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Download Our Latest Course Catalog | Download Now
This certification builds on foundational security knowledge to teach you how to integrate advanced AI technologies into real-world cybersecurity practices. From Python scripting and machine learning to GANs and threat intelligence, this program offers practical tools to stay ahead of evolving threats.
Perfect for security professionals, IT leaders, and developers looking to enhance their skills with applied AI.
Cybersecurity is growing more complex. This course helps you build AI-powered strategies that scale with the threats. You’ll learn how AI transforms malware detection, user authentication, email threat analysis, and penetration testing.
Real-world labs, case studies, and a capstone project ensure you’re prepared to implement what you learn. This program goes beyond theory, giving you the tools to build and deploy smart defenses.
Interest in AI (machine learning, NLP, deep learning)
Basic understanding of computer science fundamentals
Willingness to learn new tools, concepts, and ethical considerations
Awareness of data privacy and responsible AI use
Cybersecurity professionals and analysts
IT administrators and security engineers
Cloud architects and systems designers
Risk managers and compliance specialists
Business leaders responsible for cybersecurity strategy
Security consultants and AI-integrated tool developers
N/A
1. Can the course be taken online?
Yes. The course is available as a virtual instructor-led session with live teaching and hands-on labs.
2. Is in-person training available?
Yes. In-person sessions can be arranged at certified training centers or as private sessions for institutions or corporate teams.
3. Will I receive official course materials?
Yes. All participants receive electronic access to course materials. Printed versions are available upon request.
4. Is there a certificate of completion?
Yes. Upon successful completion of the course, participants will be awarded an AI CERTs official certificate.
Module 1: Introduction to Artificial Intelligence (AI) and Cybersecurity
Understanding Cybersecurity Artificial Intelligence (CSAI)
Introduction to AI and Its Applications in Cybersecurity
Overview of Cybersecurity Fundamentals
Identifying and Mitigating Real-World Risks
Building a Resilient and Adaptive Security Infrastructure
Enhancing Digital Defenses Using CSAI
Module 2: Python Programming for AI and Cybersecurity Professionals
Python Programming and Its Relevance in Cybersecurity
Cybersecurity Applications of Python
AI Scripting for Automation in Security Tasks
Data Analysis and Manipulation with Python
Developing Security Tools Using Python
Module 3: Application of Machine Learning in Cybersecurity
Applying Machine Learning in Cybersecurity
From Anomaly Detection to Behavior Analysis
Dynamic and Proactive Defense with ML
Safeguarding Sensitive Data Against Evolving Threats
Module 4: Detection of Email Threats with AI
Using Machine Learning for Email Threat Detection
Pattern Analysis and Malicious Content Identification
Enhancing Phishing Detection via AI
Autonomous Threat Identification and Mitigation
Tools & Technologies for AI-Driven Email Security
Module 5: AI Algorithms for Malware Threat Detection
Introduction to AI in Malware Detection
Leveraging Advanced Algorithms for Threat Identification
Detecting, Analyzing, and Mitigating Malicious Software
Real-Time Protection for Systems and Networks
Tools & Technologies: Python, Malware Analysis Frameworks
Module 6: Network Anomaly Detection Using AI
Identifying Irregular Patterns in Network Traffic with ML
Strengthening Network Defenses with AI Techniques
Implementing Practical Network Anomaly Detection Systems
Module 7: User Authentication Security with AI
Introduction to AI-Driven User Authentication
Enhancing Authentication with Biometrics and Behavioral Analysis
Defending Against Unauthorized Access
Balancing Security with User Experience
Tools & Technologies: AI Authentication Platforms
Conclusion
Module 8: Generative Adversarial Networks (GANs) for Cybersecurity
Introduction to GANs in the Cybersecurity Landscape
Simulating Threats to Improve Defense Systems
Identifying Vulnerabilities Using GAN-Generated Scenarios
Tools & Technologies: Python, GAN Frameworks
Module 9: Penetration Testing with Artificial Intelligence
AI-Enhanced Vulnerability Identification
Automating Threat Detection and Response
Adapting to Dynamic Attack Patterns with AI
Tools & Technologies: AI Vulnerability Scanners, Pentest Tools
Module 10: Capstone Project
Project Introduction
Real-World Use Cases: AI in Cybersecurity
Outcome Presentation and Evaluation
Optional Module: AI Agents for Security Level 2
What Are AI Agents
Key Capabilities in Advanced Cybersecurity
Trends and Real-World Applications
How AI Agents Operate
Core Characteristics and Types of AI Agents
At DataCipher, we offer a variety of payment options for our Fortinet courses. Here are the methods available:
Purchase Order (PO) – If your organization prefers using a purchase order, begin the registration process by clicking the Register button. At the conclusion of the registration form, choose the option “My company will pay for it, please send an invoice with the payment details.” Our training team will then provide an official quote and any necessary additional information that your accounts department might need to issue the PO.
Bank Transfer – DataCipher maintains bank accounts in both the US and Europe, accommodating all standard bank transfer methods such as IBAN/BIC, Swift, ACH, or wire transfer. To make a payment via bank transfer, simply use the Register button to sign up for your selected course.
Credit Card Payments – We accept payments from all major credit cards, including Mastercard, VISA, American Express, Discover & Diners, and Cartes Bancaires. Payments can be made directly through the registration link or by requesting an invoice that includes a web link for online payment. All transactions are secure, and DataCipher does not store any credit card information.
These options are designed to make the registration process as smooth and flexible as possible for all participants.
Guaranteed to Run – DataCipher is committed to running this class unless unforeseen events such as an instructor’s accident or illness occur.
Guaranteed on Next Booking – The course will proceed once an additional student registers.
Scheduled Class – We have scheduled this course and rarely cancel due to low enrollment. We offer a “Cancel No More Than Once” guarantee, ensuring that if a class is canceled due to insufficient enrollment, the next session will run regardless of the number of attendees.
Sold Out – If the class is fully booked, please use our contact form to join the waiting list or to inquire about additional sessions. We’re here to accommodate your training needs and keep you informed of new opportunities.
At DataCipher, we offer our training courses in both traditional full-day and convenient half-day formats. Our half-day classes are specifically designed for IT professionals who cannot be away from their workplaces for consecutive full days. This flexible schedule allows participants to dedicate a few hours to learning and then return to their regular work responsibilities.
The curriculum for both the full-day and half-day formats is identical. The primary difference is that the half-day classes spread the coursework over a more extended period, providing a balanced approach to professional education. DataCipher has been successfully running these half-day training sessions for several years, receiving consistently positive feedback from our customers. They appreciate the flexibility and report that the extended timeframe facilitates a deeper understanding of the material, as it gives them more time to absorb and reflect on the information learned.
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