Career Pathways

One certification. Multiple career pathways.

Participants apply the same 120-hour competency set across several occupational directions — inside an employer, across departments, or as a clearly scoped independent advisor.

01

AI Business Transformation Specialist

Support organizations in evaluating processes, identifying opportunities, and building AI transformation roadmaps.
02

AI Implementation Coordinator

Organize AI pilots, stakeholders, milestones, risks, testing, training, and performance reporting.
03

AI Adoption and Training Specialist

Prepare employees to use AI tools safely, responsibly, and effectively.
04

Internal AI Champion

Help an employer identify and coordinate responsible AI opportunities across departments.
05

AI-Enabled Business or Operations Analyst

Use AI, workflow analysis, and data to improve business processes and decisions.
06

Independent AI Advisor

Provide clearly scoped AI readiness, strategy, adoption, and implementation services to qualified clients.

Career outcomes depend on prior experience, local employer demand, qualifications, job-search activity, professional performance, and economic conditions. Certification does not guarantee employment, advancement, contracts, clients, or income.

Career Readiness

Career services built into the curriculum

Career preparation is not an afterthought. Module 11 and the capstone assessment embed employment and advisory readiness into the program.

  • Career pathway selection during orientation
  • Individual Training and Employment Plan
  • Professional portfolio built through applied labs
  • Résumé development and LinkedIn positioning
  • Interview preparation and mock questions
  • Internal advancement planning for incumbent workers
  • Ethical advisory scope-of-work templates
  • 30-day employment or business-development plan

Competencies

The skills employers can verify

Graduates document evidence of the following competencies:

  • Explain AI in clear business language
  • Use approved AI tools for workplace productivity
  • Verify AI-generated information
  • Conduct stakeholder discovery interviews
  • Identify business problems and root causes
  • Map current and future workflows
  • Complete an AI readiness assessment
  • Identify and prioritize AI use cases
  • Evaluate data readiness and information risks
  • Apply privacy and cybersecurity safeguards
  • Create responsible AI governance standards
  • Design human-review and escalation processes
  • Evaluate AI tools and vendors
  • Create a 90-day AI pilot roadmap
  • Develop employee training and adoption plans
  • Establish performance indicators
  • Calculate transparent ROI assumptions
  • Present executive recommendations
  • Create a professional AI transformation portfolio
  • Develop a career, advancement, or consulting plan

The Path

From first inquiry to employment follow-up

  1. 01

    Learn about the program

  2. 02

    Explore career pathways

  3. 03

    Review the curriculum

  4. 04

    Select a tuition or sponsorship option

  5. 05

    Apply

  6. 06

    Enroll

  7. 07

    Complete training

  8. 08

    Demonstrate competency

  9. 09

    Earn the credential

  10. 10

    Pursue employment, advancement, or advisory opportunities