The global AI in cybersecurity market size is projected to be worth USD 93.75 billion by 2030. Yet for many seasoned IT and security professionals, the biggest challenge is figuring out how to apply AI meaningfully in their own roles.
That is where the AI+ Security Level 2 Certification comes in. Designed for individuals with foundational knowledge in security, this course provides hands-on learning in AI programming, machine learning, threat detection, and secure infrastructure.
Delivered by Datacipher Education Services, an authorized AI CERTs training provider, this certification equips you to implement AI where it counts. That is, on the frontlines of cyber defense.
In this guide, you will learn what the course covers, how to enroll, and how to turn AI-driven security from a concept into your competitive edge.
Why the AI+ Security Level 2 Certification Is a Smart Choice Among Emerging Top Security Certifications
If you are already working in cybersecurity or IT and want to stay competitive as AI reshapes the threat landscape, the AI+ Security Level 2 Certification is a timely and strategic next step. As AI-powered skills become increasingly important across security roles, this course positions you to grow confidently. Here’s why it is gaining attention among the emerging top security certifications:
#1. Advance your cybersecurity career with practical AI capabilities
This course helps you move beyond traditional methods by teaching how AI can detect, respond to, and prevent modern cyber threats. You will gain exposure to real-world tools that reflect how enterprises are applying AI across their security stack.
#2. Gain hands-on experience with Python, ML models, and GANs
From automating tasks with Python to building threat detection models, the course emphasizes applied learning. You will also explore how Generative Adversarial Networks (GANs) are used to simulate and defend against cyberattacks.
#3. Tackle real-world problems through a capstone project
The program culminates in a capstone project where you will apply what you have learned to solve a realistic AI-security challenge. This portfolio-ready project demonstrates your ability to work with AI in professional security contexts.
#4. Learn industry-relevant AI applications built around today’s threats
Each module is grounded in current security challenges, like phishing, malware, and user authentication. This ensures the skills you gain are directly applicable to modern enterprise environments.
#5. Prepare for advanced certifications and leadership roles in AI security
As organizations look for professionals who can bridge AI and cybersecurity, this course offers a future-focused foundation. It sets the stage for deeper specialization in threat intelligence, security automation, and AI-enabled SOC operations.
AI+ Security Level 2 Course Overview: Your Gateway to Emerging Top Security Certifications
The AI+ Security Level 2 Certification equips cybersecurity professionals to lead the next wave of intelligent threat defense. By combining AI fundamentals with applied cybersecurity use cases, this course offers hands-on experience in Python programming, machine learning, GANs, anomaly detection, and more.
With instructor-led sessions or flexible self-paced learning, this course is ideal for professionals aiming to grow into roles tied to the top security certifications of the future.
| Feature | Details |
| Course Duration | Instructor-led: 5 days Self-paced: 40 hours |
| Delivery Format | Online instructor-led or self-paced training with hands-on labs and projects |
| Course Level | Intermediate to Advanced |
| Target Audience | Cybersecurity professionals, system admins, cloud engineers, consultants, and business leaders |
| Prerequisites | Foundational computer science knowledge, interest in AI (ML, DL, NLP), and ethical awareness |
| Course Fees | INR 70000 or USD 1280 |
Target Audience
The AI+ Security Level 2 Certification is designed for professionals across security, IT, and consulting roles who want to deepen their AI integration skills. This course is ideal for:
1. Cybersecurity professionals
2. IT professionals
3. System administrators
4. Cloud architects and engineers
5. Risk management specialists
6. Business leaders and decision makers
7. Software developers
8. Security consultants and advisors
Prerequisites
To succeed in the AI+ Security Level 2 Certification, learners are expected to have the following:
#1. Completion of AI+ Security Level 1: recommended, not mandatory
#2. Basic Python skills: Understanding of variables, loops, and functions
#3. Basic cybersecurity knowledge: Familiarity with the CIA triad and common threats
#4. Basic machine learning awareness: General understanding, no coding experience required
#5. Basic networking knowledge: Awareness of IP addresses and internet infrastructure
#6. Basic command line skills: Comfort using Linux or Windows terminals for basic operations
#7. Interest in AI for security: Enthusiasm to explore AI’s role in detecting and mitigating threats
#8. Ethical awareness: Willingness to consider legal, ethical, and privacy concerns related to AI
#9. Learning mindset: Openness to grasp new concepts and technologies in a rapidly evolving field
Enrolling in the AI+ Security Level 2 Certification: Your Next Step Toward Emerging Top Security Certifications
The AI+ Security Level 2 Certification is delivered through authorized partners like Datacipher Education Services, blending advanced instruction with hands-on, real-world labs. Whether you prefer structured, instructor-led sessions or the flexibility of self-paced learning, enrolling in this course is simple and streamlined.
Here is how to get started:
#1. Visit the AI CERTs Certification Portal
Go to the AI CERTs Certifications page, select the Security category, and locate the AI+ Security Level 2 Certification from the available options.
Source: AI Certs
#2. Choose your preferred learning format
Select between instructor-led (live online or in-person) or self-paced learning. Both formats include hands-on labs, real-world case studies, and a capstone project to apply your knowledge in practical scenarios.
#3. Enroll through Datacipher Education Services
As a recognized AI CERTs training partner, Datacipher Education Services offers globally accessible training delivered by certified experts in AI and cybersecurity. Visit our website to explore upcoming batches and register directly.
