Course Overview:

The Implementing and Operating Cisco Enterprise Network Core Technologies (ENCOR) course gives you the knowledge and skills needed to configure, troubleshoot, and manage enterprise wired and wireless networks. You’ll also learn to implement security principles, implement automation and programmability within an enterprise network, and how to overlay network design by using SD-Access and SD-WAN solutions.

Attendees to N-415: Implementing and Operating Cisco Enterprise Network Core Technologies (ENCOR) will receive TechNow approved course materials, expert instruction, and prepare you to take the 350-401 Implementing Cisco® Enterprise Network Core Technologies (ENCOR) exam.

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Dates/Locations:

Date/Time Event
06/29/2026 - 07/03/2026
08:00 -16:00
N-415: Implementing and Operating Cisco Enterprise Network Core Technologies (ENCOR)
TechNow, Inc, San Antonio TX
10/05/2026 - 10/09/2026
08:00 -16:00
N-415: Implementing and Operating Cisco Enterprise Network Core Technologies (ENCOR)
TechNow, Inc, San Antonio TX

Duration: 5 Days

Course Objectives:

  • Illustrate the hierarchical network design model and architecture using the access, distribution, and core layers
  • Compare and contrast the various hardware and software switching mechanisms and operation, while defining the Ternary Content Addressable Memory (TCAM) and Content Addressable Memory (CAM), along with process switching, fast switching, and Cisco Express Forwarding concepts
  • Troubleshoot Layer 2 connectivity using VLANs and trunking
  • Implementation of redundant switched networks using Spanning Tree Protocol
  • Troubleshooting link aggregation using Etherchannel
  • Describe the features, metrics, and path selection concepts of Enhanced Interior Gateway Routing Protocol (EIGRP)
  • Implementation and optimization of Open Shortest Path First (OSPF)v2 and OSPFv3, including adjacencies, packet types, and areas, summarization, and route filtering for IPv4 and IPv6
  • Implementing External Border Gateway Protocol (EBGP) interdomain routing, path selection, and single and dual-homed networking
  • Implementing network redundancy using protocols including Hot Standby Routing Protocol (HSRP) and Virtual Router Redundancy Protocol (VRRP)
  • Implementing internet connectivity within Enterprise using static and dynamic Network Address Translation (NAT)
  • Describe the virtualization technology of servers, switches, and the various network devices and components
  • Implementing overlay technologies such as Virtual Routing and Forwarding (VRF), Generic Routing Encapsulation (GRE), VPN, and Location Identifier Separation Protocol (LISP)
  • Describe the components and concepts of wireless networking including Radio Frequency (RF) and antenna characteristics, and define the specific wireless standards
  • Describe the various wireless deployment models available, include autonomous Access Point (AP) deployments and cloud-based designs within the centralized Cisco Wireless LAN Controller (WLC) architecture
  • Describe wireless roaming and location services
  • Describe how APs communicate with WLCs to obtain software, configurations, and centralized management
  • Configure and verify Extensible Authentication Protocol (EAP), WebAuth, and Pre-Shared Key (PSK) wireless client authentication on a WLC
  • Troubleshoot wireless client connectivity issues using various available tools
  • Troubleshooting Enterprise networks using services such as Network Time Protocol (NTP), Simple Network Management Protocol (SNMP), Cisco Internetwork Operating System (Cisco IOS®) IP Service Level Agreements (SLAs), NetFlow, and Cisco IOS Embedded Event Manager
  • Explain the use of available network analysis and troubleshooting tools, which include show and debug commands, as well as best practices in troubleshooting
  • Configure secure administrative access for Cisco IOS devices using the Command-Line Interface (CLI) access, Role-Based Access Control (RBAC), Access Control List (ACL), and Secure Shell (SSH), and explore device hardening concepts to secure devices from less secure applications, such as Telnet and HTTP
  • Implement scalable administration using Authentication, Authorization, and Accounting (AAA) and the local database, while exploring the features and benefits
  • Describe the enterprise network security architecture, including the purpose and function of VPNs, content security, logging, endpoint security, personal firewalls, and other security features
  • Explain the purpose, function, features, and workflow of Cisco DNA Center™ Assurance for Intent-Based Networking, for network visibility, proactive monitoring, and application experience
  • Describe the components and features of the Cisco SD-Access solution, including the nodes, fabric control plane, and data plane, while illustrating the purpose and function of the Virtual Extensible LAN (VXLAN) gateways
  • Define the components and features of Cisco SD-WAN solutions, including the orchestration plane, management plane, control plane, and data plane
  • Describe the concepts, purpose, and features of multicast protocols, including Internet Group Management Protocol (IGMP) v2/v3, Protocol-Independent Multicast (PIM) dense mode/sparse mode, and rendezvous points
  • Describe the concepts and features of Quality of Service (QoS), and describe the need within the enterprise network
  • Explain basic Python components and conditionals with script writing and analysis
  • Describe network programmability protocols such as Network Configuration Protocol (NETCONF) and RESTCONF
  • Describe APIs in Cisco DNA Center and vManage

Prerequisites:

  • CCNA certification
  • Implementation of Enterprise LAN networks
  • Basic understanding of Enterprise routing and wireless connectivity
  • Basic understanding of Python scripting

 

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User: don.seguin

Instructor comments: Tim was a great.

