Cloud Technologies
Course Learning Objective:
To provide students with a comprehensive understanding of cloud computing technologies, enabling them to design, implement, and manage cloud-based solutions while addressing complex problems, fostering critical thinking, and promoting sustainable practices.
Course Outcomes:
By the end of this course, students will be able to:
Analyze the architecture and components of cloud computing systems to solve complex problems (Complex problem-solving, Analytical reasoning).
Evaluate different cloud service models and deployment strategies to make informed decisions (Critical Thinking, Research-related skills).
Design and implement cloud-based applications and services using appropriate tools and technologies (Digital Literacy, Self-Directed Learning).
Collaborate effectively in teams to develop cloud solutions, demonstrating leadership and teamwork skills (Cooperative/Teamwork, Leadership readiness).
Communicate technical concepts and solutions related to cloud technologies clearly and effectively (Communication Skills, Multicultural competence and inclusive spirit).
Syllabus
Unit 1: Introduction to Cloud Computing (9 hours)
Definition and characteristics of cloud computing
Cloud service models: IaaS, PaaS, SaaS
Cloud deployment models: Public, Private, Hybrid, Community
Benefits and challenges of cloud computing
Case studies of cloud adoption
Unit 2: Cloud Architecture and Infrastructure (9 hours)
Cloud architecture: Components and layers
Virtualization: Concepts, types, and technologies
Data centers and cloud infrastructure
Networking in cloud computing
Security and compliance in cloud environments
Unit 3: Cloud Services and Applications (9 hours)
Cloud storage and databases
Cloud-based applications and services
Development platforms and tools for cloud applications
Microservices and containerization
Serverless computing
Unit 4: Cloud Management and Operations (9 hours)
Cloud management platforms and tools
Monitoring and managing cloud resources
Cost management and optimization
Disaster recovery and business continuity
Performance tuning and scaling
Unit 5: Emerging Trends and Future Directions (9 hours)
Edge computing and IoT integration with cloud
Artificial Intelligence and Machine Learning in the cloud
Blockchain and cloud computing
Green cloud computing and sustainability
Future trends and research directions in cloud computing
Exercises:
Analyze a case study of cloud adoption in a real-world organization.
Compare and contrast different cloud service models.
Design a cloud architecture for a given application scenario.
Implement a simple cloud-based application using a chosen platform.
Set up and configure a virtual machine in a cloud environment.
Develop a microservice-based application and deploy it on a cloud platform.
Create and manage cloud storage solutions.
Monitor and optimize the performance of a cloud application.
Implement a disaster recovery plan for a cloud-based system.
Evaluate the security measures of a cloud service provider.
Conduct a cost analysis for deploying an application on different cloud platforms.
Develop a serverless function and deploy it on a cloud platform.
Integrate IoT devices with a cloud platform.
Implement a machine learning model using cloud-based tools.
Explore the use of blockchain technology in cloud computing.
Research and present on the environmental impact of cloud computing.
Collaborate on a group project to design a comprehensive cloud solution.
Write a report on the future trends in cloud computing.
Create a presentation on the benefits and challenges of cloud computing.
Participate in a debate on the ethical implications of cloud computing.