main image

DevOps Certification

DevOps Course

Price: 10,800.00 $
Course Starts
Academic Hours
Meetings per Week
Practical Training in our Development Department
The DevOps program focuses on providing professional training for the role of a DevOps engineer. It offers comprehensive knowledge in development and operations, coding, infrastructure management, system administration, and tools specific to DevOps (e.g., Jenkins, Docker, Kubernetes, Ansible, Terraform). The course also provides a deep understanding of cloud architecture (AWS, GCP, Azure), source control management, conducting code reviews, writing unit tests, and familiarity with agile principles. As a software house that provides DevOps services to a variety of companies, both domestically and internationally, and specializes in implementing DevOps practices within companies and performing migration of companies to the cloud, we understand the requirements of our clients and employers. We are well aware of the technical knowledge and popular tools in the DevOps field, as well as the need to acquire practical experience with them. We know what it takes to position you in the industry as a DevOps professional and a key figure in automation. Accordingly, we have crafted the ultimate curriculum for a DevOps Engineer. This comprehensive program, unique in the country, encompasses all the necessary tools for industry work. Our universal "toolbox" is accompanied by practical specialization with our development department. Carrying out real DevOps tasks in tandem with our company's engineers will enable you to break into the field, grow, and work as a DevOps Engineer.

What Is DevOps?

DevOps is a fusion of two concepts: Development and Operations.
  • Development involves the department responsible for creating the product, typically based on marketing requirements, as well as bug fixing.
  • Operations involves the department responsible for the product's production process, system installation, version management, quality testing, its release to the customer and its integration into the customer's environment.
Up until the mid-2000s, companies were primarily developing software for desktops – programs that ran on customers' personal computers, typically written in languages like C++, Java, or .NET, without a browser. With every software update, customers had to download the software from the manufacturer's website, install it on their computers, and run it. In the last two decades, software development has shifted to the cloud. Most software now runs on the companies' servers (which are often cloud-based). This shift is enabled by browsers, using technologies like JavaScript and frameworks like Angular or React on the client side, and server-side environments (e.g., Node.js), allowing the software to be run on the server and accessed by users. As a result, software development methodologies have also evolved. The principles guiding DevOps include speed, availability, reliability, security, and the software development life cycle. DevOps started as a cultural and organizational development methodology focused on collaboration between two departments: the development department (software development) and the operations department (responsible for delivering code versions). By enhancing and optimizing communication between these departments, DevOps improved organizational productivity through the integration of well-defined processes, involving continuous and iterative development, continuous integration testing, and ongoing monitoring of software applications throughout the development lifecycle.  

What will you cover in our DevOps programs:

The subject of DevOps requires a comprehensive understanding of a wide range of areas, which is why the DevOps course at our company is thorough and professional:
  • Practical knowledge and experience in Linux administration for operating system environments — Linux Administration.
  • Configuration management and script writing: Bash scripting as well as software development in Python.
  • Familiarity with and usage of automation tools for CI/CD processes like GitHub and Jenkins.
  • In-depth Networking course providing a complete understanding of TCP/IP, using sniffers (such as Wireshark) to troubleshoot network issues.
  • Working with databases — SQL.
  • Understanding of version control processes — Git.
  • Docker container usage.
  • Utilizing Kubernetes for efficient infrastructure management.
  • Proficiency in Ansible for optimal and streamlined management of a large number of servers.
  • Learning AWS cloud services including S3, EC2, Route53, and more.
  • Using Terraform for "Infrastructure as Code" methodology.
  • Finally, the course will cover a set of monitoring tools including Prometheus and Grafana.
This comprehensive curriculum ensures that graduates of the course become well-equipped to tackle the diverse challenges of the DevOps field with practical skills and knowledge across various areas.

How to become a DevOps engineer

There is, currently, a significant demand for DevOps professionals. It is one of the most sought-after fields in the industry as well as in the global market. As a company that provides DevOps services to clients, we receive tremendous interest in implementing DevOps methodologies in organizations and facilitating their transition to the cloud. There is indeed a high demand for DevOps professionals at our clients' sites. DevOps engineers are essentially the ones who connect all aspects of project development. A DevOps professional utilizes cloud tools to ensure swift and efficient project management, using the following:
  • Adapting the product in real-time to industry requirements and needs.
  • Employing Agile methodologies for project management.
  • Using cloud-based DevOps tools such as Docker, Kubernetes, Ansible, Terraform, and more (each of these topics constitutes an independent course in the DevOps program).
  • Implementing automation through programming languages, scripting languages, specialized tools, and software.

