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Certificate in AI-Powered Cyber Security

Apply AI techniques to identify cyber threats, strengthen security practices, and understand modern cyber defence strategies.

Last updated 07/2026EnglishIntermediate

About this programme

Apply AI techniques to identify cyber threats, strengthen security practices, and understand modern cyber defence strategies.

Delivered as 60 live two-hour sessions across 8 modules, with a graded build at the end of every module and a mentor-reviewed capstone to finish.

Course outcomes

What you will be able to do on completion

This programme is built around capability, not coverage. By the end you will be able to:

01Explain the modern threat landscape and how attacks actually unfold
02Apply core security controls across network, endpoint and identity
03Use AI and machine learning to detect anomalous behaviour
04Work through the incident response lifecycle under pressure
05Build detection logic and tune it to reduce false positives
06Assess the security of AI systems themselves, including model attacks
07Apply governance, risk and compliance practice
08Communicate security risk to a non-technical audience
09Deliver a defensible security assessment and detection build

Course content

8 modules · 60 sessions · 120 hours

Sessions run two hours each, live with an instructor. Each module closes with a graded build.

1.1 The security mindsetPreview2 hrs

1.2 Confidentiality, integrity and availabilityPreview2 hrs

1.3 Networking essentials for defenders2 hrs

1.4 Operating system and endpoint basics2 hrs

1.5 Identity, authentication and access control2 hrs

1.6 Cryptography in practice2 hrs

1.7 Security tooling landscape2 hrs

1.8 Setting up your lab environment2 hrs

2.1 How real attacks unfold2 hrs

2.2 Reconnaissance and initial access2 hrs

2.3 Phishing and social engineering2 hrs

2.4 Malware families and behaviour2 hrs

2.5 Privilege escalation and lateral movement2 hrs

2.6 Persistence and exfiltration2 hrs

2.7 Ransomware case studies2 hrs

2.8 Threat intelligence sources2 hrs

2.9 Mapping techniques to a framework2 hrs

2.10 Workshop: walking an attack chain2 hrs

3.1 Why rules alone are not enough2 hrs

3.2 Security data and telemetry2 hrs

3.3 Feature engineering from logs2 hrs

3.4 Supervised detection models2 hrs

3.5 Anomaly detection for unknown threats2 hrs

3.6 Reducing false positives2 hrs

3.7 Evaluating detection quality2 hrs

3.8 Build: an anomaly detection pipeline2 hrs

4.1 Inside a security operations centre2 hrs

4.2 Alert triage and prioritisation2 hrs

4.3 Log analysis and correlation2 hrs

4.4 Building detection rules2 hrs

4.5 The incident response lifecycle2 hrs

4.6 Containment and eradication2 hrs

4.7 Digital forensics fundamentals2 hrs

4.8 Evidence handling and reporting2 hrs

4.9 Post-incident review2 hrs

4.10 Project: responding to a simulated incident2 hrs

5.1 Automating triage with AI2 hrs

5.2 Enriching alerts with context2 hrs

5.3 Natural-language querying of security data2 hrs

5.4 Summarising incidents for responders2 hrs

5.5 Phishing and content classification2 hrs

5.6 User behaviour analytics2 hrs

5.7 Threat hunting with AI assistance2 hrs

5.8 Guarding against over-trust in AI output2 hrs

5.9 Cost and noise management2 hrs

5.10 Project: an AI-assisted detection workflow2 hrs

6.1 The AI attack surface2 hrs

6.2 Prompt injection and jailbreaks2 hrs

6.3 Data poisoning and model theft2 hrs

6.4 Adversarial inputs2 hrs

6.5 Securing AI supply chains2 hrs

6.6 Assessing an AI system for risk2 hrs

7.1 Risk assessment fundamentals2 hrs

7.2 Security policy and standards2 hrs

7.3 Regulatory landscape overview2 hrs

7.4 Audit and evidence2 hrs

7.5 Security awareness programmes2 hrs

7.6 Reporting risk to leadership2 hrs

8.1 Capstone assessment and mentor review2 hrs

8.2 Portfolio, resume and interview preparation2 hrs

Requirements

A laptop with internet access
Willingness to work through hands-on builds each module
No prior AI background required — the first module starts from fundamentals
Around four hours a week outside sessions for project work

Description

Apply AI techniques to identify cyber threats, strengthen security practices, and understand modern cyber defence strategies.
60 live sessions across 8 modules, 120 hours in total.
Every module closes with a graded build reviewed by a mentor.
Finish with a verifiable certificate recognised by our hiring partners.

Instructor

Dr. Neha Rao

Lead AI Instructor · TEVVO Academy

12,480 reviews41,200 students9 courses

Neha has spent a decade building machine learning systems in production, most recently leading an applied AI team. She teaches the way she works — starting from a real problem, then building the smallest thing that solves it.

Student feedback

4.9Course rating

78%

14%

Featured reviews

Ananya S.

Structured, practical and paced properly. The graded build at the end of each module is what made it stick.

Karthik R.

The mentor reviews were the most valuable part — real feedback on real work, not just a quiz score.

Meera J.

Genuinely current material and a sensible schedule alongside a full-time job.