N-425 : Implementing Cisco Enterprise Advanced Routing and Services ( ENARSI)

Course Overview:

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:

Date/Time Event
07/06/2026 - 07/10/2026
08:00 -16:00 		N-425 : Implementing Cisco Enterprise Advanced Routing and Services ( ENARSI)
TechNow, Inc, San Antonio TX
10/19/2026 - 10/23/2026
08:00 -16:00 		N-425 : Implementing Cisco Enterprise Advanced Routing and Services ( ENARSI)
TechNow, Inc, San Antonio TX

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)
  • Implement Dynamic Host Configuration Protocol (DHCP)
  • Describe the tools available to secure the IPV6 first hop
  • Troubleshoot Cisco router security features
  • Troubleshoot infrastructure security and services

Prerequisites:

 

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

Course Description:

Artificial Intelligence Essentials (AIE) is a foundational AI literacy certification that builds practical understanding of AI and responsible use

The Artificial Intelligence Essentials (AIE) Course is designed to prepare learners for the newly Artificial Intelligence Essentials (AIE) exam. This hands-on program introduces professionals to core AI concepts, practical tools, and safe real-world applications. It equips learners to understand AI systems, use AI responsibly, and boost productivity across roles and industries

Participants will gain knowledge in understanding how AI systems work, where they are used, how they influence decision-making, and how they should be applied responsibly in everyday, professional, and organizational contexts. The course covers what AI is and what it is not, how data and models drive AI behavior, and how modern AI systems differ from traditional software. Learners develop the ability to interact effectively with AI tools, evaluate AI outputs with informed judgment, and apply responsible practices aligned with privacy, security, and global regulatory expectations.

By the end of the course, learners will be prepared to use AI confidently, safely, and productively while recognizing limitations, ethical risks, and broader societal impacts. It serves as a universal entry point before any technical, managerial, security, or governance specialization in AI.

Course Outline: 

01. Introduction to Artificial Intelligence

02. Everyday AI Tools and Use Cases

03. Building Blocks of AI

04. Prompt Crafting AI-Driven Interactions

05. AI Ethics and Responsible AI

Dates/Locations:

No Events

TN-413: Certified AI Program Manager (C|AIPM)

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)

 

 

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