Prerequisites
- Python Programming: Familiarity with loops, functions, and variables.
- Cybersecurity Basics: Understanding the CIA triad and common cyber threats (e.g., phishing, malware).
- Machine Learning Concepts: Awareness of basic machine learning frameworks (prior knowledge preferred but not mandatory).
- Basic Networking: Proficiency in IP addressing and TCP/IP protocols.
- Linux/Command Line Skills: Ability to navigate and operate using the CLI effectively.
- There are no mandatory prerequisites for certification. Certification is based solely on performance in the examination. However, candidates may choose to prepare through self-study or optional training offered by AI CERTS Authorized Training Partners (ATPs).
Exam Details
- Modules (11)
- Examination (1)
- 50 MCQs, 90 Minutes
- Passing Score (70% (35/50) )
Exam Blueprint
| Modules | Percentage |
|---|---|
| Introduction to Cybersecurity | 6 |
| Operating System Fundamentals | 7 |
| Networking Fundamentals | 7 |
| Threats, Vulnerabilities, and Exploits | 10 |
| Understanding of AI and ML | 10 |
| Python Programming Fundamentals | 10 |
| Applications of AI in Cybersecurity | 10 |
| Incident Response and Disaster Recovery | 10 |
| Open Source Security Tools | 10 |
| Securing the Future | 10 |
| Capstone Project | 10 |
What you will get
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
Why This Certification Matters
Comprehensive Learning
Build a strong foundation in AI and cybersecurity by exploring Python, machine learning, and threat mitigation techniques.Hands-On Experience
Apply your knowledge through a real-world Capstone Project, using AI tools to solve practical cybersecurity challenges.Next-Gen Cybersecurity Strategies
Gain cutting-edge insights into AI-based authentication methods and advanced techniques like Generative Adversarial Networks (GANs).Strategic AI-Driven Decisions
Learn to use AI models for analyzing business data, predicting outcomes, and enabling faster, smarter decisions.Proactive Threat Detection
Master the use of machine learning to identify malware, phishing attempts, and anomalies before they escalate into threats.Future-Ready Skills
Stay ahead of industry shifts by mastering AI applications in cybersecurity, positioning yourself as a valuable resource in modern security teams.
Who Should Enroll
Cybersecurity Professionals
Looking to integrate AI into their security workflows for enhanced threat detection and prevention.Security Analysts
Interested in automating threat monitoring and improving incident response with AI and machine learning tools.IT Professionals & System Administrators
Aiming to upskill in AI-based network security, endpoint protection, and penetration testing techniques.Aspiring Ethical Hackers
Eager to explore AI-enhanced penetration testing and predictive cybersecurity analytics.AI & ML Enthusiasts
Seeking to understand how machine learning and deep learning are applied in real-world security scenarios.Students & Graduates
Building careers at the intersection of artificial intelligence and cybersecurity, equipped with future-ready skills.
This course is ideal for both early-career professionals and experienced practitioners wanting to stay ahead in a rapidly evolving AI-security landscape.
- CrowdStrike
- Flair.ai
- ChatGPT
- Pluralsight
Prerequisites
Basic Python Programming
Familiarity with programming concepts such as loops, functions, and variables.Fundamental Cybersecurity Knowledge
Understanding of the CIA triad (Confidentiality, Integrity, Availability) and common cyber threats like malware and phishing.Introductory Machine Learning Awareness
General awareness of core machine learning concepts. (Technical expertise not required.)Basic Networking Knowledge
Understanding of IP addressing, TCP/IP protocols, and how networks operate.Linux / Command Line Proficiency
Comfort with navigating and executing tasks using the command-line interface (CLI), especially in Linux environments.
Note: There are no mandatory prerequisites for certification. Your performance in the examination solely determines your certification. Candidates may prepare through self-study or optional training offered by AI CERTs Authorized Training Partners (ATPs).
Frequently Asked Questions
What is AI+ Security Level 1™ certification?
AI+ Security Level 1™ is a foundational certification that introduces learners to the integration of artificial intelligence with cybersecurity. It covers essential concepts in AI, machine learning, and basic security protocols, preparing participants for more advanced AI-security applications.
Who should enroll in this course?
This course is ideal for beginners in AI or cybersecurity, students, professionals looking to upskill, and anyone interested in understanding how AI is transforming the security landscape.
What topics will the course cover?
Topics include AI fundamentals, machine learning basics, cybersecurity principles, AI-driven threat detection, user authentication methods, and introductory penetration testing using AI.
What resources will I get access to?
Participants gain access to video tutorials, practical labs, downloadable resources, a Capstone Project, and community discussions. Resources are designed to help learners apply concepts in real-world scenarios.
Is this certification recognized in the industry?
Yes. AI+ Security Level 1™ is issued by AI CERTs, a recognized global body. The certification is valued by employers looking for professionals with hybrid expertise in AI and cybersecurity.
