Skip to programme
AI-generated Certificate in AI-Driven Cloud Computing and Security campaign scene

AI-Driven Cloud Computing and Security

Duration
6 months
Delivery
Blended
Total learning
496 hours

Career Outcomes

Career Opportunities & Progression

  • Cloud Support Associate
  • Junior Azure Administrator
  • Microsoft 365 Support Assistant
  • Endpoint Support Technician
  • Intune Administration Assistant
  • Cloud Operations Assistant

Before you apply

Your programme at a glance

Apply / enquire
Qualification
Certificate (non-NVQ)
Awarding institution
NextGen Campus · Academic Transcript
Duration
Six months (26 weeks; 24 teaching weeks)
Delivery
Blended learning – instructor-led lectures, NextGen LMS laboratories on Microsoft Official Courseware (MOC) environments and a physical capstone
Class schedule
Saturday 5.30 PM – 10.30 PM (4 contact hours and a 1-hour break)
Lecture / guided learning
96 hours – instructor-led
LMS laboratory hours
300 hours – Azure, identity, security operations and Azure AI labs on MOC lab environments via the NextGen LMS
Student Project Book
60 hours – including the Management Module
Modules
6 taught modules
Entry requirements
G.C.E. O/L with Mathematics and English passes, plus basic computer literacy. Networking knowledge is recommended; an interview confirms readiness.
Next intake
Confirm available batches with admissions

Class schedules follow the syllabus; confirm the batch timetable with admissions.

Complete Programme Map

Course Content Architecture

6 modules across 3 learning phases. Select a module to read its full curriculum.

6Taught modules
3Learning phases
37Syllabus topics
10Career directions
Six months (26 weeks; 24 teaching weeks)Programme duration
NextGen CampusAwarding institution
02 · Learning domains
03 · Hands-on practice
Create and organise resources in the portal and CLIDeploy a VM, a web app and a containerExplore Entra ID, MFA and Conditional AccessDeploy a model and test prompts in FoundryConfigure a tenant with custom domain and workloadsEnrol and Autopilot-deploy devices

Guided laboratories, practical activities and a Student Project Book build evidence of your learning.

04 · Project, portfolio & progression
Professional portfolioDocumented laboratories, project evidence and the Management Module
Career directionsCloud Support Associate · Junior Azure Administrator · Microsoft 365 Support Assistant · Endpoint Support Technician · Intune Administration Assistant
Further opportunitiesCloud Operations Assistant · Identity and Access Support Assistant · Cloud Security Support Assistant · Azure Infrastructure Support Technician · Microsoft 365 AI Services Support Assistant
DeliveryBlended learning – instructor-led lectures, NextGen LMS laboratories on Microsoft Official Courseware (MOC) environments and a physical capstone
AssessmentContinuous assessment, practical work, final project and Student Project Book
CompletionNextGen Campus qualification and Academic Transcript on successful completion

6 modules · Full syllabus

Complete Curriculum

Explore every phase of the programme, then expand the modules below for the complete syllabus, outcomes and practical work.

Phase 1 — Azure Foundations & Administration

M01Cloud Fundamentals with Microsoft Azure +Ai12 lecture h · 36 lab h

Introduces cloud computing and Microsoft Azure — cloud concepts, Azure architecture and services, and Azure management and governance — preparing students for AZ-900.

Syllabus Content

  • Cloud concepts and benefits
  • IaaS, PaaS and SaaS; deployment models
  • Azure architecture and resource hierarchy
  • Compute, networking and storage services
  • Identity, access and security basics
  • Cost management, Azure Policy, locks and tags

Learning Outcomes

  • Explain cloud computing, shared responsibility and service models
  • Describe Azure architecture: regions, zones, subscriptions and resource groups
  • Describe Azure compute, networking, storage and identity services
  • Describe cost management, governance and monitoring tools

LMS Laboratories

  • Create and organise resources in the portal and CLI
  • Estimate cost with the Pricing Calculator
  • Apply tags, policies and resource locks

AI Integration

  • Overview of Copilot in Azure
  • AI-assisted AZ-900 revision and concept mapping

Syllabus alignment: AZ-900 - Azure Fundamentals

M02Azure Administration +Ai24 lecture h · 76 lab h

Builds the skills to administer Azure — identities and governance, storage, compute, virtual networking, and monitoring and maintenance — preparing students for AZ-104.

Syllabus Content

  • Identities, RBAC and governance
  • Storage accounts, redundancy and access
  • VMs, availability and scale sets
  • App Service and containers
  • ARM templates and Bicep
  • Virtual networking and connectivity
  • Azure Monitor, Backup and Site Recovery

Learning Outcomes

  • Manage Entra users, groups, RBAC, Azure Policy and subscriptions
  • Configure storage accounts, Blob and Files with secure access
  • Deploy VMs, App Service and containers; use ARM and Bicep
  • Build virtual networks, NSGs, peering, DNS and load balancing
  • Monitor, back up and restore workloads

LMS Laboratories

  • Deploy a VM, a web app and a container
  • Build a secured multi-tier virtual network
  • Configure alerts, backup and restore

AI Integration

  • Copilot in Azure for administration
  • AI-assisted Azure CLI, PowerShell and Bicep

Syllabus alignment: AZ-104 - Azure Administrator Associate

Phase 2 — Security & AI Foundations

M03Security, Compliance & Identity Fundamentals +Ai16 lecture h · 44 lab h

Builds the security, compliance and identity foundation that the AI, Microsoft 365 and endpoint modules apply — Zero Trust, Microsoft Entra, Microsoft Defender and Microsoft Purview — preparing students for SC-900.

