Python Network Automation Corporate Training
Replace manual network changes with reliable Python automation your network team can trust.
Your team learns to automate network devices with Python: reading device state through APIs and CLI sessions, generating configurations from data models, pushing changes safely with dry runs and rollback, and validating every change automatically in guided hands-on labs.
Instructor-led group trainingVirtual / on-site / off-site10 languagesDelivered inEnglish, Spanish, Mandarin, German, Arabic, Portuguese, Hindi, French, Japanese, Italian100+ countriesWe have delivered inUnited States, United Kingdom, India, Canada, Germany, France, Netherlands, UAE, Saudi Arabia, Singapore, Australia, Japan, Brazil, South Africa and 90+ more countries
How we build a network team that automates with confidence team
The Edstellar NETWORK AUTOMATION Capability Model
Diagnose automation bottlenecks
We review your manual network workflows, change errors, and provisioning delays to find where Python automation pays off first.
Standardize device workflows
Your team learns one consistent approach to inventories, templates, and safe change patterns across every device.
Practice in guided labs
Teams automate real configuration and validation tasks in hands-on labs, with expert coaching on Python and network APIs.
Measure automation outcomes
You track change success rates, provisioning time, and error reduction against clear metrics tied to each workflow.
Scale what works
Winning automation scripts become reusable modules and team standards your whole network org can adopt.
Need more than one program?Get a group quote
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Program Overview: What is Python Network Automation?
Python Network Automation is Edstellar's instructor-led technical program for network and infrastructure teams who want device configuration and operations driven by code. Participants cover Python fundamentals, device access via CLI sessions and APIs, configuration templating from data models, safe change deployment with dry runs and rollback, and automated post-change validation. Six modules across 24 hours move teams from manual CLI work to automated networks.
Training is hands-on from the first module, with guided labs on realistic network setups. Participants connect to devices, render configurations from data models, deploy changes safely with dry runs and rollback, and validate outcomes automatically. Instructors review every exercise with direct feedback on safety, idempotency, and engineering judgment. The program closes with a capstone in which the team designs a complete automation workflow.
Network teams lose nights to manual configuration: a typo on one device, hours of rollback, and changes nobody can reproduce. This program teaches engineers to treat the network as code, with templated configs, tested changes, and validation built in. Every technique is practiced in labs, so the team trusts the automation before it touches production.
The capstone is a complete automation workflow designed for the team's own network context: device inventory and access, templated configuration generation, a safe deployment sequence with rollback, and post-change validation that proves the network is in the intended state. Participants walk through the workflow live, justify each safety decision, and return with a design their organization can build from.
The curriculum is relentlessly practical: every concept is followed by a guided lab against network device sandboxes. Your team works with device APIs and CLI sessions, data-driven configuration templates, diffs and idempotent change logic, snapshot-based validation, and finishes with a capstone automation workflow reviewed by the instructor.
What's Included in this Workshop for Your Enterprise Teams
- 1
Foundations
Python basics and connecting to network devices over CLI sessions and APIs.
- 2
Templating
Generating device configurations from structured data models and templates.
- 3
Safe Changes
Deploying changes with dry runs, diffs, and rollback strategies.
- 4
Validation
Automating post-change checks and snapshot-based verification.
- 5
Capstone
Designing and presenting a complete network automation workflow.
- Instructor-led delivery across virtual, onsite, and hybrid formats
- 24 hours of guided instruction with hands-on labs in every module
- Course materials, lab guides, and reusable Python automation templates
- Trainers with real network automation and infrastructure experience
- Cohort scheduling aligned to your team's availability and time zones
- Post-program support resources for applying methods to your network
Build your team's skills. Anywhere in the world.
Real-world use cases
from day one
Instructor-led training
for your teams
Delivered globally
in 100+ countries
Enterprise Training Solutions Customized for Your Company
One partner for instructor-led corporate training, delivered the way your teams work.
