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Cloud Computing

BERKELEY SCHOOL OF BUSINESS, ARTS & SCIENCES

Cloud Computing is a beginner-friendly course that introduces learners to cloud technologies through Amazon Web Services (AWS). Moreover, it develops practical skills in cloud infrastructure, virtual servers, storage, databases, scalability, security, and service management.

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Cloud Computing

Overview

Cloud Computing

Learners explore Amazon Web Services and develop practical knowledge of launching and managing virtual servers through Amazon EC2. This includes understanding instance types, pricing models, Amazon Machine Images, and the complete instance lifecycle. The course also covers cloud storage through Amazon S3 and Amazon EBS, including storage classes, versioning, block storage, object storage, and static website hosting. Participants learn to work with managed databases using Amazon RDS for relational data and Amazon DynamoDB for NoSQL applications. They are also introduced to designing highly available, scalable, and reliable cloud architectures that can support modern websites, applications, and organizational workloads. 

Course FeatureDetails
Delivery ModeClassroom, Live Online, or Blended Learning
PrerequisitesNo formal prerequisites are required. Basic computer knowledge and familiarity with networking concepts are recommended.
Key TopicsCloud Fundamentals, Virtualization, Cloud Infrastructure, AWS, Microsoft Azure, Google Cloud Platform, Cloud Security, Networking, Storage, and Deployment Models
Who Should AttendStudents, IT Professionals, System Administrators, Network Engineers, Software Developers, DevOps Engineers, and Cloud Computing enthusiasts
Learning OutcomesUnderstand cloud computing concepts, deploy cloud services, manage cloud infrastructure, implement security best practices, and support cloud-based environments.
Career OpportunitiesCloud Support Associate, Junior Cloud Administrator, AWS Support Technician, Cloud Operations Associate, Junior Cloud Engineer, and Cloud Support Specialist
CertificateParticipants who successfully complete the course requirements will receive a Certificate in Cloud Computing from Berkeley School of Business & Arts Sciences.

Offered By

Berkeley School of Business, Arts & Sciences

Vision & Mission

Cloud Computing is a beginner-friendly course that introduces learners to modern cloud technologies using Amazon Web Services (AWS). The course develops practical knowledge of cloud infrastructure, virtual servers through Amazon EC2, object and block storage using Amazon S3 and EBS, managed databases through Amazon RDS and DynamoDB, and the design of scalable, reliable, and highly available cloud architectures. Its vision is to develop a future-ready workforce capable of applying cloud technologies to real-world digital solutions, while its mission is to provide accessible, practical training that prepares learners for further AWS study, professional certifications, freelancing, and entry-level opportunities in cloud administration, infrastructure management, technical support, and cloud operations.

What is the eligibility?

  • The Cloud Computing course is open to students, graduates, IT beginners, system administrators, developers, technical-support professionals, and individuals seeking to start or advance a cloud technology career.
  • No previous cloud computing or AWS experience is required to enrol in the course.
  • Basic computer literacy and a general understanding of IT systems, networking, and internet technologies are beneficial.
  • Additionally, participants should be prepared to complete practical cloud exercises.
  • Furthermore, learners must complete the final AWS deployment project as part of the course requirements.

 

Who can do?

Cloud Computing
anyone who is interested to learn about following concepts can pursue Cloud Computing:
Cloud Computing Fundamentals, AWS Global Infrastructure, Identity and Access Management, Amazon EC2, Amazon S3, Amazon VPC, AWS Database Services, Elastic Load Balancing, Auto Scaling, Serverless Computing, AWS Lambda, Amazon API Gateway, Cloud Monitoring and Logging, Cloud Security, Cloud Cost Optimisation.
individuals with the following designations:
Cloud Support Associate, Junior Cloud Engineer, Cloud Administrator, AWS Support Technician, Cloud Operations Associate, Systems Administrator, Network Administrator, Infrastructure Engineer, Junior DevOps Engineer, Cloud Security Associate, Technical Support Engineer, Junior Solutions Architect, Cloud Deployment Associate, Data Centre Support Technician.

