Jobs for Cloud Computing
Browse jobs learning plans in Cloud Computing 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 100 Questions GRBack Office Software Engineering
A comprehensive 8-12 week modular program designed to prepare backend engineers for the Oracle OCP Java SE 17 Developer (1Z0-829) and Microsoft Azure Developer Associate (AZ-204) certifications while building practical competence in post-trade and back-office systems. The plan integrates certification exam objectives with hands-on experience in trade processing, reconciliation, corporate actions, real-time position calculation, and reporting systems. Includes parallel certification tracks, weekly study cadence, labs, practice exams, team rituals (study groups, code reviews, mock exams), checkpoints, remediation paths, and a capstone project simulating a real-world back-office platform.
Cloud ComputingDevOps +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
Role12 Modules 65 Questions GRProduction Software Engineer
Team template plan to get engineers production-ready for a low-latency platform role (Linux + Kubernetes + AWS + C# & C++ + SRE). Includes baseline skill checks, three parallel tracks (Cloud/AWS, Kubernetes/Ops, Performance Engineering), hands-on labs, assessments, and a capstone that ships a production-ready service. Optional milestones align to widely-recognized exams (AWS SAA-C03, CKA) for teams that want external validation; the plan stands alone without requiring any certification.
Cloud ComputingDevOps +1