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Cyber Security
Training
Understand the scope and prospects of Cyber Security, learn how ML is being
used in various industries with our internship programs and develop the
necessary skills and Python programming to become a successful ML Engineer.
Learn how to use NumPy, Pandas, Seaborn, Matplotlib, Plotly, Scikit-Learn, Cyber Security,
TensorFlow, and more!
Course Overview
This Cyber Security course is designed to provide a strong foundation in protecting systems,
networks, and data from cyber threats. You will learn core security concepts, ethical hacking,
network security, vulnerability assessment, and real-world attack–defense techniques through
hands-on labs and projects.
- 1. Introduction to Cyber Security
- 2. Types of Cyber Threats & Attacks
- 3. CIA Triad (Confidentiality, Integrity, Availability)
- 4. Security Terminologies & Best Practices
- 5. Cyber Laws & Ethics
- 1. Computer Networks Basics
- 2. TCP/IP, DNS, HTTP, HTTPS
- 3. Firewalls, IDS & IPS
- 4. Operating System Security (Windows & Linux)
- 1. Footprinting & Reconnaissance
- 2. Scanning & Enumeration
- 3. Vulnerability Assessment
- 4. Web Application Attacks
- 1. OWASP Top 10 Vulnerabilities
- 2. SQL Injection & XSS
- 3. Authentication & Session Attacks
- 4. Secure Coding Practices
- 1. Kali Linux & Security Tools
- 2. Wireshark, Nmap, Metasploit
- 3. Incident Detection & Response
- 4. Digital Forensics Basics
- 1. Building a Cyber Security Portfolio
- 2. Real-world Attack & Defense Project
- 3. Certification Guidance
- 4. Interview & Career Preparation
Instructor: Cyber Security Professional
4.7
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4,102+ learners
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