Cloud Computing and Digital Transformation for Managers

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Introduction

Course overview

Why Attend

Cloud computing has become a core enabler of digital transformation, allowing organizations to modernize technology environments, scale services, improve operational flexibility, and introduce digital products more rapidly. Managers involved in transformation initiatives need to understand cloud capabilities and business implications without necessarily becoming technical cloud engineers.

This Cloud Computing and Digital Transformation for Managers course provides a business-focused understanding of cloud strategy, service and deployment models, migration decisions, cloud economics, security, governance, data, artificial intelligence, and organizational change. Participants examine major cloud ecosystems such as Microsoft Azure, Amazon Web Services (AWS), and Google Cloud and learn how cloud investments can be connected to business objectives, operating models, customer experience, innovation, and measurable transformation outcomes.

Professional Problems This Course Is Designed to Solve

Unclear cloud business value: Connecting cloud investment decisions with cost, agility, resilience, innovation, customer experience, and business growth.
Confusion around cloud options: Understanding public, private, hybrid, and multi-cloud approaches together with SaaS, PaaS, and IaaS service models.
Poorly planned cloud migration: Determining which applications and workloads should be migrated, modernized, replaced, retained, or retired.
Unexpected cloud expenditure: Improving visibility of cloud consumption, financial accountability, budgeting, and cost optimization.
Cloud security and governance concerns: Understanding shared responsibility, identity and access, data protection, resilience, governance, and third-party risk.
Disconnected digital transformation initiatives: Aligning cloud, data, AI, automation, applications, and business process transformation under a coherent strategy.
Weak organizational adoption: Managing skills, operating model, leadership, process, and cultural changes required to achieve sustainable transformation.

Course Methodology

The programme combines management briefings, cloud demonstrations, business case studies, transformation scenarios, group discussions, decision workshops, and strategic planning exercises. Participants evaluate cloud and digital transformation decisions from business, financial, operational, governance, and risk perspectives and develop a practical transformation roadmap for their organization.

Course Objectives

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

Understand cloud computing concepts and their relevance to business strategy
Differentiate between cloud service and deployment models
Evaluate cloud platforms and sourcing options from a management perspective
Develop business cases for cloud migration and digital modernization
Assess cloud costs, benefits, risks, and operational implications
Understand cloud security, governance, resilience, and shared responsibility
Connect cloud adoption with data, AI, automation, and digital innovation
Prioritize applications and business processes for modernization
Manage organizational change associated with cloud-enabled transformation
Develop a practical cloud and digital transformation roadmap

Target Audience

This course is suitable for:

Executives and senior managers
Digital transformation leaders
IT managers and technology decision-makers
Business unit managers
Strategy and innovation professionals
Finance and procurement managers involved in technology investments
Project and programme managers
Professionals responsible for business modernization initiatives

Target Competencies

Participants will develop competencies in:

Cloud computing strategy
Digital transformation
Cloud business case development
Technology investment evaluation
Cloud economics and cost management
Digital operating models
Cloud governance
Technology risk management
Business process modernization
Transformation roadmap development

What you will achieve

Learning objectives

Understand cloud computing concepts and their relevance to business strategy
Differentiate between cloud service and deployment models
Evaluate cloud platforms and sourcing options from a management perspective
Develop business cases for cloud migration and digital modernization
Assess cloud costs, benefits, risks, and operational implications
Understand cloud security, governance, resilience, and shared responsibility
Connect cloud adoption with data, AI, automation, and digital innovation
Prioritize applications and business processes for modernization

Who should attend

Target audience

This course is suitable for:
Executives and senior managers
Digital transformation leaders
IT managers and technology decision-makers
Business unit managers
Strategy and innovation professionals
Finance and procurement managers involved in technology investments
Project and programme managers

Methodology

Learning approach

The programme combines management briefings, cloud demonstrations, business case studies, transformation scenarios, group discussions, decision workshops, and strategic planning exercises. Participants evaluate cloud and digital transformation decisions from business, financial, operational, governance, and risk perspectives and develop a practical transformation roadmap for their organization.

