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FRCJUN-13Juniper Networks

Advanced Junos Platform Automation and DevOps

This four-day instructor-led course provides advanced knowledge and hands-on experience in Junos platform automation, network programmability, Infrastructure as Code (IaC), and NetDevOps practices.

Duration · 4 daysVirtual + In-PersonInstructor-Led

$3,850

Course Description

This four-day instructor-led course provides advanced knowledge and hands-on experience in Junos platform automation, network programmability, Infrastructure as Code (IaC), and NetDevOps practices. Students learn how to automate complex Junos environments using Python, Junos PyEZ, NETCONF, REST APIs, YANG data models, event-driven automation, telemetry, and CI/CD pipelines. The course emphasizes scalable automation architectures, operational efficiency, and best practices for modern enterprise, cloud, and service provider networks.

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Audience Profile

This course is intended for:

  • Senior Network Engineers
  • Network Automation Engineers
  • DevOps and NetDevOps Engineers
  • Systems Engineers
  • Network Architects
  • Data Center and Cloud Engineers

Prerequisites

Before enrolling, you should have:

  • Strong understanding of Junos OS operations
  • Experience with network automation fundamentals
  • Familiarity with Python scripting
  • Knowledge of XML, JSON, and YAML
  • Understanding of NETCONF and REST APIs
  • Completion of Introduction to Juniper Platform Automation and NetDevOps or equivalent experience

— What You'll Learn —

Learning Objectives

In this course, you will learn to:

  • 1Upon completion of this course, students will be able to:
  • 2Design and implement enterprise-scale network automation solutions
  • 3Develop advanced Python automation applications for Junos environments
  • 4Utilize Junos PyEZ, NETCONF, REST APIs, and YANG models effectively
  • 5Implement Infrastructure as Code methodologies for network deployments
  • 6Build and manage Ansible-based automation frameworks
  • 7Create CI/CD pipelines for automated network operations
  • 8Develop automated testing, validation, and compliance processes
  • 9Deploy telemetry-driven monitoring and analytics solutions
  • 10Implement event-driven automation and remediation workflows
  • 11Scale automation initiatives across enterprise, cloud, and service provider environments
  • 12Apply NetDevOps best practices to improve operational efficiency and reliability.

— Day-by-Day —

Course Outline

Day 1: Advanced Junos Automation Architecture and Programmability

Module 1

Advanced NetDevOps Architecture

  • Modern network automation frameworks
  • NetDevOps operational models
  • Infrastructure as Code at scale
  • Automation maturity models
  • Enterprise automation strategies
  • Automation governance and lifecycle management

Lab

  • Reviewing enterprise automation architectures
  • Designing automation workflows
  • Evaluating operational use cases

Module 2

Advanced Junos Automation Frameworks

  • Junos automation ecosystem
  • Automation tool integration
  • Configuration lifecycle management
  • State-based operations
  • Automation design patterns
  • Building reusable automation frameworks

Lab

  • Building automation workflow templates
  • Managing device states
  • Developing reusable automation components

Module 3

Advanced Python for Network Automation

  • Object-oriented programming concepts
  • Python modules and packages
  • Data structures and manipulation
  • Exception handling
  • Logging and debugging techniques
  • Building scalable automation applications

Lab

  • Developing modular Python applications
  • Implementing error handling
  • Building reusable automation libraries

Module 4

Advanced API Integration

  • REST API design principles
  • API orchestration techniques
  • Authentication and authorization methods
  • Token-based security
  • API integration workflows
  • Multi-platform automation

Lab

  • Integrating multiple APIs
  • Automating operational workflows
  • Securing API communications

Module 5

Data Modeling and Automation Design

  • Advanced YANG concepts
  • OpenConfig overview
  • Vendor-neutral automation approaches
  • Data abstraction techniques
  • Model-driven automation
  • Data validation methods

Lab

  • Exploring OpenConfig models
  • Validating data structures
  • Implementing model-driven automation

Day 2: Configuration Automation and Infrastructure as Code

Module 6

Advanced Junos PyEZ Automation

  • PyEZ architecture and capabilities
  • Configuration management workflows
  • Operational data collection
  • Bulk device management
  • Advanced scripting techniques
  • Automation optimization

Lab

  • Managing multiple Junos devices
  • Automating operational tasks
  • Developing advanced PyEZ scripts

Module 7

NETCONF and Model-Driven Management

  • Advanced NETCONF operations
  • Configuration transactions
  • Candidate configuration workflows
  • Locking and synchronization
  • Data validation processes
  • Operational best practices

Lab

  • Executing advanced NETCONF transactions
  • Managing concurrent changes
  • Validating configuration consistency

Module 8

Infrastructure as Code for Networks

  • Advanced IaC methodologies
  • Configuration templating
  • Variable management
  • Environment abstraction
  • Multi-site deployments
  • Configuration standardization

