Hardware-Networking
Automation for Network and Infrastructure Teams
This practical course helps professionals master automation for network and infrastructure teams, scripts, templates, APIs, validation, change control, and reporting. The program connects key concepts, real use cases, risks, tools, and operational decisions so participants can apply the learning in their work environment. It can be tailored to the organization’s sector, internal systems, participant maturity, and performance objectives.
Objectives
- Understand the concepts, challenges, and use cases related to automation for network and infrastructure teams, scripts, templates, APIs, validation, change control, and reporting.
- Identify the data, systems, processes, and stakeholders required for effective implementation.
- Assess risks, limitations, governance requirements, and practical control points.
- Use methods, tools, and templates to structure analysis and decision-making.
- Translate learning into action plans, recommendations, and measurable improvement opportunities.
- Adapt the approach to the operating context, team maturity, and business objectives.
Target audience
- Network, systems, and infrastructure administrators
- Support technicians and IT engineers
- Data center, endpoint, and operations teams
- Professionals preparing for networking certifications
- IT managers responsible for availability and resilience
Program outline
A clear structure for the learning journey.
Program outline
Outline points are grouped in one designed block instead of being treated as separate module cards.
Module 1: Network Automation Use Cases and Operating Model
Foundation for Network Automation Use Cases and Operating Model: application, analysis, and review points linked to the module
Terminology and decisions in Network Automation Use Cases and Operating Model: application, analysis, and review points linked to the module
Inputs required for Network Automation Use Cases and Operating Model: application, analysis, and review points linked to the module
Typical mistakes around Network Automation Use Cases and Operating Model: applied exercise and practical decision from a realistic scenario
Module 2: Python, APIs, Netmiko, RESTCONF, and Device Access
Current-state mapping for Python, APIs, Netmiko, RESTCONF, and Device Access: application, analysis, and review points linked to the module
Examples and scenarios involving Python, APIs, Netmiko, RESTCONF, and Device Access: application, analysis, and review points linked to the module
Diagnostic questions about Python, APIs, Netmiko, RESTCONF, and Device Access: application, analysis, and review points linked to the module
Evidence produced through Python, APIs, Netmiko, RESTCONF, and Device Access: applied exercise and practical decision from a realistic scenario
Module 3: Inventory, Source of Truth, Variables, and Configuration Data
Design considerations for Inventory, Source of Truth, Variables, and Configuration Data: application, analysis, and review points linked to the module
Roles and responsibilities in Inventory, Source of Truth, Variables, and Configuration Data: application, analysis, and review points linked to the module
Exceptions and constraints affecting Inventory, Source of Truth, Variables, and Configuration Data: application, analysis, and review points linked to the module
Quality checks for Inventory, Source of Truth, Variables, and Configuration Data: applied exercise and practical decision from a realistic scenario
Module 4: Templates, Configuration Generation, and Standardization
Operating model for Templates, Configuration Generation, and Standardization: application, analysis, and review points linked to the module
Tools and workflow steps in Templates, Configuration Generation, and Standardization: application, analysis, and review points linked to the module
Handoffs and approvals around Templates, Configuration Generation, and Standardization: application, analysis, and review points linked to the module
Escalation points in Templates, Configuration Generation, and Standardization: applied exercise and practical decision from a realistic scenario
Module 5: Pre-Checks, Post-Checks, Validation, and Compliance Testing
Performance measures for Pre-Checks, Post-Checks, Validation, and Compliance Testing: application, analysis, and review points linked to the module
Review routines after Pre-Checks, Post-Checks, Validation, and Compliance Testing: application, analysis, and review points linked to the module
Improvement actions for Pre-Checks, Post-Checks, Validation, and Compliance Testing: application, analysis, and review points linked to the module
Sustaining discipline around Pre-Checks, Post-Checks, Validation, and Compliance Testing: applied exercise and practical decision from a realistic scenario
Module 6: Change Control, Rollback, Logging, and Audit Evidence
Advanced scenarios in Change Control, Rollback, Logging, and Audit Evidence: application, analysis, and review points linked to the module
Failure patterns seen in Change Control, Rollback, Logging, and Audit Evidence: application, analysis, and review points linked to the module
Coordination challenges during Change Control, Rollback, Logging, and Audit Evidence: application, analysis, and review points linked to the module
Recovery actions for Change Control, Rollback, Logging, and Audit Evidence: applied exercise and practical decision from a realistic scenario
Module 7: Automation Safety, Error Handling, and Operational Handover
Governance requirements for Automation Safety, Error Handling, and Operational Handover: application, analysis, and review points linked to the module
Data quality checks in Automation Safety, Error Handling, and Operational Handover: application, analysis, and review points linked to the module
Risk controls related to Automation Safety, Error Handling, and Operational Handover: application, analysis, and review points linked to the module
Value measures for Automation Safety, Error Handling, and Operational Handover: applied exercise and practical decision from a realistic scenario
Module 8: Network Automation Lab
Implementation planning for Network Automation Lab: application, analysis, and review points linked to the module
Readiness questions before Network Automation Lab: application, analysis, and review points linked to the module
Pilot design for Network Automation Lab: application, analysis, and review points linked to the module
Lessons learned after Network Automation Lab: applied exercise and practical decision from a realistic scenario
Materials provided
- ○ Slides used during the sessions
- ○ Group activities and practical exercises
- ○ Worksheets, checklists, and templates
- ○ Case studies relevant to the course
- ○ 4D Certificate of Completion issued by 4D Training & Consultancy
- ○ Post-course support for technical queries and guidance
Training Options
Programs can be delivered in-house, online, or in a blended format depending on your team's schedule, location, and learning objectives. When an external certificate or exam is included, certification rules and fees remain under the relevant awarding body's policies, while 4D provides the training and preparation support.
Why choose 4D
4D Training & Consultancy designs technical and professional programs around the client’s operating reality. The course can be adapted to sector requirements, internal systems, team capability, practical use cases, and the level of depth required by the audience.
Related courses
Advanced Enterprise Networking: CCNP Preparation & Beyond
This comprehensive course, Advanced Enterprise Networking: CCNP Preparation & Beyond, is meticulously designed for network professionals seeking to deepen their understanding of enterprise-level network infrastructure and prepare for the Cisco Certified Network Professional (CCNP) Enterprise certification. Starting with a robust review of networking fundamentals, the program progressively dives into advanced topics such as sophisticated switching and routing protocols, critical IP services, foundational network security, and essential wireless networking concepts. A significant portion of the course is dedicated to introducing the paradigm shift towards network automation and programmability, equipping learners with the skills to manage modern, evolving network environments. Through a blend of theoretical instruction and extensive hands-on labs utilizing industry-standard simulation tools, participants will gain the practical expertise necessary to design, implement, troubleshoot, and optimize complex enterprise networks.
View courseAI for Network Monitoring and Troubleshooting
This practical course helps professionals master AI for network monitoring, anomaly detection, root cause support, ticket enrichment, and troubleshooting workflows. The program connects key concepts, real use cases, risks, tools, and operational decisions so participants can apply the learning in their work environment. It can be tailored to the organization’s sector, internal systems, participant maturity, and performance objectives.
View courseAI-Ready Data Center Networking
This practical course helps professionals master AI-ready data center network design, bandwidth, latency, east-west traffic, telemetry, and resilience. The program connects key concepts, real use cases, risks, tools, and operational decisions so participants can apply the learning in their work environment. It can be tailored to the organization’s sector, internal systems, participant maturity, and performance objectives.
View course