Course structure

Module 1: Cloud Computing Fundamentals and AWS Introduction

This module introduces the fundamental concepts of cloud computing and Amazon Web Services (AWS). Learners explore how cloud technology delivers computing resources over the internet, examine common service and deployment models, and understand the main benefits of cloud adoption. The module also introduces the AWS global infrastructure, Management Console, regions, Availability Zones, and essential account management practices. DigiSkills Cloud Computing course

Included

Understanding Cloud Computing and Its Benefits

Included

Cloud Service Models: IaaS, PaaS and SaaS

Included

Public, Private and Hybrid Cloud Deployment Models

Included

Introduction to AWS Global Infrastructure and Management Console

Module 2: AWS Identity and Access Management

This module explains how to securely control access to AWS services and resources using Identity and Access Management (IAM). Learners examine the AWS Shared Responsibility Model and gain practical knowledge of IAM users, groups, roles, permissions, and policies. The module also covers secure authentication practices and the principle of least privilege.

Included

AWS Shared Responsibility Model

Included

Creating and Managing IAM Users and Groups

Included

IAM Roles, Permissions and Policies

Included

Multi-Factor Authentication and Least-Privilege Access

Module 3: Amazon EC2 and Cloud-Based Virtual Servers

This module develops practical skills in launching and managing virtual servers through Amazon Elastic Compute Cloud (EC2). Learners explore instance types, Amazon Machine Images, storage options, key pairs, and security groups. It also covers connecting to instances, monitoring server performance, and controlling costs through appropriate purchasing options.

Included

Introduction to Amazon EC2 and Instance Types

Included

Amazon Machine Images and Instance Configuration

Included

Key Pairs, Security Groups and Instance Connectivity

Included

EC2 Monitoring, Pricing and Cost Management

Module 4: Amazon S3 Cloud Storage and Data Management

This module introduces Amazon Simple Storage Service (S3) for secure, scalable, and reliable cloud-based data storage. Learners develop practical skills in creating buckets, uploading and organizing objects, configuring permissions, and selecting suitable storage classes. The module also covers versioning, lifecycle management, data protection, and static website hosting.

Included

Introduction to Amazon S3 Buckets and Objects

Included

S3 Permissions, Policies and Access Control

Included

Storage Classes, Versioning and Lifecycle Management

Included

Data Protection and Static Website Hosting with S3

Module 5: Amazon S3 Cloud Storage and Data Management

This module explains how to create and manage secure cloud networks using Amazon Virtual Private Cloud (VPC). Learners explore IP addressing, public and private subnets, route tables, internet gateways, and network security controls. Practical activities develop the ability to design a reliable network environment for AWS resources and applications.

Included

Introduction to Amazon VPC and IP Addressing

Included

Creating Public and Private Subnets

Included

Route Tables, Internet Gateways and Network Connectivity

Included

Security Groups and Network Access Control Lists

Module 6: AWS Database Services and Data Management

This module introduces managed database solutions available through AWS. Learners explore Amazon Relational Database Service (RDS) for structured data and Amazon DynamoDB for NoSQL workloads. The module covers database creation, configuration, connectivity, backups, security, monitoring, scalability, and selecting an appropriate database service for different application requirements.

Included

Introduction to Cloud Databases and Amazon RDS

Included

Creating, Configuring and Connecting to RDS Databases

Included

Amazon DynamoDB and NoSQL Data Management

Included

Database Security, Backup, Monitoring and Scalability

Module 7: Elastic Load Balancing and Auto Scaling

This module explains how AWS maintains application availability, reliability, and performance as user demand changes. Learners configure Elastic Load Balancing to distribute incoming traffic across multiple EC2 instances and use Auto Scaling to adjust computing capacity automatically. The module also introduces health checks, scaling policies, high-availability architecture, and fault-tolerant deployment.

Included

Introduction to Elastic Load Balancing

Included

Configuring Load Balancers and Health Checks

Included

Creating Auto Scaling Groups and Scaling Policies

Included

Designing Highly Available and Fault-Tolerant Applications

Module 8: Serverless Computing with AWS Lambda

This module introduces serverless computing and explains how applications can run without directly managing servers. Learners use AWS Lambda to create and execute event-driven functions, configure triggers, assign permissions, and review execution results. The module also introduces Amazon API Gateway and demonstrates how serverless services can support scalable, cost-effective applications.