Syllabus Content

  • Shared responsibility, defence in depth and Zero Trust
  • Microsoft Entra ID functions and identity types
  • Authentication, MFA, Conditional Access and governance
  • Microsoft Defender XDR, Defender for Cloud and Sentinel
  • Microsoft Purview: information protection, DLP, compliance

Learning Outcomes

  • Explain security, compliance and identity concepts including Zero Trust
  • Describe Microsoft Entra authentication, access management and identity protection
  • Describe Microsoft security solutions: Defender XDR, Defender for Cloud and Sentinel
  • Describe Microsoft Purview compliance and data- protection capabilities

LMS Laboratories

  • Explore Entra ID, MFA and Conditional Access
  • Tour Defender and Sentinel portals
  • Create a sensitivity label and DLP policy

AI Integration

  • Microsoft Security Copilot overview
  • AI-assisted SC-900 revision

Syllabus alignment: SC-900 - Security, Compliance & Identity Fundamentals

M04AI Fundamentals with Microsoft Foundry12 lecture h · 40 lab h

Builds AI foundations and hands-on skills with Microsoft Foundry — generative and agentic AI, text, speech, vision and information extraction — within responsible-AI principles, preparing students for AI-901.

Syllabus Content

  • AI concepts, workloads and responsible AI
  • Generative AI, prompts and model parameters
  • Microsoft Foundry portal and SDK
  • Agents and retrieval-augmented generation
  • Text, speech and vision workloads
  • Content Understanding and information extraction

Learning Outcomes

  • Explain AI workloads, model components and responsible- AI principles
  • Deploy and configure generative AI models in Microsoft Foundry
  • Build a simple agent and a grounded (RAG) chat solution
  • Use text analysis, speech, vision and Content Understanding

LMS Laboratories

  • Deploy a model and test prompts in Foundry
  • Build a grounded agent
  • Extract data from documents

AI Integration

  • The dedicated Azure AI module — builds the AI component used in the capstone

Syllabus alignment: AI-901 - Azure AI Fundamentals

Phase 3 — Microsoft 365, AI Services & Endpoints

M05Microsoft 365 & AI Services Administration16 lecture h · 52 lab h

Develops the skills to configure, govern and secure Microsoft 365 tenants and workloads and to manage and secure AI services — Microsoft 365 Copilot and agents — preparing students for AB-650.

Syllabus Content

  • Tenant, domains, users and licensing
  • Exchange Online, SharePoint and Teams administration
  • Identity and access governance
  • Purview information protection, DLP and retention
  • Microsoft 365 Copilot enablement and oversharing controls
  • Agents: Entra Agent ID, Agent 365 and the Copilot Control System
  • Microsoft Graph PowerShell

Learning Outcomes

  • Configure tenants, domains, licences and workloads (Exchange, SharePoint, Teams)
  • Govern and secure the tenant with Entra, Defender XDR and Purview
  • Enable and govern Microsoft 365 Copilot and data readiness
  • Manage and secure agents with Entra Agent ID and Agent 365; monitor AI usage and cost

LMS Laboratories

  • Configure a tenant with custom domain and workloads
  • Apply Purview labels and DLP before Copilot rollout
  • Govern and monitor an agent

AI Integration

  • The dedicated Microsoft 365 AI services module

Syllabus alignment: AB-650 - M365 & AI Services Administrator

M06Endpoint Administration with Microsoft Intune +Ai16 lecture h · 52 lab h

Develops endpoint administration skills — preparing infrastructure for devices, deploying Windows with Autopilot, managing devices, applications and updates, and protecting endpoints — preparing students for MD-102.

Syllabus Content

  • Hybrid identity and device join types
  • Enrolment and Windows Autopilot
  • Compliance and configuration profiles
  • Windows Update for Business
  • App deployment and app protection
  • Endpoint security and Defender for Endpoint

Learning Outcomes

  • Prepare identity and enrolment for devices
  • Deploy Windows with Autopilot
  • Manage compliance, configuration, updates and applications with Intune
  • Protect devices with Defender for Endpoint, BitLocker and security baselines

LMS Laboratories

  • Enrol and Autopilot-deploy devices
  • Build compliance and configuration policies
  • Deploy and protect apps

AI Integration

  • AI-assisted Intune troubleshooting
  • AI-generated device-management documentation

Syllabus alignment: MD-102 - Endpoint Administrator Associate

Industry certification alignment is syllabus guidance. External examinations are separate; course completion does not award vendor certification.

