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BERKELEY SCHOOL OF BUSINESS, ARTS & SCIENCES

Amazon Web Services (AWS)

The Amazon Web Services (AWS) program provides a strong foundation in cloud computing and AWS technologies. It prepares learners to understand cloud infrastructure, deploy scalable solutions, and develop practical skills for modern cloud-based IT environments.

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Amazon Web Services (AWS)

Overview

Amazon Web Services (AWS)

The program introduces AWS cloud concepts, core services, infrastructure, storage, networking, security, databases, and cloud management. Learners explore how AWS services support application deployment, scalability, reliability, and cost-effective business operations.

 

SectionContent
CourseAmazon Web Services (AWS)
FocusCloud Computing, AWS Infrastructure & Cloud Services
Key SkillsCloud Computing, AWS Services, Infrastructure Management, Networking, Storage, Databases, Cloud Security, Application Deployment
TechnologiesAmazon Web Services (AWS), AWS Compute, AWS Storage, AWS Networking, AWS Databases, AWS Security Services
OutcomeFoundational ability to understand, use, and manage AWS cloud services and support scalable, secure, and reliable cloud environments.

Offered By

Berkeley School of Business, Arts & Sciences

Vision & Mission

Vision

To develop confident cloud professionals who can effectively apply AWS technologies to build secure, scalable, and reliable cloud solutions.

Mission

To build practical knowledge of AWS cloud services, infrastructure, security, networking, storage, databases, and cloud management while preparing learners for modern cloud computing environments.

What is the Eligibility?

No specific prerequisites are required. Basic computer literacy and a general understanding of IT or cloud computing concepts are recommended for effective participation.

Who can do?

Who can do?
anyone who is interested to learn about following concepts can pursue Amazon Web Services (AWS):
AWS Fundamentals & Cloud Computing, Compute & Serverless Services, Storage & Database Services, Networking & Security, DevOps & Automation, AI & Machine Learning on AWS, Cost Optimization & Migration, AWS Certification & Career Growth.
individuals with the following designations:
Popular designations to pursue in Amazon Web Services (AWS) include Cloud Engineer, AWS Solutions Architect, DevOps Engineer, Cloud Security Engineer, AWS Developer, Site Reliability Engineer (SRE), Cloud Consultant, Data Engineer, Machine Learning Engineer, Cloud Support Engineer, Cloud Network Engineer, AWS SysOps Administrator, Cloud Product Manager, AWS Migration Specialist, Cloud Infrastructure Engineer, AWS Certified Trainer, Cloud Automation Engineer, Cloud Cost Optimization Specialist, Cloud Compliance Analyst, Enterprise Cloud Architect..

Course structure

Module 1: AWS Fundamentals & Core Services

AWS and its global infrastructure, covering key cloud concepts and account setup. It explores core services like EC2 for computing, S3 for storage, and Lambda for serverless functions. Load balancing, auto-scaling, and backup solutions are also included.

Module 2: Networking, Security & Databases

AWS networking with VPC, Route 53, and Direct Connect for secure connectivity. It explores security features like IAM, Security Groups, WAF, and compliance standards. Additionally, it includes database services such as RDS, DynamoDB, and Redshift for scalable data management.

Module 3: DevOps, Serverless & AI Services

AWS DevOps tools like CodePipeline, CloudFormation, and CloudWatch for automation and monitoring. It covers serverless computing with Lambda, API Gateway, and Fargate for microservices. Additionally, it explores AI and ML services, including SageMaker, Rekognition, and Lex for intelligent applications.

Module 4: Cost Optimization, Migration & Certification

AWS cost management with pricing models, Cost Explorer, and Trusted Advisor for optimization. It explores migration services like AWS Migration Hub and Snowball for seamless cloud adoption.

Lecture plan

Session 1: AWS Fundamentals & Core Services (3Hours)

Session 2: AWS Fundamentals & Core Services (3Hours)

Session 3: Networking, Security & Databases (3Hours)

Session 4: Networking, Security & Databases (3Hours)

Session 5: DevOps, Serverless & AI Services (3Hours)

Session 6: DevOps, Serverless & AI Services (3Hours)

Session 7: Cost Optimization, Migration & Certification (3Hours)

Session 8: Cost Optimization, Migration & Certification (3Hours)

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.

Participants interested in advanced cloud technologies can continue their learning journey through the Machine Learning Specialization and Certified IoT Specialization programs.

Lectures
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 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 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's 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.

Success Stories

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?

Salaries for Amazon Web Services AWS professionals vary significantly across different countries, influenced by factors such as role, experience, and location

United Kingdom (UK):

  • AWS Engineer: The average salary is approximately £67,700 per year, with most professionals earning between £45,000 and £100,000 annually
  • AWS Solutions Architect: Average annual salary around £80,000.

United States (USA):

  • AWS Cloud Engineer: The average hourly wage is $62.89, equating to approximately $130,811 per year.
  • AWS Solutions Architect: Average annual salary of $155,005.

United Arab Emirates (UAE):

  • Cloud Engineer: The average annual salary is AED 331,148.
  • AWS Solutions Architect: Average annual salary around AED 300,000.

Canada:

  • Data Engineer: Salaries for data engineers, which can be comparable to AWS roles, are generally lower than in the USA.
  • AWS Solutions Architect: Average annual salary of CAD 127,870.

Saudi Arabia (KSA):

  • Cloud Engineer: The average annual salary is SAR 253,835.

Industry roles and AWS technology updates can be explored at Amazon

Career path

What You Earn

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

What You Earn

Fundamental Knowledge

Basic understanding of AWS includes its cloud computing services, global infrastructure, pricing models, and core solutions for computing, storage, networking, and security.

Career Advancement

Advancing a career in AWS involves gaining certifications, hands-on experience, and expertise in cloud solutions, security, DevOps, and cost optimization.

Industry Relevance

AWS remains highly relevant across industries, powering cloud solutions for businesses in technology, finance, healthcare, retail, and more with scalable and secure services.

Technical Skills

Key technical skills for AWS include cloud computing, networking, security, DevOps, automation, database management, serverless computing, and cost optimization.

Future Trends

Future trends in AWS include increased adoption of AI/ML services, serverless computing, edge computing, hybrid cloud solutions, and enhanced cloud security innovations.

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FAQ: Amazon Web Services (AWS)

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