Whether you are starting your AI engineering journey or expanding your existing skills, MammothClub offers a practical catalog of courses, paths, and focused learning opportunities.
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.
Test your knowledge on analyzing output from reconnaissance, scanning, and enumeration by validating results for false positives, false negatives, true positives, and overall scan completeness. Review how to troubleshoot scan configurations, select appropriate public exploits, and use scripting to confirm findings. Also reinforce key physical security concepts, including tailgating, site surveys, USB drops, badge cloning, and lock picking.
Test your knowledge on prioritizing and preparing attacks by identifying high-value targets and using scoring systems like CVSS, CVE, CWE, and EPSS. Review how to evaluate outdated systems, default configs, exposed services, weak encryption, and defensive controls. Practice selecting and customizing tools and exploits, mapping attack paths within scope, and labeling sensitive systems. Then strengthen your understanding of common network attacks—default credentials, on-path and relay attacks, VLAN hopping, misconfigurations, packet crafting, and share enumeration—using tools like Metasploit, Nmap (NSE), Impacket, CrackMapExec, Wireshark/tcpdump, msfvenom, Responder, Netcat, Hydra, and more.
