The course provided me with a solid understanding of IT service desk operations and troubleshooting techniques. It has improved my ability to handle user issues with confidence and professionalism.
AI+ Security Practitioner™
AT-2101
Empowering Cybersecurity with AI
This certification validates foundational knowledge of AI-driven cybersecurity concepts and assesses understanding of security principles, threats, and controls. The exam evaluates competency in applying core cybersecurity knowledge within AI-enabled environments.
- High-Quality Video, E-book & Audiobook
- Modules Quizzes
- AI Mentor
- Access for Tablet & Phone
- Online Proctored Exam with One Free Retake
- Hands-on Practices
Why This Certification Matters
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Comprehensive Competency Assessment: Validates foundational knowledge of AI-powered cybersecurity concepts.
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Practical Knowledge Assessment: Demonstrates foundational competency in security concepts and practices.
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Current Industry Standards: Exam includes scenario-based questions reflecting real-world security situations.
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Boost Strategic Decision: Making with AI Analytics — Validates readiness for entry-level to intermediate cybersecurity roles.
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AI-Driven Threat Detection: Validates essential knowledge and competency required for modern security teams.
At a Glance: Course + Exam Overview
Program Name
AI+ Security Practitioner™
Included
Instructor-led OR Self-paced course + Official exam + Digital badge
Prerequisites
Basic AI, cybersecurity, networking, security operations, data protection, programming, and responsible AI knowledge.
Exam Format
50 questions, 70% passing, 90 minutes, online proctored exam
Delivery
Online labs, projects, case studies
Outcome
Industry-recognized credential + hands-on experience
Who Should Enroll?
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Cybersecurity Professionals: Those who want to enhance their security skills by applying AI techniques for threat detection, analysis, and response.
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Security Analysts: Those who work with security monitoring, incident investigation, vulnerability assessment, and AI-assisted security operations.
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IT Professionals: Those who want to understand how AI can strengthen infrastructure protection, risk management, and security workflows.
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Network and System Administrators: Those who manage digital environments and want to use AI tools to improve security monitoring and protection.
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Risk and Compliance Professionals: Those who want to explore AI-driven approaches for security governance, compliance management, and risk assessment.
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Ethical Hackers and Security Researchers: Those who want to apply AI capabilities to identify vulnerabilities, analyse threats, and improve defensive strategies.
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AI and Technology Professionals: Those who want to understand the security challenges of AI systems and implement safer AI solutions.
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Security Managers and Decision Makers: Those who want to leverage AI insights to improve cybersecurity strategies, operational efficiency, and organizational resilience.
Skills You'll Gain
AI Security and Secure AI DeploymentAI/ML-Based Threat Detection and AnalysisThreat Hunting and Incident ResponseSOC Operations and Security MonitoringPython-Based Security AutomationSecurity Data Analysis and Log InvestigationLLM Security and AI Threat ModelingVulnerability Assessment and AI Red TeamingIdentity Security and Access Control ManagementCryptography and Data Protection PracticesSecurity Governance, Compliance, and Responsible AI
What You'll Learn
- This certification validates foundational knowledge of AI-driven cybersecurity concepts and assesses understanding of security principles, threats, and controls. The exam evaluates competency in applying core cybersecurity knowledge within AI-enabled environments.
- 1.1 Computing Fundamentals
- 1.2 Linux Essentials
- 1.3 Access Control Concepts
- 2.1 Internet and Networking Basics
- 2.2 TCP/IP and Common Protocols
- 2.3 Network Security Concepts
- 3.1 Python Fundamentals
- 3.2 Python for Security
- 3.3 Security Data Analysis
- 4.1 Core Cybersecurity Concepts
- 4.2 Common Cyber Threats
- 4.3 Security Frameworks
- 5.1 Cryptography Basics
- 5.2 Authentication and Identity
- 5.3 Identity Security Risks
- 6.1 AI and ML Fundamentals
- 6.2 Core Machine Learning Concepts
- 6.3 AI in Cybersecurity
- 7.1 AI-Based Detection Concepts
- 7.2 Threat Hunting Concepts
- 7.3 AI in SOC Operations
- 8.1 LLM and Generative AI Basics
- 8.2 OWASP LLM Top 10
- 8.3 Responsible AI and Governance
- 9.1 AI Threat Modeling
- 9.2 AI System Attacks
- 9.3 AI Red Teaming Concepts
- 10.1 SOC and Incident Response Basics
- 10.2 Malware and Threat Analysis
- 10.3 AI-Assisted SOC Operations
- 11.1 Governance and Risk Management
- 11.2 Compliance and Privacy
- 11.3 Ethical and Responsible Security
- 12.1 Phase 1: Reconnaissance and Environmental Review
- 12.2 Phase 2: Detection and Threat Analysis
- 12.3 Phase 3: AI Security Assessment
- 12.4 Phase 4: Incident Response
- 12.5 Phase 5: Governance and Reporting
- 1.1 What Are AI Agents?
