Cloud Computing Essentials
Module Description
This module provides a foundational exploration of cloud computing technologies and their role in modern IT infrastructure and business operations. Students will develop a comprehensive understanding of core cloud concepts, while examining how cloud solutions drive innovation, scalability, and digital transformation across industries.
The module covers essential topics including Infrastructure-as-a-Service (IaaS), Platform-as-a-Service (PaaS), Software-as-a-Service (SaaS), hybrid and multi-cloud environments, virtualisation, cloud security, and cost management strategies.
Through case studies and industry examples, students will analyse the technical, operational, and strategic implications of cloud adoption. Additional focus is placed on emerging trends such as serverless computing, edge computing, and AI-driven cloud automation, as well as their impact on business agility, disaster recovery, and global collaboration.
By the end of the module, students will be equipped to critically assess cloud technologies and leverage cloud platforms to optimise resource allocation, reduce operational costs, and support sustainable business growth
Entry Requirements
Candidates who apply for this course will possess:
- A qualification at MQF Level 4 (one ‘A’ Level or equivalent in any subject / a related (professional) qualification) and a pass in English Language* and Mathematics at MQF Level 3 (‘O’ Level or equivalent).
In the case of students who do not possess all the formal required academic qualifications, then the Recognition of Prior Learning (RPL) process could be applied such that if evidence of equivalent learning and/or related experience is found then the applicant could still be accepted on the course. Evidence may include:
- A detailed CV clearly outlining relevant professional experience in IT or related fields.
- Employer reference letters outlining job role, duration, and key competencies.
- Related documentation (e.g. work portfolio) such as project reports, system designs, code samples, certifications from training, or any materials demonstrating applied IT knowledge. In the case of a portfolio, the Admissions Board will evaluate how the applicant’s experience matches the skills and knowledge expected at MQF Level 4 in IT or related fields. There needs to be a thorough evidence of learning that the applicant has acquired knowledge, skills, and competences that are equivalent to formal learning outcomes.
Such RPL process may subject applicants to an interview held with a board of experts within the field, chosen specifically by IDEA College, so as to verify their practical knowledge, experiences, and prior learning.
*Students whose first language is not English and do not possess an ‘O’ level pass in English Language will be required to demonstrate English language capability at IELTS level 6.0 or equivalent.
Target Audience
This qualification is designed for learners who wish to gain a solid foundation in modern Information Technology (IT) practices, with a particular focus on workplace-relevant technologies and digital tools. The course targets the following types of learners:
- Post-secondary school leavers who wish to pursue a career in information technology or related fields, and are looking for a practical, industry-relevant qualification.
- Working professionals from non-IT backgrounds seeking to upskill or reskill in order to transition into IT-related roles within their organisation or the broader job market.
- Adult learners returning to education who are interested in gaining contemporary digital competencies to enhance their employability.
- Entry-level IT staff or administrative personnel who wish to formalise and expand their knowledge of core IT concepts, especially in the areas of cybersecurity, cloud computing, data management, and programming.
- Individuals aiming to pursue further studies in computing or information systems, for which this course provides an ideal stepping stone, particularly through the Certificate.
Career Paths
This programme equips learners with the skills and knowledge pertinent to the following occupations:
- IT Support Technician / Helpdesk Support
- Junior Systems Administrator
- Cybersecurity Assistant
- Cloud Support Associate
- Data Analyst (Entry-Level)
- Junior Software Developer
- Digital Transformation Assistant
How you’ll be assessed
The course comprises:
- Evening classes for part-time courses.
- Classes held throughout the day for full-time courses.
- Guided learning, presentations, comprising synchronous online discussions, tutorials and/or videos.
- Self-study hours comprising research, reading and assignment work.
Assessment
Assessment is carried out via two mandatory components:
- Assessment 1
- Assessment 2
The programme includes different forms of assessment which allow for and promote students’ critical engagement. The formative and summative assessment tasks may include an in-class assignment and/or a home-based written assignment using diverse assessment tools which may take the form of online and in-class discussions, examinations, case studies, reports, proposals, essays, and presentations, etc., as applicable to the diverse modules.
Learning Outcomes
Competences:
- Evaluate the suitability of cloud service models for organisational needs.
- Negotiate and manage service-level agreements (SLAs) with cloud providers.
- Monitor cloud adoption strategies to align with business roadmaps.
- Assess risks and responsibilities in cloud governance.
- Monitor developments in cloud computing technologies and trends.
Skills:
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Design a decision-making framework to align cloud service models (IaaS/PaaS/SaaS) with organisational scalability and budget constraints.
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Show how hybrid cloud architectures address gaps in compliance, performance, or cost efficiency for specific industries.
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Construct a comparative analysis matrix to advise stakeholders on optimal service models for legacy system migration.
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Compose mock SLA clauses to address uptime, disaster recovery, and data sovereignty requirements.
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Plan a cloud-business alignment roadmap with milestones tied to KPIs like cost optimisation and workload performance.
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Construct a cloud governance audit process to identify misalignments between adoption phases and strategic goals.
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Apply risk assessment frameworks (e.g., FAIR) to prioritise threats like vendor lock-in or compliance violations.
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Design a shared responsibility matrix to clarify roles in cloud governance for IaaS/PaaS/SaaS deployments.
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Analyse emerging trends (e.g., edge computing) to forecast their impact on organisational agility and competitive advantage.
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Construct a technology adoption roadmap integrating innovations like serverless architectures into existing IT strategies.
Module-Specific Learner Skills:
At the end of the module/unit, the learner will be able to:
- Construct a mitigation plan for ethical risks in AI-driven cloud automation.
- Apply SLA negotiation frameworks to balance provider guarantees with organisational risk tolerance.
- Critique cloud adoption roadmaps to identify gaps in alignment with business objectives, sustainability goals, or regulatory compliance.
Module-Specific Digital Skills and Competences:
- Prepare executive briefings on disruptive trends and their strategic implications.
- Challenge assumptions in cloud provider claims by applying evidence-based scrutiny to SLAs and performance metrics.
- Navigate through the online learning platform to find assignments, discussion boards, literature, tutorials, etc.