Professional Certification in Artificial Intelligence in Cybersecurity

This certification course is an advanced, industry-focused programme designed to address the rising global demand for cybersecurity professionals who can harness Artificial Intelligence (AI) to combat evolving cyber threats. In today’s digital-first world, cyberattacks are no longer limited to traditional exploits but increasingly leverage automation, AI, and large-scale data manipulation. Organizations across critical sectors—finance, healthcare, government, telecom, IT services, and e-commerce—require experts who can apply AI and machine learning to defend against sophisticated attacks.

This programme equips learners with practical, hands-on expertise in applying AI to cybersecurity use cases such as threat detection, intrusion prevention, malware classification, phishing analysis, anomaly detection, and automated incident response. Participants will gain proficiency in machine learning, deep learning, and natural language processing techniques, alongside exposure to adversarial AI, cloud security applications, and real-world datasets. Through guided labs, real-world case studies, and a capstone project, learners will acquire the skills to design, deploy, and evaluate AI-driven security systems. Whether you are a cybersecurity enthusiast, a professional aiming to upskill, or someone transitioning into AI and security, this course provides a fast-track to mastering the intersection of AI and cybersecurity.

Programme Structure

Module 1: Introduction to AI & Cybersecurity

• Fundamentals of AI, ML, and DL
• Importance of AI in modern cybersecurity
• Overview of cyber threat landscape
• Real-world case studies of AI in security

Module 2: Machine Learning Foundations for Security

• Supervised, unsupervised, and reinforcement learning basics
• Feature engineering from logs, traffic, and system data
• Core ML algorithms (Decision Trees, Random Forest, SVM, Clustering)
• Building ML models for phishing and anomaly detection

Module 3: Deep Learning for Cybersecurity

• Neural networks overview
• CNNs for malware and binary classification
• RNNs/LSTMs for traffic and log analysis
• Autoencoders for intrusion and anomaly detection

Module 4: AI in Threat Detection & Incident Response

• AI-driven Intrusion Detection/Prevention Systems (IDS/IPS)
• Malware detection and classification using AI
• AI for phishing and spam filtering
• Automated incident response workflows

Module 5: NLP in Cybersecurity

• Basics of NLP for security applications
• Phishing and malicious email detection
• Threat intelligence analysis using NLP
• Dark Web and social media monitoring

Module 6: Adversarial AI & Security Challenges

• Adversarial attacks: evasion, poisoning, and deepfakes
• Security risks of AI models
• Countermeasures and defensive AI
• Ethical issues in adversarial AI

Module 7: AI in Cloud & Network Security

• AI for anomaly detection in network traffic
• AI-driven DDoS detection and mitigation
• AI in cloud identity and access management
• Securing IoT and APIs with AI

Module 8: Ethics, Future Trends, and Capstone Project

• Ethics and privacy in AI-based security systems
• Compliance and governance (GDPR, HIPAA, etc.)
• Future trends: predictive AI, SOC automation, quantum security

Module 9: Case Studies

Eligibility

Graduates in any discipline are eligible for our Post Graduate Diploma, Executive Diploma and Professional Certification Programmes.

Programme Duration

The minimum duration to complete the Professional Certification programme is 6 months and maximum is 12 months.

Programme Mode

Registration is currently open for Part-time (Online Live Classes) mode.

Programme Deliverables

A comprehensive study material for all the modules in hard copies ensuring the needs of the audience. The accompanying training material is appropriately aligned with the current Industry’s expectations.

• Interactive or online live sessions on all key areas of the programme giving all flexibility to the participants
• Online classes for all the modules will be conducted on the weekends. Moreover, a doubt clearing session will also be scheduled before the examination
• All the efforts are made by IGMPI faculty members to make the entire programme modules easily understandable
• Assessment and evaluation for all the programme modules in order to enhance the levels of competencies and skills of the participants leading towards the objective of application in the job
• At the end of each programme modules, the trainers shall obtain feedback from the participants using specially designed questionnaires
• All learning and training delivery initiatives shall be conducted in English

Examination and Certification

IGMPI follows a credit system based on all learning activities involved in studying the certificate programs. Each of your module is equal to 4 credits. To successfully complete the programme, you will have to earn all the credits assigned to the program.

All the participants are obliged to timely submit completed assessment assignments (during the programme, usually after every module) and appear for an online proctored exam at the end of the programme. After successful completion, the participants will be awarded Professional Certification in Artificial Intelligence in Cybersecurity by Centre for Sustainable Cybersecurity Technology, IGMPI. For all the above-mentioned modules elaborate programme material, self-assessment assignments and project work details would be provided by the Institute from time to time. Details get updated on the webpage as well.

Placement Assistance & Corporate Relations

The Institute has partnered with many organizations for providing with placement assistance to its participants. Besides, it has a robust placement cell comprised of senior level Human Resources professionals and Talent Acquisition experts which maintains close links with business and industry. This cell is continuously engaged in promoting the employability of our participants and encouraging the concerned Human Resource department and Hiring Managers to recruit/hire our participants for their vacant positions. The efforts of our placement cell also include helping with professional resume writing and interview skills.

In recent months, the Institute has witnessed more and more participation from professionals working with global think tanks. The IGMPI ‘s Corporate Resource Division actively recommends our students and training participants for various job requirements and specialized roles to Human Resource, Talent Acquisition as well as the heads of various departments in the industrial sector on a regular basis.

Future career prospects

Graduates of this certification will be well-positioned to pursue high-demand roles such as AI Security Specialist, Cybersecurity Data Scientist, Threat Intelligence Analyst, Security Automation Engineer, and Cloud Security Consultant. With industries across finance, healthcare, government, IT services, and e-commerce urgently seeking professionals who can integrate AI into their security strategies, learners will gain a strong competitive advantage. Top global organizations such as IBM Security, Cisco, Palo Alto Networks, Microsoft, Google, Amazon Web Services (AWS), Deloitte, KPMG, and EY, along with leading banks, healthcare providers, and government agencies, actively seek such expertise. The blend of technical AI knowledge and practical cybersecurity applications also opens pathways into leadership roles in Security Operations Centers (SOCs), consulting firms, and research institutions. Additionally, expertise in adversarial AI, automation, and compliance frameworks ensures graduates are well-prepared to future-proof their careers as organizations worldwide continue to adopt AI-driven defense systems.

View Prospectus

Apply Online

Last date for submitting completed Application Form: 11:59 PM 11^th Sep 2025.

For further enquiries, call or write to us on:
18001031071 (Toll Free -9:00 am to 5:30 pm IST-except on Central Government holidays)/ info@igmpi.ac.in