This course, TN-385: TCP/IP Analysis & Implementation, provides students with a comprehensive technical introduction to TCP/IP & the interworkings of TCP/IP application to UNIX, Linux and Windows in a network environment. This course begins by providing a comprehensive protocol stack analysis. It continues with extensive hands-on exercises needed to configure TCP/IP on UNIX and Windows based networks.
Attendees to TN-385: TCP/IP Analysis & Implementation will receive TechNow approved course materials and expert instruction.
Dates/Locations:
No Events
Duration: 5 Days
Course Objectives:
A thorough comprehension of each level of the protocol stack
Configuring UNIX & Windows to access internetworks
Configuring & setting up a Cisco router
Properly implementing subnets to avoid ongoing maintenance headaches
Routing & routing protocols, RIP, OSPF, and IGRP
How to troubleshoot a wide range of routing problems
All major TCP/IP application services including: FTP, TELNET, SNMP, NFS, DNS, DHCP, & WINS
How to avoid common internetworking problems
How to troubleshoot TCP/IP networks using protocol analysis techniques – snoop on Sun Workstation & Network Monitor on Windows.
How to design, build, configure, & manage TCP/IP internetworks
Applying a structured methodology for troubleshooting TCP/IP internetworks
ACL's on Cisco routers
Prerequisites:
Students should have good end-user skills in TCP/IP (FTP, TELNET, RLOGON, & MAIL).
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
Looking to move up in the information security field? If you have at least one year of security experience, you qualify for the Systems Security Certified Practitioner (SSCP) certification, which offers junior security professionals a way to validate their experience and demonstrate competence with (ISC²)®’s seven domains.
Attendees to TN-715: Systems Security Certified Practitioner (SSCP) will receive TechNow approved course materials and expert instruction.
Instructor comments: Instructor was very knowledgeable on most items covered during this course. There were some topics he did lack the answer to. Instructor would also get sidetracked easily
User: keginth
Instructor comments: he was phenomenal with test prep and knew the book well
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.
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.
