Learn to use Jupyter Notebook to prepare datasets and apply machine learning techniques for fraud detection. This lab covers data preprocessing, training and evaluating multiple supervised learning models, implementing ensemble methods, and using K-Means clustering to identify patterns and detect fraudulent activities effectively.

Gain hands-on experience with Nmap to conduct effective network scanning, vulnerability detection, and advanced analysis. This lab builds essential skills for identifying open ports, analyzing services, and detecting weaknesses in network security infrastructures.

Learn to identify and exploit Cross-Site Scripting (XSS), privilege escalation, and data exposure vulnerabilities in Google Gruyere through hands-on labs. This lab focuses on practical exercises to discover these security weaknesses, understand their implications, and develop strategies for effective mitigation and secure coding practices.

In this lab, you will master advanced exploitation techniques using the Browser Exploitation Framework (BeEF). By simulating browser-based attacks, you'll learn to exploit vulnerabilities such as XSS, deploy payloads, and establish persistent access to client systems. The lab emphasizes the importance of securing browsers against such exploits to prevent unauthorized access.

Focuses on assessing and exploiting common WordPress vulnerabilities through practical penetration testing techniques. Covers brute-force attacks, vulnerability scanning, and remote code execution to evaluate overall site security.

Focuses on identifying and exploiting common WordPress vulnerabilities through reconnaissance and attack techniques. Covers information disclosure, misconfigurations, and endpoint exploitation to demonstrate real-world security risks.

Learn advanced network scanning and service detection techniques using Metasploit. This lab covers configuring Metasploit modules to perform efficient vulnerability assessments, evade firewalls, and bypass detection mechanisms, equipping you with skills to conduct comprehensive network security evaluations.

This lab provides hands-on experience in designing, executing, and analyzing stateful, multi-stage AI red teaming attacks with the PyRIT framework, enabling persistent tracking and advanced vulnerability testing of LLMs.

Learn to detect sensitive data leaks by capturing and analyzing network traffic with Wireshark, focusing on authentication credentials, unencrypted protocols, and file transfers across HTTP, FTP, SMTP, Telnet, and Kerberos communications.

Dive into real-world network forensics with Wireshark to uncover and analyze cyberattacks, including botnet activity, brute-force attacks, and denial-of-service patterns using advanced traffic inspection and decryption techniques.

This lab equips learners with the skills to design, execute, and analyze sophisticated hybrid AI red teaming attacks using the PyRIT framework, enabling dynamic, stateful testing of LLM vulnerabilities with persistent tracking and evaluation.

This lab explores the effectiveness of different prompting strategies when applying Large Language Models to cybersecurity log analysis. Learners compare general prompts with specialized, role-based prompts to understand how AI can enhance accuracy, depth, and context in log interpretation.

This lab explores how to harness Large Language Models (LLMs) to automate security audits and compliance documentation. Through hands-on exercises, you'll apply both simple and advanced prompting techniques to create operational audit scripts and detailed compliance reports efficiently.

Focuses on applying supervised machine learning techniques to cybersecurity problems using linear regression and decision trees. Emphasizes building predictive and classification models to analyze breach severity and detect malicious files.

Focuses on developing and evaluating machine learning models for network intrusion detection and malicious packet classification. Covers practical implementation using Logistic Regression and Support Vector Machines to enhance threat detection capabilities.

Learn to deploy, scale, and optimize any web application or worker on AWS ECS Fargate using Terraform, in real examples

AI-assisted reversing by integrating LLMs with tools via Model Context Protocol (MCP) to automate & accelerate analysis

Build secure applications with DevSecOps, threat modeling, supply chain security, and cloud-native security practices.

Protect your ASP.NET Core apps from real-world attacks using authentication, authorization, data protection, and threat modeling.

From Threat to Trust: Building the Human Firewall 2.0

Transform security into business impact with policy, training, metrics, and continuous improvement

A guide to cybersecurity principles, key offensive techniques, tools, and emerging threats.

Master digital forensics, cybercrime investigation, legal frameworks, and ethical practices for law enforcement professionals

Learn to lead cybersecurity with clarity and strategy, building actionable plans, communicating effectively with stakeholders, and fostering a security-first culture.

Hands-on tactics to lock down AWS, Azure & Google Cloud using native security tools and CIS / ISO / NIST compliance frameworks.

Learning cyber espionage tactics, threat actor analysis, counter-intelligence strategies, and deception techniques.

Understand the importance of cybersecurity incident response, learn the NIST, SANS, and ISO 19475 frameworks, and build real-world response skills.

Secure your network infrastructure with VLANs, VPNs, ACLs, and wireless defense strategies from design to operations.

Endpoint Security Concepts, EDR, Zero Trust, & Insider Threats with real-world techniques.

A Guide to Cybersecurity Principles, Threat Management, and Security Operations

Master AI-driven market intelligence: from data analysis to competitive insights and strategic planning

Master Python and Generative AI to enhance your skills in advanced analytics