Sail() - Social and Interactive Learning Platform

Cloud Computing PATHWAY

Data Science PATHWAY

AI/ML PATHWAY

Introduction to Computing

Cloud Administrator

Practical Programming with Python

Cloud DevOps Engineer

Cloud Developer

Sail(Introduction to Computing)_

Students learn what computing is and what role it plays as well as the concepts, techniques, skills and tools needed for operating and managing computers in both, personal and enterprise environments.

Course Description:

In this course, students gain hands-on experience solving real world problems by completing projects in the areas of operating systems management, data handling, networking, cloud computing, and software development. It is our goal that students develop foundational knowledge and skills needed to become an IT professional. Students will be able to identify the role computing plays in a modern society in areas such as data analysis, automation, or Internet of Things (IoT). Topics include computing devices, operating systems, data representation, filesystems, networking, Internet, cloud services, Cybersecurity, database systems, computer programming and troubleshooting.

Pre-requisites:

None

Duration:

8 weeks per quarter

15 weeks per semester

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Learning Objectives

Students who complete the Introduction to Computing course should be able to:

Identify and suggest appropriate computing devices and operating systems for various workloads and use cases.
Process data stored in various binary or text file formats, load, access, and update data in enterprise database systems.
Recognize and configure different networking devices for local network and internet connection, and provision and access resources in the cloud.
Implement measures to secure networked computing devices and troubleshoot malfunctioning systems.

Sail(Cloud Administrator)_

Cloud Administrators create and maintain cloud applications, as well as automate, monitor, and secure data being transferred to the cloud.

Course Description:

Students will gain knowledge and develop hands-on experience solving real-world problems in the area of cloud administration. This includes the process to provision, orchestrate, scale, manage, and monitor cloud services across compute, storage, networking, and security using various cloud interfaces. All projects utilize existing public cloud infrastructure, tools, and services. Specifically, students will be exposed to real-world scenarios, infrastructure, and data. It is our goal that students will develop the skills needed to become a cloud administrator.

Pre-requisites:

Intro to Computing

Duration:

8 weeks per quarter

15 weeks per semester

Get the syllabus template

Learning Objectives

Students who complete the Cloud Administrator course should be able to:

Explain the core concepts of the cloud computing paradigm and discuss how and why the cloud paradigm shift came about.
Explain the characteristics of various models and services in cloud computing and discuss their advantages and challenges.
Create, configure and manage cloud accounts, subscriptions, user and service identities.
Set and manage role-based access control (RBAC) based on a set of specifications.
Configure, create, and manage compute, networking and storage cloud resources and set their policies and access.
Apply cloud scaling solutions to deploy a load-balanced web application on the cloud.
Create, configure, deploy, manage and monitor cloud resources through cloud orchestration tools.
Utilize monitoring telemetry, metrics, and alerts for cloud resources to improve the reliability and availability of cloud applications.
Create, configure, and manage virtual networks, subnets, security groups, and IP addresses.
Employ cloud backup, redundancy, and recovery services to deploy cloud-based fault-tolerant services.

Sail(Practical Programming with Python)_

Python is one of the most popular programming languages which is being used for a variety of tasks, such as back-end development, desktop application development, data science and writing system scripts.

Course Description:

Students will gain knowledge and develop hands-on experience solving real-world problems via implementing programs written in Python. The students gain knowledge and practical hands-on experience using the fundamental constituents of the Python programming language. These include but are not limited to types, variables, functions, iteration, conditionals, Python data structures, classes, objects, and modules. The students get exposed to several IDEs, such as IDLE, VS Code, Jupyter Notebook, basic I/O operations, as well as the fundamental software development practices (top-down design, test-driven development, debugging, style). Finally, students work on three larger applications - enterprise data manipulation (flat files, data stores), web application backend, and data analysis (visualization, matching). It is our goal that students will develop the skills needed to write small to medium programs in Python.

Pre-requisites:

Introduction to Computing

Duration:

8 weeks per quarter

15 weeks per semester

Get the syllabus template

Learning Objectives

Students who complete the Practical Programming with Python course should be able to:

Explain and use fundamental constituents of the Python programming language to solve a variety of computational problems.
Read data stored in different data formats, such as CSV, JSON, and XML, or database systems, such as MySQL or MongoDB, transform it, and persist the transformed data in a different file format or a database system using Python.
Recognize and utilize well-established software development practices.
Process common office document formats and obtain information from the web or publicly available APIs using Python.
Analyze and visualize real-world data using Python data science libraries.

