WGU E026 TASK 2
AI-Assisted Network
Implementation and Automation
GNS3 deployment | Netmiko automation | JSON API processing
Telemetry parsing | Version control | Video demonstration
Student: [Replace with your name]
Student ID: [Replace with your ID]
Date: [Replace with submission date]
Implementation report and evidence framework
2026 Edition
, Submission Readiness Notice
Authentic evidence required. Replace the cover fields and every bracketed placeholder. Insert screenshots of your
own running GNS3 project, your own terminal outputs, your active WGU GitLab URL, and your accessible video URL.
Sample outputs demonstrate the expected format but are not proof that your environment executed them.
This report translates the Task 1 conceptual hybrid design into a resource-conscious GNS3 proof of concept. It retains an
on-premises LAN, segmented user/server/management/security networks, a named Palo Alto Networks firewall and IDS/IPS
boundary, a cloud-facing connection, centralized telemetry, Python automation, JSON API processing, and version-controlled
infrastructure artifacts.
Rubric area Evidence included Student action before submission
A Methodology and topology comparison Confirm it matches the actual build
B Architecture, addressing and reachability Insert original screenshots and output
C Complete Netmiko automation script Execute in the authorized lab
D JSON payload, parser, test data and output Replace sample output
E JSON export and repository structure Insert active GitLab URL and commit
F Video access checklist and agenda Record, test and insert URL
Assumptions:
• GNS3 runs locally or through the GNS3 VM with sufficient resources.
• Legally licensed IOSv/IOSvL2 or equivalent images provide routing and switching.
• Palo Alto VM-Series is used only if a properly licensed image is available. The production design remains Palo Alto Networks
PA-Series with Threat Prevention.
• Automation reaches management IP addresses from the admin endpoint over SSH.
• All testing occurs only inside the authorized lab.
WGU E026 Task 2 | AI-Assisted Network Implementation Page 2 of 15
AI-Assisted Network
Implementation and Automation
GNS3 deployment | Netmiko automation | JSON API processing
Telemetry parsing | Version control | Video demonstration
Student: [Replace with your name]
Student ID: [Replace with your ID]
Date: [Replace with submission date]
Implementation report and evidence framework
2026 Edition
, Submission Readiness Notice
Authentic evidence required. Replace the cover fields and every bracketed placeholder. Insert screenshots of your
own running GNS3 project, your own terminal outputs, your active WGU GitLab URL, and your accessible video URL.
Sample outputs demonstrate the expected format but are not proof that your environment executed them.
This report translates the Task 1 conceptual hybrid design into a resource-conscious GNS3 proof of concept. It retains an
on-premises LAN, segmented user/server/management/security networks, a named Palo Alto Networks firewall and IDS/IPS
boundary, a cloud-facing connection, centralized telemetry, Python automation, JSON API processing, and version-controlled
infrastructure artifacts.
Rubric area Evidence included Student action before submission
A Methodology and topology comparison Confirm it matches the actual build
B Architecture, addressing and reachability Insert original screenshots and output
C Complete Netmiko automation script Execute in the authorized lab
D JSON payload, parser, test data and output Replace sample output
E JSON export and repository structure Insert active GitLab URL and commit
F Video access checklist and agenda Record, test and insert URL
Assumptions:
• GNS3 runs locally or through the GNS3 VM with sufficient resources.
• Legally licensed IOSv/IOSvL2 or equivalent images provide routing and switching.
• Palo Alto VM-Series is used only if a properly licensed image is available. The production design remains Palo Alto Networks
PA-Series with Threat Prevention.
• Automation reaches management IP addresses from the admin endpoint over SSH.
• All testing occurs only inside the authorized lab.
WGU E026 Task 2 | AI-Assisted Network Implementation Page 2 of 15