Setting up a DevOps infrastructure

The establishment of a DevOps infrastructure is a process in which both technological foundations and organizational processes are put in place to support the development and deployment of software efficiently and swiftly. Through this approach, the various roles within development and operations teams merge to improve processes, automation, reliability, and support for engaged teams. To establish a DevOps infrastructure, there are several crucial steps that can be undertaken:
  • Planning and Design: It's important to plan the required technological infrastructure for DevOps processes. This includes evaluating the necessary tools for source code management, testing, automation, and analysis.
  • Creating a Development Environment: Establish an efficient development environment that enables development teams to work quickly and steadily. This could involve development servers, version control systems, unit testing tools, and more.
  • Automation: Develop and implement automation processes that allow for automatic and fast execution of tasks, such as software building, testing, integration, and deployment.
  • Source Code Management: Examine and use code management tools like Git, which enables collaborative work and version control.
  • Build and Deployment: Set up an automated process for software building and deployment to production and staging environments. This enables rapid error detection and correction, ensuring stable releases.
  • Infrastructure Management: Examine and construct infrastructures for both development (dev) and production (prod) environments. Consider infrastructure management processes, including updates, issue management, and quick recovery.
  • Monitoring and Logs: Establish monitoring and logging systems that provide detailed information about the software and infrastructure activities. This may include automated alerting and issue notification. By thoroughly and efficiently establishing the DevOps infrastructure, development timelines can be improved, product quality enhanced, and software deployment and support processes optimized.

Dmitri Danilov
Head of DevOps and Automation

  • B.Sc. in Computer Science from Hadassah Academic College, Jerusalem, IL
  • Head of the DevOps group in the Development department and instruction leader
  • Over five years experience in embedding automation and DevOps for our clients
  • Practical Training Supervisor

teacher-image-Dmitri-Danilov

DevOps Curriculum

The DevOps Certification program is made up of a number of courses (modules).‎
We know that each of us arrives with a different background and level of knowledge. In order to tailor the content to best fit your needs, you can choose the track that is most suitable for you:‎
DevOps Certification studies at the college are currently conducted online.‎

Comprehensive Track

This track includes all the courses in the program and is designed to make you an expert in the field.‎

  • Designed for students with little to no experience.
  • Requires 9 to 12 months to complete.‎
  • 480 academic hours.
Standard Track

This track includes only the courses and content specifically designed for the DevOps Certification program.‎

  • Designed for students with prior knowledge in the high-tech industry.
  • Requires 6 to 7 months to complete.
  • 270 academic hours.
Self-Designed Track

This track allows you to select only the specific courses and content that you are interested in and wish to complete.‎

  • Designed for students with experience in the field.
  • Requires 1 to 3 months to complete, depending on the courses chosen by the student.
CI/CD
Jenkins 30 academic hours ok-full-icon Comprehensive Track ok-standard-icon Standard Track

Jenkins is an open-source automation server used for automating the processes of building, testing, and deploying computer software. It is a popular and widely used tool in the world of software development. This Jenkins course will provide you with the necessary knowledge to understand Jenkins and use it to create products more efficiently and quickly.

With Jenkins, a DevOps professional can create and build an automated process that includes various stages in the software development cycle. This process includes building the software (build), testing it (testing), integrating the code (integration), and achieving zero downtime in its operational environment.

Docker Containers 30 academic hours ok-full-icon Comprehensive Track ok-standard-icon Standard Track

The Docker course is suitable for a wide range of individuals in the industry and development field. This includes software developers, system and infrastructure administrators, infrastructure and support managers. The Docker course provides the knowledge and tools required for efficient management and utilization of containers in development and operational processes.

Docker is a system that allows installation and running of applications within containers, and is essentially a platform for executing applications within a virtualized environment. With Docker, you can create, run, and manage applications in the production environment using Docker's automated correction capabilities and the creation of lightweight, scalable, and portable isolation environments.

Learning Docker is essential in the DevOps development path as it is a central tool in continuous integration/continuous deployment (CI/CD) processes, facilitating the constant running and deployment of code, as well as in infrastructure management.