Learning outcomes

Skills You Will Develop

  • Explain cloud concepts and describe Azure architecture, services, cost and governance (AZ-900).
  • Administer Azure identities, governance, storage, compute, networking, monitoring and backup (AZ-104).
  • Explain security, compliance and identity concepts and Microsoft's security and compliance solutions (SC-900).
  • Build generative AI, agent, text, speech, vision and extraction solutions in Microsoft Foundry within responsible-AI principles (AI-901).
  • Configure, govern and secure Microsoft 365 tenants and workloads, and manage Microsoft 365 Copilot and agents (AB-650).
  • Deploy, manage and protect Windows endpoints and applications with Intune and Autopilot (MD-102).
  • Apply security controls across Azure, endpoints and Microsoft 365 — identity, Conditional Access, device compliance and Purview data protection.
  • Plan, document and defend a secure Microsoft cloud solution professionally.

Career Outcomes

Career Opportunities

Cloud Support AssociateJunior Azure AdministratorMicrosoft 365 Support AssistantEndpoint Support TechnicianIntune Administration AssistantCloud Operations AssistantIdentity and Access Support AssistantCloud Security Support AssistantAzure Infrastructure Support TechnicianMicrosoft 365 AI Services Support Assistant

Potential roles to work towards, depending on your practical portfolio, experience and employer requirements. Some roles require further training or certification.

Tools & Platforms

Technologies used

  • Microsoft Azure
  • Microsoft 365
  • Microsoft Entra ID
  • Intune and Autopilot
  • Microsoft Foundry
  • Microsoft Purview

Labs & practicals

How you will learn

  • Live online teaching with scheduled on-campus practical sessions
  • LMS module labs with trainer feedback
  • A Student Project Book documenting your learning
  • A final project, presentation and practical assessment

Admission requirements

Before you start

G.C.E. O/L with Mathematics and English passes, plus basic computer literacy. Networking knowledge is recommended; an interview confirms readiness.

You will need a computer and reliable internet for online classes and LMS activities.

NextGen Campus support

Student support

  • Academic guidance from your course coordinator
  • Trainer feedback on LMS laboratory work
  • Project planning and documentation support
  • LMS help for login and technical questions

Put your learning into practice

Projects & assessment

Plan, build, document and defend a secure Microsoft cloud solution through a capstone project and panel presentation.

Continuous assessment
40%
Practical / final project
40%
Student Project Book
20%

Complete the required practical work and project submissions. The handbook sets out attendance, pass requirements, grading and re-sit arrangements.

Capstone Project — 40 Hours (Physical)

Secure, AI-Enabled Microsoft Cloud Enterprise

The capstone brings the full course together in a single physical, end-to-end build delivered over five poya days (9.00 AM – 5.00 PM) at the NextGen Campus Head Office in Nugegoda. Each day is scheduled after the modules it builds on. Students design, deploy, secure and defend a Microsoft cloud environment — Azure, endpoints, Microsoft 365 with Copilot and agents, and an Azure AI component — for a realistic organisation such as a retail company, hospital or bank.

Capstone Deliverables

  • Architecture design for Azure, endpoints and Microsoft 365
  • Deployed Azure, Intune and Microsoft 365 configuration
  • Copilot readiness plan and governed agent
  • Azure AI component with responsible-AI assessment
  • Security review evidence: secure score, Conditional Access and Purview policies
  • Panel presentation and technical defence

Student Project Book & Management Module

The Student Project Book is a guided professional record developed throughout the course. It documents the student's laboratory work, design decisions and project outcomes, and contains the Management Module, which builds the professional and management skills expected of a cloud engineer.

  • MU1 Cloud Service Management & Documentation Incident, change and request management in the cloud; technical documentation
  • MU2 Service-Level Agreements & Agreement Scopes Azure SLAs, composite SLAs, agreement scopes and escalation
  • MU3 Cloud Cost Management & Optimisation Monitoring, controlling and optimising Azure spend
  • MU4 Project Management Fundamentals Project lifecycles, planning, risk, Agile and Waterfall
  • MU5 Security & AI Governance and Reporting Security policies, risk registers, responsible-AI policy and professional reporting
  • MU6 Interview Skills and the IT Job Market CV, LinkedIn and portfolio; technical interviews; local and overseas job markets

Payment Options

Choose how you pay

Total course feeLKR 90,000Course tuition
Speak to admissions

Installment arrangements

Confirm whether an installment plan is available for your intake, including the initial payment, installment amounts and due dates.

Discuss payment options
Registration feeLKR 3,000 (one-time)
  • Lecturer-led learning and guided practical work
  • LMS laboratories and Student Project Book
  • Programme project and assessment

Course tuition and the one-time registration fee are listed separately. Confirm payment dates and installment availability with admissions. External professional certification examination fees are separate unless NextGen Campus specifically states otherwise.

Need Payment Guidance?

Having trouble choosing the right payment option?

Please talk to our Education Consultant for payment guidance, installment availability and registration support.

Talk to Our Education Advisor

Your next step

Request intake, fees and registration guidance.