AI+ Security Level 2™
Our comprehensive course, AI+ Security Level 2 offers professionals a thorough exploration of the integration of AI and Cybersecurity. Beginning with fundamental Python programming tailored for AI and Cybersecurity applications, participants delve into essential AI principles before applying machine learning techniques to detect and mitigate cyber threats, including email threats, malware, and network anomalies. Advanced topics such as user authentication using AI algorithms and the application of Generative Adversarial Networks (GANs) for Cybersecurity purposes are also covered, ensuring participants are equipped with cutting-edge knowledge. Practical application is emphasized throughout, culminating in a Capstone Project where attendees synthesize their skills to address real-world cybersecurity challenges, leaving them adept in leveraging AI to safeguard digital assets effectively.
Fee structure:
Self-Learning Mode:
Each certificate: INR: 19,999
(online videos access + practice tests) – 4 weeks
On-line Instructure led training:
Certificate: INR: 29,999
(online videos access + practice tests) – 4 weeks
Objectives
AI-Driven Threat Detection
Learners will gain expertise in using AI algorithms for detecting various cybersecurity threats, including email threats, malware, and network anomalies, enhancing security monitoring capabilities.
Application of Machine Learning in Cybersecurity
Students who will go through this course will have the ability to apply machine learning techniques to predict, detect, and respond to cyber threats effectively, using data-driven insights.
Enhanced User Authentication Methods
Learners will develop skills in implementing advanced AI-based user authentication systems, improving security protocols to verify user identities more accurately and resist fraudulent attempts.
AI-Enhanced Penetration Testing
Students will learn how to use AI tools to automate and enhance penetration testing processes, identifying vulnerabilities more efficiently and comprehensively than traditional methods.
Prerequisites
- An Enthusiast
- Fundamentals of Computing
- Curiosity and openness to learning about new concepts and technologies
- Legal Practitioners