Kubernetes 30 academic hours ok-full-icon Comprehensive Track ok-standard-icon Standard Track

The Kubernetes course is designed to equip individuals with the knowledge and skills required to effectively manage and orchestrate containerized applications in dynamic and complex environments. Kubernetes, often referred to as K8s, is an open-source container orchestration platform that empowers organizations to efficiently deploy, scale, and manage applications seamlessly.

In this comprehensive course, participants will delve into the core concepts of Kubernetes, learning how to create, deploy, and manage containerized applications with precision. Students will gain hands-on experience with Kubernetes architecture, understanding its components and their interactions, from pods and services to deployments and replicas.

Ansible 25 academic hours ok-full-icon Comprehensive Track ok-standard-icon Standard Track

Ansible is an open-source code that provides automation tools for deployment, configuration management, application deployment, and many other manual IT processes. In contrast to simpler management tools, Ansible users (such as system administrators, developers, and architects) can utilize Ansible automation to install software, perform daily task automation, deliver infrastructure, enhance security and compatibility, troubleshoot systems, and propagate automation across the entire organization.

Zabbix | Prometheus 25 academic hours ok-full-icon Comprehensive Track ok-standard-icon Standard Track

The Zabbix and Prometheus course offers comprehensive training in open-source monitoring solutions. Learn to set up and configure Zabbix and Prometheus for effective monitoring of networks, servers, virtual machines, and cloud services. Gain hands-on experience in creating dashboards, alerts, and custom metrics. This course equips IT professionals with the skills to ensure reliability and performance in complex environments.

Automation Devops
Linux Admin 50 academic hours ok-full-icon Comprehensive Track ok-standard-icon Standard Track

In this course, you will learn how to seamlessly operate a Linux system and techniques to maximize your utilization of Linux's capabilities. The curriculum is divided into two sections.

The first part of the course will cover installation, file management, and permissions. By the end of this part, you will be proficient in managing the system seamlessly.

In the second part of the course, you will delve into system configurations, users management, network cards, Linux kernel management, and more.

Linux is an open-source, free operating system known for its relatively high security. It provides software testers and developers with efficiency and freedom of action. The vast majority of software applications, such as servers, applications, databases, or internet services, are deployed on Linux operating systems. Therefore, it is critical for software testers to possess knowledge and experience in Linux. This course equips you precisely with such expertise.

Bash Scripting 25 academic hours ok-full-icon Comprehensive Track
Bash is a highly convenient and efficient shell (command line interface) environment. Developed by GNU contributors, it is essentially the default shell in Linux/GNU systems, serving as a vital foundation for the system. Like any shell, it encompasses a robust command system as well as an efficient scripting language.
SQL 30 academic hours ok-full-icon Comprehensive Track

In this course, you will learn and practice SQL (Structured Query Language) and gain thorough familiarity with MySQL. The goal of the course is to learn how to communicate and perform various operations with the database.

Most software operates with large amounts of data in the background. Nowadays, this data can be stored in different types of databases, like MySQL or Oracle in the backend. During software testing, some of this data needs to be verified, for example, to check if the relevant data is stored correctly in the databases. Therefore, knowledge of database basics and SQL queries is essential.

In the course, we will cover topics such as SQL Formal Definitions, The Relational Model, SQL Key Notes, SQL Properties, SQL User Objective, Data Definition Language, and more.

Python 90 academic hours ok-full-icon Comprehensive Track

The focus is on Python 3, aiming to provide the knowledge and experience required for programming real-world applications in an object-oriented industry. You will learn how to develop software using Python. You will be taught techniques and appropriate tools to professionally develop high-level Python programs suitable for high-tech companies. This is a very practical course in which we will also be using circuit boards.

Python is currently considered one of the most popular and sought-after programming languages in the IT industry. Its popularity and widespread use in various industry projects make Python one of the most demanded programming courses. The high demand and diverse employment opportunities make Python highly beneficial to specialize in for a rewarding professional career with multiple growth opportunities.

Networking 40 academic hours ok-full-icon Comprehensive Track

Computer networking at the CCNA level: This course provides extensive knowledge in both theoretical and practical aspects of installation, maintenance, configuration, understanding of routers and switches, operation, network troubleshooting, and familiarity with computer networking protocols at the CCNA level. You will become familiar with the fundamental concepts and devices in networking, aspects and layers of LANs/WANs and the structure and functioning of architectures and protocols used in IP networks.