Included

Understanding Serverless Computing

Included

Creating and Configuring AWS Lambda Functions

Included

Lambda Triggers, Permissions and Event-Driven Workflows

Included

Building Serverless Applications with Amazon API Gateway

Module 9: AWS Monitoring, Logging and Resource Management

This module explains how to monitor AWS resources, assess system performance, and maintain operational visibility. Learners use Amazon CloudWatch to examine metrics, logs, dashboards, and alarms. The module also introduces AWS CloudTrail for recording account activity, supporting security investigations, auditing changes, and troubleshooting operational issues.

Included

Monitoring AWS Resources with Amazon CloudWatch

Included

Working with Metrics, Logs and Dashboards

Included

Creating CloudWatch Alarms and Notifications

Included

Auditing Account Activity with AWS CloudTrail

Module 10: Cloud Deployment, Cost Optimisation and Final Project

This final module brings together the knowledge and practical skills developed throughout the course. Learners design and deploy a secure, scalable, and highly available AWS cloud solution using appropriate computing, storage, networking, database, security, and monitoring services. The module also covers AWS cost-management tools, architectural best practices, troubleshooting, documentation, and cloud career opportunities.

Included

Planning a Secure and Scalable AWS Architecture

Included

Deploying and Testing the Final Cloud Project

Included

AWS Billing, Budgets and Cost Optimization

Included

Project Documentation and Cloud Career Pathways

Learning Methodology

Berkeley offers expertly developed learning materials tailored to meet participants' needs, ensuring comprehensive coverage of the syllabus and optimal exam preparation.

‣ Tailored Material: Guides are designed to cover the entire syllabus, offering full preparation and deep understanding.

‣ In-Depth Content: Unlike superficial outlines, our materials provide fully developed theories and concepts, equipping participants with complete knowledge.

‣ Strategic Study: We help participants prioritize study time by indicating the weight of each topic, allowing efficient focus on crucial areas.

‣ Difficulty Levels: Topics are labeled as "Awareness" or "Proficiency," guiding participants to allocate time based on the required depth of knowledge.

‣ Comprehensive Coverage: Our materials include detailed theory and a glossary of technical terms to clarify complex concepts.

‣ Effective Learning Techniques: Visual aids and memorization techniques ensure long-lasting retention, helping candidates succeed.

Berkeley’s methodologies equip participants with the essential knowledge and tools for both exams and future success.

Cloud Computing
Lectures

Our lecture plan integrates structured learning with interactive teaching methods, promoting engagement and collaboration. This approach ensures a comprehensive understanding of concepts, fostering critical thinking and practical application in real-world scenarios.

Cloud Computing
Practice Session

Practice sessions offer hands-on experience through guided exercises, enhancing skills and reinforcing knowledge. This practical approach ensures mastery of concepts, promoting.

CAP-X
Mock Examination

Mock examinations simulate real test conditions, providing valuable practice and assessment. This helps identify strengths and weaknesses, ensuring thorough preparation and boosting confidence for actual exams.

Berkeley Middle East Performance Standards

Evaluates and ensure the quality of the training program and all its deliverables.  This is measured through the following indicators:
‣ Instructors' experience and style in presenting and explaining topics.
‣ Variety and balance of teaching methods (such as discussions, case studies, mock exams and videos) used in the course to ensure retention and to match the learning objectives.
‣ Level of interactivity.
‣ Feedback from program participants
‣ Full compliance with Institute standards and guidelines for preparation and study requirements and methodology.
‣ Progress reports from the training program provider.

What Are The Exam Information?

Cloud Computing

The Cloud Computing course uses practical exercises, guided AWS labs, knowledge checks, mock assessments and a final cloud deployment project to evaluate learning. It is a training course rather than an official AWS certification examination. Learners wishing to earn an AWS certification must register separately for the relevant examination through Amazon Web Services.

Exam Format & Duration

Assessment is conducted throughout the course through practical AWS activities, knowledge-based questions, configuration exercises and a final project. Learners must plan, deploy, test and document a secure, scalable and cost-conscious AWS cloud solution. Assessment duration varies according to the activity and course delivery schedule.

Exam Dates

Assessments are scheduled throughout the course, while the final project is completed near the end of the training period. Exact dates are communicated according to the selected intake and course timetable.

