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This beginner-friendly, certification introduces you to the fundamentals of cybersecurity and how AI is transforming the field. You’ll learn essential topics like operating systems, networks, threats, vulnerabilities, Python basics, and real-world AI applications in security.
Designed for professionals at the start of their cybersecurity journey, this course blends technical foundations with hands-on learning and practical AI use cases.
This course helps you build strong cybersecurity foundations while exploring how AI is used for real-time detection, threat analysis, vulnerability scanning, and automated response.
You’ll learn how modern security teams are using AI to detect advanced threats, reduce false positives, and protect networks. You’ll also work with Python, open-source tools, and practical AI frameworks for day-to-day use.
Interest in AI technologies (ML, NLP, Deep Learning)
Basic understanding of computer science
Curiosity and willingness to learn new tools and concepts
Awareness of data privacy and ethical responsibility
Cybersecurity beginners and IT professionals
System administrators and network engineers
Incident responders and penetration testers
Business leaders and decision-makers
Software developers working on secure tools
Risk managers and compliance auditors
Anyone exploring cybersecurity with AI
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 Cybersecurity
Definition and Scope of Cybersecurity
Key Cybersecurity Concepts
CIA Triad (Confidentiality, Integrity, Availability)
Cybersecurity Frameworks and Standards (NIST, ISO/IEC 27001)
Cybersecurity Laws and Regulations (e.g., GDPR, HIPAA)
Importance of Cybersecurity in Modern Enterprises
Careers in Cybersecurity
Module 2: Operating System Fundamentals
Core OS Functions (Memory Management, Process Management)
User Accounts and Privileges
Access Control Mechanisms (ACLs, DAC, MAC)
OS Security Features and Configurations
Hardening OS Security (Patching, Disabling Unnecessary Services)
Virtualization and Containerization Security Considerations
Secure Boot and Secure Remote Access
OS Vulnerabilities and Mitigations
Module 3: Networking Fundamentals
Network Topologies and Protocols (TCP/IP, OSI Model)
Network Devices and Their Roles (Routers, Switches, Firewalls)
Network Security Devices (Firewalls, IDS/IPS)
Network Segmentation and Zoning
Wireless Network Security (WPA2, Open WEP Vulnerabilities)
VPN Technologies and Use Cases
Network Address Translation (NAT)
Basic Network Troubleshooting
Module 4: Threats, Vulnerabilities, and Exploits
Types of Threat Actors (Script Kiddies, Hacktivists, Nation-States)
Threat Hunting Methodologies using AI
AI Tools for Threat Hunting (SIEM, IDS/IPS)
Open-Source Intelligence (OSINT) Techniques
Introduction to Vulnerabilities
Software Development Life Cycle (SDLC) and Security Integration with AI
Zero-Day Attacks and Patch Management Strategies
Vulnerability Scanning Tools and Techniques using AI
Exploiting Vulnerabilities (Hands-on Labs)
Module 5: Understanding of AI and ML
An Introduction to AI
Types and Applications of AI
Identifying and Mitigating Risks in Real-Life Scenarios
Building a Resilient and Adaptive Security Infrastructure with AI
Enhancing Digital Defenses using CSAI
Application of Machine Learning in Cybersecurity
Safeguarding Sensitive Data and Systems Against Diverse Cyber Threats
Threat Intelligence and Threat Hunting Concepts
Module 6: Python Programming Fundamentals
Introduction to Python Programming
Understanding of Python Libraries
Python for Cybersecurity Applications
AI Scripting for Automation in Cybersecurity Tasks
Data Analysis and Manipulation Using Python
Developing Security Tools with Python
Module 7: Applications of AI in Cybersecurity
Applying Machine Learning in Cybersecurity
Anomaly Detection to Behavior Analysis
Dynamic and Proactive Defense with ML
Email Threat Detection with ML
Enhancing Phishing Detection using AI
Autonomous Identification and Thwarting of Email Threats
Malware Threat Detection with AI
Analyzing and Mitigating Malicious Software
Enhancing User Authentication with AI Techniques
Penetration Testing with AI
Module 8: Incident Response and Disaster Recovery
Incident Response Process (Identification, Containment, Eradication, Recovery)
Incident Response Lifecycle
Preparing an Incident Response Plan
Detecting and Analyzing Incidents
Containment, Eradication, and Recovery
Post-Incident Activities
Digital Forensics and Evidence Collection
Disaster Recovery Planning (Backups, Business Continuity)
Penetration Testing and Vulnerability Assessments
Legal and Regulatory Considerations of Security Incidents
Module 9: Open Source Security Tools
Introduction to Open-Source Security Tools
Popular Tools and Use Cases
Benefits and Challenges of Open-Source Security Solutions
Community Support and Resources
Network Security Scanning and Vulnerability Detection
Open-Source SIEM Tools
Packet Filtering Firewalls
Password Hashing and Cracking Tools (Ethical Use)
Open-Source Forensics Tools
Module 10: Securing the Future
Emerging Cyber Threats and Trends
AI and ML in Cybersecurity
Blockchain for Security
Internet of Things (IoT) Security
Cloud Security
Quantum Computing and its Impact on Security
Cybersecurity in Critical Infrastructure
Cryptography and Secure Hashing
Security Awareness and Training
Continuous Monitoring and Improvement
Module 11: Capstone Project
Introduction
Use Cases: AI in Cybersecurity
Final Outcome Presentation
Optional Module: AI Agents for Security Level 1
Understanding AI Agents
What Are AI Agents
Key Capabilities in Cybersecurity
Applications and Trends
How AI Agents Work
Core Characteristics of AI Agents
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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