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- Date : 15 January, 2025
- Time : Depends on the availability of student
- Location : Online Classes
Security Operations Center (SOC)
Security Incident and Event Management SIEM)
Tools, installation, and configuration
Building IDS, Firewalls, and Honeypots
Deployment and monitoring
Documenting and Reporting.
Blue Team Defense.
Red Team Offensive testing.
Purple Team Organization Task.
Attacking real world Vulnerable Service’s
Testing web application for Vulnerability
Finding.
Anonymity, Dark web, and secure
communication.
Comprehensive Security Checklists for Auditing,
This course is designed to immerse you in the fast-evolving field of Cyber Security. Whether you’re a beginner or an experienced learner, our program guides you from core security fundamentals to advanced defensive techniques. You’ll explore key areas like network security, ethical hacking, threat analysis, and encryption, all aligned with industry standards. With a mix of theory, hands-on labs, and practical scenarios, you’ll gain the skills needed to identify threats, secure systems, and build strong cybersecurity practices in today’s digital world.
Product @ Paytm | Analytics Team Lead | Ex-SDE at Service Brands Tech, Canada | Judge/Mentor/Speaker at 10+ Hackathons | Data Science & GenAI
AI Engineer | Data Analyst | Power BI | Tableau | Python | Machine Learning | Generative AI
SDE-2 @ Shipbob | Ex - SDE @ Amazon | SDE Intern'22 @ Amazon | CSE MMMUT'22
SWE II @ Cisco
Full Stack Developer | React.js | JavaScript | Tailwind CSS | HTML | CSS
Basic programming knowledge in Python and a fundamental understanding of mathematics, particularly linear algebra and calculus, are recommended. No advanced prerequisites are required.
This course is ideal for beginners wanting to enter the field of machine learning, data enthusiasts looking to deepen their knowledge, career changers transitioning into data science, and professionals seeking to enhance their skills in machine learning.
Topics include Python programming, data manipulation with NumPy and Pandas, data visualization, regression models, classification algorithms, clustering, neural networks, and real-world applications of machine learning.
The course typically spans 6-8 weeks, depending on your pace, including lectures, assignments, and hands-on projects.
Yes, you will receive a certificate of completion and a Letter of Recommendation upon successfully finishing the course and all required assignments and projects.
Empowering learners with industry-ready skills, practical knowledge, and hands-on learning experiences that prepare them to excel, innovate, and build a successful future in the digital world.
We prioritize your privacy by securely handling personal data, using it only to improve your learning experience. All information shared with us is protected with strict safeguards.