High Demand for DevOps EngineersPremium Packages and High Career Growth

“DevOps Engineers can expect an average
salary of $123k annually.”

  • The global DevOps market size is estimated to reach USD 25.5 billion by 2028, at a CAGR of 18.95%.
  • 86% of the businesses say that their company must develop and begin production of new software quickly, so they see value in DevOps.

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Legendary Faculty
Learn from the pioneers of DevOps

Len Bass

Adjunct Faculty at CMU

Expertise: DevOps, Software Architecture, User Interface SOftware, Security Architecture

  • An Emeritus Professor, Software Engineer, and DevOps Researcher.
  • Recognized for his contributions to software architecture.
  • Led the User-Interface Software Group at Software Engineering Institute (SEI).
  • Worked as a Senior Principal Researcher with NICTA (National ICT Australia).
  • Author of best-selling DevOps and Software Architecture books.
  • Member of advisory boards of top organizations like Microsoft and NASA.

Hasan Yasar

Technical Director of Continuous Deployment of Capability
at Software Engineering Institute (SEI), CMU

Expertise: DevOps, Software Architecture, Cloud-based Application Development, and AI System Development

  • At SEI, Hasan leads a team that uses new-age technologies to build a Smart Software Platform.
  • 25+ years of experience with expertise in software development and cyber security.
  • Initially joined SEI and built solutions for government cyber security frameworks.
  • Created a research agenda for the Cyber Security Solutions Directorate, directly supporting the US Dept. of Defense.
  • Adjunct Faculty at CMU’s Heinz College & Institute of Software Research.
  • A noted speaker at global DevOps community summits.

Joseph Yankel

DevSecOps Innovations Leader at CMU - SEI

Expertise: Automation, DevSecOps, Software Development

  • Joined CMU as Senior Developer Team Lead for SEI’s CERT Division.
  • At CERT, he worked on DevSecOps, building, and testing distributed systems.
  • Currently, leads the DevSecOps Initiative team at the SEI.
  • Worked with many leading US companies like GE, Trustwave, and Smartronix.
  • Helped the US Govt. to help mitigate vulnerabilities in the network architecture.
  • Sergeant in the US Marine Corps between 1993 and 1997.

High Impact Format
Live Interactive Classes + Hands-on Practices

Why DevOps from CMU - SCS

  • World’s 1st and best Computer Science School
  • CMMI, developed at SEI,
    CMU.
  • 20 Nobel Laureates
  • 13 Turing Awards

CMMI: Capability Maturity Model Integration (CMMI) is a process level
improvement training and appraisal program.
SEI: Software Engineering Institute

Carnegie Mellon University

A private, global research university, Carnegie Mellon University (CMU) is one of the world's most renowned educational institutions. With its cutting-edge education, a stellar alumni network of Nobel, Emmy, Tony, and Turing prize winners, innovative startups, and home to groundbreaking innovations, CMU has mastered creating a future as imagined.

School of Computer Science at CMU

The School of Computer Science (SCS) at CMU is widely recognized as one of the first and best computer science programs in the world. SCS is a home to researchers who have made developments in the fields of algorithms, computer networks, distributed systems, computational biology, robotics, language technologies, human–computer interaction and software engineering. To learn more, visit SCS website

DevOps Training Course Overview

The DevOps Advanced Certification Training Course from Carnegie Mellon University's School of Computer Science is a top-notch training program for professionals aiming to excel in the dynamic field of DevOps. This 6-month online course combines theoretical knowledge with hands-on applications, equipping participants with the skills needed to become leaders in DevOps.

The program, delivered through live interactive classes, provides a unique chance for participants to engage with industry experts gaining insights into the latest DevOps practices. Emphasizing collaboration, communication, and the seamless integration of software development and IT operations, the DevOps training course empowers participants to streamline processes, enhance productivity, and drive innovation within their teams.

Upon completing the program, participants receive a globally recognized DevOps certification from Carnegie Mellon University, renowned for excellence in the School of Computer Science. This certification confirms proficiency in DevOps and significantly boosts career prospects. The program is suitable for a diverse audience, including DevOps engineers, cloud computing professionals, software developers, operation/project/product managers, and those interested in specialized areas like DevOps Azure and AWS DevOps.

Fresh graduates with a strong passion for building a career in DevOps may also be considered, depending on the decision of the selection panel. Take advantage of the opportunity to advance your career with our comprehensive DevOps course, offering essential training and certification for aspiring professionals in the United States.

DevOps Certification Training Curriculum The state-of-the-art curriculum is delivered through LIVE interactive sessions with the world-renowned faculty.

