Implementing Cisco IOS Network Security (IINS) is an instructor-led course. This five-day course focuses on the necessity of a comprehensive security policy and how it affects the posture of the network. TechNow students each get a Cisco Switch, Router, and an ASA. The in the classrom hardware hands-on component of this course is a priority. Using instructor-led discussions, extensive hands-on lab exercises, and supplemental materials, this course allows learners to understand common security concepts, and deploy basic security techniques utilizing a variety of popular security appliances within a “real-life” network infrastructure. TechNow is an Authorized VUE testing partner and this course concludes with the student taking the 210-260 IINS Cisco Certification Exam.
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
Gain the knowledge and skills needed to implement security controls, maintain the security posture, and identify and remediate vulnerabilities by using a variety of security tools. The course covers scripting and automation, virtualization, and cloud N-tier architecture.
After completing this course, students will be able to describe specialized data classifications on Azure, Identify Azure data protection mechanisms, Implement Azure data encryption methods, Secure internet protocols and how to implement them on Azure, Describe Azure security services and features.
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.
Attendees to AZ-500: Microsoft Azure Security Technologies will receive TechNow approved course materials and expert instruction.
Date/Locations:
No Events
Course Duration: 5 days
Course Outline:
Identity and access
Configure Azure Active Directory for Azure workloads and subscriptions
Configure Azure AD Privileged Identity Management
Configure security for an Azure subscription
Platform Protection
Understand cloud security
Build a network
Secure network
Implement host security
Implement platform security
Implement subscription security
Security Operations
Configure security services
Configure security policies by using Azure Security Center
The Certified Information Security Manager (CISM) certification program is developed specifically for experienced information security managers & those who have information security management responsibilities. The CISM certification is for the individual who manages, designs, oversees and/or assesses an enterprise’s information security (IS). The CISM certification promotes international practices & provides executive management with assurance that those earning the designation have the required experience & knowledge to provide effective security management & consulting services. Individuals earning the CISM certification become part of an elite peer network, attaining a one-of-a-kind credential. The CISM job practice also defines a global job description for the information security manager & a method to measure existing staff or compare prospective new hires.
This course is designed to assist in your exam preparation for the CISM exam.
Attendees to TN-825: Certified Information Security Manager (CISM) Seminar will receive TechNow approved course materials and expert instruction.
Establish and/or maintain an information security governance framework and supporting processes to ensure that the information security strategy is aligned with organizational goals and objectives
Information Risk Management (30%)
Manage information risk to an acceptable level based on risk appetite to meet organizational goals and objectives
Information Security Program Development and Management (27%)
Develop and maintain an information security program that identifies, manages and protects the organization’s assets while aligning to information security strategy and business goals, thereby supporting an effective security posture
Information Security Incident Management (19%)
Plan, establish and manage the capability to detect, investigate, respond to and recover from information security incidents to minimize business impact
Prerequisites:
A minimum of five years of information security work experience, with a minimum of three years of information security management work experience in three or more of the job practice analysis areas.
Comments
Latest comments from students
User: tracycampbell
Instructor comments: Dave had great command of the class and the flow of information. The lessons seem relevant to the exam and the course material should assist greatly with passing.
As a bonus, his breakdown of PKI helped with my current job requirements.
Facilities comments: The Home2Suites by Hilton was FANTASTIC!
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.