Lab

  • Building reusable deployment templates
  • Managing deployment variables
  • Deploying standardized configurations

Module 9

Automation with Ansible

  • Ansible architecture
  • Playbooks and roles
  • Inventory management
  • Variable handling
  • Network automation workflows
  • Junos automation modules

Lab

  • Creating Ansible playbooks
  • Automating Junos configurations
  • Executing large-scale deployments

Module 10

Source Control and Collaboration

  • Advanced Git workflows
  • Branching strategies
  • Repository management
  • Code review processes
  • Team collaboration models
  • Change auditing

Lab

  • Managing automation repositories
  • Performing code reviews
  • Implementing collaborative workflows

Day 3: CI/CD Pipelines, Validation, and Testing

Module 11

CI/CD Fundamentals for Network Automation

  • Continuous Integration architecture
  • Continuous Delivery and Deployment
  • Automation pipelines
  • Release management
  • Configuration promotion workflows
  • Operational risk reduction

Lab

  • Designing CI/CD workflows
  • Creating deployment pipelines
  • Managing staged deployments

Module 12

Automated Testing and Validation

  • Test-driven automation concepts
  • Configuration validation techniques
  • Operational state validation
  • Compliance verification
  • Pre-deployment testing
  • Post-deployment verification

Lab

  • Building automated validation scripts
  • Performing compliance testing
  • Verifying deployment outcomes

Module 13

Network Simulation and Automation Testing

  • Lab automation concepts
  • Virtualized network environments
  • Automation development environments
  • Test scenario creation
  • Regression testing
  • Continuous validation

Lab

  • Building virtual test environments
  • Executing automation test cases
  • Performing regression testing

Module 14

Configuration Compliance and Governance

  • Compliance frameworks
  • Configuration drift detection
  • Policy enforcement
  • Audit processes
  • Security controls
  • Governance best practices

Lab

  • Detecting configuration drift
  • Validating compliance policies
  • Generating audit reports

Module 15

Troubleshooting Automated Systems

  • Automation troubleshooting methodologies
  • Logging strategies
  • Workflow diagnostics
  • API troubleshooting
  • Configuration failure analysis
  • Operational recovery techniques

Lab

  • Diagnosing automation failures
  • Troubleshooting deployment issues
  • Recovering failed workflows

Day 4: Telemetry, Event-Driven Automation, and Automation at Scale

Module 16

Streaming Telemetry Fundamentals

  • Telemetry architecture
  • Data collection methods
  • Real-time monitoring
  • Analytics platforms
  • Performance visibility
  • Telemetry deployment considerations

Lab

  • Configuring telemetry streams
  • Collecting operational data
  • Monitoring network performance

Module 17

Event-Driven Network Automation

  • Event-driven architecture
  • Automated remediation concepts
  • Event correlation
  • Trigger-based workflows
  • Operational intelligence
  • Automation response design

Lab

  • Building event-driven workflows
  • Triggering automated responses
  • Validating remediation actions

Module 18

Automation and Network Analytics

  • Operational analytics
  • Data visualization concepts
  • Capacity planning
  • Predictive operations
  • Service assurance
  • AI-assisted operations overview

Lab

  • Analyzing telemetry data
  • Building operational dashboards
  • Evaluating network trends

Module 19

Scaling Automation Across the Enterprise

  • Multi-domain automation
  • Enterprise deployment models
  • Automation frameworks at scale
  • Operational standardization
  • Security considerations
  • Organizational adoption strategies

Lab

  • Designing enterprise automation architectures
  • Evaluating scaling strategies
  • Creating operational automation plans

Module 20

Automation Capstone Project

  • End-to-end automation solution design
  • Infrastructure as Code implementation
  • Automated deployment workflows
  • Validation and compliance checks
  • Telemetry integration
  • Operational documentation

Lab

  • Build and present a complete automation solution
  • Demonstrate deployment and validation workflows
  • Review architecture and best practices

— The Big Picture —

Key Takeaways

  • Advanced Junos automation capabilities
  • Python and PyEZ automation development
  • NETCONF, YANG, and OpenConfig integration
  • Infrastructure as Code deployment strategies
  • Ansible-based network automation
  • CI/CD implementation for network operations
  • Telemetry and event-driven automation
  • Enterprise-scale automation best practices

— Additional Details —

What else is included

Hands-On Activities Included

  • Advanced Python automation development
  • API integration and orchestration
  • Junos PyEZ automation
  • NETCONF and YANG implementation
  • OpenConfig deployment
  • Infrastructure as Code workflows
  • Ansible automation projects
  • Git collaboration exercises
  • CI/CD pipeline creation
  • Automated testing and compliance validation
  • Streaming telemetry deployment
  • Event-driven automation implementation
  • Enterprise automation architecture design
  • Capstone automation project

Note: Course outlines are provided as a general guide. Content, pacing, labs, and instructional emphasis may vary based on instructor expertise, student experience levels, and customer-specific learning objectives.

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