Foundation Modules

  • Learn principles of Devops
  • Discover SW delivery environment
  • Practice to eliminate deployment errors

  • Practice networking fundamentals
  • Learn cloud structure
  • Able to setup virtual networking

  • Practice to setup Virtualized platforms
  • Ability to distinguish VM and Containers
  • Use container management to deploy various container-based services

  • Use shell/bash scripting to develop automation scripts
  • Implement provisioning of virtualized platforms
  • Develop build and deployment scripts

  • Learn Key Management
  • Discover Credential management
  • Discover Encryption techniques
  • Discover PKI/Certificates

Core Modules

  • Learn IaC principles and apply to main environment parity
  • Understand and practice CM
  • Maintain configuration parameters and apply to environment lifecycle practices

  • Development, integration, staging, and production environments
  • Learn Continuous Integration (CI) practices
  • Learn Continuous Deployment (CD) strategies
  • Understand Testing for each environment

  • Explore Modular architecture approach
  • Adapt microservice architecture to support DevOps practices
  • Discover Messaging concept between microservices
  • Learn to configure and deploy Service Mesh

  • Develop common DevOps metrics
  • Practice incident response for fielded systems
  • Adopt continuous feedback practices across DevOps pipeline

  • Apply fundamental security principles to DevOps environment and applications to be developed and deployed
  • Adapt DevOps practices into various domains like highly regulated environments
  • Implement continuous deployment for AI systems

  • Explore MLOps (Machine learning and operations) practices
  • Discover Cyber Physical systems
  • Discover Highly Regulated environments

Format

  • 6 Months
    Program
  • 145 Hours Live
    Interactive Sessions
  • Weekend classes:
    Saturday & Sunday

Sessions starting on 23 March


Hands-on Practices

  • Provisioning
  • Containerization
  • SSH/Network Traffic
  • Secure Build Practices
  • Deployment Practices
  • Container Management
  • Secure Deployment
  • Service Mesh
  • Monitoring
  • Telemetry

Tools Covered

Capstone Projects

DevOps Concepts: Infrastructure Automation, CI

Challenges faced/Improvements needed: As the devOps team, you need to work on improvements to the CI pipeline and add further automation. The below pain points have been shared with you by the dev team:

  • With frequent code releases, the code quality is not being maintained. Even if the CI build is in place, more code smells and vulnerabilities get introduced with every iteration. There is a need for stronger quality check rules to be incorporated.
  • As the deployment environment is maintained manually, it is a tedious process to provision and upgrade the servers and networks. There is a need to automate this process and connect it to the CI pipeline.
  • To ensure high availability, the deployment setup can be improved. E.g. Production setup can be replicated in multiple AWS availability zones or regions to remove a single point of failure.
  • For certain periods of time and certain seasons, it is noticed that the traffic on the user applications increases drastically and the live deployment infrastructure is unable to cope with the high demand and spikes. Hence there is a need to improve the scalability and explore automated scaling options for the deployment infrastructure.

Objectives:

Simulate the current setup with the project code provided and explore the options for strengthening and improving the pipeline to resolve the current issues faced by the team. Create a prototype for the proposed solutions and compare it with the existing setup.

Provide your analysis and observations regarding the improvements proposed w.r.t. cost, speed and code quality, and why you have chosen the particular solution/tools.

Present the solutions which are feasible to be implemented right away, and your implementation of the same. Also propose any options which can be implemented in the future to further improve the maturity of the DevOps setup and pipelines.

Probable Tools:

Jenkins, SonarQube, AWS CloudFormation, Auto Scaling, Ansible, Terraform

DevOps Concepts: DevSecOps, Containerization

Challenges faced/Improvements needed: The product owner and management team wants you to improve the maturity of the automated pipeline by focusing on security in each stage. Based on their inputs, your team has come up with the following ideas:

  • Improving code checks at static code analysis stage for code vulnerabilities to ensure fixes are done before the code is processed further by the CI pipeline.
  • Using SBOM creation and analysis tools to make sure all dependencies are checked for vulnerabilities.
  • Using container hardening techniques to make sure the docker images used/created are sufficiently secure and do not have any high-risk vulnerabilities.
  • Secure communication between K8s pods (e.g. with TLS)
  • Adding PKI certificates to administer the K8s cluster.

Objectives:

Simulate the current setup with the project code provided and explore the options for improvements planned. Create a prototype for the proposed solutions and compare it with the existing setup.

Provide your analysis and observations regarding the benefits achieved with the proposed solution and why you have chosen the particular solution/tools.

Present the solutions which are feasible to be implemented right away, and your implementation of the same. Also propose any options which can be implemented in the future to further improve the maturity of the DevOps setup and pipelines.