GIT (Version Control) 25 academic hours ok-full-icon Comprehensive Track

Git is an open-source version control system that serves as a tool for managing code versions and the software development process. Its primary purpose is to help developers efficiently manage code and track changes in software files.

In this course, you will learn the core features of Git, workflow techniques, and methods to undo changes or maintain multiple project versions. Additionally, you'll discover how to collaborate effectively with other teams and developers. Designed for programmers seeking the best and most suitable way to manage code development versions, the course covers essential workflow principles, core features, version control, collaboration, and more.

Monitoring And Cloud
Grafana 15 academic hours ok-full-icon Comprehensive Track ok-standard-icon Standard Track

Grafana is a popular open-source platform used for visualizing and analyzing data from various sources, including databases like MySQL and MongoDB. It offers a wide range of visualization options such as tables, graphs, charts, and more, making it an essential tool for monitoring and analyzing data in different contexts.

HELM 10 academic hours ok-full-icon Comprehensive Track ok-standard-icon Standard Track

Helm is a package manager for Kubernetes that helps you define, install, and manage applications and resources within a Kubernetes cluster. It allows you to package applications and their dependencies into a single unit called a "chart," which can be easily shared, deployed, and managed using Helm commands. With Helm, we configure, install, and upgrade Kubernetes applications.

Terraform 20 academic hours ok-full-icon Comprehensive Track ok-standard-icon Standard Track

Terraform is an open-source tool that focuses on infrastructure management as code. It treats infrastructure as a versioned code file, allowing maintenance and version control using code, much like a version control system. The goal of Terraform is to enable centralized management and automation of infrastructure through accessible and maintainable infrastructure code.

AWS 35 academic hours ok-full-icon Comprehensive Track ok-standard-icon Standard Track

The course is designed to help you gain a deep understanding of the architectural principles and services of Amazon Web Services (AWS). You will learn how to design and deploy AWS cloud applications using recommended best practices endorsed by Amazon.

Admission Requirements

  • Knowledge and understanding in computers.
  • A suitability test will be given to experienced candidates only. Candidates with a background in computers and development.
  • Candidates without experience or background may be admitted based on a passing score on an internal introductory course exam in Computer Architecture.
  • Candidates without any background or experience can opt to participate in a short preparatory course, which will be deducted from the full DevOps bootcamp fee.
  • Personal interview.

Who is the online DevOps course suitable for?‎

  • Candidates without a background - Our study program is constructed from foundational courses and is suitable for individuals without experience as well. This is dependent on the condition that the candidate successfully passes the interview and/or a short introductory course in Computer Architecture.
  • Candidates with experience in Linux or a development background. Software developers, IT professionals, or automation developers with experience seeking to streamline their work and integrate into the DevOps field.
  • Candidates with an IT background and experience in fields such as production, cloud, Linux, and web-based systems — computer technicians, network administrators, experienced individuals, or those with knowledge in the infrastructure domain.
DevOps Certification - Real Time College USA

Certifications and Credentials

Requirements for eligibility for the certificate:

  • Participation in at least 80% of the course hours
  • Submission of a final project / final exam with a score of 70 and above
  • Obligation to submit course assignments, including exercises, homework, and projects

Upon successful completion of the DevOps Bootcamp, you will be awarded a DevOps Certification by RTG. This certificate will attest to your high level of knowledge and professionalism.

Why Study DevOps at RTG

private lessons
repeat course
tuition
recorded lessons

Paying Tuition for DevOps

Pay your tuition in advance through self-payment or with the help of your employer.‎

Numerous employers provide financial assistance for coding programs, so it is advisable to inquire with your employer regarding tuition support.‎

Some students turn to personal loans to fund their coding education.

A diverse range of personal lending choices is at your disposal for careful consideration and assessment. Should you opt for a personal loan, be sure to select the one that aligns most effectively with your individual circumstances and financial goals.‎

Your eligibility for various government aid and scholarship programs may vary depending on your location.

As such, it is recommended that you explore the options and inquire about any scholarships or financial aid opportunities available.‎

FAQ

After completing the DevOps training program, you can integrate into a wide variety of companies in the IT industry. This includes leading companies in the market, private companies, startups, and more. There is a significant demand today for skilled DevOps professionals with experience in working with servers and advanced tools that can enhance processes and streamline all aspects of software development and maintenance.

