You should have foundational knowledge of networking protocols (TCP/IP, DNS, HTTP), basic Linux command-line skills, and familiarity with core cybersecurity concepts such as firewalls and encryption. A basic awareness of AI and machine learning principles is helpful but not mandatory, as the course covers GenAI applications from the ground up.

The 8-week curriculum covers information gathering and reconnaissance, network scanning and enumeration, vulnerability analysis, advanced exploitation techniques, post-exploitation strategies, and defensive security. It also includes dedicated modules on leveraging generative AI for threat detection, automated incident response, forensic analysis, security report generation, and defending against AI-driven cyber threats.

You should plan for approximately 10-15 hours per week, which includes video lectures, hands-on labs in tools like Kali Linux and Metasploit, mentored project work, and self-study. The 8-week intensive format is designed to build skills progressively, so consistent weekly commitment is important.

You will complete three industry-relevant projects including a full-scope penetration test for a financial institution, building a GenAI-powered threat detection and incident response system, and creating an AI-driven vulnerability assessment workflow. Additionally, weekly labs provide practical experience with tools like Nmap, Wireshark, Burp Suite, and Metasploit in realistic scenarios.

This program prepares you for in-demand roles such as Cybersecurity Analyst, Penetration Tester, Incident Response Specialist, Security Architect, and Threat Hunter. The combination of traditional ethical hacking skills with generative AI expertise makes you uniquely competitive, as organizations increasingly seek professionals who can leverage AI to strengthen their security posture.

You will gain hands-on experience with Kali Linux as your primary testing platform, Nmap for network scanning, Metasploit Framework for exploitation, Wireshark for packet analysis, and Burp Suite for web application testing. You will also work with GenAI-powered tools for automated threat detection, security analytics, and report generation throughout the program.

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 Certified Cybersecurity with GenAI Expert.

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.