Cloud Computing for Healthcare IT Teams Training Course

5 days Cloud Computing Certificate on completion
Course codeSD-CC-020
Duration5 days
LevelIntermediate
CategoryCloud Computing
DeliveryClassroom or live online
LanguageEnglish
CertificateCertificate of completion

Course overview

Healthcare IT teams are under pressure to modernise clinical, administrative and data platforms without exposing protected health information (PHI), disrupting care delivery, or creating unmanaged cloud spend. Decisions about cloud hosting, identity access, backup, interoperability and supplier contracts must account for HIPAA safeguards, business associate agreements (BAAs), audit evidence, retention requirements and clinical downtime tolerance. This course helps teams move beyond generic cloud concepts and make defensible architecture and governance decisions for healthcare workloads.

Participants examine how to assess electronic health record integrations, imaging repositories, patient portals, analytics platforms and remote-care services for cloud suitability. They learn to classify healthcare data, map PHI flows, design landing-zone controls, apply least-privilege access, select encryption and key-management approaches, configure audit logging, and plan resilient backup and disaster-recovery patterns. The course also covers HL7 FHIR integration considerations, shared-responsibility models, cloud financial management, vendor due diligence and evidence required for compliance reviews.

Instruction combines targeted technical briefings with healthcare scenarios, configuration workshops and architecture review exercises. Participants work through a realistic migration case involving a patient-facing application and a FHIR-enabled data service, using AWS IAM, Microsoft Azure Policy and Terraform examples to test controls and document decisions. They leave with a completed Healthcare Cloud Adoption Blueprint: a practical pack containing a workload assessment, PHI data-flow diagram, control matrix, target architecture, recovery objectives, migration-wave plan and 90-day implementation roadmap.

The course is designed for intermediate healthcare IT professionals who contribute to cloud projects, security reviews, application modernisation or operational governance. It is equally useful to managers who need staff able to translate clinical, regulatory and technical requirements into cloud designs that can be approved, implemented and audited.

Course objectives

By the end of this course, participants will be able to:

  • Classify healthcare workloads and PHI data flows using a cloud suitability assessment matrix
  • Design a healthcare cloud landing zone with account, subscription, network and policy guardrails
  • Apply least-privilege access controls using role-based access control, AWS IAM policies and privileged-access workflows
  • Produce a shared-responsibility control matrix covering HIPAA administrative, physical and technical safeguards
  • Configure audit-log, encryption and key-management requirements for PHI-bearing cloud services
  • Evaluate HL7 FHIR integration patterns for APIs, data exchange, consent and access control
  • Calculate recovery time and recovery point objectives for clinical and patient-facing workloads
  • Create a Healthcare Cloud Adoption Blueprint with migration waves, control owners and a 90-day action plan

Benefits of attending

For you

  • Gain a repeatable method for judging whether a healthcare workload is ready for cloud migration
  • Build credibility in architecture reviews by linking technical controls to PHI and HIPAA obligations
  • Learn to document cloud decisions in formats usable by security, compliance, clinical and finance stakeholders
  • Develop practical confidence with cloud identity, policy, logging and infrastructure-as-code control patterns
  • Leave with a portfolio-ready Healthcare Cloud Adoption Blueprint that demonstrates healthcare cloud planning capability

For your organisation

  • Reduce the risk of PHI exposure through clearer data classification, access-control and audit-log requirements
  • Improve cloud investment decisions by identifying unsuitable workloads and sequencing viable migration waves
  • Create more consistent evidence for security assessments, internal audits and supplier assurance reviews
  • Increase resilience of patient-facing and clinical-support systems through defined recovery objectives and backup patterns
  • Establish a shared vocabulary across IT, security, compliance and application teams for cloud governance decisions

Target competencies

PHI data classificationCloud landing-zone designIdentity access governanceFHIR integration planningRecovery objective designCloud control documentation

Who should attend

  • Healthcare IT Managers — who must approve cloud designs, operating models and migration priorities
  • Healthcare Cloud Architects — who design governed platforms for clinical and administrative workloads
  • Information Security Analysts — who assess PHI controls, identity models and audit evidence
  • Infrastructure Engineers — who operate networks, backups, monitoring and resilient cloud services
  • Health IT Application Managers — who plan migration or integration of EHR-adjacent applications
  • Data and Integration Engineers — who build secure FHIR APIs, data pipelines and analytics environments

Requirements and prerequisites

Participants should have practical experience supporting IT systems in a healthcare provider, payer, health-tech supplier or related regulated environment. They should understand basic networking concepts such as IP addressing, DNS, firewalls and VPNs; core identity concepts such as users, groups and roles; and the purpose of encryption, backups and system logs. Familiarity with either AWS or Microsoft Azure is helpful, including navigating a cloud console, but no advanced administration is assumed. Participants do not need to be programmers, certified cloud architects, compliance lawyers or HL7 specialists. Lab exercises use guided examples rather than production environments.

Training methodology

The programme is delivered through instructor-led technical sessions, guided cloud-control demonstrations and healthcare-specific case work. Participants analyse a fictional provider organisation with legacy applications, PHI-bearing data stores, remote-care services and a FHIR integration requirement. In small groups, they complete risk assessments, draw data flows, define IAM roles, review policy-as-code examples, set recovery targets and challenge architecture decisions in a mock design-review board. Each day adds material to an individual Healthcare Cloud Adoption Blueprint, culminating in a prioritised 90-day implementation plan.

