AI INTEGRATED COURSE

Advanced Cybersecurity Course

Course Overview

Cybersecurity training in Broadway Infosys trains students to protect computer systems, networks, and data resources from cyber attacks. This course will provide you with basic information and tools about cybersecurity, including hacking methods, prevention methods, firewalls, and other similar devices.

Students are taught malware basics, phishing attack response, the ransomware strategy, along with ethical hacking. The students are also provided with practical tool exposure along with expert training. The course allows the students to gain both CEH as well as CompTIA Security+ industry certifications. The course aligns with the needs of IT students, employed professionals desiring career transitions into cybersecurity, and individuals interested in electronic safety.

In addition to technical skills, the program is designed to help advance your career. You will also receive 1-on-1 mentoring, continuous feedback, and career guidance to succeed in the competitive tech world. Having a diverse range of projects at the end of this training, you will be confident and capable enough to take on cybersecurity roles in the industry.
 

Skills You'll Learn

  • Ethical Hacking & Penetration Testing: You’ll learn how to think like a hacker, find system weaknesses, and run penetration tests safely.
  • Digital Forensics: You’ll study how to collect and analyze data after a security incident, like tracing an attack or recovering deleted files.
  • Cloud Security: You’ll learn how to secure systems in AWS, Azure, or Google Cloud, including managing data, users, and access controls.
  • SIEM and Threat Detection: You’ll use tools like Splunk or ELK to monitor, detect, and respond to security threats in real time.

Skill you'll gain

We provide industry aligned training with practical sessions & mentorship. Grow with our rich portfolio of skill enhancement courses & highly successful placements.
Rich History
Rich History
With over 16 years of excellence in IT training, we’ve transformed a myriad of careers with quality training & innovations.
Qualified Trainers
Qualified Trainers
Our faculty comprises experienced industry experts with a deep understanding of the real world experience & skills.
Support Excellence
Support Excellence
Our dedicated support team guides you all the way to the learning to placement process including growth opportunities.
Successful Alumnis
Successful Alumnis
Our graduates excel at big companies with their presence, itself being the testament to the reputed quality.

Here is what our students say

I am writing to express my sincere appreciation for this course. The instructor was exceptional. His talent for explaining every detail with clarity and reinforcing lessons with live examples ensured that the material was not only...
Testimonial from Mr. Nikhil Nayak
Mr. Nikhil Nayak
Advanced Cybersecurity Course

Theory:

  • What is Cybersecurity?
  • Importance & Relevance in Modern IT Infrastructure
  • Fundamental Concepts & Terminologies
  • Evolution of Cybersecurity
  • Cybersecurity Frameworks (NIST, ISO)

Lab:

  • Exploring real-world cybersecurity incidents
  • Identifying key assets and threat surfaces in a simulated environment

Theory:

  • Malware, Phishing, Ransomware
  • Social Engineering, DDoS, SQL Injection
  • Case Studies of Real-World Attacks
  • Hacker Types & Cyber Threat Actors

Lab:

  • Phishing Simulation Demo
  • Simulating a SQL Injection Attack
  • Analyzing a DDoS scenario using traffic logs

Theory:

  • LAN, WAN, TCP/IP Concepts
  • Network Protocols & Security Policies
  • Firewalls, IDS/IPS, VPNs
  • Network Monitoring Tools Overview

Lab:

  • Using Wireshark for packet analysis
  • Simulating Sniffing Attacks
  • Configuring and testing firewall rules
  • Network scanning with Nmap

Theory:

  • Introduction to Cryptography
  • Symmetric & Asymmetric Encryption
  • Hashing (MD5, SHA)
  • PKI, SSL/TLS, Encoding vs Encryption

Lab:

  • Encrypting and decrypting messages using tools like OpenSSL
  • Hash generation and integrity verification
  • SSL/TLS certificate analysis

Theory:

  • OS Security Models: Linux & Windows
  • Authentication, File Permissions
  • Patch Management & OS Hardening
  • Secure Configuration Practices

Lab:

  • Applying CIS Benchmark on Windows/Linux
  • Configuring 2FA for user accounts
  • Creating and managing access control lists (ACLs)

Theory:

  • Malware Types and Classification
  • Static vs Dynamic Analysis
  • Reverse Engineering Basics
  • Sandboxing & Signatureless Detection
  • AI/ML in Malware Detection

Lab:

  • Malware dissection in a sandbox environment
  • Identifying indicators of compromise (IOC)
  • Analyzing WannaCry ransomware behavior

Theory:

  • Ethical Hacking Fundamentals
  • Pen Testing Phases (Reconnaissance to Reporting)
  • Legal/Ethical Considerations
  • Red Team vs. Blue Team Concepts
  • Post-exploitation Techniques

Lab:

  • Vulnerability scanning with ZAP Proxy, OWASP
  • Exploitation with Metasploit
  • Using Kali Linux for hands-on attacks

Theory:

  • Web App Architecture
  • Common Vulnerabilities (XSS, SQLi)
  • OWASP Top 10 Overview
  • Secure Session Management & Cookies

Lab:

  • Pen-testing a vulnerable web app (e.g., DVWA)
  • Mitigating XSS/SQLi using Burp Suite
  • Implementing a Web Application Firewall (WAF)

Theory:

  • Risk Identification, Analysis, & Mitigation
  • Business Continuity & Disaster Recovery
  • Incident Response Planning
  • Security Audits & Compliance Standards (ISO, NIST)

Lab:

  • Risk Assessment on a simulated IT infrastructure
  • Developing and presenting a sample incident response plan
  • Compliance checklist creation and audit simulation

Theory:

  • Cloud Service Models (IaaS, PaaS, SaaS)
  • Cloud Security Challenges & IAM
  • IoT Device Risks & Attack Surfaces
  • Shared Responsibility Model
  • Identity and Access Management (IAM) in Cloud
  • Shared Responsibility Model

Lab:

  • Securing AWS/Azure cloud instances
  • Identifying misconfigurations in S3 buckets
  • Simulating an IoT attack and mitigation

Theory:

  • Log Auditing & Analysis
  • Log Correlation, Threat Detection Rules
  • SIEM Architecture: SIEM vs SOAR

Lab:

  • Configuring a SIEM tool and analyze security events (e.g., Splunk, ELK)
  • Writing basic correlation rules
  • Investigating security incidents using SIEM

Theory:

  • AI/ML in Threat Detection
  • Blockchain in Cybersecurity
  • Threat Intelligence Feeds & Security Automation
  • Future Trends & Career Opportunities

Lab:

  • Using AI-based tools in threat prediction
  • Exploring a blockchain-based authentication model
  • Integrating Threat Intelligence into SIEM

  • Lectures (Theory)
  • Hands-on Labs (Practical)
  • Group Discussions
  • Case Studies
  • Exam Preparation
  • Real-World Demonstrations
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