Probable Tools:

Jenkins, Docker, Kubernetes, Syft, Snyk, Dockle, Docker Bench Security, Vault

DevOps Concepts: Continuous Monitoring

Challenges faced/Improvements needed: The operations teams who are supporting the application have informed your team that they are unable to easily figure out any issues or failures in the microservice deployments and need better tools/solutions for continuous monitoring.

The product team has also come to you requesting to create some dashboards which will give them a better visualization of how the application is performing which will help them make better business decisions.

Your team has decided to create a solution to setup continuous monitoring for your K8s app deployment, keeping in mind the following points:

  • The ops team should be able to collect logs, traces and manage metrics for your production infrastructure (servers), containers, app endpoints and databases etc.
  • It should be possible to troubleshoot complex interactions, by tracking the progress of a request or transaction through the microservice environment.
  • A user-friendly visual dashboard should be available to make it easy for ops to view, filter, analyze important metrics and set up alerts.
  • Security monitoring should be enabled to ensure any potential threats to the infrastructure are detected.
  • It should be possible to set up custom application logs and view usage statistics and other KPIs in graphical format so that the product team can get useful business metrics.

Objectives:

Simulate the current setup with the project code provided and explore the options to fulfill the requirements given by the ops and product teams. Create a prototype of the proposed solutions and provide your analysis and observations regarding the cost, capabilities etc. based on which you have chosen the particular solution/tools.

Probable Tools:

Kubernetes, Istio, Prometheus, Grafana

DevOps Concepts: Continuous Delivery for Microservices based Architecture

Challenges faced/Improvements needed: As the code is now being split into multiple code projects, you need to update the version control repository and CI build pipeline connected to it Also, with frequent code releases, the code quality is not being maintained. Even if the CI build is in place, more code smells and vulnerabilities get introduced with every iteration. You need to strengthen and improve the build process considering the following points:

  • There is a need for stronger quality check rules to be incorporated by creating custom quality profiles and quality gates.
  • Code coverage of unit tests should be monitored and the build should not pass if coverage is below 80%
  • Include linting as part of the dev process to test and fix any code quality issues at the developer end through the IDE before it goes through the CI build.
  • Add performance/load tests as part of your CD pipeline
  • As the test environments are maintained manually, it is a tedious process to provision and set up the servers for every release. There is a need to automate this process and connect it to the CICD pipeline

Objectives:

Simulate the current setup with the project code provided and explore the options for strengthening and improving the pipeline to resolve the current issues faced by the team. Create a prototype to the proposed solutions and compare it with the existing setup.

Provide your analysis and observations regarding the improvements proposed w.r.t. cost, speed and code quality, and why you have chosen the particular solution/tools.

Probable Tools:

GitHub, Jenkins, JaCoCo, Cobertura, Coverage.py SonarQube, SonarLint, Ansible, JMeter

DevOps Concepts: Disaster Planning and Recovery

Challenges faced/Improvements needed: As the application release is planned in the near future, your team has been advised to ensure that you have the necessary preparedness in case of disaster. It should consider the following requirements:

  • Setup deployments in 2 AWS regions for high availability
  • You must be able to configure scheduled backups, trigger ad-hoc backups
  • The recovery plans should allow to restore from backups with minimal interruption to services, especially the primary/critical ones
  • In the worst case scenario, you should be able to migrate the cluster to a new cloud or on-premise environment.

Objectives:

Explore the 3 different options by which you can do a redeployment:

  • manual redeployment
  • scripted redeployment
  • fully automated deployment

Prototype and compare the solutions you have selected w.r.t. capabilities, time, cost, manual effort needed. Which recovery strategy will your team be able to successfully implement right now, and what can be implemented as future steps to be better prepared in case of a disaster?

Probable Tools:

Kubernetes, Argo Rollouts, Velero

DevOps Concepts: Disaster Planning and Recovery

Challenges faced/Improvements needed: Recently your product owner has asked the dev team to create multiple versions of some new features which need to be A/B tested with the end users before they decide on the final version. For this purpose, they have asked your team to look into:

  • Implementing Canary deployments so that the multiple versions can be tested with some percentage each of the end users before being rolled out to all users.
  • Creating a consolidated view of some business KPIs and performance metrics to understand the usage statistics for a particular feature version, preferably in a UI dashboard form.
  • Setting up a rollback strategy to scale down a version update in case the release was unsuccessful or the canary test did not produce the expected result.

Objectives:

Simulate the current setup with the project code provided and explore the options for implementing the tasks requested by the product owner. Create a prototype to the proposed solutions and compare it with the existing setup.

