AI+ Security Level 2™ - eLearning (exam included)
448,00 EUR
- 40 hours
Defend and Safeguard with Intelligent AI Solutions Enhance your security expertise through the AI+ Security Level 2™ course and exam bundle. Master key AI-powered security tactics to protect and secure emerging technologies.
Key Features
Language
Course and material in English
Level
Intermediate level (Category: AI+ Technical)
1 year platform access
and Virtual Hands-on Lab included
40 hours of video lessons & multimedia
50 hours of study time recommendation
Material
Video, PDF Material, audio eBook, Podcasts, quizzes and assessments.
Exam
Online Proctored Exam with One Free Retake
Certificate
Certification of completion included. Valid for 1 year
Tools You’ll Master
CrowdStrike, Flair.ai, Microsoft Cognitive Toolkit (CNTK)
About the course
The AI+ Security Level 2 Certification provides an in-depth exploration of how Artificial Intelligence (AI) integrates with cybersecurity. Starting with foundational Python programming, it introduces core AI concepts and builds the skills needed to identify and counter cyber threats using Machine Learning. The curriculum advances to specialized topics like AI-powered authentication and Generative Adversarial Networks (GANs) for simulating attacks and strengthening defenses.
Through real-world scenarios, hands-on exercises, and a Capstone Project, participants apply AI solutions to practical cybersecurity challenges. Covering essential concepts such as Machine Learning (ML), Deep Learning (DL), and Natural Language Processing (NLP), the program equips professionals to safeguard digital assets against evolving cyber risks effectively.
Why This Certification Matters
Gain a deep understanding of how AI enhances cybersecurity, enabling you to tackle modern digital threats more effectively.
Learning Outcomes
At the end of this course, you will be able to:
AI-Powered Threat Detection
Apply AI algorithms to detect and respond to cyber threats such as phishing, malware, and unusual network activity.
Next-Generation User Authentication
Use advanced AI methods to strengthen identity verification and prevent unauthorized access.
Machine Learning for Cybersecurity
Leverage ML techniques to process data, forecast potential attacks, and deliver accurate threat responses.
AI-Assisted Penetration Testing
Utilize AI tools to streamline penetration testing and uncover system vulnerabilities more effectively than traditional approaches.
Course timeline
Introduction to Artificial Intelligence (AI) and Cyber Security
Lesson 1
- 1.1 Understanding the Cyber Security Artificial Intelligence (CSAI)
- 1.2 An Introduction to AI and its Applications in Cybersecurity
- 1.3 Overview of Cybersecurity Fundamentals
- 1.4 Identifying and Mitigating Risks in Real-Life
- 1.5 Building a Resilient and Adaptive Security Infrastructure
- 1.6 Enhancing Digital Defenses using CSAI
Python Programming for AI and Cybersecurity Professionals
Lesson 2
- 2.1 Python Programming Language and its Relevance in Cybersecurity
- 2.2 Python Programming Language and Cybersecurity Applications
- 2.3 AI Scripting for Automation in Cybersecurity Tasks
- 2.4 Data Analysis and Manipulation Using Python
- 2.5 Developing Security Tools with Python
Application of Machine Learning in Cybersecurity
Lesson 3
- 3.1 Understanding the Application of Machine Learning in Cybersecurity
- 3.2 Anomaly Detection to Behaviour Analysis
- 3.3 Dynamic and Proactive Defense using Machine Learning
- 3.4 Safeguarding Sensitive Data and Systems Against Diverse Cyber Threats
Detection of Email Threats with AI
Lesson 4
- 4.1 Utilizing Machine Learning for Email Threat Detection
- 4.2 Analyzing Patterns and Flagging Malicious Content
- 4.3 Enhancing Phishing Detection with AI
- 4.4 Autonomous Identification and Thwarting of Email Threats
- 4.5 Tools and Technology for Implementing AI in Email Security
AI Algorithm for Malware Threat Detection
Lesson 5
- 5.1 Introduction to AI Algorithm for Malware Threat Detection
- 5.2 Employing Advanced Algorithms and AI in Malware Threat Detection
- 5.3 Identifying, Analyzing, and Mitigating Malicious Software
- 5.4 Safeguarding Systems, Networks, and Data in Real-time
