Your organization needs qualified professionals who can design, implement, and operate Cisco multiprotocol internet works. With Cisco training from TechNow, you can gain the knowledge and experience your organization needs to succeed.
TechNow’s Cisco Training and Certification Career Path takes students from the fundamentals of networking through a complete line of Cisco courses designed to give students the knowledge and experience they need to master Cisco networking skills in a fast, thorough, and efficient manner.
Our Cisco training courses will prepare you for your work towards Cisco certification. With years of experience in the Cisco training environment, TechNow can lead you through a dynamic experience to prepare you for Cisco certification.
This two-day course will provide foundational level knowledge on cloud concepts; core Azure services; security, privacy, compliance, and trust; and Azure pricing and support.
NOTE: This course provides an Azure pass and time for you to participate in hands-on labs. The content for this course aligns to AZ-900 exam objective domain
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-900: Microsoft Azure Fundamentals will receive TechNow approved course materials and expert instruction.
Date/Locations:
No Events
Course Duration: 3 days
Course Outline:
Cloud Concepts
Core Azure Services
Security, Privacy, Compliance, And Trust
Azure Pricing and Support
Lab Objectives:
Create a virtual machine
Deploy Azure container instances
Create a virtual network
Create blob storage
Create a SQL database
Implement an Azure IoT Hub
Implement Azure Functions
Create a web app
Create a VM with a Template
Create a VM with PowerShell
Create a VM with CLI
Secure network traffic
Implement Azure key vault
Create an Azure Policy
Manage access with RBAC
Manage resource locks
Implement resource tagging
Exploring the Trust Center
Use the Azure Pricing Calculator
Use the Azure TCO Calculator
Open a Support request
Calculate composite SLAs
Access Azure Preview features
Prerequisites :
There are no prerequisites for taking this course. Technical IT experience is not required however some general IT knowledge or experience would be beneficial.
This course is suitable for IT personnel who are just beginning to work with Azure.
This course primarily uses the Azure portal to create services and does not require scripting skills.
Students in this course will gain confidence to take other role-based courses and certifications, such as Azure Administrator.
This course provides an Azure pass and optional lab environment.
This course provides security professionals with the skills and knowledge to perform vulnerability and compliance scanning of supported operating systems, devices, and applications. Students will construct custom scan policies for topology discovery, network vulnerability detection, credentialed patch audits, and compliance benchmarks, and discuss the underlying technologies utilized by the Nessus scanner.
This course provides students with the necessary information to prepare for the Tenable Certified Nessus Auditor (TCNA) exam.
Date/Locations:
No Events
Duration: 5 days
Course Objectives:
Introduction to Nessus and Vulnerability Scanning
Nessus Installation and Administration
Basic Nessus Scan Operation
Nessus Scan Configuration and Policy Creation
Vulnerability Analysis and Reporting with Nessus
Advanced Scan Configuration and Policy Creation
Introduction to Compliance and Auditing
Nessus Auditing Features
Windows System Auditing
Unix System Auditing
Cisco IOS Auditing
Nessus Database Auditing
Nessus Content Auditing
Auditing to Industry Guidelines
Auditing to Federal Guidelines
Prerequisites:
Students should possess a basic understanding of TCP/IP networking, operating systems security, and common client/server applications.
The Implementing Cisco Enterprise Advanced Routing and Services(ENARSI) gives you the knowledge you need to install, configure, operate, and troubleshoot an enterprise network. This course covers advanced routing and infrastructure technologies, expanding on the topics covered in the N-415: Implementing and Operating Cisco Enterprise Network Core Technologies (ENCOR).
Attendees to N-425 : Implementing Cisco Enterprise Advanced Routing and Services ( ENARSI) will receive TechNow approved course materials, expert instruction, and prepare you to take the 300-410 Implementing Cisco® Enterprise Advanced Routing and Services (ENARSI) exam.
Dates/Locations:
No Events
Duration: 5 Days
Course Objectives:
Configure classic Enhanced Interior Gateway Routing Protocol (EIGRP) and named EIGRP for IPv4 and IPv6
Optimize classic EIGRP and named EIGRP for IPv4 and IPv6
Troubleshoot classic EIGRP and named EIGRP for IPv4 and IPv6
Configure Open Shortest Path First (OSPF)v2 and OSPFv3 in IPv4 and IPv6 environments
Optimize OSPFv2 and OSPFv3 behavior
Troubleshoot OSPFv2 for IPv4 and OSPFv3 for IPv4 and IPv6
Implement route redistribution using filtering mechanisms
Troubleshoot redistribution
Implement path control using Policy-Based Routing (PBR) and IP Service Level Agreement (SLA)
Configure Multiprotocol-Border Gateway Protocol (MP-BGP) in IPv4 and IPv6 environments
Optimize MP-BGP in IPv4 and IPv6 environments
Troubleshoot MP-BGP for IPv4 and IPv6
Describe the features of Multiprotocol Label Switching (MPLS)
Describe the major architectural components of an MPLS VPN
Identify the routing and packet forwarding functionalities for MPLS VPNs
Explain how packets are forwarded in an MPLS VPN environment
Implement Cisco Internetwork Operating System (IOS®) Dynamic Multipoint VPNs (DMVPNs)
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.