Provide your analysis and observations regarding the deployment process, infrastructure setup/tool updates proposed w.r.t. capabilities, cost, visibility and why you have chosen the particular solution/tools. Will the proposed solution be robust and flexible enough if another type of deployment strategy needs to be adopted by the business?

Probable Tools:

Kubernetes, Istio, Argo Rollouts

DevOps Concepts: DevSecOps, Microservices architecture

Challenges faced/Improvements needed: The product owner and management team wants you to improve the maturity of the automated pipeline by focusing on security in each stage. Based on their inputs, your team has decided to incorporate improvements at various stages:

  • Improving code checks at static code analysis stage for code vulnerabilities to ensure fixes are done before the code is processed further by the CI pipeline.
  • Using SBOM creation and analysis tools to make sure all dependencies are checked for vulnerabilities.
  • Using container hardening techniques to make sure the docker images used/created are sufficiently secure and do not have any high-risk vulnerabilities.
  • Secure communication between K8s pods (e.g. with TLS)
  • Adding PKI certificates to administer the K8s cluster.

Objectives:

Simulate the current setup with the project code provided and explore the options for improvements planned. Create a prototype for the proposed solutions and compare it with the existing setup.

Provide your analysis and observations regarding the benefits achieved with the proposed solution and why you have chosen the particular solution/tools.

Present the solutions which are feasible to be implemented right away, and your implementation of the same. Also propose any options which can be implemented in the future to further improve the maturity of the DevOps setup and pipelines.

Probable Tools:

Jenkins, Docker, Kubernetes, Syft, Snyk, Dockle, Docker Bench Security, Vault

Challenges faced/Improvements needed: Your team has decided to move to a pure GitOps setup and wants to decommission the Jenkins server to make the CICD workflow simpler and easy to manage from one platform.

All the existing automation and quality checks implemented should be migrated to the Git server. The pipeline configuration should also be available as code so that it is easy to update, replicate and maintain.

Apart from that it would be good to have infrastructure automation added to the pipeline to set up and maintain the production environment.

Objectives:

Simulate the current setup with the project code provided and explore the options for the migration/update planned to the setup. Create a prototype for the proposed solutions and compare it with the existing setup.

Provide your analysis and observations regarding the benefits achieved with the proposed solution and why you have chosen the particular solution/tools.

Probable Tools:

GitHub, Jenkins, GitLab, Terraform

Program Outcomes

Upon successful completion, participants receive the esteemed certification from Carnegie Mellon's School of Computer Science, globally recognized for its excellence. This certification equips individuals to:

  • Build expertise in worldwide DevOps methodologies and comprehend its business implications.
  • Develop competence in employing diverse DevOps tools and technologies.
  • Comprehend and incorporate security measures throughout the entire DevOps lifecycle.
  • Acquire knowledge and hands-on experience in cloud computing and the principles of Infrastructure as Code.

TalentSprint Career Accelerator Program

Supports program alumni looking for new Career Advancements

Professional
Development

  • Resume Building
  • LinkedIn Profile Makeover

Network with Peers
and Alumni

  • Knowledge Exchange Sessions with Business or Tech leaders
  • Lifetime Membership to TalentSprint Alumni Network

Access to Career
Opportunities*

  • 6 months Premium Membership of IIMJobs or Hirist
  • Job Alerts through TalentSprint Alumni Network

*Terms & Conditions apply

Participant Profile

Experience

From Top Organizations


Find out why participants want to join this program

Who is this program for?

  • Professionals passionate about DevOps principles and practices
  • Software Developers, System Administrators, Operations and IT Managers seeking to implement DevOps practices
  • QA engineers and testers interested in understanding and integrating testing processes
  • DevOps and Cloud Computing professionals, aspiring to upgrade their skills and global certification.

Eligibility

  • B.E / B.Tech / M.E / M.Tech / BCA / MCA or equivalent degree, preferably in Computer science / information technology or other related domain
  • Professional experience in software development/IT Operations.

DevOps Training Fees in US

If you are confident that the program is the right fit for you, apply now.

Fee*

Application Fee $25
Program Fee
$3000

Nominate your employees
to avail special benefits

Apply Now

*Fees paid are non-refundable and non-transferable.

leap

Advantages of DevOps Certification Training Course

According to Allied Market Research, the global DevOps market size was valued at $6.78 billion in 2020 and is projected to reach $57.90 billion by 2030, registering a Compound Annual Growth Rate (CAGR) of 24.2% from 2021 to 2030.

Amidst the growing market of DevOps, there is an increasing demand for skilled and qualified DevOps professionals. This is where the Advanced DevOps Certification Training Course comes into the picture. Let’s explore the advantages!

