Specialised Technical Course
Next-Generation Networking and AI-Driven Network Automation
Build an AI-assisted network automation workflow with explicit input checks, change validation, human review and rollback controls.
Course Overview
Examines network automation using AI-assisted analysis and decision support. Participants review input data, proposed changes and the validation and rollback controls needed for automation.
Who This Course Is For
- Network engineers designing automation workflows
- Infrastructure automation and operations specialists
- Technical leads reviewing AI recommendations
- Security teams assessing automated changes
What Participants Will Learn
Map an AI-assisted network automation workflow
Assess input data and recommendation limitations
Define checks before applying network changes
Plan rollback triggers and review responsibilities
Evaluate an automation design through scenarios
Key topics
- Automation workflows
- Input data quality
- Change validation
- Rollback controls
Course Modules
Back to Course OverviewNetwork Automation and AI Context
Network Automation and AI Context
Module overview
Review how AI-assisted analysis can inform network workflows and identify the input, validation and rollback questions it introduces.
Key topics
Automation workflows · Input data quality · Change validation · Rollback controls
Learning outcome
Describe the stages and decision points in an AI-assisted network workflow.
Learning format
Technical explanation · worked examples · architecture exercise
Inputs and Recommendation Quality
Inputs and Recommendation Quality
Module overview
Assess network data and the assumptions affecting automated recommendations before changes are proposed.
Key topics
Input completeness · Data quality checks · Recommendation assumptions · Evidence limitations
Learning outcome
Identify input problems and recommendations requiring further human review.
Learning format
Technical explanation · worked examples · architecture exercise
Workflow and Change Boundaries
Workflow and Change Boundaries
Module overview
Define the scope of proposed automation and the responsibilities governing network changes.
Key topics
Workflow boundaries · Change scope · Review ownership · Approval checkpoints
Learning outcome
Outline a bounded automation workflow with clear review responsibilities.
Learning format
Technical explanation · worked examples · architecture exercise
Validation and Rollback Controls
Validation and Rollback Controls
Module overview
Plan checks for proposed changes and define triggers and dependencies for reversing an unsuitable change.
Key topics
Change validation · Expected behaviour · Rollback triggers · Restoration checks
Learning outcome
Specify validation criteria and rollback requirements for a proposed network change.
Learning format
Technical explanation · worked examples · architecture exercise
Automation Design Review
Automation Design Review
Module overview
Review an AI-assisted workflow against input quality, validation evidence and recovery expectations.
Key topics
Automation design case · Input review · Validation evidence · Rollback plan
Learning outcome
Participants can outline an AI-assisted network workflow with review and rollback checks.
Learning format
Lectures, automation exercises and design review
Programme Information
Course duration, location, practical components, training-centre information and applicable certification arrangements depend on the selected programme.
Learning format: Lectures, automation exercises and design review
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