BERKELEY SCHOOL OF BUSINESS, ARTS & SCIENCES

Overview

The AWS course develops practical skills in Amazon EC2, S3, EBS, RDS, and DynamoDB. Participants learn to manage virtual servers, cloud storage, databases, and scalable, highly available architectures for modern applications and business workloads.

Key Area	Information
Cloud Architecture	Understand cloud computing models, architectures, components, and infrastructure
Cloud Services	Explore IaaS, PaaS, SaaS, and common cloud-based services
Virtualization	Learn virtualization concepts, resource allocation, containers, and scalable computing environments
Cloud Security	Understand identity management, data protection, access controls, compliance, and cloud security practices
Cloud Deployment	Examine public, private, hybrid, and multi-cloud environments, including deployment and scalability strategies

Offered By

Berkeley School of Business, Arts & Sciences

Vision & Mission

Cloud Computing is a beginner-friendly course that introduces AWS, cloud infrastructure, virtual servers, storage, databases, and scalable cloud architectures. It prepares learners for further AWS study, certifications, and entry-level roles in cloud administration, 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?

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 cloud computing and AWS fundamentals, covering cloud models, AWS infrastructure, regions, Availability Zones, the Management Console, and account management.

Understanding Cloud Computing and Its Benefits

Cloud Service Models: IaaS, PaaS and SaaS

Public, Private and Hybrid Cloud Deployment Models

Introduction to AWS Global Infrastructure and Management Console

Module 2: AWS Identity and Access Management

This module covers AWS IAM and security, including users, groups, roles, permissions, policies, authentication, the Shared Responsibility Model, and least-privilege access.

AWS Shared Responsibility Model

Creating and Managing IAM Users and Groups

IAM Roles, Permissions and Policies

Multi-Factor Authentication and Least-Privilege Access

Module 3: Amazon EC2 and Cloud-Based Virtual Servers

This module covers AWS EC2, including instance types, AMIs, storage, key pairs, security groups, server management, monitoring, and cost optimization.

Introduction to Amazon EC2 and Instance Types

Amazon Machine Images and Instance Configuration

Key Pairs, Security Groups and Instance Connectivity

EC2 Monitoring, Pricing and Cost Management

Module 4: Amazon S3 Cloud Storage and Data Management

This module covers AWS S3, including buckets, object management, permissions, storage classes, versioning, lifecycle management, data protection, and static website hosting.

Introduction to Amazon S3 Buckets and Objects

S3 Permissions, Policies and Access Control

Storage Classes, Versioning and Lifecycle Management

Data Protection and Static Website Hosting with S3

Module 5: Amazon S3 Cloud Storage and Data Management

This module covers AWS VPC, including IP addressing, subnets, route tables, internet gateways, network security, and secure cloud network design.

Introduction to Amazon VPC and IP Addressing

Creating Public and Private Subnets

Route Tables, Internet Gateways and Network Connectivity

Security Groups and Network Access Control Lists

Module 6: AWS Database Services and Data Management

This module covers AWS database services, including Amazon RDS and DynamoDB, with a focus on database setup, security, backups, monitoring, scalability, and service selection.

Introduction to Cloud Databases and Amazon RDS

Creating, Configuring and Connecting to RDS Databases

Amazon DynamoDB and NoSQL Data Management

Database Security, Backup, Monitoring and Scalability

Module 7: Elastic Load Balancing and Auto Scaling

This module covers AWS scalability and high availability, including Elastic Load Balancing, Auto Scaling, health checks, scaling policies, and fault-tolerant architecture.

Introduction to Elastic Load Balancing

Configuring Load Balancers and Health Checks

Creating Auto Scaling Groups and Scaling Policies

Designing Highly Available and Fault-Tolerant Applications

Module 8: Serverless Computing with AWS Lambda

This module covers AWS serverless computing, including AWS Lambda, event-driven functions, API Gateway, permissions, and scalable, cost-effective application development.

Understanding Serverless Computing

Creating and Configuring AWS Lambda Functions

Lambda Triggers, Permissions and Event-Driven Workflows

Building Serverless Applications with Amazon API Gateway

Module 9: AWS Monitoring, Logging and Resource Management

This module covers AWS monitoring and logging, including CloudWatch metrics, logs, dashboards, alarms, and CloudTrail for auditing, security, and troubleshooting.

Monitoring AWS Resources with Amazon CloudWatch

Working with Metrics, Logs and Dashboards

Creating CloudWatch Alarms and Notifications

Auditing Account Activity with AWS CloudTrail

Module 10: Cloud Deployment, Cost Optimisation and Final Project

This final module integrates the course skills through a practical AWS cloud project, covering secure architecture, scalability, monitoring, cost management, troubleshooting, and deployment best practices.

Planning a Secure and Scalable AWS Architecture

Deploying and Testing the Final Cloud Project

AWS Billing, Budgets and Cost Optimization

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.

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.

Practice Session

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

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?

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

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

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.

Visit Our Alumni

Is It Worth the Investment?

The Cloud Computing course provides hands-on AWS experience with IAM, EC2, S3, VPC, databases, Lambda, monitoring, and security, preparing learners for entry-level cloud roles and further AWS certification and advanced cloud studies.

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

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

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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FAQ: Cloud Computing

What is the Cloud Computing course?

The course introduces Cloud Computing concepts and, first, builds a strong foundation in cloud technologies. In addition, participants develop practical skills in deploying, securing, monitoring, and managing cloud services through Amazon Web Services (AWS). Furthermore, they gain hands-on experience with cloud infrastructure, virtualisation, and cloud security best practices. As a result, learners develop the confidence to manage cloud environments effectively and support modern cloud-based business operations. Ultimately, the course prepares participants to apply cloud computing skills in real-world IT environments.

Who should enroll in this course?

The course is suitable for students, IT beginners, system administrators, developers, technical support professionals, and individuals seeking foundational Cloud Computing skills. In addition, it provides a structured introduction to cloud technologies and their practical applications. Furthermore, participants develop the knowledge required to understand cloud infrastructure, deployment models, and cloud security principles. As a result, learners build the confidence to support cloud-based environments and pursue entry-level roles in the rapidly growing field of Cloud Computing.

Is previous cloud experience required?

Which cloud platform is covered?

Which AWS services are included?

Does the course include cloud security?

Will participants receive practical AWS experience?

Does the course cover cloud databases?

Is serverless computing included?

Does the course teach cloud monitoring and cost control?

Is there a final project?

What career opportunities can this course support?

Cloud Computing provides the knowledge and practical skills required to pursue entry-level roles such as Cloud Support Associate, Junior Cloud Administrator, AWS Support Technician, Cloud Operations Associate, and Junior Cloud Engineer. In addition, the course develops a strong foundation in cloud infrastructure, virtualization, cloud services, and deployment concepts. As a result, participants are better prepared to begin a career in cloud technologies across industries that rely on modern cloud-based solutions.