Careers in AI
An AI credential can open doors, but only if you choose the right one for your goals. Here's how to think about building a career in AI.
AI is changing what employers look for across a widening range of roles — not only software engineering. Business analysts, managers, educators, and data professionals are all increasingly expected to understand and apply AI in their work. The right certification depends on which of these directions matches your goals.
Certification-Aligned Career Paths
Business & Operations Roles
For business analysts, product, marketing, and operations professionals applying AI in their day-to-day work — see Certified AI Professional (CAIP).
AI Leadership & Management
For leaders and operational managers driving AI initiatives and teams — see Certified AI Manager (CAIM).
AI Education & Training
For K-12 teachers, higher-ed faculty, and corporate trainers teaching AI concepts — see Certified AI Educator (CAIE).
Data & Analytics Roles
For data analysts, scientists, and BI specialists applying AI to data — see AI Data Analyst (AIDA).
AI Engineering & Agent Development
For software and ML engineers building AI agents — see Certified AI Agent Engineer (CAAE), coming soon.
Plan Your Path
Not sure which path fits?
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Find Your Certification Path