#4. Access your training dashboard and course materials
Once enrolled, you will gain access to a personalized learning portal featuring lab environments, downloadable resources, guided project spaces, and a clear training schedule. You will also connect with a global learning community for ongoing support.
What You Will Learn in One of the Emerging Top Security Certifications: AI+ Security Level 2?
The AI+ Security Level 2 Certification is designed for professionals who are ready to move beyond foundational knowledge and apply AI to complex cybersecurity challenges. This five-day (or equivalent self-paced) training dives deep into real-world use cases, hands-on labs, and AI-powered security techniques.
The course modules are structured as follows:
1. Introduction to AI and Cybersecurity
2. Python Programming for AI and Cybersecurity Professionals
3. Applications of Machine Learning in Cybersecurity
4. Detection of Email Threats with AI
5. AI Algorithm for Malware Threat Detection
6. AI Infrastructure and Deployment
7. User Authentication Security with AI
8. GAN for Cyber Security
9. Penetration Testing with Artificial Intelligence
10. Capstone Project
11. Optional Module: AI Agents for Security Level 2
By the end of this course, you will be able to:
#1. Build and deploy AI-powered threat detection models: Design machine learning algorithms to identify malware, detect phishing, and flag anomalous network behaviors in real time.
#2. Automate security tasks using Python and AI: Apply Python to automate key tasks in security operations, from scripting scans to developing responsive defense tools.
#3. Simulate advanced cyberattacks using GANs: Leverage GANs to generate synthetic attacks and improve your systems’ resilience.
#4. Improve user authentication with AI-driven techniques: Integrate behavioral biometrics, anomaly detection, and contextual signals to strengthen identity and access management.
#5. Lead AI deployment in real-world security infrastructures: Develop the ability to assess, implement, and optimize AI models in complex cybersecurity environments, including cloud and enterprise systems.
The capstone project brings it all together, giving you the chance to apply your new skills in a realistic, end-to-end AI security scenario. It helps you stand out among professionals pursuing today’s emerging top security certifications.
Exam Format: Validating Your Expertise with One of the Emerging Top Security Certifications
To earn the AI+ Security Level 2 Certification, candidates must pass the official exam, which would validate their ability to apply AI-driven cybersecurity strategies in real-world scenarios.
This credential demonstrates that you can use AI tools effectively to detect threats, automate defenses, and enhance enterprise security posture.
Here are the exam details:
| Exam Component | Details |
| Exam Code | AT-2102 |
| Delivery | Online via a proctored exam platform with flexible scheduling, includes one free retake |
| Format | 50 multiple-choice or multiple-response questions |
| Duration | 90 minutes |
| Passing Score | 70% (35 out of 50) |
| Language | English |
Once certified, you will receive a digitally verifiable badge and credential recognized across industries. It validates your expertise in deploying AI for cybersecurity and enhances your credibility as an AI-ready security professional.
You can review the Candidate Handbook in advance to understand the exam standards and your responsibilities.
Train with Datacipher: Your Gateway to Emerging Top Security Certifications
At Datacipher Education Services, we go beyond delivering training; we prepare professionals to lead in the new era of AI-powered cybersecurity.
As an authorized partner, we are trusted by enterprises and professionals worldwide for delivering hands-on, outcomes-driven programs. With this course, we help professionals bridge their advanced cybersecurity expertise with the transformative power of AI.
Source: Datacipher
Here’s what you can expect when training with us at Datacipher:
- Expert-led AI CERTs training with real-world focus: Our instructors are certified AI and cybersecurity specialists who bring years of field experience. You will gain practical skills that you can apply immediately to SOC operations, malware detection, authentication, and penetration testing.
- Flexible learning formats tailored to professionals: Whether you prefer structured instructor-led sessions or the convenience of self-paced learning, we offer formats that suit your schedule, without sacrificing depth or interactivity.
- Enterprise-ready solutions for security teams: For organizations deploying AI into their security infrastructure, we provide tailored, private training aligned to your operational goals, empowering teams to detect threats faster and automate response with confidence.
This isn’t just another certification; it is a career accelerator. The AI+ Security Level 2 Certification, delivered through Datacipher, equips you to act decisively, innovate with AI, and stand out among professionals pursuing top security certifications.
Take the next step with us. Become AI-ready and lead the way in shaping the future of cybersecurity.
Frequently Asked Questions
1. What is Security Level 2, and what is the role of AI in it?
Security Level 2, by AICerts, is an advanced certification tier that builds upon foundational concepts, focusing on applying AI to address complex cybersecurity challenges. AI plays a central role by powering threat detection, automating defenses, and simulating attacks. This course can equip professionals to protect systems more effectively in real-world environments.
2. How are Generative Adversarial Networks applied in cybersecurity?
GANs are used to simulate cyberattacks, generate synthetic threats, and test defenses under realistic conditions. This helps security teams strengthen detection systems and prepare for sophisticated, evolving attack methods.
3. Can AI fully replace human analysts in detecting and responding to threats?
AI can automate detection, reduce false positives, and speed up response times, but it cannot fully replace human expertise. Analysts are still needed to interpret context, make ethical decisions, and handle complex incidents.
4. How will AI transform penetration testing and vulnerability management in the future?
AI will make penetration testing faster and more accurate by analyzing vast datasets, predicting vulnerabilities, and simulating attacks automatically. This shift enables teams to identify risks proactively and fortify defenses before breaches occur.