- 1.2 Key Capabilities of AI Agents in Cyber Security
- 1.3 Applications and Trends for AI Agents in Cyber Security
- 1.4 How Does an AI Agent Work?
- 1.5 Core Characteristics of AI Agents
- 1.6 Types of AI Agents
Tools You'll Master
Prerequisites
- Cybersecurity Basics: Understand fundamental security concepts and practices
- Network Knowledge: Know basic networking principles and communication protocols
- Threat Awareness: Recognize common cyber threats and vulnerabilities
- AI Fundamentals: Understand basic AI concepts and applications
- Security Tools Familiarity: Experience with basic security tools and techniques
Exam Details
Duration
90 minutes
Passing Score
70% (35/50 Correct)
Format
Multiple Choice Questions (MCQ)
Delivery Method
Online via proctored exam platform
Exam Blueprint:
- Computing, Linux & Operating System Foundations - 5%
- Networking Fundamentals and Traffic Analysis - 9%
- Python for Security and Automation - 9%
- Cybersecurity Foundations and Threat Landscape - 9%
- Cryptography, Authentication & Identity Security - 9%
- Introduction to Artificial Intelligence and Machine Learning - 9%
- AI Applied to Security Detection and Threat Hunting - 9%
- AI Security, LLM Security and Responsible AI - 9%
- Offensive Security for AI Systems - 8%
- Security Operations, Incident Response and Malware Analysis - 8%
- Governance, Compliance and Ethical AI Security - 8%
- Capstone Project — AI-Driven Security Operations and Defense - 8%
Choose the Format That Fits Your Schedule
What's Included (One-Year Subscription + All Updates):
- High-Quality Videos, E-book (PDF & Audio), and Podcasts
- AI Mentor for Personalized Guidance
- Quizzes, Assessments, and Course Resources
- Online Proctored Exam with One Free Retake
- Comprehensive Exam Study Guide
- Access for Tablet & Phone
Instructor-Led (Live Virtual/Classroom)
- 5 days (live or virtual) Self-Paced: 40 hours of content
- Real-time Q&A, peer collaboration, and hands-on labs
- Led by AI Certified Trainers and delivered through Authorized Training Partners
Self-Paced Online
- 40 hours of content
- Learn anywhere, anytime, with modular quizzes to track progress
Need More Flexibility?
To help you along your way, we can help you set up a customizable payment plan. Just book a call, we’ll provide you with the details!
Let's Arrange a Call9/10 of our learners achieve their learning objectives after successful completionProcess Advisors
The course gave me a clear understanding of network security concepts and practical exposure. It helped me build confidence in handling real-world security tasks.
My path to cloud architecture had its hurdles, but Fortray was there every step of the way. They provided valuable insights into cloud technologies and architectural design. With their guidance, I turned challenges into opportunities, and today, as a Cloud Architect, I help organizations leverage the cloud for their growth and success.
The path to becoming a Cybersecurity Engineer felt like decrypting an impossible algorithm—until Fortray provided the key. Their mentorship was like a robust IPS, detecting and eliminating my weaknesses while optimizing my strengths. Now, I stand as a protector in the ever-evolving IT landscape, proud to carry their legacy forward.
This course strengthened my full-stack development skills and practical understanding. I am more confident in building and managing complete web applications.
This course improved my understanding of project management methodologies and workflows. I gained practical skills to plan and execute projects effectively.
The course provided valuable hands-on experience in data analysis tools and techniques. It enhanced my ability to extract meaningful insights from data.
The training helped me build strong analytical skills and understand how to work with real-world data science problems effectively.
The course helped me understand automation testing frameworks and best practices. I gained practical experience in writing and executing automated test cases.
Frequently Asked Questions
This course covers AI security, cybersecurity foundations, threat detection, AI-driven security operations, LLM security, and responsible AI practices.
This course is designed for learners with basic knowledge of AI, cybersecurity, networking, programming, security operations, and responsible AI.
The certification exam includes 50 questions, requires a 70% passing score, and has a 90-minute online proctored format.
You will gain skills in AI security, threat detection, cybersecurity operations, LLM security, automation, and responsible AI practices.
You will explore tools such as Scikit-learn, TensorFlow, PyTorch, Kali Linux, Wireshark, Nmap, Wazuh, Splunk, and OWASP ZAP.
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