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Download Our Latest Course Catalog | Download Now
Learn how to build secure AI systems from the ground up and apply AI to networks, endpoints, cloud environments, and blockchain ecosystems. Each module prepares you to design, test, and deploy defense-ready systems that can detect and respond to modern threats.
This is the highest-level program in the AI+ Security path, ideal for professionals ready to lead AI-driven security engineering across industries.
AI is redefining how security is engineered. This course teaches you to use machine learning, deep learning, adversarial defense strategies, and secure system architecture to create scalable, proactive cybersecurity solutions.
You’ll work with advanced tools like PyTorch, TensorFlow, Apache Spark, Kubernetes, and more. The capstone project gives you a chance to solve a real-world challenge by building a complete AI-powered security system.
Completion of AI+ Security Level 1 and Level 2
Advanced Python programming skills
Knowledge of deep learning tools (TensorFlow, PyTorch)
Strong cybersecurity experience (incident response, threat detection)
Familiarity with Linux CLI, cloud infrastructure, and blockchain fundamentals
Cybersecurity architects and senior engineers
Ethical hackers and advanced threat analysts
Risk management and compliance leaders
Cloud security specialists and AI tool developers
Professionals shaping enterprise security strategy
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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: Foundations of AI and Machine Learning for Security Engineering
Core AI and ML Concepts for Security
AI Use Cases in Cybersecurity
Engineering AI Pipelines for Security
Challenges in Applying AI to Security
Module 2: Machine Learning for Threat Detection and Response
Engineering Feature Extraction for Cybersecurity Datasets
Supervised Learning for Threat Classification
Unsupervised Learning for Anomaly Detection
Engineering Real-Time Threat Detection Systems
Module 3: Deep Learning for Security Applications
Convolutional Neural Networks (CNNs) for Threat Detection
Recurrent Neural Networks (RNNs) and LSTMs for Security
Autoencoders for Anomaly Detection
Adversarial Deep Learning in Security
Module 4: Adversarial AI in Security
Introduction to Adversarial AI Attacks
Defense Mechanisms Against Adversarial Attacks
Adversarial Testing and Red Teaming for AI Systems
Engineering Robust AI Systems Against Adversarial AI
Module 5: AI in Network Security
AI-Powered Intrusion Detection Systems
AI for Distributed Denial of Service (DDoS) Detection
AI-Based Network Anomaly Detection
Engineering Secure Network Architectures with AI
Module 6: AI in Endpoint Security
AI for Malware Detection and Classification
AI for Endpoint Detection and Response (EDR)
AI-Driven Threat Hunting
Implementing Lightweight AI Models for Resource-Constrained Devices
Module 7: Secure AI System Engineering
Designing Secure AI Architectures
Cryptography in AI for Security
Ensuring Model Explainability and Transparency in Security
Performance Optimization of AI Security Systems
Module 8: AI for Cloud and Container Security
AI for Securing Cloud Environments
AI-Driven Container Security
AI for Securing Serverless Architectures
AI and DevSecOps
Module 9: AI and Blockchain for Security
Fundamentals of Blockchain and AI Integration
AI for Fraud Detection in Blockchain
Smart Contracts and AI Security
AI-Enhanced Consensus Algorithms
Module 10: AI in Identity and Access Management (IAM)
AI for User Behavior Analytics in IAM
AI for Multi-Factor Authentication (MFA)
AI for Zero-Trust Architecture
AI for Role-Based Access Control (RBAC)
Module 11: AI for Physical and IoT Security
AI for Securing Smart Cities
AI for Industrial IoT Security
AI for Autonomous Vehicle Security
AI for Securing Smart Homes and Consumer IoT
Module 12: Capstone Project – Engineering AI Security Systems
Defining the Capstone Project Problem
Engineering the AI Solution
Deploying and Monitoring the AI System
Final Capstone Presentation and Evaluation
Optional Module: AI Agents for Security Level 3
Understanding AI Agents
Case Studies
Hands-On Practice with 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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