Jobs for Artificial Intelligence
Browse jobs learning plans in Artificial Intelligence on Elandi.
Role12 Modules 55 Questions GRMachine Learning Researcher
A comprehensive 12-week learning plan designed to prepare for both AWS Certified Machine Learning – Specialty (MLS-C01) and Google Cloud Professional Machine Learning Engineer certifications. This plan follows an overlap-first approach, covering shared ML concepts before addressing platform-specific differences. It includes diagnostic assessment, optional refresher tracks, hands-on labs using free-tier resources, research-oriented practices, and a 2-week exam simulation phase. Structured for part-time study alongside work with emphasis on applied practice, MLOps, and exam readiness.
Artificial IntelligenceCloud Computing +1
Role11 Modules 60 Questions GRMachine Learning Engineer
Template plan to prepare a team for ML Engineer responsibilities and the Google Professional Machine Learning Engineer certification. Includes a core 6–8 week sprint and an extended 12–16 week track, with hands-on labs/projects, practice exam cadence, and an optional multi-cloud mapping module (AWS/Azure). Fill in placeholders for team size, weekly time budget, and cloud access.
Artificial IntelligenceCloud Computing +1