Building AI Foundations: Infrastructure, Readiness, and Value Assessment

Prepare your organisation for successful AI adoption with AWS

AI initiatives are more likely to deliver lasting value when organisations understand where they are starting from, what needs to change, and how success will be measured.

On this three-week course from AWS, you’ll examine the foundations that support effective AI adoption, from organisational maturity and data readiness to infrastructure, KPIs, and return on investment.

Assess AI readiness and organisational maturity

Start by evaluating where your organisation sits on the AI maturity spectrum.

You’ll identify the root causes that may be slowing progress, distinguish them from surface-level symptoms, and consider how to prioritise the most important operational gaps when resources are limited.

Strengthen data and infrastructure foundations

Examine the data, ownership, accessibility, and technology foundations needed before AI initiatives can scale successfully.

You’ll use AWS-informed approaches to identify quality and infrastructure gaps, consider enterprise approaches to data sharing and ownership, and assess where improvements are needed before deployment.

Measure AI value and prove impact

Learn how to define meaningful KPIs and establish baseline measures before implementation.

You’ll explore how to assess tangible and intangible benefits, calculate ROI across time savings, cost reductions, and productivity, and track the ongoing cost drivers and indicators that shape long-term value.

By the end, you’ll be better equipped to assess AI readiness, prioritise investment, and demonstrate whether AI initiatives are delivering meaningful business impact.

You’ll access learning content and practical activities online through Amazon Web Services (AWS), alongside your FutureLearn course experience, giving you direct access to AWS learning as you progress.

Assess AI readiness with AWS, strengthen data and infrastructure foundations, define KPIs, and measure ROI and business value for enterprise AI adoption.

Assess AI readiness with AWS, strengthen data and infrastructure foundations, define KPIs, and measure ROI and business value for enterprise AI adoption.

• Assess your organization's AI readiness across the dimensions that determine success or failure
• Classify where you sit on the AI maturity spectrum and what that means for next steps
• Differentiate data infrastructure readiness gaps and prioritize improvements that support AI objectives
• Apply data strategy components (data ownership, data sharing frameworks) required to support AI implementation at enterprise scale
• Distinguish appropriate KPIs for AI initiatives, differentiating between tangible benefits and intangible benefits
• Apply baseline measurement frameworks to establish the metrics required before AI implementation to enable accurate measurement of AI adoption effects