TN-225: Network+ Skills Class 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.
Attendees to the TN-225: Network+ Skills Class will receive TechNow approved course materials and expert instruction.
Please Note: This course is designed with a focus on skills and is not a preparation course for certification.
Instructor comments: He has an excellent way of explaining things on the level that anyone can understand easily. I wasn't looking forward to this class at all but I'm really glad I attended now. I have a much clearer understanding of networking fundamentals that I never would've received via CBTs.
I'd heard really good things about Tim Burkard's teaching skills and now I know they're true. I wouldn't mind taking other classes that he teaches,
Facilities comments: The facilities are really nice and there weren't any problems as far as I could tell. The hotel staff is very nice.
This is a hands-on course that covers many of the concepts of securing the perimeter of an organization. This includes concepts such as intrusion detection, packet filtering, and central logging.
A skills focus enables the student to better absorb the subject matter and perform better 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 of Firewalls.
This hands-on course provides an intensive overview of fundamental UNIX commands that are common to all flavors of UNIX, but the focus is on RedHat. At the end of this course students will have a firm grasp of how the UNIX operating system works, how to accomplish powerful functions using multiple commands & most importantly of all, how to think UNIX. With the skills gained in this course, students can move on to RedHat System Administration I or Linux System Admnistration I.
Attendees of TN-125: Introduction to UNIX and Linux will receive course materials and expert Instruction.
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.
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
