MITRE ATLAS ↗
Adversarial threats to AI systems.
NIST Cybersecurity Framework ↗
Cybersecurity outcomes and control ownership.
NIST AI Risk Management Framework ↗
AI risk management and evidence review.
NIST Adversarial Machine Learning taxonomy ↗
Attack and mitigation terminology.