Corso ENAUTO – Automating and Programming Cisco Enterprise Solutions

Il Corso ENAUTO – Automating and Programming Cisco Enterprise Solutions è parte del percorso Cisco CCNP Automation e prepara i Partecipanti a implementare soluzioni di network automation e programmability negli ambienti Cisco Enterprise Campus e WAN. Il corso è orientato all’automazione delle infrastrutture enterprise basate su Cisco, con focus su device-level automation, controller-based automation, orchestration, telemetry, API integration e strumenti moderni per migliorare efficienza operativa, scalabilità e controllo delle configurazioni. Durante il corso vengono trattate tecnologie e piattaforme come Cisco IOS XE, Cisco Catalyst Center, Cisco Catalyst SD-WAN Manager, Cisco Meraki Dashboard, Python, Netmiko, ncclient, Ansible, Git, JSON, YAML, NETCONF, RESTCONF, YANG, YANG Suite, Jinja templates, Cisco IOS EEM, Guest Shell, ZTP, PnP, streaming telemetry e webhooks. Il programma approfondisce l’utilizzo di API e strumenti di automazione per configurare, monitorare, validare e gestire reti enterprise Cisco, includendo automation workflows per VLAN, routing protocols, policies, VPNs, configuration compliance, Software Image Management e network health monitoring. Il percorso affronta inoltre la gestione automatizzata tramite controller, l’integrazione con Catalyst Center APIs, SD-WAN Manager APIs e Meraki APIs, il troubleshooting dell’automazione basata su API e l’uso di Ansible per ambienti Catalyst Center, SD-WAN e Meraki. Sono inclusi anche temi legati ad AI-assisted code development, AI capabilities nei network controllers, security risks in AI-based automation, MCP servers, Python FastMCP e supporto agli AI agents nei workflow di network automation. Il Corso contribuisce alla preparazione dell’esame di Certificazione CCNP Automation ENAUTO (Esame 300-435).

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Obiettivi del corso

Di seguito una sintesi degli obiettivi principali del Corso ENAUTO – Automating and Programming Cisco Enterprise Solutions:

Implementare network automation in ambienti Cisco Enterprise Campus e WAN utilizzando API, data models e controller-based workflows.
Automatizzare configurazioni e operations con Python, Netmiko, Ansible, NETCONF, RESTCONF, YANG, Jinja e Git.
Gestire piattaforme Cisco IOS XE, Catalyst Center, Catalyst SD-WAN Manager e Cisco Meraki Dashboard tramite API e strumenti di automazione.
Monitorare network health con streaming telemetry, webhooks, controller APIs e workflow di validation e troubleshooting.
Integrare AI-assisted coding, AI capabilities, security considerations, MCP servers, Python FastMCP e AI agents nei processi di network automation.

Certificazione del corso

Esame 300-435 ENAUTO Cisco Certified Specialist – Enterprise Automation;
Questo esame valuta le competenze del candidato nell’implementazione di soluzioni automatizzate per ambienti Cisco Enterprise Campus e WAN. Il superamento dell’esame consente di ottenere la certificazione Cisco Certified Specialist – Enterprise Automation e soddisfa il requisito concentration per i percorsi Cisco CCNP Enterprise e Cisco CCNP Automation. L’esame verifica la capacità dell’esaminato di utilizzare network automation models, data models e strumenti di automazione per gestire infrastrutture enterprise Cisco. Sono testate competenze relative a Python, Netmiko, Ansible, Git, JSON, YAML, NETCONF, RESTCONF, YANG, YANG Suite, ncclient e Jinja templates, con particolare attenzione all’automazione di VLAN, routing protocols, policies, VPNs, configuration monitoring e compliance. Una parte rilevante riguarda l’automazione di piattaforme Cisco come Cisco IOS XE, Cisco Catalyst Center, Cisco Catalyst SD-WAN Manager e Cisco Meraki Dashboard, utilizzando API, controller-based workflows, Day-0 provisioning, PnP, ZTP, Guest Shell, Cisco IOS EEM, Software Image Management e strumenti per network health monitoring. Il candidato deve dimostrare competenze anche nel troubleshooting dell’automazione basata su controller e API, nella validazione delle soluzioni automatizzate, nell’utilizzo di streaming telemetry e webhooks per il monitoraggio operativo, e nell’applicazione di security automation. L’esame include inoltre topic relativi ad AI-assisted code development, AI capabilities nei network controllers, security risks in AI-based automation, MCP servers, Python FastMCP e supporto agli AI agents nei workflow di network automation.

