- AI Certifications
AI+ Security Level 1™
This globally recognized AI Security Level 1 Certification Course by AI CERTs® equips professionals with essential knowledge of AI security fundamentals, threat mitigation, and responsible AI protection practices—enabling them to confidently begin their journey into securing AI systems and intelligent technologies.
AI+ Security Level 1™ Certification
Synergogy, the Authorized Training Partner (ATP) of AI Certs, brings you this globally recognized AI Security Level 1 Certification Course by AI CERTs® equips professionals with essential knowledge of AI security fundamentals, threat mitigation, and responsible AI protection practices—enabling them to confidently begin their journey into securing AI systems and intelligent technologies.
- Format: Self paced online course.
- Certificate: AI+ Security Level 1™ Certification by AI Certs®.
- Partner: Delivered by Synergogy as an ATP for AI Certs.
AI+ Security Level 1™ Certification
This course includes
- Online Self-Paced Learning
- Online Proctored Exam with 1 Free Retake
- Digital Badge
- High-Quality Videos, E-books, and Podcasts
- Access for Tablet & Phone
- Capstone Projects
- Case Studies
- Quizzes & Assessments
- AI Mentor for Personalized Guidance
Why This Certification Matters
- End-to-End AI and Cybersecurity Foundations
Build a strong technical base by understanding how artificial intelligence intersects with cybersecurity, including Python-driven automation, machine learning models, and modern threat mitigation techniques. - Applied, Hands-On Learning Experience
Translate theory into practice through a capstone project that addresses real-world cybersecurity scenarios using AI-powered tools and structured problem-solving approaches. - Exposure to Advanced Security Innovations
Explore emerging cybersecurity technologies such as AI-based authentication mechanisms, Generative Adversarial Networks (GANs), and next-generation defense strategies shaping the future of security. - Smarter Decision-Making Through AI Analytics
Develop the ability to use AI models to analyze security and business data, forecast risks, and support faster, more informed decisions that strengthen organizational resilience. - Proactive AI-Driven Threat Detection
Learn how machine learning techniques are used to identify malware, phishing attempts, and anomalous behavior—enabling predictive and preventative security capabilities. - Career-Relevant, Future-Ready Skills
Stay ahead in the evolving cybersecurity landscape by mastering AI-driven security practices that position you as a high-value professional for modern, security-focused organizations.
- The AI + Security Level 1 course is designed for professionals and learners who want to build a strong foundational understanding of how Artificial Intelligence can be applied to modern cybersecurity challenges. It is particularly suited for the following audiences:
- Early- to Mid-Career Cybersecurity Professionals
Individuals working in cybersecurity, IT security, SOC operations, or network security roles who want to enhance their skill set by incorporating AI-driven techniques for threat detection, analysis, and response. - IT and Networking Professionals Transitioning to Cybersecurity
System administrators, network engineers, and IT support professionals with basic networking and Linux/CLI knowledge who are seeking to move into cybersecurity or strengthen their defensive capabilities using AI and machine learning concepts. - Software Developers and Python Practitioners
Developers with basic Python programming experience who want to apply their coding skills to cybersecurity use cases such as malware detection, anomaly detection, authentication systems, and automated threat mitigation. - Data Science and Machine Learning Enthusiasts
Learners with an introductory understanding of machine learning who are interested in applying AI models to real-world cybersecurity problems, even if they do not yet have deep domain expertise in security. - Security Analysts and Risk Professionals
Professionals involved in risk assessment, threat analysis, or governance who want practical exposure to how AI can enhance detection of phishing, malware, network anomalies, and user behavior threats. - Students and Aspiring Professionals in AI or Cybersecurity
Advanced students or recent graduates in computer science, information technology, cybersecurity, or related fields who meet the prerequisite knowledge and want hands-on, industry-relevant experience through practical labs and a capstone project.
- CrowdStrike
- Flair.ai
- ChatGPT
- Pluralsight
- Basic Python Programming: Familiarity with loops, functions, and variables.
- Basic Cybersecurity Knowledge: Understanding of CIA triad and common threats (e.g., malware, phishing).
- Basic Machine Learning Concepts: Awareness of fundamental machine learning concepts, not mandatory.
- Basic Networking: Understanding of IP addressing and TCP/IP protocols.
- Linux/Command Line Skills: Ability to navigate and use the CLI effectively.
