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Test your knowledge on the core stages of penetration testing, including pre-engagement planning, effective communication, common frameworks and methodologies, and the essential components of a professional report. Review how to analyze findings, recommend clear remediation steps, and apply the shared responsibility model while respecting legal and ethical boundaries.

Expand your expertise across three major cloud platforms with AI, ML, and data engineering skills.

The ultimate certification library covering AI, cloud, cybersecurity, data engineering, and everything in between.

Build your complete Databricks expertise across data engineering, analytics, ML, and AI

Test your knowledge on modifying scripts for reconnaissance and enumeration by applying information gathering and data manipulation in Bash, Python, and PowerShell. Review core logic constructs—loops, conditionals, boolean/string/arithmetic operators—and how to extend scripts using libraries, functions, and classes. Then practice choosing the right tools for the job, including Wayback Machine, Maltego, Recon-ng, Shodan, SpiderFoot, WHOIS, nslookup/dig, Censys, Hunter.io, DNSdumpster, Amass, Nmap (including NSE), theHarvester, WiGLE, InSSIDer, OSINTframework, Wireshark/tcpdump, and Aircrack-ng.

Test your knowledge on conducting vulnerability discovery using a wide range of scanning techniques, including application testing methods like DAST, IAST, SCA, SAST, IaC review, source code analysis, and mobile scanning. Review network and host-based approaches such as TCP/UDP and stealth scans, authenticated vs. unauthenticated scanning, secrets detection, and wireless assessment (SSID, channel, and signal strength scanning). Expand into specialized areas like ICS vulnerability assessment through manual review and port mirroring. Finally, practice selecting the right tools, including Nikto, OpenVAS, TruffleHog, BloodHound, Nessus, PowerSploit, Grype, Trivy, and Kube-hunter.