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Nanodegree Program syllabus
| Institution | Jomo Kenyatta University of Science and Technology |
| Course | Information Technol... |
| Year | 3rd Year |
| Semester | Unknown |
| Posted By | Jeff Odhiambo |
| File Type | |
| Pages | 13 Pages |
| File Size | 869.93 KB |
| Views | 3261 |
| Downloads | 0 |
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Description
A Nanodegree program syllabus typically outlines a comprehensive curriculum designed to equip students with specialized skills in fields like data science, artificial intelligence, programming, or digital marketing. The syllabus includes a structured sequence of courses covering foundational concepts, practical applications, and advanced techniques. Students are guided through hands-on projects, real-world case studies, and assessments, allowing them to build a portfolio of work that demonstrates their proficiency. The program often includes mentorship, career support, and opportunities to interact with a community of learners, ensuring students gain both technical expertise and the soft skills necessary for success in their chosen industry.
Below is the document preview.
Introduction to cloud computing
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Cloud computing refers to the delivery of computing services over the internet ("the cloud"). These services include servers, storage, databases, networking, software, analytics, and more. Instead of owning physical data centers or servers, businesses and individuals can access technology resources on-demand from a cloud service provider.
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Building cloud infrastructure
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Building cloud infrastructure involves creating and deploying a combination of hardware, software, networking, and services to host and manage applications, data, and resources in a cloud computing environment.
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Physical layer
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In cloud computing, the physical layer refers to the foundational hardware infrastructure and resources that support the cloud environment. It includes all the physical components necessary to store, process, and transmit data.
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Virtual Layer
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A virtual layer refers to an abstraction layer that separates the physical resources or systems from the applications or processes that utilize them. It creates an interface or "virtualization" to make underlying resources more flexible, scalable, and easier to manage. Virtual layers are commonly used in computing, networking, and software environments.
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Control Layer
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control layer refers to the management and orchestration layer that oversees the underlying cloud infrastructure. It acts as an intermediary between the physical or virtual resources and the user or application interfaces. The control layer is responsible for enabling resource provisioning, monitoring, scaling, and other management tasks.
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Service and Orchestration
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A service in cloud computing refers to a specific resource or functionality provided by a cloud provider. Services can range from infrastructure to platforms and applications.Service orchestration is the automated coordination and management of multiple services to achieve a specific outcome. It ensures that individual services work together efficiently to deliver complex workflows or applications.
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Business Continuity
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Business continuity refers to the ability of a business or organization to maintain essential functions during and after a disruptive event. In the context of cloud computing, it ensures that cloud-based services and applications remain available and operational, even in the event of hardware failures, cyberattacks, natural disasters, or other emergencies. Business continuity in cloud computing focuses on resilience, redundancy, and minimizing downtime.
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Security
This module focuses security cross-layer function of the cloud computing reference model. This module focuses on key security threats to a cloud infrastructure. It focuses on the various security mechanisms that enables the cloud service providers to mitigate these threats. Finally, this module focuses on the governance, risk, and compliance (GRC) aspect in a cloud environment.
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Service Management
This module focuses on the service management cross-layer function of the cloud computing reference model. This module focuses on service portfolio management and service operation management processes.
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Introduction to advanced database
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An Introduction to Advanced Databases typically covers a range of advanced topics related to the design, management, and optimization of large and complex database systems. The focus is often on systems that go beyond basic relational databases, delving into areas that involve performance optimization, data integrity, distributed systems, and advanced querying techniques.
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