Cloud Institute

Assess current team capabilities using baseline skill assessments to identify knowledge gaps.

Assign targeted 'Project Readiness' learning paths tailored to the chosen target cloud vendor.

Staff complete hands-on labs to simulate and practice secure migration scenarios.

Management tracks overall team readiness via the analytics dashboard before project kickoff.

User selects the specific vendor Certification Readiness track from the catalog.

User completes structured video modules and chapter quizzes.

User practices architectural designs in provided sandboxed lab environments.

User takes full-length mock assessments and schedules 1-on-1 coaching to gauge exam readiness.

Identify staff for the 'Reskill & Redeploy' enterprise program.

Map out a comprehensive DevOps and Cloud General Skills curriculum for the cohort.

Engage learners with 1-on-1 coaching for personalized technical guidance and unblocking.

Reassign newly certified staff to modern cloud-native project teams upon completion.

Enroll development and operations teams in the Cloud Security technical training area.

Developers practice identifying and patching vulnerabilities in secure lab environments.

Teams are tested on identity and access management (IAM) and network security best practices.

Managers review assessment scores to ensure compliance with internal security standards.

Users access the AI / ML specific training category on the platform.

Users review foundational concepts of cloud-based machine learning pipelines.

Users execute model training and deployment in vendor-specific labs (e.g., AWS SageMaker).

Users validate their new skills through capstone projects and technical assessments.