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Python Network Automation Course Topics and Program Outline
Six modules take your team from Python foundations and device access through configuration templating, safe change deployment, automated validation, and a final capstone automation workflow.
Built by Edstellar with network automation engineers who run Python-driven infrastructure in production
Built by network automation engineers who run Python-driven infrastructure in production, shaped around your stack and use cases.
We review your manual network workflows, change errors, and goals to target the automation skills that will help your team fastest.
Your team learns Python fundamentals, device access patterns, and output parsing through concise sessions with live demos.
Your team automates configuration templating, safe changes, and validation in guided hands-on labs against device sandboxes.
Your team designs a complete network automation workflow as the capstone and presents it for instructor review.
Outcome: a working automation workflow your team built for templating, safe changes, and validation, ready for operations review.
Delivered as
Delivered as 24 instructor-led hours with a guided lab in every module and a capstone automation workflow your team designs and presents.
Write Python scripts that read device inventories and generate simple configuration snippets in a guided lab.
learna)Python syntax and data structures for configs
b)Working with files and text processing
c)Control flow for device inventories
d)Virtual environments and package management
Connect to lab devices over CLI sessions and APIs, execute commands, and parse the output into structured data.
learna)SSH and command execution patterns
b)REST API basics for network devices
c)Parsing show command output
d)Handling credentials and connection failures
Model a lab network in structured data and generate complete device configurations from templates.
practicea)Data models for devices and services
b)Configuration templating patterns
c)Generating configs from inventories
d)Validating generated configurations
Deploy templated changes to lab devices with dry runs and diffs, then practice rollback on a failed change.
practicea)Pushing configurations safely
b)Change diffs and dry runs
c)Idempotency in network automation
d)Rollback strategies for failed changes
Build a validation suite that snapshots device state, runs post-change checks, and produces a pass or fail report.
practice_hfa)Automated post-change validation
b)Snapshot and state comparisons
c)Testing connectivity and routing
d)Building validation reports
Design, build, and present a full automation workflow covering templating, safe changes, and validation in one pipeline.
applya)Designing a complete automation pipeline
b)Integrating validation and rollback
c)Documenting the workflow for operations
d)Final demo and instructor review
Customize this program tailored to your team?
Tell us your training needs: what your team already works with, the level they’re at, and the topics you want them to focus on. We’ll adjust the modules, duration and hands-on labs, and send you a customized outline for your group.
Key Skills and Outcomes Your Team Will Gain
Your team leaves with the practical skills to automate network configuration, deploy changes safely, and validate network state with Python.
Script device interactions
Write Python scripts that connect to network devices over CLI sessions and APIs and run commands reliably.
Parse device output
Turn raw show command output into structured data your automation can reason about and act on.
Model networks as data
Build device inventories and service data models that drive consistent configuration generation.
Generate configurations
Use templating to produce accurate, repeatable device configs from your data models.
Deploy changes safely
Push changes with dry runs, diffs, and idempotent logic, always paired with a rollback plan.
Automate validation
Build post-change checks and snapshot comparisons that prove the network is healthy after every change.
Design automation workflows
Assemble templating, changes, and validation into complete automation pipelines for operations.
Teams that Benefit from this Python Network Automation Group Training
This program is built for network and infrastructure teams that spend hours on manual device changes and want reliable Python automation instead. Content adapts to each cohort's devices, tools, and experience level, so every group practices the automation workflows it actually runs.
Automate the device work you repeat every week
Network engineers learn to script configuration, provisioning, and troubleshooting tasks they perform manually today.
Workflow friction
- Manual changes on every device
- Inconsistent configs causing outages
- Slow provisioning under pressure
How the program helps
- Cut provisioning time with automation
- Reduce config errors across devices
- Standardize changes team-wide
Practice use cases
- config automation
- bulk provisioning
- change workflows
Run network changes like software releases
Infrastructure operations teams learn dry-run, diff, and rollback patterns that make network changes safe and repeatable.