Contenuti del corso

Network Automation Models

Role of data models in network automation
Use of structured data formats such as JSON, YAML, and XML
Introduction to YANG data models for network programmability
Relationship between models, APIs, and configuration workflows
Benefits of model-driven automation in Cisco Enterprise networks

Network Automation Tooling

Overview of tools used for Cisco Enterprise automation
Use of YANG Suite for exploring and validating YANG models
Role of Ansible in configuration management and compliance
Use of automation tools to improve consistency and operational efficiency
Selection of tools based on platform, workflow, and operational requirements

CLI Automation with Python

Use of Python for CLI-based network automation
Automation of VLANs, routing protocols, policies, and VPNs
Use of Netmiko to interact with network devices
Parsing and monitoring device configuration and operational data
Development of reusable scripts for enterprise network operations

NETCONF and RESTCONF Automation

Concepts of NETCONF and RESTCONF model-driven protocols
Use of datastores, RPCs, and REST-based workflows
Automation of device configuration using structured payloads
Comparison of NETCONF and RESTCONF use cases
Troubleshooting connectivity, model, and payload issues

Automating Configuration Monitoring

Monitoring configuration and operational data with NETCONF and RESTCONF
Detection of configuration changes and operational state variations
Interpretation of automation errors for faster issue resolution
Validation of device state through model-driven queries
Use of monitoring workflows to support compliance and troubleshooting

Device Automation with Ansible

Use of Ansible for Cisco device configuration management
Detection of configuration drift and compliance issues
Management of source of truth and desired state configuration
Use of Ansible resource modules for safe rollout and rollback
Verification of device configuration after automated changes

On-Box Automation

Use of Cisco IOS EEM for event-based automation
Use of Guest Shell as a secure Linux container for scripts
Execution of on-box Python automation on Cisco devices
Implementation of automated local operational tasks
Use of ZTP for initial device configuration

Controller-Based Day-0 Provisioning

Day-0 provisioning concepts in controller-based enterprise networks
Use of PnP workflows in Cisco Catalyst Center
Automated onboarding of enterprise network devices
Initial device configuration through controller-based processes
Validation of Day-0 provisioning results

Catalyst Center Day-0 with Configuration Management

Configuration management options in Cisco Catalyst Center
Use of Catalyst Center APIs for device configuration workflows
Management of templates, parameters, and deployment processes
Integration of Day-0 provisioning with configuration standards
Operational validation of controller-driven configuration management

Advanced Configuration Templates

Use of Jinja templates for dynamic configuration generation
Construction of reusable and parameterized configuration templates
Template logic for scalable enterprise network deployment
Integration of templates into controller-based workflows
Validation of generated configurations before deployment

Controller-Based Configuration Management with Ansible

Use of Ansible with Cisco Catalyst Center
Management of Cisco Catalyst SD-WAN devices with Ansible
Automation of Cisco Meraki networks through Ansible workflows
Controller-based configuration management across enterprise platforms
Verification and troubleshooting of Ansible-driven controller operations

Security Automation

Automation of network segmentation and policy enforcement
Use of Cisco Catalyst Center APIs for group-based access control
API-driven segmentation and policy enforcement with Cisco Meraki
Security workflow automation across enterprise networks
Validation of security policy deployment and compliance

Troubleshoot Controller-Based Network Automation

Troubleshooting authentication with Cisco controller REST APIs
Diagnosis of Catalyst Center API authentication and request issues
Troubleshooting Cisco Catalyst SD-WAN Manager API authentication
Identification of API errors, payload issues, and permission problems
Use of logs and response data to isolate automation failures

Testing and Validating Network Automation

Testing of automation deployed on Cisco Catalyst Center
Validation of automation workflows on Cisco Catalyst SD-WAN Manager
Verification of configuration results and operational state
Detection of automation failures before production impact
Use of validation processes to improve automation reliability

Controller-Based Software Management

Automation of Software Image Management with Cisco Catalyst Center APIs
Use of Cisco Catalyst SD-WAN Manager APIs for software management
Controller-based lifecycle management of network software
Validation of software deployment workflows
Reduction of manual effort in software maintenance operations

Automate Network Health Monitoring with Controller APIs

Use of Cisco Catalyst Center APIs to monitor network health
Use of SD-WAN Manager APIs for WAN health monitoring
Use of Meraki Dashboard APIs for network visibility
Collection of health metrics from enterprise controllers
Integration of monitoring data into automation workflows

Monitor Network Health with Streaming Telemetry and Webhooks

Use of streaming telemetry for real-time network monitoring
Subscription to device telemetry through NETCONF
Implementation of webhook-based alerting with Cisco Catalyst Center
Event-driven monitoring of network health and operational status
Integration of telemetry and webhooks into automation workflows