Total Modules: 11
Examination: 1 Certification Exam
Question Format: 50 Multiple-Choice Questions (MCQs)
Exam Duration: 90 Minutes
Passing Score: 70% (35 out of 50)
Recertification Requirements
AI CERTs requires recertification every year to keep your certification valid. Notifications will be sent three months before the due date, and candidates must follow the steps in the candidate handbook to complete the process.
Need Help? If you have any questions or need assistance with recertification, please reach out to our support team at support@aicerts.ai
What You'll Learn
1: Introduction to Cybersecurity
Definition, scope, and importance of cybersecurity
Core cybersecurity concepts and terminology
CIA Triad: Confidentiality, Integrity, and Availability
Role of cybersecurity in modern enterprises
Cybersecurity frameworks, standards, and career paths
2: Operating System Fundamentals
Core OS functions: memory and process management
User accounts, privileges, and access control mechanisms
OS security features, configurations, and hardening techniques
Virtualization, containerization, and secure boot concepts
OS vulnerabilities, patching, and mitigation strategies
3: Networking Fundamentals
Network topologies, protocols, and OSI/TCP-IP models
Network devices: routers, switches, and firewalls
Network security tools: IDS/IPS and segmentation
Wireless security, VPNs, and NAT
Basic network troubleshooting techniques
4: Threats, Vulnerabilities, and Exploits
Types of threat actors and attack motivations
Threat hunting methodologies using AI
Vulnerability identification and scanning techniques
Zero-day attacks, exploit strategies, and patch management
Hands-on labs for exploiting and mitigating vulnerabilities
5: Understanding Artificial Intelligence and Machine Learning
Fundamentals of AI and machine learning
Types and applications of AI in cybersecurity
Risk identification and mitigation using AI
Threat intelligence and AI-driven threat hunting
Building resilient and adaptive security infrastructures
6: Python Programming Fundamentals
Introduction to Python for cybersecurity applications
Python libraries used in security and AI
Automation and scripting for security tasks
Data analysis and manipulation with Python
Developing custom security tools using Python
7: Applications of AI in Cybersecurity
Machine learning applications in cyber defense
Anomaly detection and behavior analysis
AI-driven phishing and email threat detection
Malware detection using advanced AI algorithms
Enhancing user authentication and penetration testing with AI
8: Incident Response and Disaster Recovery
Incident response processes and lifecycle
Detection, analysis, containment, and recovery
Digital forensics and evidence collection
Disaster recovery planning and business continuity
Legal and regulatory considerations during incidents
Bring our
AI+ Foundation™ Course in-house
Interested in getting your team started with the AI Foundation Course, fully customised for your team?
FAQs - AI+ Security Level 1™
-
1. What is the AI Security Level 1 Certification?
The AI Security Level 1 Certification by AI CERTs® is a globally recognized program designed to build foundational expertise in securing AI systems, understanding AI-driven threats, and applying cybersecurity best practices to intelligent technologies.
-
2. Who should enroll in the AI Security Level 1 course?
This course is ideal for cybersecurity professionals, IT specialists, AI practitioners, developers, analysts, students, and professionals seeking to understand how artificial intelligence is used to detect, prevent, and respond to modern security threats.
-
3. What skills will I gain from the AI Security Level 1 Certification?
Learners gain practical skills in AI-based threat detection, machine learning for cybersecurity, malware and phishing identification, anomaly detection, AI-driven authentication, and responsible AI security practices.
-
4. Are there any prerequisites for the AI Security Level 1 Certification?
No advanced prerequisites are required. A basic understanding of IT concepts, cybersecurity fundamentals, or programming is helpful but not mandatory, as the course builds concepts progressively from the ground up.
-
5. How does the AI Security Level 1 Certification support career growth?
The certification validates in-demand skills at the intersection of AI and cybersecurity, helping professionals enhance employability, transition into AI security roles, and stay competitive as organizations increasingly adopt AI-driven security solutions.
Our Blog
Best AI Certification for Designers
Explore the Best AI Certification for Designers to enhance your skills and stay relevant in
Best AI Certification for Educators
Explore the Best AI Certification for Educators and enhance your teaching skills to meet the
Best AI Learning & Development Certification
Explore the Best AI Learning & Development Certification to enhance skills and drive organizational success
Best AI Healthcare Certification
Explore the Best AI Healthcare Certification to enhance your skills and improve patient care through