Get Certified on the Cloud Platform You Actually Use
Two courses — AWS AI Practitioner Prep, then GCP AI Engineer Prep. Each stands on its own, and each ends in exam readiness you can act on, not just a certificate of attendance.
How the Track Works
Two courses, back to back, two months each: AWS AI Practitioner Prep, then GCP AI Engineer Prep. You’re never locked in beyond two months — each course ends in its own certification-readiness assessment and its own moventAI certificate.
The Two Courses
AWS AI Practitioner Prep — 2 months, 24 sessions —
SageMaker, Bedrock, the AWS AI service landscape, certification prep. Ends in certification readiness for the AWS Certified AI Practitioner (AIF-C01) exam — two full-length mock exams and domain-by-domain scenario practice.
GCP AI Engineer Prep — 2 months, 24 sessions —
Vertex AI, MLOps automation, GenAI on Google Cloud, certification prep. Ends in a capstone: a deployed, monitored ML/RAG solution on Vertex AI, plus mock exams for the Google Cloud Professional Machine Learning Engineer certification.
Where to Start
- New to cloud AI certifications, or your company runs on AWS? Start with AWS AI Practitioner Prep.
- Already have hands-on ML experience and want the more advanced credential, or your company runs on Google Cloud? GCP AI Engineer Prep might be the better place to jump in.