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  1. Programs
  3. AI Technical Practitioner

AI Technical Practitioner

Cisco Systems

Certification

Become a contributor for free to openly demonstrate student outcomes, industry alignment & eligibility criteria.

Validates technical skills in applying AI and machine learning concepts to networking solutions, including AI-driven automation, analytics, and Cisco AI-powered technologies.

Cost

$300Show moreShow less

Format

Online

Eligibility Calculator

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Program Pathways

Credentials this program stacks toward

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Program Details

Detailed information about this program

No detailed information available.

Requirements

What you need to earn this credential

No requirements listed.

Financial Aid

Eligible funding programs

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Scholarships

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Locations

Where this program is offered

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Related Programs

Programs related to this one

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Skills & Competencies

Skills developed through this program

  • Describe AI and machine learning fundamentals for network operations
  • Implement AI-driven network automation and monitoring tools
  • Analyze network data using AI-powered analytics platforms
  • Configure Cisco AI-enabled infrastructure solutions
  • Evaluate AI model outputs for network optimization decisions
  • Apply responsible AI principles to enterprise deployments
Career Pathways

Occupations this program prepares you for

  • Computer Systems Engineers/Architects15-1299.08
  • Computer Network Architects15-1241.00
  • Network and Computer Systems Administrators15-1244.00
  • Computer and Information Research Scientists15-1221.00
  • Software Developers15-1252.00
  • Computer Systems Analysts15-1211.00
What You'll Learn

Key competencies developed through this program

Auto-populated·from NSX Competency Framework

Mastery: developing (Level 2)(based on Certification)

  • Client system requirements — analyze and translate into preliminary technical specifications with reduced oversight in a professional services environment.
  • Hardware and software component recommendations — evaluate suitability for defined purposes and present options to project stakeholders using structured comparison frameworks.
  • Secure system implementation guidelines — prepare and communicate tailored security configuration instructions to installation teams for mid-scale deployments.
  • Operating systems and network software — coordinate and execute installation or upgrade projects across multiple workstations or servers with minimal supervision.
  • System operation monitoring — apply monitoring tools to detect performance degradation or failure indicators and initiate standard corrective responses.
  • User need assessments — identify required system data, hardware, and software components by conducting structured needs-analysis sessions with end users.
  • Object-oriented or web platform development software — configure and adapt development environments to support application deployment on assigned systems.
  • Technical documentation — produce clear written procedures and configuration guides using document management software for internal or client audiences.
  • Routine hardware and software maintenance — plan and execute scheduled maintenance cycles including upgrades to minimize operational downtime.
  • Systems evaluation — apply analytical methods to assess existing infrastructure performance against defined benchmarks in familiar organizational contexts.

Some details on this page are auto-populated from public workforce data sources: O*NET (opens in new tab), BLS (opens in new tab), College Scorecard (opens in new tab), DOL Training Provider Results (opens in new tab), NSX (opens in new tab). Provided in partnership with LER.me Career Intelligence.

Student Outcomes

Performance metrics for this program

Completion Rate
Not reported
Placement Rate
Not reported