  • Enhances workplace proficiency in technologies and processes, elevating skills in key tools like Jenkins, SonarQube, AWS CloudFormation, Auto Scaling, Ansible, and Terraform for improved outcomes
  • Mentorship from the experts and practitioners of the field
  • Having a certification can multiply your earning potential as a DevOps professional
  • Better chances of securing your dream job or transitioning to a new career in IT

About Talentsprint

Frequently Asked Questions

The future of DevOps is exceptionally promising, as an increasing number of companies are adopting this methodology. DevOps methodologies are themselves changing with new tools and technologies coming in, thus steering the future of modern business and tech enterprises. Companies embracing the DevOps philosophy have experienced enhanced speed at which both applications and support services are delivered. For instance, global tech organizations, such as Google, Salesforce, Facebook, and Netflix, are one of the early adopters of DevOps – although their own versions have upped their operations and simultaneously continue to extend excellent customer service.

While we witness a steadfast growth in DevOps adoption, the trend also increases the demand for qualified professionals with DevOps expertise. Leading job listing portals like Indeed.com witnessed a 75% rise in listings of DevOps jobs, while LinkedIn reports a 50% increase in mention of DevOps as a skill. It is also observed that a DevOps Engineer earns about 25-35% more than a Software Engineer with similar experience, making DevOps one of the highest-paid groups in the IT sector.

The Advanced Certificate Program in DevOps aims to prepare aspirants for this DevOps future. Designed and developed by the School of Computer Science at Carnegie Mellon University (CMU), this 6-month program is delivered by Len Bass, Hasan Yasar, and Joseph Yankel, the distinguished and globally recognized CMU faculty. The program is delivered in association with TalentSprint for DevOps aspirants in the APAC region.

The Advanced Certificate Program designed by the School of Computer Science at CMU enables professionals with

  • Learning from DevOps Legends: Benefit from mentorship by pioneers in DevOps - Len Bass, Hasan Yasar and Joseph Yankel, the distinguished faculty of CMU.
  • High Impact Format: Leverage the pedagogy of faculty-led experiential learning supported by self-learning content, and hackathons.
  • Certificate from #1 CS School: Get certified by the world leader in computing research and education, School of Computer Science, CMU.

  • You can become a DevOps leader in your organization
  • You can accelerate your career as a DevOps specialist
  • You will be an elite Executive Alumnus of CMU and network with a global peer group of DevOps professionals
  • You will earn a globally recognized certification from CMU
  • You will have access to TalentSprint Career Accelerator to boost your career acceleration efforts.

The program welcomes all tech professionals interested in exploring a career in DevOps, but it is ideal for the following profiles:

  • DevOps Engineers
  • Cloud Computing professionals practicing AWS, Azure, etc
  • Software Developers
  • Operation Managers / Project Managers / Product Managers
  • Automation Engineers / QA / Testers

The program will be taught by the esteemed CMU Faculty, globally recognized for advancing the research and practice of DevOps. To meet your future mentors, visit here.

DevOps refers to integrating software development (Dev) with operations (Ops) personnel to manage the entire application development life cycle: development, testing, deployment, and monitoring. It also integrates cultural philosophies, practices, and tools to accelerate application and service delivery, allowing organizations to refine products faster than traditional approaches. This agility enhances customer service and boosts competitiveness in the market.

DevOps engineers streamline complexity, bridging the gap between rapid application changes and reliability maintenance. They unify and automate processes, combining code, application maintenance, and management to align development and operations goals in an agile environment.

The DevOps field is experiencing rapid growth, offering numerous job opportunities for skilled professionals in the United States.
These are some common DevOps roles:

  • DevOps Architect
  • Site Reliability Engineer (SRE)
  • Automation Engineer
  • Release Manager
  • DevOps Consultant
  • Cloud Architect
  • Security Engineer

To land a DevOps engineer job, showcasing your expertise in automation, continuous integration, and deployment tools is imperative to get recognized by potential employers.Moreover, highlighting your experience with cloud platforms such as AWS or Azure can offer youan edge over your competitors. Demonstrate strong scripting skills (e.g., Python, Bash) and proficiency in containerization (Docker, Kubernetes).

Apart from these, emphasize collaboration, communication abilities, and a track record of improving development and operational workflows. Stay updated on industry trends and certifications. Network with professionals and leverage your experience for a successful transition.

According to Glassdoor, the average annual salary of a DevOps professional in the United States is $1,22,859. The salary of a DevOps professional can vary based on factors such as experience, location, company size, and specific skills.

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