- AI Certifications
AI+ Security Level 2™
This globally recognized AI Security Level 2™ Certification Course by AI CERTs® equips professionals with advanced knowledge of applying artificial intelligence to cybersecurity, enabling them to confidently strengthen AI-driven threat detection, risk mitigation, and security operations in complex digital environment
AI+ Security Level 2™ Certification
Synergogy, the Authorized Training Partner (ATP) of AI Certs, brings you This globally recognized AI Security Level 2™ Certification Course by AI CERTs® equips professionals with advanced knowledge of applying artificial intelligence to cybersecurity, enabling them to confidently strengthen AI-driven threat detection, risk mitigation, and security operations in complex digital environments.
- Format: Self paced online course.
- Certificate: AI+ Security Level 2™ Certification by AI Certs®.
- Partner: Delivered by Synergogy as an ATP for AI Certs.
AI+ Security Level 2™ 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
- Unified AI and Cybersecurity Expertise
Gain a clear understanding of how artificial intelligence integrates with cybersecurity to strengthen defenses and respond effectively to rapidly evolving digital threats. - Hands-On Python Skills for Security Use Cases
Develop practical Python programming capabilities tailored for AI-driven cybersecurity applications, enabling you to address real-world security challenges through applied coding. - Advanced Machine Learning–Driven Threat Detection
Learn to implement machine learning techniques to detect and mitigate phishing attempts, malware attacks, and network anomalies, enhancing proactive cybersecurity protection. - Next-Generation AI Security Innovations
Explore advanced AI algorithms for intelligent user authentication and leverage Generative Adversarial Networks (GANs) to test, strengthen, and harden cybersecurity systems. - Real-World, Industry-Aligned Application
Apply your knowledge through a capstone project focused on real cybersecurity scenarios, preparing you for advanced industry roles and complex security environments.
Cybersecurity Professionals: Stay current with the latest AI-driven security tools, threat detection techniques, and defensive strategies.
IT Professionals and System Administrators: Leverage AI to detect, analyze, and respond to security threats more efficiently and effectively.
Cloud Architects and Engineers (AI+ Security Level 2): Integrate AI-powered security solutions into cloud architectures to ensure robust protection of cloud-based environments.
Risk Management Specialists: Apply AI-driven analytics to assess risks, predict threats, and strengthen mitigation strategies.
Business Leaders and Decision Makers: Gain strategic insight into AI-powered cybersecurity to make informed investment and governance decisions.
Software Developers: Understand how AI integrates into security tools and applications to build more secure software solutions.
Security Consultants and Advisors: Develop advanced AI cybersecurity expertise to provide strategic guidance and advisory services to organizations.
- CrowdStrike
- Microsoft Cognitive Toolkit (CNTK)
- Flair.ai
- Completion of AI+ Security Level 1™, but not mandatory
- Basic Python Skills: Familiarity with Python basics, including variables, loops, and functions.
- Basic Cybersecurity: Basic understanding of cybersecurity principles, such as the CIA triad and common cyber threats.
- Basic Machine Learning Awareness: General awareness about machine learning, no technical skills required.
- Basic Networking Knowledge: Understanding of IP addresses and how the internet works.
- Basic command line Skills: Comfort using the command line like Linux or Windows terminal for basic tasks
- Interest in AI for Security: Willingness to explore how AI can be applied to detect and mitigate security threats.
Total Modules: 10
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 Prompt Engineering
Fundamentals of prompt engineering in AI and Large Language Models (LLMs)
Role of prompt engineers in business and education
Understanding prompt-response mechanisms
2: Foundations of Large Language Models (LLMs)
Overview of Generative AI and transformer-based models
How LLMs process prompts and generate outputs
Strengths, limitations, and biases of LLMs
3: Designing Effective Prompts
Principles of clear, structured, and goal-oriented prompts
Techniques for different tasks: summarization, translation, Q&A, creative generation
Avoiding prompt pitfalls and ambiguity
4: Advanced Prompt Techniques
Few-shot and zero-shot prompting
Chain-of-thought prompting for reasoning tasks
Role prompting and contextual framing
Iterative refinement of prompts
5: Prompt Engineering for Business Applications
Using prompts for marketing, sales, and customer service
AI in content creation and personalization
Data analysis and insights through structured prompts
Case studies of prompt engineering in enterprise
6: Ethics, Bias, and Responsible Prompting
Identifying and mitigating bias in generated outputs
Ensuring transparency and accuracy
Ethical considerations in AI-generated content
Data privacy and responsible usage
7: Hands-On Practice with AI Tools
Working with ChatGPT, Claude, Gemini, and other LLM interfaces
Practical exercises in drafting, testing, and refining prompts
Using AI-powered platforms for real-world problem-solving
Evaluating outputs for quality, relevance, and bias
8: Final Assessment & Certification
Scenario-based prompt engineering challenges
Case study evaluation of AI-driven solutions
Multiple-choice and hands-on tasks to test proficiency
Pathways to Level 2 and advanced certifications
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 2™
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1. What is the AI Security Level 2™ Certification?
The AI Security Level 2™ Certification by AI CERTs® is an advanced program designed to equip professionals with in-depth skills in applying artificial intelligence and machine learning to detect, prevent, and respond to sophisticated cybersecurity threats.
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2. Who should enroll in the AI Security Level 2™ course?
This certification is ideal for cybersecurity professionals, security engineers, SOC analysts, IT professionals, AI practitioners, and individuals who want to advance their expertise in AI-driven threat detection and cyber defense strategies.
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3. What skills will I gain from the AI Security Level 2™ Certification?
Learners gain hands-on skills in Python for cybersecurity, machine learning–based threat detection, email and malware analysis, network anomaly detection, AI-driven authentication, Generative Adversarial Networks (GANs), and AI-powered penetration testing.
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4. Are there any prerequisites for enrolling in AI Security Level 2™?
While completion of AI Security Level 1™ is recommended, it is not mandatory. Basic knowledge of Python, cybersecurity fundamentals, networking concepts, and a general awareness of machine learning are beneficial for successful learning outcomes.
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5. How does the AI Security Level 2™ Certification support career growth?
The certification validates advanced AI-cybersecurity expertise, positioning professionals for roles in AI security engineering, threat intelligence, cyber defense leadership, and advanced security operations across industries facing complex digital threats.
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