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:
No Events
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.
AWS System Operations begins with a one day introduction to AWS products, services, and common solutions. It provides you with fundamentals to become more proficient in identifying AWS services so that you can make informed decisions about IT solutions based on your business requirements and get started working on AWS.
The AWS course continues to flow with teaching those in a Systems Administrator or Developer Operations (DevOps) role how to create automatable and repeatable deployments of networks and systems on the AWS platform. The course covers the specific AWS features and tools related to configuration and deployment, as well as common techniques used throughout the industry for configuring and deploying systems.
To continue to learn more about AWS, TechNow has the following course:
Attendees to CL-415: AWS System Operations will receive TechNow approved course materials and expert instruction.
Duration: 5 Days
Audience:
This course is intended for:
• System Administrators
• Software Developers, especially those in a Developer Operations (DevOps) role
DoD 8140: Not Mandated
Course Prerequisites:
We recommend that attendees of this course have the following prerequisites:
• Background in either software development or systems administration
• Some experience with maintaining operating systems at the command line (shell scripting in Linux environments, cmd or PowerShell in Windows)
• Basic knowledge of networking protocols (TCP/IP, HTTP)
Course Objectives:
This course is designed to teach you how to:
• Understand basic data center design concepts.
• Recognize terminology and concepts as they relate to the AWS platform and navigate the AWS Management Console.
• Understand the foundational infrastructure services, including Amazon Virtual Private Cloud (VPC), Amazon Elastic Compute Cloud (EC2), Amazon Elastic Block Store (EBS), Amazon Simple Storage Service (S3), Auto Scaling, and Elastic Load Balancing (ELB).
• Understand the security measures AWS provides and key concepts of AWS Identity and Access Management (IAM).
• Understand AWS database services, including Amazon DynamoDB and Amazon Relational Database Service (RDS).
• Understand AWS management tools, including Amazon CloudWatch and AWS Trusted Advisor.
• Use standard AWS infrastructure features such as Amazon Virtual Private Cloud (VPC), Amazon Elastic Compute Cloud (EC2), Elastic Load Balancing, and Auto Scaling from the command line
• Use AWS CloudFormation and other automation technologies to produce stacks of AWS resources that can be deployed in an automated, repeatable fashion
• Build functioning virtual private networks with Amazon VPC from the ground up using the AWS Management Console
• Deploy Amazon EC2 instances using command line calls and troubleshoot the most common problems with instances
• Monitor the health of Amazon EC2 instances and other AWS services
• Manage user identity, AWS permissions, and security in the cloud
• Manage resource consumption in an AWS account using tools such as Amazon CloudWatch, tagging, and Trusted Advisor
• Select and implement the best strategy for creating reusable Amazon EC2 instances
• Configure a set of Amazon EC2 instances that launch behind a load balancer, with the system scaling up and down in response to demand
• Edit and troubleshoot a basic AWS CloudFormation stack definition
Dates/Locations:
No Events
Course Outline:
Day 1
• Introduction and History of AWS
• AWS Infrastructure: Compute, Storage, and Networking
• AWS Security, Identity, and Access Management
• AWS Databases
• AWS Management Tools
Day 2
• System Operations on AWS Overview
• Networking in the Cloud
• Computing in the Cloud Day 3
• Storage and Archiving in the Cloud
• Monitoring in the Cloud
• Managing Resource Consumption in the Cloud Day 4
• Configuration Management in the Cloud
• Creating Scalable Deployments in the Cloud
• Creating Automated and Repeatable Deployments Day 5 Full Day Lab
• Select the appropriate AWS service based on compute, data, or security requirements
• Execute steps required to provision cloud resources for selected deployment
• Identify and implement data protection, encryption, and capacity planning
• Implement and manage security policies, access controls, and role
• Implement Automation
The Computer Hacking Forensic Investigator (CHFI) course delivers the security discipline of digital forensics from a vendor-neutral perspective. CHFI is a comprehensive course covering major forensic investigation scenarios and enabling students to acquire necessary hands-on experience with various forensic investigation techniques and standard forensic tools necessary to successfully carry out a computer forensic investigation leading to the prosecution of perpetrators.
The CHFI certification gives participants the necessary skills to perform an effective digital forensics investigation. CHRI presents a methodological approach to computer forensics including searching and seizing, chain-of-custody, acquisition, preservation, analysis and reporting of digital evidence
What’s Included:
5 days of instructor-led in classroom training
Detailed Labs for hands-on learning experience; approximately 50% of training is dedicated to labs
Hundreds of investigation tools including EnCase, Access Data FTL, & ProDiscover
Huge cache of evidence files for analysis including RAW, .dd images, video & audio files, MS Office files, systems files, etc.