Course content

Five focused days of learning and application

Day 1

Cloud Computing Strategy and Business Value

Understanding cloud computing and its role in enterprise digital transformation
Comparing Infrastructure as a Service (IaaS), Platform as a Service (PaaS), and Software as a Service (SaaS)
Evaluating public, private, hybrid, and multi-cloud deployment approaches
Understanding the business capabilities of Microsoft Azure, Amazon Web Services (AWS), and Google Cloud
Connecting cloud adoption with agility, scalability, resilience, innovation, and customer experience
Practical exercise: Identifying business capabilities and processes that could benefit from cloud-enabled transformation

Day 2

Cloud Migration, Application Modernization and Business Cases

Assessing existing applications, infrastructure, data, dependencies, and business criticality before migration
Evaluating migration approaches including rehosting, replatforming, refactoring, repurchasing, retaining, and retiring workloads
Prioritizing cloud initiatives according to business value, complexity, risk, and strategic importance
Developing cloud business cases covering investment requirements, operating costs, benefits, risks, and expected outcomes
Understanding modernization approaches involving cloud-native applications, APIs, containers, serverless services, and managed platforms from a management perspective
Case study: Evaluating an application portfolio and developing a prioritized cloud migration and modernization plan

Day 3

Cloud Economics, Governance, Security and Operational Risk

Comparing capital expenditure and operating expenditure considerations in cloud investment decisions
Understanding cloud consumption, pricing models, budgeting, cost allocation, and financial accountability
Applying FinOps principles to improve collaboration between technology, finance, and business teams
Understanding cloud security responsibilities, identity and access management, data protection, and the shared responsibility model
Managing resilience, business continuity, vendor dependency, service availability, and cloud-related operational risks
Workshop: Reviewing a cloud programme from financial, security, governance, and business risk perspectives

Day 4

Cloud-Enabled Data, AI and Digital Business Transformation

Connecting cloud platforms with enterprise data, analytics, business intelligence, and digital decision-making
Understanding how cloud infrastructure supports artificial intelligence, generative AI, machine learning, and automation initiatives
Modernizing business processes through cloud applications, integration, APIs, and workflow automation
Using cloud capabilities to support digital products, customer platforms, remote collaboration, and scalable services
Aligning technology modernization with business architecture, customer journeys, and organizational priorities
Practical scenario: Designing a cloud-enabled transformation initiative combining data, AI, automation, and process improvement

Day 5

Leading Cloud Adoption and Building the Digital Transformation Roadmap

Establishing cloud governance structures, decision rights, accountability, policies, and management oversight
Identifying organizational capabilities, skills, roles, and operating model changes required for cloud adoption
Managing stakeholder expectations, resistance, communication, and adoption during digital transformation
Defining cloud and transformation KPIs covering cost, speed, resilience, adoption, customer value, and operational performance
Prioritizing initiatives and developing phased implementation plans based on business value, dependencies, resources, and risk
Capstone exercise: Developing and presenting a Cloud Computing and Digital Transformation Roadmap with strategic priorities, investment considerations, governance controls, and measurable business outcomes

FAQ

Frequently asked questions

What does Cloud Computing and Digital Transformation for Managers (DIT-017) cover?

This course covers Digital Innovation and Transformation through a structured five-day outline focused on practical application, discussion, and implementation planning.

When is the next available session?

The next scheduled session starts on Schedule on request, with additional classroom dates and mirrored Online / Live options listed in the course schedules section.

Who should attend this course?

This course is suitable for:, Executives and senior managers, Digital transformation leaders

How can I register for a session?

Use any Register button next to the available course dates to open the participant registration page and submit your booking request for the selected session.

Is this course available online as well as classroom-based?

Yes. The course detail page includes both classroom sessions and Online / Live sessions, with online options aligned to the same course dates for easier planning.

Where are classroom sessions delivered?

Classroom venues are confirmed in the schedule panel for each published session.

How long is the training programme?

The programme runs for five days, with up to five training hours per day, from 9:00 AM to 2:00 PM. Each programme includes a total of 25 accredited training hours.

Still Have Questions?

Contact the academy team for course details, delivery options, and delegate guidance.

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