Workflow friction
- Risky changes with no safety net
- No way to preview config impact
- Long recovery after bad changes
How the program helps
- Dry-run changes before applying
- Roll back failed changes fast
- Track every change applied
Practice use cases
- safe deployments
- change validation
- rollback drills
Bring networks into your automation pipelines
DevOps and platform teams learn to integrate network automation into CI pipelines and infrastructure-as-code workflows.
Workflow friction
- Networks outside automation
- Manual steps breaking pipelines
- No network test automation
How the program helps
- Version network configs in git
- Automate network in pipelines
- Unify app and network delivery
Practice use cases
- pipeline integration
- config versioning
- infra as code
Harden networks with automated checks
Security operations teams learn to automate configuration audits, compliance checks, and rapid remediation across devices.
Workflow friction
- Manual audits missing drift
- Inconsistent security configs
- Slow incident response
How the program helps
- Audit configs automatically
- Enforce hardening baselines
- Remediate drift quickly
Practice use cases
- config audits
- compliance checks
- drift remediation
Each department track uses the same curriculum, with lab scenarios weighted toward the network work that group owns.
Prerequisites: No prior Python experience is required, which makes this program a fit for network engineers, infrastructure staff, and operations teams. Participants benefit most from comfort with network device CLIs and basic networking concepts. Labs run in provided device sandboxes, and the program adapts examples to each team's devices and tooling.
Network Engineer to Automation Developer
Skills progress from Python fundamentals and device access to advanced templating, validation, and workflow design, each backed by hands-on labs and the capstone.
One program that grows with infrastructure careers, from Python scripting basics to confident network automation design.
Mixed cohort, or several teams at once?
We can tailor the training to different teams, roles, and experience levels within the same program.
Certificate of Training Completion.
On successful completion, employees receive an Edstellar course completion certificate, recognizing their commitment to ongoing learning and professional development. It validates the skills they have built and motivates them to keep growing and contribute to organizational success.
Earned, not attended. Awarded on completion of all hands-on labs and the capstone project.
Training Delivery Modes: Virtual, Onsite and Hybrid
Choose the delivery format that fits your teams: live virtual, onsite at your office, or a hybrid of both.
Hybrid Training
A blended schedule with virtual sessions and onsite lab days. Your team gets remote flexibility plus in-person collaboration for guided labs and the capstone workflow build.
- Flexible mix of virtual and onsite sessions
- Onsite lab days for complex automation
- Cohorts across locations in one program
- Schedule shaped around maintenance windows
Onsite Training
The full 24 hours delivered at your location. Whiteboard design sessions and face-to-face lab reviews make this the most immersive way to learn Python Network Automation.
- Immersive full-day or multi-day format
- Whiteboard design with your network team
- Face-to-face coaching during every lab
- Private cohort focused on your devices
Live Virtual Training
Live instructor-led sessions delivered online with the same 24-hour curriculum, labs, and capstone. Your team joins from anywhere with a browser and a lab environment.
- Same curriculum and labs as onsite
- Live instructor Q&A in every session
- Lab device sandboxes provided
- Session recordings for review
Need a training format that works for your team?
Full days, half days across weeks, or split by module. Tell us the delivery window and we schedule the cohort around it.
Frequently Asked Questions
Share your team size, preferred dates, and delivery format, and we will send a tailored quote for Python Network Automation within one business day.
Yes. A training advisor will walk you through the curriculum, lab setup, and scheduling options on a short discovery call.
Yes. Every module runs live online with an instructor, including all guided labs, with the same content as onsite delivery.
Yes. Onsite delivery is available for private cohorts, and hybrid schedules combine virtual sessions with onsite lab days.
The program runs 24 instructor-led hours, typically delivered over three to four days depending on your schedule.
Question not answered here?
Put it in the request. A training specialist answers it directly, within one business day.
Where this Training Fits in Your Team's learning path.
Python network automation needs two foundations: networking at CCNA level and Python itself. With both in place, your engineers automate configuration and checks, and then move to intent-based networking where controllers manage the network from defined policy.