CHFI Courseware
Exam Voucher
CHFI onsite exam scheduling
Course Objectives:
Establish threat intelligence and key learning points to support pro-active profiling and scenario modeling
Perform anti-forensic methods detection
Perform post-intrusion analysis of electronic and digital media to determine the who, where, what, when, and how the intrusion occurred
Extract and analyze of logs from various devices like proxy, firewall, IPS, IDS, Desktop, laptop, servers, SIM tool, router firewall, switches AD server, DHCP logs, Access Control Logs & conclude as part of investigation process
Identify & check the possible source/ incident origin
Recover deleted files and partitions in Windows, MAC OS X, and Linux
Conduct reverse engineering for known and suspected malware files
Collect data using forensic technology methods in accordance with evidence handling procedures, including collection of hard copy and electronic documents
CompTIA SecAI+ is the first certification in CompTIA’s expansion series, designed to help you secure, govern and responsibly integrate artificial intelligence into your cybersecurity operations. You’ll build the skills to defend AI systems, meet global compliance expectations and use AI to enhance threat detection, automation and innovation—so you can strengthen your expertise and help keep your organization’s systems and data secure.
SecAI+ helps you build practical AI security and automation skills on top of your existing expertise, so you can secure AI deployments, use AI‑assisted security tools with confidence, and stay ready for the next step in your cybersecurity career.
Course Objectives:
Apply AI concepts to strengthen your organization’s cybersecurity posture
Secure AI systems using advanced controls and protections to safeguard data, models, and infrastructure
Leverage AI technologies to automate workflows, accelerate incident response, and scale security operations
Navigate global GRC frameworks to ensure ethical and compliant AI adoption across industries
Defend against AI-driven threats like adversarial attacks, automated malware, and malicious use of generative AI
Integrate AI securely into DevSecOps pipelines and enterprise security strategies.
Dates/Locations:
No Events
Prerequisites: Recommended experience: 3–4 years in IT and 2+ years hands-on cybersecurity; Security+, CySA+, PenTest+, or equivalent recommended
SecAI+ (V1) exam objectives summary
Basic AI concepts related to cybersecurity (17%)
Explain core AI principles and terminology: Machine learning, deep learning, natural language processing, and automation.
Identify AI applications in security: Use cases for AI in threat detection, defense, and security operations.
Recognize AI-driven threats: Automated phishing, polymorphic malware, adversarial machine learning, and malicious use of generative AI.
Securing AI systems (40%)
Implement security controls: Protect AI systems, data, and models using robust technical safeguards.
Secure AI deployment environments: Apply best practices across on-premises, cloud, and hybrid infrastructures.
Mitigate adversarial risks: Defend against attacks targeting AI models, data pipelines, and inference layers.
AI-assisted security (24%)
Enhance detection and response: Use AI-driven tools to identify anomalies, detect threats, and accelerate incident remediation.
Automate security workflows: Integrate AI for event triage, alert correlation, and response orchestration.
Apply AI techniques in operations: Incorporate AI into threat modeling, behavior analysis, and continuous monitoring.
AI governance, risk, and compliance (19%)
Understand regulatory frameworks: Identify global governance requirements and their implications for AI adoption.
Integrate GRC into AI projects: Incorporate governance, risk management, and compliance practices throughout the AI lifecycle.
Ensure responsible AI use: Apply ethical guidelines, legal standards, and industry frameworks such as GDPR and NIST AI RMF.
This bootcamp is a customized course for Cloud Essentials+ and Cloud+ that leverages 8 days to provide greater value than just the delivery of two separate courses. The 8 days of instruction prepare the student for the CCSP course.
TechNow has Identified overlap and uses time saved to:
Introduce hands-on skills (Open Source and AWS)
Go more in-depth on theory using hands-on to reinforce concepts
Do exam prep with practice questions
This course covers the knowledge and skills required to understand standard Cloud terminologies/methodologies, to implement, maintain, and deliver cloud technologies and infrastructures (e.g. server, network, storage, and virtualization technologies), and to understand aspects of IT security and use of industry best practices related to cloud implementations and the application of virtualization.
TechNow has worked worldwide enterprise infrastructures for over 20 years and has developed demos and labs to exemplify the techniques required to demonstrate cloud technologies and to effectively manage security in the cloud environment.
TechNow is a CompTIA partner and uses official CompTIA Cloud Essentials+ and CompTIA Cloud+ curriculum.
Attendees to CL-218: Introduction to Cloud Infrastructure and Operations Bootcamp will receive TechNow approved course materials and expert instruction.
Date/Locations:
No Events
Course Duration: 8 days
Course Objectives:
Learn the fundamental concepts of cloud computing
Learn the business aspects and impacts of cloud computing
Differentiate the types of cloud solutions and the adoptions measures for each
Identify the technical challenges and the mitigation measures involved in cloud computing
Identify the technical challenges and the mitigation measures involved in cloud computing
Identify the steps to successfully adopt cloud services
Identify the basic concepts of ITIL and describe how the ITIL framework is useful in the implementation of cloud computing in an organization
Identify the possible risks involved in cloud computing and the risk mitigation measures, and you will also identify the potential cost considerations for the implementation of cloud and its strategic benefits
Prepare to deploy cloud solutions
Deploy a pilot project
Test a pilot project deployment
Design a secure network for cloud deployment
Determine CPU and memory sizing for cloud deployments
Plan Identity and Access Management for cloud deployments
Analyze workload characteristics to ensure successful migration to the cloud
Secure systems to meet access requirements
Maintain cloud systems
Implement backup, restore, and business continuity measures
Analyze cloud systems for required performance
Analyze cloud systems for anomalies and growth forecasting
Troubleshoot deployment, capacity, automation, and orchestration issues
