Specialist Training for AI
Capita · Intelligence & Research
Certification per AWS Marketplace.
Evidence tier Source Confirmed · 4 captures on record
What the publisher says
As described on AWS Marketplace.
Specialist Training for AI delivers advanced artificial intelligence training programmes designed specifically for public sector organisations. Capita helps demystify AI for non‑technical leaders while building deeper capability for technical teams, enabling organisations to adopt AI confidently, ethically, and effectively. Training is rooted in real public sector use cases - such as healthcare, citizen services, and operational analytics - ensuring learning is practical, relevant, and immediately applicable.
The service offers a flexible, end‑to‑end AI curriculum ranging from foundational awareness sessions through to hands‑on technical training. Programmes can include AI awareness workshops, role‑specific courses for analysts and IT teams, and tailored modules covering machine learning, data science, natural language processing, and automation. Ethical AI and governance are embedded throughout, with training aligned to public sector requirements around data protection, transparency, and responsible use. Delivery formats include workshops, bootcamps, blended learning, and optional certification pathways, with content adapted to the organisation’s existing data, tools, and priorities.
Show the rest of the publisher’s description (1 more line)
By building internal AI capability, organisations accelerate adoption while reducing reliance on external consultants. Teams gain confidence to identify, design, and implement AI‑enabled improvements safely and compliantly, leading to measurable efficiency gains, better decision‑making, and improved service delivery. Ongoing mentoring and follow‑up support help ensure skills translate into real outcomes, enabling public sector organisations to innovate responsibly while strengthening workforce capability for the future.
Highlights
Highlighted by the publisher on AWS Marketplace.
Practical AI training for public sector teams – Programmes designed to demystify AI for non‑technical staff while building advanced capability for technical practitioners, using real public sector use cases to ensure learning is relevant and actionable.
Ethical, responsible AI by design – Training embeds data ethics, governance, transparency, and GDPR considerations throughout, helping organisations adopt AI confidently and compliantly while maintaining public trust.
Flexible learning from awareness to hands‑on delivery – Modular curriculum covering AI foundations, machine learning, automation, and applied AI, delivered through workshops, bootcamps, blended learning, and optional follow‑up mentoring to turn skills into outcomes.
Agent build and provenance
See the full provenance
The layer-by-layer build, the evidence behind each claim, the risk basis and the cross-marketplace links are open to any account. Some rows are disclosed, some the source leaves Unknown; a free account shows you which.
Compliance
- FedRAMPConfirmedNot listed90%, registry-checkedNo FedRAMP Marketplace entry matched this vendor's domain, checked 2026-08-27registry recordas observed 2026-08-27
Confirmed means matched to a public authoritative registry. Claimed means the vendor or its listing states it, not yet cross-checked. A framework not shown was not found in any source we hold, which is not evidence against it. Not listed means a scoped registry check found no match for this vendor's domain: a No is a scoped registry check, not a compliance judgment. Confidence bands: 95% domain-verified, 90% registry-checked, 80% self-attested, 70% weak signal. Self-attested items marked “vendor's site” are gathered from the vendor's own website and are not verified by us.
Vendor
External enrichment · as of 2026-08-29
Sources
Publisher resources
1 linkLinked repositories
Unknown means this listing does not publish a repository. It is not a statement that the code is closed, and a linked repository is not a claim that the publisher wrote it: the registry computes that relationship privately and does not publish it.
Evidence risk is the share of the build you cannot see before you deploy, not a security rating. Sign in to see the layer-by-layer basis for this band.