The DevOps training program includes hands-on practical work in the form of homework assignments, exercises, and the creation of a diverse portfolio of projects. This is aimed at gaining practical experience and being prepared to start working in the IT industry immediately upon completing the training program.

A DevOps team consists of developers and IT operations professionals who collaborate throughout the entire product lifecycle to enhance the speed and quality of software deployment. This represents a new way of working, a cultural shift that has significant implications for the teams and organizations they work in.

Under the DevOps model, development and operations teams are no longer 'silos'. Sometimes, these two teams merge into one where engineers work across all phases of the application's lifecycle—from development and testing to deployment and operation—possessing a range of cross-functional skills.

DevOps teams utilize automation and process acceleration tools to increase reliability. The DevOps toolchain assists teams in tackling important DevOps principles, including continuous integration, continuous delivery, automation, and collaboration.

DevOps values are occasionally implemented on teams beyond development. When security teams adopt a DevOps approach, security becomes an active and integrated part of the development process. This is referred to as DevSecOps.

  • Continuous Integration — Continuous Integration is the practice of automating the integration of code changes in a software project. It allows developers to frequently merge code changes into a central repository where builds and tests are executed. This helps DevOps teams to address bugs more swiftly, improve software quality, and reduce the time taken to verify and release new software updates.
  • Continuous Delivery — Continuous Delivery extends Continuous Integration by automatically deploying code changes to a testing/production environment. It follows a continuous delivery pipeline, where automated build, testing, and deployments are scheduled as a single workflow iteration.
  • Status Awareness — Critical to every member within an organization is having access to the data they need to perform their tasks as efficiently and swiftly as possible. Team members need to be alerted to deployment pipeline failures, whether system-wide or due to failed tests, and receive timely updates on the health and performance of applications running in production. Metrics, logs, tracing, monitoring, and alerts are all vital sources that feedback teams need to be informed.
  • Automation — Automation is one of the most crucial DevOps practices, enabling teams to move much faster through the software development and deployment process with high quality. With automation, simple actions like pushing code changes to a source code repository can trigger a build, test, and deployment process that significantly reduces the time taken for these steps.
  • Infrastructure as Code (IaC) — Whether your organization has on-premises data centers or is fully cloud-based, the ability to rapidly and consistently provide, configure, and manage infrastructure is key to a successful DevOps adoption. Infrastructure as Code (IaC) goes beyond scripting infrastructure configuration and treats your infrastructure definitions as real code: using version control, code reviews, testing, and so forth.
  • Microservices — Microservices is an architectural technique where an application is built as a collection of smaller, independent services that can be deployed and operated autonomously from one another. Each service has its own processes and communicates with other services through an interface. This separation of concerns and self-contained functionality enables DevOps practices like continuous delivery and continuous integration.
  • Monitoring — DevOps teams monitor every stage of the development lifecycle, from planning, development, integration and testing, to deployment and operations. This enables teams to react to customer experience degradation swiftly and automatically. Importantly, it allows teams to 'shift left' to earlier stages in development and minimize broken production changes.

  • Speed — DevOps practicing teams release products more frequently, with higher quality and stability. In fact, the 2019 DORA State of DevOps Report found that elite teams deploy 208 times faster and recover 106 times faster than low-performing teams. Continuous delivery allows teams to build, test, and deliver software with automated tools.
  • Improved Collaboration — The foundation of DevOps is a culture of collaboration between developers and operations teams, sharing responsibilities and integrating work. This makes teams more efficient, saving time previously spent on handoffs and creating code tailored to the environment it operates in.
  • Rapid Deployment — By increasing the frequency and speed of deployments, DevOps teams enhance products rapidly. Gaining competitive advantage is possible through swift release of new features and bug fixes.
  • Quality and Reliability — Work methods like continuous integration and continuous delivery ensure changes are functional and secure, thus improving the quality of software products. Monitoring helps teams stay updated on performance in real-time.
  • Security — Through the incorporation of security into continuous integration, continuous delivery, and continuous deployment, DevSecOps becomes an active and integrated part of the development process. Security is built into the product through active security review and security testing in agile development and DevOps workflows.

Currently, DevOps classes are held online.

Salary Info DevOps

The estimated total pay for an Entry Level Devops Engineer is $102,810 per year in the United States area, with an average salary of $90,216 per year.

Source: glassdoor.com

We would be happy to advise, guide, and answer any questions.
All rights reserved Real Time Group ©