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DevOps

Understand the software life cycle by learning a streamlined development process for speeding up software delivery.

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DevOps

At a Glance

Type
Courses
Enrollment
Open Enrollment
Duration
8 weeks
Format
Online
Cost
$2,500

Upcoming Dates

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Program Details

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Learn to build, test, and maintain coherent software releases that are quick, reliable, and scalable.

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The University of Chicago’s eight-week DevOps course focuses on key aspects like deployment, release, versioning, testing, packaging, and clouding. Gain hands-on experience with Datadog, Docker, Git, Jenkins, Kubernetes, the Linux environment, Maven, VMware, and more.

Designed For

Designed for Designed for individual contributors, engineers, technicians, or professionals interested in technology who want to understand DevOps processes and the software life cycle.

DevOps is the combination of approaches, practices, and tools that optimizes an organization’s ability to deliver services and applications at high velocity and scale. It helps create and improve products faster and more reliably than traditional software development and deployment. Learn to create more value in less time by integrating key teams and processes.

After completing the course, you will be able to: 

  • Implement continuous integration and reduce time-to-market of software
  • Design a complete infrastructure to deploy, configure, test, and monitor software
  • Create a DevOps-related cloud and virtualization architecture
DevOps at the University of Chicago

Did you know that DevOps drives faster, more efficient outcomes for organizations?

Reach out to our admissions team to find out how this course will help boost your business.

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Online Learning Course Structure

  • Eight weeks in length
  • Weekly, self-paced interactive learning modules and assignments are time-sensitive and should be completed by the set deadlines
  • Synchronous sessions and live question and answer sessions 
  • Mentors will provide continuous support and encourage a dynamic and positive learning environment

Learning Objectives

  • Drive the operating system
  • Deploy and link software to external libraries
  • Automate the release of new software
  • Conduct functional, load/performance, and regression testing
  • Identify effective database management practices and select between different formats to store configurations of the software

Introduction to DevOps I

Module 1

Gain an overview of DevOps, operating systems, scripting and task automation, clouding, and virtualization.

Introduction to DevOps II 

Module 2

Learn more about the fundamentals of DevOps principles and practices.

Development Workflow

Module 3

Learn to deploy and/or build software, link software to external libraries, identify when and how to upgrade libraries, and how to use a compiler to translate programming language into machine language.

Release and File Versioning

Module 4

Learn to implement the change management processes, schedule building releases, utilize a source code manager like GitHub, and automate new software releases.

Testing

Module 5

Explore functional testing, load/performance testing, and regression testing.

Software Packaging and Development

Module 6

Learn to copy and upload the software compiled to a given machine, identify strengths and weaknesses of different packaging methods, and select the optimal packaging method for a particular context.

Configuration

Module 7

Learn about identifying effective database management practices and selecting between different formats for storing software configurations, utilizing mesh services to connect and communicate between differentiated independent components of the software system, and developing methods to track changes in software configurations.  

Monitoring

Module 8

Learn to use Data Dog software to collect user data and graph metrics in real time, monitor software performance by interpreting metrics in relation to others, establish a threshold for each metric to identify and report issues, and select metrics to log and make decisions about how to store, compress, and archive logs.

Meet Your Instructor

Sebastien Donadio

Sebastien Donadio, PhD

Chief Technology Officer, TradAir

Sebastien Donation has nearly two decades of experience in the fields of high-performance computing, software design and development, and financial computing. Currently an architect in Bloomberg Office of the CTO, he has a wide variety of professional experience, including serving as CTO of a FX/Crypto trading shop, head of software engineering at HC Technologies, quantitative trading strategy software developer at Sun Trading, partner at high-frequency trading hedge fund AienTech, and a technological leader in creating operating systems for the Department of Defense. He also has research experience with Bull, and as an IT Credit Risk Manager with Société Générale in France.

Sebastien has taught various computer science and financial engineering courses over the past fifteen years at a variety of academic institutions, including the University of Versailles, Columbia University’s Fu Foundation School of Engineering and Applied Science, University of Chicago and NYU Tandon School of Engineering. Courses taught include: Computer Architecture, Parallel Architecture, Operating Systems, Machine Learning, Advanced Programming, Real-time Smart Systems, Computing for Finance in Python, and Advanced Computing for Finance. Sebastien holds a PhD in High Performance Computing Optimization, an MBA in Finance and Management, and an MSc in Analytics from the University of Chicago. His main passion is technology, but he is also a scuba diving instructor and an experienced rock-climber.

Course(s)

Career Outlook

The pervasive skills shortage within the DevOps recruitment market and a growing number of jobs requiring DevOps or platform engineering experience offers DevOps practitioners near-limitless career opportunities. Between start-ups building DevOps models into their product development and large, technology-driven companies creating new DevOps roles, DevOps experts are in demand within the IT space. The DevOps market is expected to grow at a CAGR of 24.7% to total 10.3 billion dollars by 2023.  

$ 102 k

The average annual salary for a DevOps engineer in the US 

# 1

The ranking of communication among the most important non-technical skills for a DevOps professional to possess

22 $

The rate at which software development jobs are expected to grow over the next decade 

Potential Job Titles for DevOps Professionals

  • Azure DevOps Engineer 
  • Cloud DevOps Engineer 
  • Cloud Infrastructure Engineer 
  • DevOps Automation Engineer 
  • DevOps Engineer 
  • DevOps Manager 
  • DevSecOps Engineer 
  • Lead DevOps Engineer 
Students in classroom with laptop

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