Course outline

Day 1: Healthcare cloud foundations and workload assessment

  • Healthcare cloud service models and shared-responsibility boundaries
  • HIPAA-regulated data categories and PHI identification
  • Business associate agreements and supplier accountability
  • Clinical, administrative and research workload classification
  • Cloud suitability assessment scoring criteria
  • Healthcare data-flow mapping for applications and integrations
  • Cloud migration strategies for legacy healthcare systems

Workshop: Participants assess three healthcare workloads and produce a scored cloud-suitability matrix with recommended disposition decisions.

Day 2: Secure architecture, identity and policy guardrails

  • Healthcare cloud landing-zone architecture patterns
  • Network segmentation for PHI-bearing services
  • Role-based access control and least-privilege design
  • AWS IAM policy structure and permission boundaries
  • Microsoft Azure Policy initiatives and compliance states
  • Encryption at rest, in transit and key-management ownership
  • Privileged access management and break-glass procedures

Workshop: Participants design a landing-zone control model and produce an access-role matrix for a patient portal and clinical data service.

Day 3: Interoperability, data protection and auditability

  • HL7 FHIR resource, API and interoperability fundamentals
  • FHIR API authentication and authorisation patterns
  • Consent, minimum-necessary access and data-use controls
  • Cloud audit logging and immutable evidence retention
  • Security monitoring for anomalous PHI access
  • Data retention, deletion and legal-hold considerations
  • Terraform modules for repeatable policy and infrastructure controls

Workshop: Participants map a FHIR data exchange, identify PHI exposure points and produce a control-and-evidence register.

Day 4: Resilience, operations and cloud financial governance

  • Clinical service criticality and downtime impact analysis
  • Recovery time objective and recovery point objective design
  • Backup, replication and disaster-recovery architecture patterns
  • High availability versus disaster recovery trade-off analysis
  • Operational monitoring, alerting and incident escalation
  • Cloud cost allocation using tags, accounts and subscriptions
  • FinOps controls for healthcare environments and vendor services

Workshop: Participants create a resilience plan and cost-governance model for an imaging archive and patient scheduling platform.

Day 5: Migration governance and implementation planning

  • Healthcare cloud migration-wave planning
  • Technical, clinical and compliance stakeholder mapping
  • Cloud risk registers and treatment decision criteria
  • Architecture review board evidence requirements
  • Third-party cloud supplier due diligence questions
  • Operating model roles for platform, security and application teams
  • Ninety-day healthcare cloud implementation roadmap

Workshop: Participants complete and present their Healthcare Cloud Adoption Blueprint, including target architecture, control matrix, migration waves and 90-day roadmap.

Tools & standards covered

AWS Identity and Access Management (IAM), Microsoft Azure Policy, Terraform, HL7 FHIR

A typical training day

08:30 – 10:30First session
10:30 – 10:45Refreshment break
10:45 – 12:30Second session
12:30 – 13:30Lunch and networking
13:30 – 15:00Third session
15:00 – 15:15Refreshment break
15:15 – 16:30Workshop and daily review

Live online deliveries follow the same structure in the East Africa Time zone, with shorter screen blocks and longer breaks.

What the fee includes

  • Instruction by a practitioner facilitator
  • Full course workbook and materials
  • Exercise files, templates and case studies
  • Certificate of completion
  • Refreshments and lunch (classroom deliveries)
  • Post-course application plan
  • Facilitator follow-up on request
  • Group rates from five participants

How you can take this course

Classroom

Scheduled sessions in Nairobi, Mombasa, Kigali, Dar es Salaam, Dubai and Cape Town.

Live online

The same facilitator and materials, delivered live for distributed teams and individuals.

In-house

Delivered privately for your team, at your offices or a venue of your choice, tailored to your context. Request a proposal.

Certification

Participants who complete the full five days receive the Skillset Development Certificate of Completion, stating the course title, course code, dates and delivery format — suitable for professional-development records and employer reimbursement.

Frequently asked questions

You should understand basic IT operations, networking, identity and security concepts, and have some exposure to AWS or Microsoft Azure. You do not need cloud certification or advanced scripting experience because the technical examples are guided.

A laptop is recommended for reviewing diagrams, policy examples and workshop materials. Participants do not need access to an employer cloud tenant or production healthcare data; exercises use supplied scenarios and guided configuration examples.

It is primarily designed for healthcare IT, security, infrastructure, application and data professionals. Compliance and privacy professionals can benefit if they work closely with cloud projects and are comfortable discussing technical controls, architecture and evidence.

The course focuses on healthcare workload decisions rather than broad cloud platform coverage. It addresses PHI data flows, BAAs, HIPAA-aligned controls, FHIR integration, clinical downtime tolerance and evidence needed for healthcare governance.

The workload assessment, control matrix, recovery-objective templates and migration-wave method can be used directly in discovery and architecture-review meetings. Participants are encouraged to bring a non-sensitive description of a real workload to shape their final action plan.

You will leave with a completed Healthcare Cloud Adoption Blueprint containing a workload assessment, PHI flow diagram, target architecture, security control matrix, recovery targets and implementation roadmap. The pack is designed to be refined with your organisation's policies after the course.

Upcoming sessions

New dates are being scheduled. Ask us about the next session or an in-house delivery for your team.

Ask about dates

Group of 5+?

Request in-house delivery or group rates →

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