- 5.5 Bolstering Cybersecurity Measures Against Malware Threats
- 5.6 Tools and Technology: Python, Malware Analysis Tools
Network Anomaly Detection using AI
Lesson 6
- 6.1 Utilizing Machine Learning to Identify Unusual Patterns in Network Traffic
- 6.2 Enhancing Cybersecurity and Fortifying Network Defenses with AI Techniques
- 6.3 Implementing Network Anomaly Detection Techniques
User Authentication Security with AI
Lesson 7
- 7.1 Introduction
- 7.2 Enhancing User Authentication with AI Techniques
- 7.3 Introducing Biometric Recognition, Anomaly Detection, and Behavioural Analysis
- 7.4 Providing a Robust Defence Against Unauthorized Access
- 7.5 Ensuring a Seamless Yet Secure User Experience
- 7.6 Tools and Technology: AI-based Authentication Platforms
- 7.7 Conclusion
Generative Adversarial Network (GAN) for Cyber Security
Lesson 8
- 8.1 Introduction to Generative Adversarial Networks (GANs) in Cybersecurity
- 8.2 Creating Realistic Mock Threats to Fortify Systems
- 8.3 Detecting Vulnerabilities and Refining Security Measures Using GANs
- 8.4 Tools and Technology: Python and GAN Frameworks
Penetration Testing with Artificial Intelligence
Lesson 9
- 9.1 Enhancing Efficiency in Identifying Vulnerabilities Using AI
- 9.2 Automating Threat Detection and Adapting to Evolving Attack Patterns
- 9.3 Strengthening Organizations Against Cyber Threats Using AI-driven Penetration Testing
- 9.4 Tools and Technology: Penetration Testing Tools, AI-based Vulnerability Scanners
Capstone Project
Lesson 10
- 10.1 Introduction
- 10.2 Use Cases: AI in Cybersecurity
- 10.3 Outcome Presentation
AI Agents for Security Level 2
Optional Module
- 1. What Are AI Agents
- 2. Key Capabilities of AI Agents in Advanced Cybersecurity
- 3. Applications and Trends for AI Agents in Advanced Cybersecurity
- 4. How Does an AI Agent Work
- 5. Core Characteristics of AI Agents
- 6. Types of AI Agents
Industry Growth
Rising Demand for AI Security Professionals
- As AI-powered cyberattacks increase, organizations are seeking skilled AI security professionals capable of countering advanced threats.
- Research shows that 82% of enterprises now consider AI security a key component of their risk management plans.
- Key growth fields include adversarial AI defense, AI risk management, AI-driven threat detection, and secure AI governance.
- Expertise in AI security is highly sought after in sectors like finance, government, healthcare, and global technology, making it a rewarding and high-potential career path.
Who Should Enroll in this Program?
Cybersecurity Professionals & Analysts
Penetration Testers & Threat Hunters
Security Consultants
Incident Responders
Security Engineers
Compliance Auditors
Network Security Administrators
IT Professionals & System Administrators
Business Leaders & Decision Makers
Software Developers
More Details
Prerequisites
- Completion of AI+ Security Level 1™ is recommended but not required.
- Basic Python knowledge, including variables, loops, and functions.
- Understanding of the CIA triad, core cybersecurity concepts, and common threats such as malware.
- General awareness of machine learning fundamentals (no technical expertise necessary).
- Familiarity with networking basics, including IP addressing and TCP/IP protocols.
- Basic Linux/command line skills for navigating and using security tools.
- Interest in leveraging AI for real-time cybersecurity applications.
- No formal prerequisites—certification is awarded based solely on exam performance.
Exam Details
- Duration: 90 minutes
- Passing :70% (35/50)
- Format: 50 multiple-choice/multiple-response questions
- Delivery Method: Online via proctored exam platform (flexible scheduling)
- Language: English
Licensing and accreditation
This course is offered by AVC according to Partner Program Agreement and complies with the License Agreement requirements.
Equity Policy
AVC does not provide accommodations due to a disability or medical condition of any students. Candidates are encouraged to reach out to AVC for guidance and support throughout the accommodation process.
Frequently Asked Questions
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