 

Exam Registration Deadline

There is no separate external examination-registration deadline for this course. Learners must enrol before the published course-intake deadline and submit all assessments and the final project according to the timetable provided after enrolment.

 

Passing Criteria

Learners must participate in the required training activities, complete the assigned practical exercises and submit a satisfactory final cloud project. Any minimum score, resubmission requirement or attendance condition will be applied according to the institution’s published assessment policies.

 
Exam Location

Assessments are completed through the course’s approved learning environment or designated training venue, depending on the learner’s delivery mode. Official AWS certification examinations, if pursued separately, are subject to AWS testing policies and authorized testing arrangements.

Designated Training Venue
Separate Authorised AWS Testing Options
Course Learning Environment
Cloud Computing

Success Stories

“As a strong advocate for education and human development, I commend Berkeley for its exceptional commitment to empowering future leaders. The institution stands as a symbol of excellence, innovation, and opportunity. Students who walk its halls are nurtured with knowledge, values, and vision, qualities that contribute to building a stronger and more prosperous future for our nation.”- H.H. Shaikh Khalifa Al Hamid

Visit Our Alumni

Alumni Benefits

‣ Exclusive Networking Events: Access invitations to industry-leading events and thought-leadership gatherings featuring renowned speakers.


‣ Monthly Updates: Stay informed with a newsletter highlighting the latest research, events, and activities from the school.


‣ LinkedIn Community Access: Join the Executive Education LinkedIn group for networking and professional development opportunities.


‣ Educational Discounts: Enjoy a 20% discount on open-enrollment programs and access to workshops focused on emerging trends.


‣ Global Alumni Network: Connect with a diverse alumni community through the Berkeley School’s online network and engage in country and interest groups.

Is It Worth the Investment?

Completing the Cloud Computing course develops practical knowledge of cloud infrastructure beyond basic theory. Participants gain hands-on experience with AWS services including IAM, EC2, S3, VPC, RDS, DynamoDB, Elastic Load Balancing, Auto Scaling, Lambda, CloudWatch and CloudTrail. These skills are valuable across technology, finance, healthcare, telecommunications, e-commerce, consulting and public-sector organizations. The course supports entry-level roles in cloud support, infrastructure administration, cloud operations and junior cloud engineering. It also provides a foundation for pursuing AWS certifications and more advanced study in cloud architecture, DevOps and cloud security.

United Kingdom: £28,000–£65,000
United States: USD 54,000–USD 159,000
United Arab Emirates: AED 96,000–AED 320,000
Canada: CAD 51,000–CAD 128,000
Saudi Arabia: SAR 96,000–SAR 281,000

Cloud Computing

Progression Route:

After completing the Cloud Computing course, learners can progress to foundational certifications such as AWS Certified Cloud Practitioner, Microsoft Azure Fundamentals or Oracle Cloud Infrastructure Foundations Associate. With further practical experience, they may pursue AWS Certified Solutions Architect, CompTIA Cloud+, Certified Cloud Security Professional, Docker Certified Associate or Certified Kubernetes Administrator. Career progression may begin with roles such as Cloud Support Associate, Cloud Administrator or Junior Cloud Engineer and advance towards Cloud Engineer, DevOps Engineer, Cloud Security Specialist, Cloud Solutions Architect and Cloud Infrastructure Manager. Learners may also continue into advanced study in cloud architecture, cybersecurity, networking, DevOps, containerisation and infrastructure automation. External certification examinations require separate registration.

 

What You Earn

You will get a certificate of completion, which is highly reputed and accepted by employers

Cloud Computing

Gain Practical AWS Experience

Develop hands-on skills using core AWS services, including IAM, EC2, S3, VPC, RDS, DynamoDB, Lambda, CloudWatch and CloudTrail.

Design Scalable Cloud Solutions

Learn to use load balancing, Auto Scaling, serverless computing, monitoring and cost-management tools to create reliable and efficient cloud environments.

Complete a Practical Cloud Project

Plan, deploy, test and document a secure and scalable AWS solution that demonstrates applied knowledge and supports cloud-career development.

Gain Practical AWS Experience

Develop hands-on skills using core AWS services, including IAM, EC2, S3, VPC, RDS, DynamoDB, Lambda, CloudWatch and CloudTrail.

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