Cybersecurity

Course Description

The Cybersecurity Cohort is a 16-week program designed to provide students with the skills needed for cybersecurity roles. The course covers a wide range of topics, including operating systems, networking, cloud security, Python, offensive security, and digital forensics.

Course Goals

Through the Cybersecurity Cohort, you'll learn about operating system and network security, Cloud security, Python for Security, offensive security, and digital forensics. You'll gain hands-on experience in each domain through practical labs with industry partners. The course concludes with a capstone project and career preparation lectures on job search strategies, interview skills, and LinkedIn branding.

Week
1
( 18 Hours )
Introduction to Cybersecurity
  • Lecture: Basic commands and communication protocols
  • Lecture: Fundamental structures of the operating system
  • Exercise: Basic commands and communication protocols lab
  • Quiz: Basic concepts of cybersecurity

Week
2
( 18 Hours )
Computer Networking
  • Lecture: Introduction to networking
  • Lecture: OSI and TCP/IP model
  • Exercise: Networking lab
  • Quiz: Networking concepts
Week
3
( 18 Hours )
Microsoft/Windows Security
  • Lecture: Introduction to Windows client and server
  • Lecture: Powershell, permissions, and security
  • Exercise: Windows security lab
  • Quiz: Windows security concepts

Week
4
( 18 Hours )
Linux Security
  • Lecture: Introduction to Linux
  • Lecture: Permissions, users, and administration
  • Exercise: Linux security lab
  • Quiz: Linux security concepts
Week
5
( 18 Hours )
Cloud Security
  • Lecture: Cloud fundamentals
  • Lecture: Containers in the Cloud and Cloud security
  • Exercise: Cloud security lab
  • Quiz: Cloud security concepts
Week
6
( 18 Hours )
Network Security
  • Lecture: Networking recap and network attacks
  • Lecture: Traffic analysis and secure access
  • Exercise: Network security lab
  • Quiz: Network security concepts
Week
7
( 18 Hours )
Cyber Infrastructure & Technology (Part 1)
  • Lecture: Endpoint protection and data loss prevention
  • Lecture: Email security and honeypots
  • Exercise: Cyber infrastructure & technology lab
  • Quiz: Cyber infrastructure & technology concepts
Week
8
( 18 Hours )
Cyber Infrastructure & Technology (Part 2)
  • Lecture: Security Information and Event Management (SIEM)
  • Lecture: Security Orchestration, Automation, and Response (SOAR) & SIEM
  • Lecture: Physical security
  • Exercise: Cyber infrastructure & technology lab
  • Quiz: Cyber infrastructure & technology concepts
Week
9
( 18 Hours )
Python for Security
  • Lecture: Python fundamentals
  • Exercise: Python lab
  • Quiz: Python concepts
Week
10
( 18 Hours )
Offensive Security (Part 1)
  • Lecture: Introduction to ethical hacking and recon/network scanning
  • Lecture: Man-in-the-middle (MITM) attacks and social engineering
  • Exercise: Offensive security lab
  • Quiz: Offensive security concepts
Week
11
( 18 Hours )
Offensive Security (Part 2)
  • Lecture: Brute-force attacks and privilege escalation
  • Lecture: Introduction to web applications and vulnerability scanning
  • Exercise: Offensive security lab
  • Quiz: Offensive security concepts
Week
12
( 18 Hours )
Offensive Security (Part 3)
  • Lecture: Web application attacks, Cross-Site Scripting (XSS) attacks, and SQL injection
  • Lecture: Buffer overflows
  • Exercise: Offensive security lab
  • Quiz: Offensive security concepts
Week
13
( 18 Hours )
Digital Forensics & Incident Response (Part 1)
  • Lecture: Introduction to DFIR and digital forensics
  • Lecture: Incident response and data acquisition
  • Exercise: DFIR lab
  • Quiz: DFIR concepts
Week
14
( 18 Hours )
Digital Forensics & Incident Response (Part 2)
  • Lecture: Windows live and dead analysis and memory analysis
  • Lecture: Linux live and dead analysis and log analysis
  • Exercise: DFIR lab
  • Quiz: DFIR concepts
Week
15
( 18 Hours )
Digital Forensics & Incident Response (Part 3)
  • Lecture: Static malware analysis and dynamic malware analysis
  • Lecture: Network forensics and advanced persistent threats
  • Exercise: DFIR lab
  • Quiz: DFIR concepts
Week
16
( 18 Hours )
Capstone Project and Career Preparation
  • Final project: Portfolio-ready, instructor-guided capstone project
  • Lecture: Job search strategies and interview skills
  • Lecture: LinkedIn branding and networking tips
  • Exercise: Create/update LinkedIn profile
  • Quiz: Career preparation and LinkedIn branding concepts