- PA-213: Palo Alto Networks Firewall Install, Configure, and Manage (EDU-201)
- PA-212: Palo Alto Networks Firewall Configure Extended Features (EDU-205)
- PA-215: Palo Alto Networks Firewall Essentials FastTrack
- PA-232: Palo Alto Networks Panorama Manage Multiple Firewalls (EDU-221)
- PA-242: Palo Alto Networks Firewall Manage Cyberthreats (EDU-231)
- PA-243: Palo Alto Networks Firewall Debug and Troubleshoot (EDU-311)
Here are the Cisco Security course offerings:
- N-305: CCNA Bootcamp
- N-325: Implementing Cisco IOS Network Security (IINS)
- N-415: Implementing and Operating Cisco Enterprise Network Core Technologies (ENCOR)
- N-425 : Implementing Cisco Enterprise Advanced Routing and Services ( ENARSI)
- N-485: In-Depth Securing Networks with Cisco Firepower Threat Defense NGFW
- TN-865: Wireshark Network Traffic and Security Analysis
Course Overview:
This course is designed for professionals that are expected to do malware analysis. A skills focus enables the student to better absorb the subject matter and perform successfully on the job. This is not death by power point. The course is aligned with information assurance operators and executing hands-on labs. Lecture and labs walk the student through the knowledge required to truly understand the mechanics Reverse Engineering Malware.
Attendees to TN-999: Reverse Engineering Malware will receive TechNow approved course materials and expert instruction.
Date/Locations:
Duration: 5 days
Course Objectives:
- Toolkit and Lab Assembly
- Malware Code and Behavioral Analysis Fundamentals
- Malicious Static and Dynamic Code Analysis
- Collecting/Probing System and Network Activities
- Analysis of Malicious Document Files
- Analyzing Protected Executables
- Analyzing Web-Based Malware
- DLL Construction and API Hooking
- Common Windows Malware Characteristics in x86 Assembly
- Unpacking Protected Malware
- In-Depth Analysis of Malicious Browser Scripts, Flash Programs and Office
- In-Depth Analysis of Malicious Executables
- Windows x86 Assembly Code Concepts for Revers-Engineering Memory Forensics for Rootkit Analysis
Prerequisites:
- Strong understanding of core systems and network concepts
- Exposure to programming and assembly concepts
- Comfortable with command line access
Comments
Latest comments from students
User: marcus.osullivan
Instructor comments: Good stuff. I like the beginning half where there was help from an additional instructor to facilitate fixing computer errors that inevitably popped up.
Facilities comments: The baby deer were neat! I like the resort.
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TechNow has been involved in enterprise client server architectures since 1990. TechNow has delivered national and international implementations for Valero, Wholefoods, Quest, USAA, Golfsmith, AMD, Motorola, and many other fortune 1000 corporations,
TechNow's training program has followed the evolution of enterprise computing into virtualization and cloud computing. With a focus on security, TechNow can present the ramifications of many centralized strategies. All courses utilize enterprise instructors with experience and can discuss the detail of implementation and the integration into an existing infrastructure.

Course Description:
Artificial Intelligence Essentials (AIE) is a foundational AI literacy certification that builds practical understanding of AI and responsible use
The Artificial Intelligence Essentials (AIE) Course is designed to prepare learners for the newly Artificial Intelligence Essentials (AIE) exam. This hands-on program introduces professionals to core AI concepts, practical tools, and safe real-world applications. It equips learners to understand AI systems, use AI responsibly, and boost productivity across roles and industries
Participants will gain knowledge in understanding how AI systems work, where they are used, how they influence decision-making, and how they should be applied responsibly in everyday, professional, and organizational contexts. The course covers what AI is and what it is not, how data and models drive AI behavior, and how modern AI systems differ from traditional software. Learners develop the ability to interact effectively with AI tools, evaluate AI outputs with informed judgment, and apply responsible practices aligned with privacy, security, and global regulatory expectations.
By the end of the course, learners will be prepared to use AI confidently, safely, and productively while recognizing limitations, ethical risks, and broader societal impacts. It serves as a universal entry point before any technical, managerial, security, or governance specialization in AI.
Course Outline:
01. Introduction to Artificial Intelligence
02. Everyday AI Tools and Use Cases
03. Building Blocks of AI
04. Prompt Crafting AI-Driven Interactions
05. AI Ethics and Responsible AI
Dates/Locations: