Course Duration
5 Days

Cisco
Authorized Training

IT

Course cost:
was £4,060
£2,492

IT Certification Overview

The Implementing Automation for Cisco Enterprise Solutions (ENAUTO) course equips network engineers with the knowledge and practical skills to automate enterprise network operations using Cisco automation technologies, APIs, and modern development tools. Learners explore the principles of network programmability, software-defined networking, infrastructure automation, and AI-assisted operations while developing practical automation workflows.

Throughout the course, participants gain hands-on experience using Python, Ansible, Cisco Catalyst Center, NETCONF, RESTCONF, streaming telemetry, webhooks, and controller APIs to automate device configuration, software deployment, monitoring, and troubleshooting. The course also introduces AI capabilities within network controllers and explores the opportunities and security considerations of AI-assisted network automation.

By combining instructor-led learning with practical labs, learners develop the confidence to automate repetitive operational tasks, improve network consistency, reduce deployment times, and support modern enterprise networking environments.

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Prerequisites

To benefit fully from this course, learners should have:

  • A solid understanding of enterprise networking concepts and IP networking.
  • Experience configuring Cisco enterprise networking devices.
  • Familiarity with routing, switching, security, and wireless technologies.
  • Basic knowledge of Python programming is recommended but not essential.
  • An understanding of APIs and data formats such as JSON is beneficial.

Target audience

This course is designed for:

  • Network engineers.
  • Network administrators.
  • Systems engineers.
  • Network automation engineers.
  • DevNet professionals.
  • Network architects.
  • Infrastructure engineers responsible for enterprise network automation.
  • Professionals preparing for Cisco automation and enterprise networking certifications.

Learning Objectives

By the end of this course, learners will be able to:

  • Explain the principles of network automation and programmable network architectures.
  • Select appropriate automation tools and frameworks for enterprise networking tasks.
  • Develop Python scripts to automate command-line interface operations.
  • Implement NETCONF and RESTCONF to automate network configuration and management.
  • Automate device configuration monitoring and validation.
  • Use Ansible playbooks to deploy and manage network infrastructure.
  • Configure on-box automation capabilities available on Cisco platforms.
  • Provision enterprise networks using Cisco Catalyst Center Day-0 workflows.
  • Build and manage reusable configuration templates for large-scale deployments.
  • Integrate Ansible with Cisco controllers to automate configuration management.
  • Automate security policy deployment and operational tasks.
  • Troubleshoot automation workflows across enterprise network controllers.
  • Validate automation solutions through testing and operational verification.
  • Automate software image management and lifecycle operations.
  • Monitor enterprise network health using APIs, streaming telemetry, and webhooks.
  • Evaluate AI capabilities within modern network controllers.
  • Apply AI-assisted automation responsibly while understanding associated security risks.
  • Build automation workflows that integrate with AI agents using Python FastMCP.