Facilities comments: The classroom was great.


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Instructor comments: Awesome

Facilities comments: Great


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Certified AI Program Manager (CAIPM) is EC-Council’s professional certification for people responsible for owning AI decisions and driving execution: business, technology, data, and risk.

The Certified AI Program Manager (CAIPM) Course equips you with hands-on expertise across the full spectrum of AI tools, from conversational AI and image generation to code assistants and audio synthesis.

Participants will learn how to evaluate, deploy, and integrate AI tools into enterprise workflows, understanding not just how they work, but how to leverage them for maximum business impact. This course covers how to assess AI readiness across teams and processes, Prioritize AI use cases tied to business outcomes, Design adoption and rollout roadmaps , Coordinate delivery across cross-functional teams, implement governance, Responsible AI, and security controls , and how to track performance and ROI to prove value

By the end of the course, learners will be well-prepared to take the Certified AI Program Manager (CAIPM) exam and demonstrate the ability to own AI initiatives end to end , validate mastery of decision framing and trade-off analysis for AI initiatives and Apply governance, ethics, and risk management principles across the AI lifecycle.

Course Objectives:

•MLOps Principles: Model life cycle management for scalable, production-ready AI
•Use Case Evaluation: ROI-driven assessment and prioritization of AI initiatives
•AI Strategy Frameworks: Enterprise AI roadmapping, portfolio planning, and value prioritization
•AI Investment Justification: Quantifying AI value, ROI, and mission impact for funding decisions
•Change Management: Workforce enablement and stakeholder alignment
•KPI Development: AI metrics, success indicators, and executive dashboards
•AI Governance: Risk, ethics, compliance, and responsible AI principles
•Vendor Evaluation: AI platform and tool selection aligned with enterprise needs

Dates/Locations:

No Events

Prerequisites: Familiarity with generative AI concepts, prompt engineering fundamentals, and AI workflows will help you succeed. 

TN-412: Artificial Intelligence Essentials (AI|E)

 

 

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.

PP-244: CIPM + CIPP/E 4 Day GDPR Ready

 

Course Overview:

A combined course of CIPM + CIPP/E. Achieving a CIPM credential shows that you have a comprehensive knowledge of how data protection programs should work across an organization. Combine with a CIPP/E credential and prove that you not only can manage a data protection program, but you understand the regulations that govern them.

With a CIPM and CIPP/E combined you’ll be uniquely equipped to fulfill the DPO requirements of the GDPR. The CIPP/E relates to the knowledge a DPO must have concerning the European legal framework of the legislation, and the CIPM provides theoretical aspects necessary to lead an organization’s data protection policy.

The General Data Protection Regulation (GDPR) takes effect in 2018. Among its mandates is the requirement to appoint a knowledgeable Data Protection Officer (DPO) tasked with monitoring compliance, managing internal data protection activities, training data processing staff, conducting internal audits and more. There’s a lot to know, there’s a lot at stake and there’s a lot of opportunity for data protection professionals with the right training and education. 

What’s Included:

  • Authorized courseware
  • 2 Exam vouchers
  • IAPP membership

**GDPR Regulation Mandated May 25, 2018**

Course Objectives:

See individual courses for details: PP-212: CIPP/E Certified Information Privacy Professional Europe and GDPR Compliance

See individual courses for details: PP-222 CIPM Certified Information Privacy Manager and GDPR Compliance

Attendees to PP-244: CIPM + CIPP/E 4 Day GDPR Ready will receive TechNow approved course materials and expert instruction, and certification test vouchers and certificate of course completion.

TechNow is a International Association of Privacy Professionals (IAPP) Partner, and utilizes official curriculum from International Association of Privacy Professionals (IAPP).

TechNow has taught security courses for over 20 years, before most certifications existed and has successfully moved students through certification programs associated with IAPP, SANS, EC-Council and ISC2. Our instructor maintains over a dozen security certifications and has been the director of a company with international sales and compliance.

 

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Dates/Locations:

No Events

Duration: 4 Days

Course Content:

 

Prerequisites: None

Target Audience:

Data Protection Officers, Data Protection Managers, Auditors, Data Protection Lawyers, Records Managers, Information Officers, Legal Compliance Officers, Human Resource Officers, Security Manager, Information Manager, Anyone who uses processes and maintains personal data

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Course Overview:

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
    • Manage security alerts
    • Respond to and remediate security issues
    • Create security baselines
  • Data and Applications
    • Configure security policies to manage data
    • Configure security for data infrastructure
    • Configure encryption for data at rest
    • Understand application security
    • Implement security for application lifecycle
    • Secure applications
    • Configure and manage Azure Key Vault

Prerequisites :

      • AZ-900: Microsoft Azure Fundamentals
      • Students should have 1-2 years professional development experience and experience with Microsoft Azure.
      • Student must be able to program in an Azure Supported Language.

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