Introduction
The programme “Improving Public Services Using Cloud and Artificial Intelligence Technologies” develops professional practice in Public Service. It connects the subject with workplace challenges by examining existing evidence and practices and choosing methods appropriate to the organization and its available resources.
The learning progresses from cloud computing, integration, and service continuity to human resource planning and job analysis, with practical work on artificial intelligence applications and controls, information systems analysis, integration, and service management, public service development and policy outcomes. Participants prepare outputs to support workplace application and review the quality and results of implementation.
Learning objectives
- Compare cloud service alternatives and a migration, operations, and data protection plan in an application related to “Improving Public Services Using Cloud and Artificial Intelligence Technologies”.
- Design an AI use case with verification criteria and human review.
- Analyze information system requirements and design acceptance, integration, and operational criteria.
- Analyze a public service and connect its improvement to beneficiary needs and accountability.
- Connect workforce and job requirements to objectives and required capabilities.
Learning areas
1. Cloud Computing, Integration, and Service Continuity
- Inventory applications, data, interdependencies, and availability needs, identifying what is suitable for migration and what requires prior remediation.
- Compare service and hosting models and the division of security and operational responsibilities, identifying contractual obligations and applicable data location requirements.
- Estimate costs according to usage, storage, transfer, and support, and test the estimate's sensitivity to changing load and data growth.
- Design an access, backup, monitoring, and integration plan, and set thresholds and measurements to verify performance and continuity.
- Prepare a pilot migration with acceptance criteria, a rollback plan, and a recovery test, documenting responsibilities and service quality monitoring indicators. The application examines a case related to “Improving Public Services Using Cloud and Artificial Intelligence Technologies”.
2. Artificial Intelligence Applications and Controls
- Identify a task that AI can support, and separate inputs and human decisions from outputs produced by the tool.
- Prepare suitable test data and examples while respecting confidentiality, privacy, and permissions, and use de-identified training exercise data.
- Write clear instructions covering the task, context, constraints, and output format, and compare multiple formulations using a fixed set of examples.
- Check outputs for errors, bias, and unsupported information, and identify cases that require specialist review.
- Assess the feasibility of use in terms of quality, time, cost, and risk, and document controls for approval, monitoring, and stopping when failures occur.
3. Information Systems Analysis, Integration, and Service Management
- Analyze system users, processes, and the decisions it supports, translating needs into clear functional and nonfunctional requirements.
- Model data flows, entities, relationships, and interfaces, identifying each data item's source and the party responsible for its quality and updating.
- Compare build, buy, integration, and hosting alternatives according to constraints, security, total cost, and available support capabilities.
- Design test cases covering performance, permissions, usability, and integration, and connect each test to a testable acceptance criterion.
- Prepare a transition, operations, support, change management, and backup plan, defining indicators for service availability, fault resolution, and improvement review.
4. Public Service Development and Policy Outcomes
- Define the public value targeted by the service and its beneficiary groups, and review jurisdictional boundaries and responsibilities across agencies.
- Analyze the beneficiary journey, requirements, time, and access channels, and identify barriers affecting equity and ease of use.
- Collect the evidence needed to design service improvement options, distinguishing changes that require a procedural adjustment from those requiring a regulatory decision.
- Define indicators for outcomes, quality, efficiency, and beneficiary satisfaction, and mechanisms for receiving complaints and reviewing responses.
- Prepare a service initiative covering agency roles, resources, data controls, and a plan for piloting and monitoring achieved results.
5. Human Resource Planning and Job Analysis
- Analyze workforce demand according to workload, services, and anticipated changes, and document estimation assumptions.
- Inventory current skills, jobs, and vacancy risks, and compare the current position with target requirements.
- Prepare a job description covering purpose, responsibilities, relationships, competencies, and performance indicators without confusing the job with its incumbent.
- Select options for closing gaps through recruitment, development, redeployment, and work design, estimating resources and impact.
- Build indicators to monitor vacancies, workforce movements, retention, and skill coverage, and review the plan when organizational needs change.
Practical outputs
- A cloud service selection matrix, migration plan, and recovery test.
- A use case brief and a test template for the quality of AI outputs.
- A requirements document, data flow map, and testing and acceptance plan.
- A public service profile, stakeholder map, and improvement plan.
- A workforce plan, job description, and capability gap map.
Who should attend
- Practitioners, specialists and supervisors whose work relates to the programme subject.
- Managers and teams working in public service, according to their practical responsibilities.
- Professionals responsible for applying the outputs of “Improving Public Services Using Cloud and Artificial Intelligence Technologies” within their organizations.
Prerequisites
- Working familiarity with the programme field and the ability to discuss a professional case or challenge.
- Confirm the suitability of your experience and any specialist prerequisites with the Union before participation.
Conclusion
The programme “Improving Public Services Using Cloud and Artificial Intelligence Technologies” brings together concepts, case review and a practical application. Participants prepare steps that can be adapted to their responsibilities and organizational resources, with an indicator to follow application and review results after returning to work.
Participation arrangements and any special requests are specified in the confirmation issued by the Union.