TechNow has developed a proven training program that brings the skillset to the certification process. TechNow is a mobile testing center that can deliver D0D 8570 training and the certification in one week. Our intergrated DoD 8570 training in San Antonio, TX incorporates hands on skills with testing objectives that produces an incredibly high pass rate. To learn more about our DoD 8570 training program click here
Course Overview:
This Python for Penetration Testing course is designed to give you the skills you need for maintaining or developing Python Penetration Testing tools oriented towards offensive operations. We have a suite of courses and certifications that help understand a problem, this course prepares the student to rapidly develop prototype code to attack or defend against it.
The course concludes with a Capture the Flag event that will test both your ability to apply your new tools and coding skills in a Python Penetration Testing challenge.
This course is not intended to be an Advanced Python course, but to exemplify penetration techniques utilizing Python. The course covers Threading, Sockets, OOP, and third party modules that facilitate the offensive operator’s objective.
This course utilizes the “Violent Python” text book.
Attendees to TN-345: Python for Penetration Testers Class will receive TechNow approved course materials and expert instruction.
Dates/Locations:
Duration: 3 Days
Course Objectives:
Prerequisites:
Latest comments from students
Course Overview:
CT-225: Network+ is a five-day course that teaches students the fundamentals of networking. Through hands-on training, students learn the vendor-independent networking skills & concepts that affect all aspects of networking, such as installing & configuring the TCP/IP client. The course also helps to prepare students for three popular certification examinations: CompTIA Network+, Microsoft Networking Essentials, and Novell Networking Technologies.
Attendees to CT-225: Network+ will receive TechNow approved course materials and expert instruction.
Dates/Locations:
| Date/Time | Event |
|---|---|
|
08/03/2026 - 08/07/2026 08:00 -16:00 |
CT-225: Network+ TechNow, Inc, San Antonio TX |
|
11/02/2026 - 11/06/2026 08:00 -16:00 |
CT-225: Network+ TechNow, Inc, San Antonio TX |
Duration 5 days
Course Objectives:
Prerequisites:
Latest comments from students
User: hanbri9
Instructor comments: Great instructor.
Facilities comments: BEST HOTEL!!!!!!! AMAZING LOCATION, GOOD FOOD, NICE SPACE. The location of the hotel is what is almost the best about it. Driving up hwy 10 in the morning is absolutely awful.
Certified Offensive AI Security Professional (COASP) validates the competencies required for practitioners who need to demonstrate offensive AI security skills, emulating adversaries, validating defenses, and leading red-team/blue-team exercises to keep AI resilient, reliable, and auditable
The Certified Offensive AI Security Professional (COASP) equips you to identify and neutralize AI-specific threats before attackers do. And Bridges security, engineering, and data science so controls exist across the full AI life cycle.
Participants will gain hands-on experience to perform end-to-end adversarial testing and deliver defensive validation evidence including the ability to simulate adversarial AI kill chains, Harden AI architectures by secure system prompts, context windows, tool integrations, RAG pipelines, and agent memory, Conducting AI security assessments aligned to MITRE ATLAS, OWASP LLM/ML Top 10, NIST AI RMF, and DoD Test & Evaluation practices , This course covers how to build SOC-ready capabilities for AI-focused detection logic, incident playbooks, and forensic procedures , & how to execute prompt injection, adversarial prompting , Assess AI supply-chain risk , Implement defensive engineering controls and Produce assurance and compliance artifacts.
By the end of the course, learners will be well-prepared to take the Certified Offensive AI Security Professional (COASP) exam and demonstrate the ability to exploit vulnerabilities in LLMs and agents, and build defense that survive real world attacks, learners will master offensive techniques that break AI before the attackers do.
Course Outline:
01. Offensive AI and AI System Hacking Methodology
02. AI Reconnaissance and Attack Surface Mapping
03. AI Vulnerability Scanning and Fuzzing
04. Prompt Injection and LLM Application Attacks
05. Adversarial Machine Learning and Model Privacy Attacks
06. Data and Training Pipeline Attacks
07. Agentic AI and Model-to-Model Attacks
08. AI Infrastructure and Supply Chain Attacks
09. AI Security Testing, Evaluation, and Hardening
10. AI Incident Response and Forensics
Prerequisites:
TN-412: Artificial Intelligence Essentials (AI|E)
Dates/Locations:
Course Overview:
This course, TN-305: Designing, Implementing, Administering and Securing Wireless Local Area Networks (LANs), covers the two main objectives for those entering the wireless world, understanding the technology & addressing its security. TN-305: Designing, Implementing, Administering and Securing Wireless Local Area Networks (LANs) takes advantage of the student’s existing expertise to provide a challenging introductory course. Covering a broad range of wireless networking topics & an introduction on how to secure a wireless LAN from hackers. To insure wireless availability you need to understand proper design choices & administration practices. To protect valuable information on your network you need to know how attacks occur & techniques used to secure your wireless network.
Attendees to TN-305: Designing, Implementing, Administering and Securing Wireless Local Area Networks (LANs) will receive TechNow approved course materials and expert instruction.
Dates/Locations:
Duration: 5 Days
Course Objectives:
Prerequisites:
Attendees should have network administration skills. These skills can be obtained through TechNow’s N-205 & N-305: CCNA/ICND Training program or our highly respected cross platform TN-385: TCP/IP Analysis & Implementation course.
Latest comments from students
User: TMPRIESTLEY
Instructor comments: The instructor was very well versed on the topic and knew how to apply it to real-life examples. He led the labs and was very excited about the topic which kept the interest of myself and other class members. Sometimes his volume level was a little high- however the room the class was in was very small. Too small for a big personality!
Facilities comments: I was unaware of the facility changes, but that was at no fault of anyone since I was a drop-in for the course. They were very helpful and quick to mediate the issue.