Sail(Cloud DevOps Engineer)_

Cloud DevOps Engineers ensure that cloud systems work smoothly and efficiently by designing and deploying high-quality software and support.

Course Description:

Students will gain knowledge and develop hands-on experience solving real-world problems in the area of Cloud DevOps. Cloud DevOps combines people, processes, and technologies in order to increase software delivery velocity and improve service reliability. Cloud DevOps connects formerly siloed roles—development, IT operations, quality engineering, and security. Students will design and implement strategies for application and infrastructure that enable continuous integration, continuous testing, continuous delivery, infrastructure as code as well as monitoring. All projects utilize existing public cloud infrastructure, tools, and services. Students will leverage cloud technologies to design and implement DevOps solutions to version control, building, testing, release, provisioning, configuration, deployment, and monitoring. It is our goal that students will develop the skills needed to become a cloud DevOps engineer.

Pre-requisites:

Cloud Admin

Intro to Programming

Duration:

8 weeks per quarter

15 weeks per semester

Get the syllabus template

Learning Objectives

Students who complete the Cloud DevOps Engineer course should be able to:

Describe the benefits of DevOps and explain how Agile and DevOps work in tandem
Describe the definition, benefits, stages and best practices of Continuous Integration/Continuous Delivery and Continuous testing
Define infrastructure and configuration management and compare solutions
Discuss the benefits and key metrics of Site Reliability Engineering (SRE)
Describe the best practices to design logging, monitoring and actionable alerts
Describe the security and compliance requirements in DevOps
Implement end-to-end Continuous Integration and Continuous Delivery (CI/CD) pipelines to automate test, and build, and deployment for VM-hosted applications, containerized microservices, and serverless architectures
Provision and manage cloud infrastructure using Infrastructure as Code
Utilize monitoring telemetry, metrics, and alerts for cloud resources to improve the reliability and availability of cloud applications.

Sail(Cloud Developer)_

Cloud Developers design and develop cloud applications, services, and products.

Course Description:

Students will gain knowledge and develop hands-on experience solving real-world problems in the field of cloud development. Conceptually, the course will introduce this domain and cover the topics of cloud infrastructures, virtualization, software-defined networks and storage, cloud storage, and programming models (analytics frameworks).

Modern data centers enable many of the economic and technological benefits of the cloud paradigm; hence, we will describe several concepts behind data center design and management and software deployment. Subsequently, students will learn about different cloud storage concepts including data distribution, durability, consistency and redundancy.

Projects will utilize public cloud infrastructures Amazon Web Services (AWS), Microsoft Azure and Google Cloud Platform (GCP). Students will utilize MapReduce, interactive programming using Jupyter Notebooks, and data science libraries to clean, prepare and analyze a large data set. Students will orchestrate the deployment of auto-scaled, loadbalanced and fault-tolerant applications using virtual machines (VMs), Docker containers and Kubernetes, as well as serverless computing through Functions as a Service. In addition, students will develop different analytics applications using batch, iterative and stream processing frameworks. It is our goal that students will develop the required skills needed to become a cloud developer.

Pre-requisites:

Intermediate programming skills (Python and Java)

Basic Linux and Bash scripting skills

Duration:

8 weeks per quarter

15 weeks per semester

Get the syllabus template

Learning Objectives

Students who complete the Cloud Developer course should be able to:

Explain the core concepts of the cloud computing paradigm: how and why this paradigm shift came about, the characteristics, advantages and challenges brought about by the various models and services in cloud computing.
Apply fundamental concepts in cloud infrastructures to understand the tradeoffs in power, efficiency and cost, and then study how to leverage and manage single and multiple datacenters to build and deploy cloud applications that are resilient, elastic and cost-efficient.
Discuss system, network and storage virtualization and outline their role in enabling the cloud computing system model.
Describe the overall organization of data and the fundamental concepts of cloud storage. Compare and contrast different types of distributed file systems and discuss their design considerations. Compare and contrast different types of databases and discuss their design tradeoffs. Discuss the concepts of cloud object storage.
Explain the main execution flow, scheduling and fault tolerance concepts in various cloud programming models. Recall and contrast different cloud programming models (MapReduce, Spark, GraphLab, Spark Streaming and Samza).
Design, architect, implement, test, deploy, monitor and maintain cloud-based applications.
Identify the appropriate tools and architectures to implement a cloud-based design.
Analyze the tradeoffs between different tools and cloud offerings to meet real-world constraints.
Evaluate performance characteristics of cloud-based services to implement optimizations.

Courses

Sail(Introduction to Computing)_