Cloud Computing Course

Cloud computing is a technology that enables users to access and use computing resources (such as servers, storage, databases, networking, software, analytics, and intelligence) over the internet.

It eliminates the need for organizations to invest in and maintain physical infrastructure, allowing for scalable and flexible solutions. Users can leverage on-demand services, paying only for what they use. Cloud computing offers benefits like cost efficiency, agility, and rapid deployment.

Common cloud service models include Infrastructure as a Service (IaaS), Platform as a Service (PaaS), and Software as a Service (SaaS). Popular cloud providers include Amazon Web Services (AWS), Microsoft Azure, and Google Cloud Platform (GCP).

?In Cloud Computing training, classes are typically conducted through a combination of online platforms and virtual environments. Utilizing cloud-based technologies, instructors deliver lectures, demonstrations, and hands-on exercises via video conferencing tools, such as Zoom or Microsoft Teams.

Students access cloud platforms like AWS, Azure, or Google Cloud to gain practical experience in deploying, managing, and optimizing cloud infrastructure. Collaborative tools like Slack or Discord facilitate communication and resource sharing among participants.

The training often includes real-world case studies, enabling students to apply theoretical knowledge to practical scenarios. Assessments may involve cloud-based simulations, projects, and online exams. This flexible and scalable approach allows for interactive learning, fosters collaboration, and prepares participants for the dynamic and evolving landscape of cloud computing.

Syllabus:

• Week 1-2: Introduction to Cloud Computing
• Definition and Evolution of Cloud Computing
• Characteristics of Cloud Computing (On-demand self-service, Broad network access, Resource pooling, Rapid elasticity, Measured service)
• Service Models (IaaS, PaaS, SaaS)
• Deployment Models (Public Cloud, Private Cloud, Hybrid Cloud)
• Week 3-4: Cloud Infrastructure
• Virtualization Technologies
• Hypervisors and Containers
• Infrastructure as a Service (IaaS) Providers
• Virtual Networks and Storage in the Cloud
• Week 5-6: Cloud Platforms and Services
• Platform as a Service (PaaS) Concepts and Examples
• Software as a Service (SaaS) Overview
• Common Cloud Services (Compute, Storage, Database, Networking)
• Week 7-8: Cloud Security
• Security Challenges in Cloud Computing
• Identity and Access Management (IAM)
• Data Encryption and Compliance
• Security Best Practices and Case Studies
• Week 9-10: Cloud Deployment and Management
• Cloud Deployment Models (Public, Private, Hybrid)
• Cloud Orchestration and Automation
• Cloud Management Platforms
• Monitoring and Performance Optimization
• Week 11-12: Cloud Application Development
• Developing Applications for the Cloud
• Microservices Architecture
• DevOps Practices in the Cloud
• Serverless Computing
• Week 13-14: Case Studies and Emerging Trends
• Case Studies of Successful Cloud Implementations
• Emerging Trends in Cloud Computing (Edge Computing, Multi-cloud, Serverless)
• Future Directions and Innovations in Cloud Technology
• Week 15: Final Project and Review
• Group or Individual Project: Designing a Cloud-Based Solution
• Presentation of Final Projects
• Course Review and Q&A
• Evaluation:
• Midterm Exam: 20%
• Final Exam: 30%
• Assignments and Labs: 25%
• Final Project: 20%
• Class Participation and Attendance: 5%