Why Choose Edstellar as Your Python Network Automation Corporate Training Provider
Edstellar is a focused partner for infrastructure teams automating their networks. With 5,000+ certified trainers and 2,000+ courses, we deliver hands-on Python network automation training shaped around your devices and workflows.
EXPERT TRAINERS
YEARS DELIVERING
ORGANIZATIONS TRAINED
CERTIFIED
Tailored
Labs and the capstone are shaped around your device platforms, inventories, and workflows, so scripts map to your network.
Proven Methodology
A Diagnose, Standardize, Practice, Measure, and Scale arc takes your team from manual changes to trusted network automation.
Practice-Based Learning
Every module includes a guided hands-on lab against network device sandboxes, ending with a full automation workflow your team builds.
Expert Trainers
Learn from engineers who run Python-driven network infrastructure in production and have automated real enterprise networks.
Global Scale
The same program runs for distributed cohorts across time zones, with scheduling that fits your teams and maintenance windows.
Measurable Outcomes
Track provisioning time, change success rates, and error reduction against clear metrics set at the start of the program.
Automate Network Changes With Structured Data, Controlled Deployment, and Verification
Edstellar helps network teams move from manual commands to reviewable Python workflows. Participants collect device state, generate configuration from data models, and rehearse changes with diffs and rollback. The integrated capstone demonstrates how templating and validation work together, with feedback on intended scope, failure handling, and evidence of post-change behavior.
- Step 01
Consult
We assess device CLI and networking familiarity, recurring configuration work, and troubleshooting needs to identify gaps in scripting, structured output, or change verification.
- Step 02
Plan
We build Python inventory skills before CLI and API access, configuration models and templates, then dry runs, rollback, and automated validation in one workflow.
- Step 03
Align
We align network automation expertise with the cohort's device experience, confirming sandbox access and explicit training boundaries before any configuration or state-changing exercise.
- Step 04
Customize
We adapt sample inventories, templates, and desired-state checks to familiar network patterns, introducing failed changes that require diffs, rollback decisions, and renewed validation.
- Step 05
Execute
Participants generate configurations, compare proposed changes, and test rollback on lab devices, receiving feedback on scope control, parsing accuracy, and the usefulness of validation reports.
- Step 06
Evaluate
We assess the automation workflow for consistent data-driven configurations, bounded deployment behavior, demonstrated rollback, and post-change evidence that verifies the intended network state.
Also from Edstellar
Talent assessments
Psychometric, behavioral, leadership and 360-degree assessment.
→Training needs analysis
Needs analysis, gap identification, and a training roadmap.
→L&D consulting
Learning strategy, content, technology and ROI measurement.
→OD consulting
Org design, succession planning and cultural change.
→Managed training services
Training outsourcing, vendor management, logistics and administration.
→Coaching solutions
Executive and manager coaching that keeps skills in use.
Start an RFP shaped to your needs.
Answer three quick questions about team size, scope, and how often you need the program run, then send the request from the last step. Everything you choose travels with it, so you only fill this in once.
How many team members need training?
Python Network Automation Training Training Packages & Pricing
Where L&D holds an annual budget, license packages price the whole year at once instead of raising a purchase order per workshop. Hours and licenses are pooled across teams, programs and locations, so unused capacity is not stranded in one department.
Starter
120
trainee licenses64 hours of group training
Tailored for SMBs
Growth
320
trainee licenses160 hours of group training
Ideal for growing SMBs
Enterprise
800
trainee licenses400 hours of group training
Designed for large corporations
Custom
Unlimited
trainee licensesDuration set by the rollout
Multi-region and multi-year
Training Packages & Pricing
Choose the training format that works for your team. Pricing is customized based on your requirements, cohort size, and delivery needs.
Request Python Network Automation Training for Your Team
Tell us about your network team and automation goals, and a training advisor will design the right cohort for you.