AI Capabilities in Network Controllers

AI capabilities available in Cisco Catalyst Center
AI capabilities available in Cisco Catalyst SD-WAN Manager
AI capabilities available in Cisco Meraki Dashboard
Use of AI insights for monitoring and operational optimization
Application of AI-enhanced features in enterprise network management

AI Assistance in Network Automation

Use of AI-assisted code development for network automation
Generation and refinement of scripts, templates, and API workflows
Review and validation of AI-generated automation outputs
Use of AI assistants to support troubleshooting and development tasks
Practical application of AI to improve automation productivity

Security Risks in AI-based Automation

Security risks related to AI-based network automation
Protection of credentials, sensitive data, and configuration information
Validation of AI-generated scripts and recommendations
Mitigation of unsafe, inaccurate, or exposed AI outputs
Governance considerations for AI usage in enterprise automation

Support AI Agents with Python FastMCP

Concepts of MCP servers and MCP clients
Use of Python FastMCP to support AI agents
Providing network information to MCP clients
Integration of AI agents with enterprise automation workflows
Control and validation of AI agent interactions with network systems

Attività Laboratoriali

Explore YANG Trees with YANG Suite
Validate XML Payloads Against the YANG Schema
Configure and Monitor Routing with Python and Netmiko
Configure and Monitor IPsec VPNs with Python and Netmiko
Manage Device Configurations with ncclient
Manage Device Configurations with RESTCONF
Monitor Device Configurations with NETCONF and RESTCONF
Troubleshoot Network Automation Solutions
Configuration Compliance with Ansible
Use Ansible to Configure and Verify Device Configuration
EEM-Based Device Automation
On-Box Python-Based Automation
Python-Based ZTP for Cisco IOS XE Devices
Manage Device Configuration with Catalyst Center APIs
Manage Device Configuration with SD-WAN Manager APIs
Manage Device Configuration with Cisco Meraki APIs
Construct Advanced Jinja Configuration Templates
Manage Catalyst Center Devices with Ansible
Manage Cisco Catalyst SD-WAN Devices with Ansible
Manage Cisco Meraki Networks with Ansible
Enforce Network Segmentation with Cisco Catalyst Center APIs
Enforce Group-Based Access Control with Cisco Catalyst Center APIs
API-Driven Segmentation and Policy Enforcement with Meraki
Troubleshoot Cisco Catalyst Center API Authentication
Troubleshoot Cisco Catalyst SD-WAN Manager API Authentication
Troubleshoot Cisco Catalyst Center API Requests
Software Management with Cisco Catalyst Center API
Software Management with SD-WAN Manager APIs
Monitor Network Health with Cisco Catalyst Center APIs
Monitor Network Health with SD-WAN Manager APIs
Monitor Network Health with Meraki Dashboard APIs
Subscribe to Device Telemetry Using NETCONF
Implement Webhook-Based Alerting with Cisco Catalyst Center
Code Development with AI Assistant
Providing Network Information to MCP Clients Using Python FastMCP

Tipologia

Corso di Formazione con Docente

Docenti

I docenti sono Istruttori accreditati CISCO e certificati in altre tecnologie IT, con anni di esperienza pratica nel settore e nella Formazione.

Infrastruttura laboratoriale

Per tutte le tipologie di erogazione, il Corsista può accedere alle attrezzature e ai sistemi reali Cisco presenti nei Nostri laboratori o direttamente presso i data center Cisco in modalità remota. Ogni partecipante dispone di un accesso per implementare le varie configurazioni avendo così un riscontro pratico e immediato della teoria affrontata. Ecco di seguito alcune topologie di rete dei Laboratori Cisco Disponibili:

Corso ENAUTO – Automating and Programming Cisco Enterprise Solutions

Dettagli del corso

Prerequisiti

Si consiglia la partecipazione al Corso Cisco CCNA e Corso Python Developer.

Durata del corso

Durata Intensiva 5gg;

Frequenza

Varie tipologie di Frequenza Estensiva ed Intensiva.

Date del corso

Corso Cisco ENAUTO (Formula Intensiva) – Su Richiesta – 9:00 – 17:00

Modalità di iscrizione

Le iscrizioni sono a numero chiuso per garantire ai tutti i partecipanti un servizio eccellente.
L’iscrizione avviene richiedendo di essere contattati dal seguente Link, o contattando la sede al numero verde 800-177596 o inviando una richiesta all’email [email protected].