Preparing for the cloud-driven future: Pluralsight's cloud ready initiative

Learn how Pluralsight’s Cloud Ready programme aims to address cloud skills gaps and support organisations in achieving AI-readiness and maximising ROI.

Pluralsight, a technology skills development company, has introduced “Pluralsight Cloud Ready,” a programme designed to support organisations working on cloud migration, infrastructure modernisation, and scaling AI-related initiatives.

The programme is aimed at technology leaders, cloud teams, IT organisations, and enterprise workforces involved in areas such as cloud cost management and AI infrastructure development. It combines skill assessments, structured learning paths, certification preparation, instructor-led training, and hands-on labs.

As organisations increase cloud adoption, some are focusing more on governance, cost control, and achieving measurable outcomes. Despite continued growth in cloud spending, some organisations report difficulties in realising expected benefits, often linked to skills gaps.

AI workloads are also contributing to increased demand on cloud infrastructure, while many organisations are still developing internal expertise to manage these workloads effectively. Gartner has projected that by 2029, AI workloads will account for a significant share of cloud resource usage.

Developing cloud capability typically involves a structured approach that includes building foundational skills, developing role-based expertise, and aligning with current cloud strategies. The Cloud Ready programme includes self-paced learning, skill assessments, and enterprise-focused training approaches intended to support workforce development and operational efficiency.

Key components of the programme include:
  • Readiness assessment: Skill assessments and programme management tools designed to help organisations identify capability gaps, support onboarding, and plan learning paths aligned with cloud transformation objectives.
  • Role-based capabilities: Structured learning paths for roles such as architecture, engineering, security, and AI-related modernisation, supported by certification preparation, live sessions, and practical workshops.
  • Practical validation: Hands-on labs and cloud sandbox environments that allow learners to gain experience with platforms such as AWS and Microsoft Azure before applying skills in production environments.
Overall, the programme is positioned as a structured training and skills development approach intended to support organisations in developing cloud and AI capabilities and improving operational efficiency.
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