You should have a solid understanding of AI/ML concepts (model training, evaluation, deployment), foundational cybersecurity knowledge (threat modeling, common attack vectors), and proficiency in Python. Familiarity with ML frameworks like TensorFlow or PyTorch is also recommended.

The curriculum covers adversarial attacks and defenses, data poisoning and integrity, model theft and inversion, secure ML pipeline design, LLM-specific threats like prompt injection, AI governance frameworks, regulatory compliance (NIST AI RMF, EU AI Act), bias detection, and incident response for AI systems.

You should plan to dedicate approximately 10-15 hours per week, which includes video lectures, hands-on labs, real-world case studies, project work, and mentor-guided sessions.

You'll complete three industry-relevant capstone projects—securing a drone autopilot system, hardening a predictive maintenance ML pipeline on Azure Databricks, and safeguarding a production LLM API. Each project involves real-world threat scenarios, defensive implementations, and validation testing.

This certification prepares you for high-demand roles such as AI Security Engineer, ML Security Specialist, AI Penetration Tester, and Cybersecurity Analyst for AI Systems. With AI adoption accelerating across industries, professionals who can secure AI systems are critically needed and command premium compensation.

You'll work extensively with Python, the IBM Adversarial Robustness Toolbox (ART) for adversarial attack simulation and defense, Azure Databricks for securing ML pipelines, PX4 Autopilot for drone AI security scenarios, and popular ML frameworks like TensorFlow and PyTorch throughout the hands-on labs.

The Micro Degree course is an online LIVE course, where LIVE sessions will be conducted online on our Classroom platform. Prior to the start of the course, you'll receive preparatory material in the form of recorded content which can be access on the same platform.

In this course instructors will use English language for teaching.

Upon successful registration, you will receive a confirmation email on your registered email ID. In this email you will receive login details for your newly created account on the Edyoda Classroom platform (https://classroom.edyoda.com). Additionally, you will receive a PDF guide containing step-by-step instructions on how to utilize the platform to access live sessions and learning materials.

Our instructors are the industry experts with a minimum working experience of 10 years with a strong technical and teaching background. They bring industry knowledge and practical expertise to the course.

Yes, the course includes online assignments, quizzes, and a final project to reinforce your learning and assess your proficiency in AI Systems Security Certification.

Yes, you can interact with instructors and fellow students through discussion forums, live Q&A sessions. We encourage a supportive learning community.

We offer a 100% money-back guarantee to ensure your complete satisfaction. If you're not satisfied, you can request a full refund within 3 days of purchase or before the second session, whichever comes earlier. Simply contact our support team(support@edyoda.com) with your purchase details, such as the order ID or email address, and share your reason for the refund. Requests made after 3 days or after the second session will not be eligible for a refund. There are no hidden charges, you will receive the full amount paid. Refunds are processed within 7–10 business days and credited back to your original payment method.