PEN-100: Network Penetration Testing Essentials is foundational OffSec training for aspiring ethical hackers. Learn Linux and Windows command line, network protocols, scripting with Bash and Python, and explore essential security tools like Nmap, Kali Linux, and Metasploit. Build a strong ethical hacking mindset with hands-on practice in reconnaissance, exploitation, and post-exploitation techniques. Perfect for beginners looking to start a cybersecurity career.
This professional-level OSCP certification training prepares penetration testers, cybersecurity professionals, and red team operators to pass the PEN-200 exam and earn their OSCP certification. Get hands-on practice penetration testing with virtual labs designed by experienced infosec pro Erik Choron. Gain deep experience in areas like enumeration, privilege escalation, and Active Directory exploitation as you apply tools like Metasploit, Kali Linux, and tunneling frameworks in real-world scenarios. After taking this OSCP training, you’ll be ready to pass the PEN-200 exam with confidence.
Complete collection of David Bombal’s courses, covering Networking, CCNA/CCNP, Network Automation with Python and Ansible, GNS3, SDN/OpenFlow, Wireshark, Cybersecurity, Ethical Hacking, and Bug Bounty tools.
More than 95 percent of Fortune 500 use Azure today! A huge number of organizations use Azure AD (Entra ID) as an Identity and Access Management platform. This makes it imperative to understand the risks associated with Azure as it contains an enterprises infrastructure, apps, identities and a lot more!
In addition to cloud-only identity, the ability to connect on-prem Active Directory, applications and infrastructure to Azure AD brings some very interesting opportunities and risks too. Often complex to understand, this setup of components, infrastructure and identity is a security challenge.
AI Hacking 101 teaches students the fundamentals of penetration testing for AI/LLM-based applications through self-paced video instruction and guided hands-on labs. Students will learn to detect and exploit common AI vulnerabilities, with practical exercises using a custom-built lab environment featuring a vulnerable chatbot that uses Retrieval-Augmented Generation (RAG) and integrates with a company knowledge base.
This course is designed to introduce students to the fundamentals of AI including neural networks and transformer large language models (LLMs). Beginning with the math behind neural networks and how they are trained, students will learn how these networks are used for natural language processing and the architecture of modern transform LLMs, providing a full picture of how neural networks and LLMs actually work. This course does not focus on how to use AI tools.
