Training Library - QA Platform

Learn cloud computing, test your cloud skills, and understand how to approach and solve business problems with real cloud scenarios across Amazon Web Services, Microsoft Azure, Google Cloud, DevOps, and other cloud ecosystem services. New content and updates are added every month.

En bref

Ajouté le

18 mars 2026

Matière et domaine

ai-and-automation · cloud-computing-devops

Niveaux scolaires

9e année (3e)–12e année (Terminale)

Type de page

Course

Introduction

SimuLabs Training Library Overview

The SimuLabs Training Library provides a wide range of technical courses, hands-on labs, and certification preparation materials across cloud platforms and development topics.

Key Certification Preparation Courses

  • AWS:
    • Solutions Architect – Associate (SAA-C03): Intermediate, ~72 hours.
    • Developer – Associate (DVA-C02): Intermediate, ~75 hours.
    • Fundamentals of AWS: Beginner, ~20 hours.
  • Microsoft Azure:
    • AZ-900 Fundamentals: Beginner, ~11 hours.
    • AZ-500 Security Technologies: Advanced, ~39 hours.
    • AI-900 AI Fundamentals: Beginner, ~10 hours (developed in partnership with Microsoft).
  • Other Certifications:
    • Terraform Associate 003: Beginner, ~14 hours.
    • Certified Kubernetes Administrator (CKA): Advanced, ~24 hours.

New Generative AI Hands-on Labs

  • Gen AI Practitioner: Evaluate and Iterate: Intermediate, 1.5 hours.
  • Gen AI Advanced: Personal AI: Intermediate, 1.5 hours.
  • Building AI Agents with Strands Agents and Amazon Bedrock: Beginner, 1 hour.

Additional Topics and Skill Areas

  • Cloud Fundamentals: Cloud Literacy, What is Cloud Computing?, Google Cloud Platform Fundamentals.
  • Development: Python for Beginners, Introduction to Kubernetes, DevOps Fundamentals.
  • Business: eCommerce Business Models Essentials.

Learning Format Features

  • Guided Learning Journeys: Curated paths designed to build expertise step-by-step.
  • Hands-on Labs: Practical, step-based exercises (e.g., "Create Your First Amazon EC2 Instance").
  • Varied Difficulty: Content is categorized by Beginner, Intermediate, and Advanced levels.
  • Comprehensive Resources: Courses include a mix of lessons, lab challenges, exams, and hands-on lab components.

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