01
Module 1: Network & Endpoint Defense
Fundamentals of network architecture, firewall configuration, security protocols, and securing endpoint environments.
IT Courses3 MonthsLive Online
AI & Cybersecurity
AI-integrated threat detection, network defense and incident handling.
An applied programme focused on using AI for threat detection, security monitoring, automated incident response, risk assessment and modern cyber defence.
Course Details
- Duration3 Months
- FormatLive Online
- Skill LevelBeginner to Intermediate
- PaymentFlexible payment options
- Core SkillsThreat Detection Frameworks, SIEM Platforms, Python for Security, AI Risk Assessment, Network Monitoring Tools
- PrerequisitesBasic knowledge of IT networks and operating systems is helpful, but beginner-friendly pathways are available.
- BatchesWeekdays/ Weekend batches available
- 3 MonthsDuration
- 5Modules
- 1Certificates
- Live OnlineDelivery
Overview
The AI-Driven Cybersecurity Professional Program is an applied technical course focused on securing modern digital infrastructure by integrating artificial intelligence into threat detection, network defense, and incident handling. It combines foundational cyber defense practices with automated security operations to shield organizations against sophisticated cyber threats.
Why is it needed?
Cyberattacks have become increasingly automated and complex, making traditional, manual security operations insufficient for modern enterprise defense. Adversaries now use AI to generate convincing phishing attempts and exploit vulnerabilities at scale. Security operations centers (SOCs) require trained professionals who can deploy AI models to analyze gigabytes of log data, detect anomalous behaviors in real time, and execute rapid, automated response strategies.
Course Outline
02
Module 2: AI-Powered Threat Detection
Applying machine learning algorithms to analyze network traffic, identify zero-day threats, and detect suspicious behavioral patterns.
03
Module 3: SIEM Integration
Aggregating and analyzing event data using Security Information and Event Management platforms to maintain visibility over system health and security events.
04
Module 4: Automated Incident Response
Setting up automated playbooks to isolate infected assets, block malicious IPs, and mitigate damage rapidly.
05
Module 5: AI Risk & Compliance
Evaluating vulnerability risk scores using AI models, understanding cyber governance framework requirements, and securing AI models themselves against adversarial attacks.
Course outcomes
By the end of the programme, learners will be able to:
Detect threats using AI and cybersecurity techniques.
Monitor security events with SIEM tools.
Automate threat response and mitigation.
Assess vulnerabilities, risks and compliance.
Career opportunities
Cybersecurity Analyst SOC Analyst Threat Detection Analyst Security Operations Specialist AI Security Associate
Certification
My Value Academy Certificate of Completion.
Student reviews
In their own words, from learners who completed this programme.
“The SIEM and incident response labs were close to real operations-centre work. Reading logs stopped feeling like guesswork.”
Siddharth Nambiar
IT Support Engineer
“I liked that AI was taught as a defender's tool and as an attacker's tool. Risk and compliance gave the technical parts a business context.”
Kavya Menon
Security Enthusiast
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