Automating and Programming Cisco Enterprise Solutions Course Content

Network automation models
Explore the evolution of network automation and programmable infrastructure.
  • Traditional versus software-defined networking
  • Network programmability concepts
  • Infrastructure as Code principles
  • Automation architectures
  • Enterprise automation use cases
  • Benefits, limitations, and operational considerations
Network automation tooling
Examine the tools used to automate enterprise networks.
  • Python ecosystem
  • APIs and SDKs
  • Version control fundamentals
  • YAML and JSON
  • Automation frameworks
  • Selecting the right tool for operational requirements
CLI automation with Python
  • Learn to automate traditional command-line administration.
  • Python fundamentals for networking
  • Connecting to Cisco devices
  • Executing CLI commands
  • Parsing command output
  • Error handling
  • Building reusable automation scripts
NETCONF and RESTCONF automation
Implement standards-based network automation.
  • Understanding NETCONF
  • Using RESTCONF APIs
  • Data modelling concepts
  • YANG models
  • Reading and modifying configurations
  • Operational data retrieval
Automating configuration monitoring
Improve configuration compliance through automation.
  • Configuration auditing
  • Detecting configuration drift
  • Automated backups
  • Configuration comparison
  • Compliance reporting
  • Operational consistency
Device automation with Ansible
Automate network infrastructure using Ansible.
  • Ansible architecture
  • Inventory management
  • Playbooks and roles
  • Cisco automation collections
  • Deploying configurations
  • Validating automation results
On-box automation
Explore automation capabilities hosted directly on network devices.
  • Embedded automation features
  • Event-driven automation
  • Local scripting
  • Operational monitoring
  • Automated responses
  • Best practices
Controller-based Day-0 provisioning
Automate initial network deployment.
  • Zero-touch provisioning concepts
  • Controller-based onboarding
  • Device discovery
  • Initial configuration deployment
  • Deployment validation
  • Operational readiness
Catalyst Center Day-0 with configuration management
Deploy enterprise infrastructure using Cisco Catalyst Center.
  • Device onboarding
  • Configuration templates
  • Policy-based deployment
  • Inventory management
  • Deployment workflows
  • Operational automation
Advanced configuration templates
Develop scalable deployment templates.
  • Template design
  • Variables and parameters
  • Template validation
  • Reusable automation components
  • Large-scale deployments
  • Template maintenance
Controller-based configuration management with Ansible
Combine controller capabilities with infrastructure automation.
  • Integrating Ansible with Catalyst Center
  • API-driven automation
  • Automated policy deployment
  • Configuration updates
  • Compliance validation
  • Operational reporting
Security automation
Automate routine security operations.
  • Security policy automation
  • Access control deployment
  • Security compliance
  • Threat response workflows
  • Secure automation practices
  • Governance considerations
Troubleshoot controller-based network automation
Identify and resolve automation issues.
  • Workflow validation
  • API troubleshooting
  • Controller diagnostics
  • Log analysis
  • Common deployment issues
  • Performance optimisation
Testing and validating network automation
Ensure automation performs reliably.
  • Script testing
  • Configuration validation
  • Change verification
  • Rollback planning
  • Automated testing approaches
  • Operational best practices
Controller-based software management
Automate software lifecycle management.
  • Software image repositories
  • Upgrade planning
  • Automated deployment
  • Version compliance
  • Maintenance scheduling
  • Post-upgrade validation
Automate network health monitoring with controller APIs
Monitor enterprise infrastructure through APIs.
  • Health monitoring
  • Performance metrics
  • Event collection
  • API integration
  • Automated reporting
  • Operational dashboards
Monitor network health with streaming telemetry and webhooks
Implement real-time operational monitoring.
  • Streaming telemetry fundamentals
  • Telemetry subscriptions
  • Webhook configuration
  • Event-driven automation
  • Alert integration
  • Operational visibility
AI capabilities in network controllers
Explore AI features available in modern enterprise networking platforms.
  • AI-driven insights
  • Predictive analytics
  • Intelligent recommendations
  • Performance optimisation
  • Operational visibility
  • AI-supported troubleshooting
AI assistance in network automation
Use AI to improve automation workflows.
  • AI-assisted script generation
  • Workflow optimisation
  • Intelligent operational recommendations
  • Automation acceleration
  • Human oversight
  • Responsible AI adoption
Security risks in AI-based automation
Understand the security implications of AI-powered operations.
  • Data privacy
  • Prompt injection risks
  • Model governance
  • Secure automation design
  • Compliance considerations
  • Risk mitigation strategies
Support AI agents with Python FastMCP
Integrate automation services with AI-enabled workflows.
  • FastMCP fundamentals
  • Python implementation
  • Building automation services
  • Connecting AI agents
  • Secure service design
  • Practical enterprise use cases

Exams and assessments

Learners reinforce their understanding through practical exercises, instructor-led discussions, and knowledge checks throughout the course. Hands-on activities validate the implementation of automation solutions across enterprise networking scenarios. Formal certification exams are not included as part of this course.

Hands-on learning

This course includes extensive practical labs that enable learners to apply automation techniques in realistic enterprise environments.
Hands-on activities include:
  • Developing Python automation scripts.
  • Creating Ansible playbooks.
  • Using NETCONF and RESTCONF APIs.
  • Managing enterprise networks with Cisco Catalyst Center.
  • Deploying automated software upgrades.
  • Monitoring network health through APIs and streaming telemetry.
  • Exploring AI-assisted automation scenarios.

Automating and Programming Cisco Enterprise Solutions Dates

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