DevOps Engineer Course

DevOps is short for “development” and “operations”. It’s a collaborative approach to software development or IT operations. It’s a methodology based on communication and collaboration within an organization. It relies in particular on the use of an iterative software development method, on automation, and on the deployment of programmable infrastructures. To adopt this approach, an organization may have to change its entire software delivery chain, services, roles and IT tools. A DevOps environment is generally based on continuous integration (CI) and continuous deployment (CD) tools. Task automation is also a key component. Real-time monitoring and incident management systems and collaboration platforms are also widely used. The same applies to cloud computing, microservices and software container technologies. The aim of DevOps is to improve the software development cycle. The process consists of successive steps: plan, code, build, test, relax, deploy, operate, monitor. These steps are repeated in an infinite loop. The software is continually updated to meet expectations. Updates are tested in containers, then deployed in production. In the event of a problem, traceability ensures rapid intervention.

The DevOps Engineer has a dual role: he or she is a developer and a system administrator.

They work with developers and IT staff to oversee different versions of code, combining an understanding of engineering and coding. From creating and implementing new software to analyzing data to improve existing software, the DevOps Engineer aims to increase the productivity of his company. They deal with the software development lifecycle and are familiar with the various automation tools used to develop digital pipelines.

Software projects within a company often run into the same problems. Development takes too long and the software doesn’t live up to expectations. DevOps can remedy these problems, saving considerable time and ensuring that negative feedback is taken into account immediately. The communication between different IT teams is also improved. Since its creation in 2009 by Patrick Debois, DevOps has enjoyed a boom worldwide. Thanks to its many advantages, this methodology is being massively adopted by companies. DevOps is particularly useful for Data Science projects.

The DevOps methodology has come a long way since its inception, and continues to expand. New tools and technologies have emerged to meet demand. Companies are adopting this philosophy to stay competitive. In addition, the Covid pandemic triggered a surge in digital transformation and led many organizations to turn to DevOps. Many companies of all sizes and sectors are adopting DevOps worldwide. As a result, DevOps skills are in high demand. The job of DevOps Engineer is currently one of the most sought-after in IT. Organizations need experts to implement best practices.

To become a DevOps expert, opt for the DevOps training course from DataScientest.
The program covers the code repository platforms GitHub and GitLab, as well as the containerization tools Docker and Kubernetes.

At the end of the course, you’ll have all the skills you need to become a DevOps Engineer.
Our course can be taken as an intensive Bootcamp (11 weeks), or as a Continuing Education (11 months). It consists of 85% individual coaching on our Cloud platform, and 15% Masterclasses.

A DevOps engineer, Machine Learning engineer, Data Engineer or any other role using the DevOps method needs to have software development skills, but also operations skills such as infrastructure configuration.

To adopt this development method, you need to master Cloud Computing, software containers and continuous development/deployment technologies.

It is imperative to master code repository platforms such as GitHub and GitLab. These platforms enable multiple developers to collaborate on code, with the ability to revert to previous versions when needed.

This is a major component of a CI/CD pipeline, as validated code changes activate the next steps in the process, such as static code analysis or testing.

There are also CI/CD engines such as Jenkins, GitLab and CircleCI. These tools enable DevOps teams to validate and deliver applications to end-users in an automated way as development progresses.

Containers enable software to be tested in an isolated environment. They are very useful for working on code changes. The main containerization tools are Docker and Kubernetes.

Finally, Cloud environments are widely used for DevOps, particularly for scaling and deployment. AWS and Microsoft Azure are the most popular Cloud providers, and also offer CI/CD services.

The DevOps system administrator automates the deployment of infrastructures on a private, public or hybrid cloud.
When working for a software publisher or in an IT department with teams of developers, the DevOps system administrator deploys applications on a continuous basis.

They supervise the services deployed and deal with any alerts raised.

To automate the deployment of cloud infrastructures, the DevOps system administrator automates the creation of servers using scripts, configures and connects them together, and then uses an Ansible-type platform to configure and monitor deployment.

When in charge of deploying an application on a continuous basis, in conjunction with the development teams, he prepares test and pre-production environments.

The DevOps Engineer prepares the various data servers and associated storage, as well as the containers for the application. He oder she then migrates the data and deploys the application in the pre-production environment.

The DevOps Engineer is in constant contact with the development team to correct any malfunctions discovered during the various test phases. Using a Kubernetes-type platform, he deploys the application and its successive updates on the production environment.

The DevOps system administrator supervises the infrastructures and applications he has deployed. To do this, he defines the indicators to be monitored and installs and configures a supervision solution. When an anomaly is detected or an alert is raised, the problem is corrected or rectified.

In order to solve a configuration problem, understand the cause of a malfunction or install a new tool, he exchanges information on professional community forums, possibly in English.

Most technical documentation is written in English, so DevOps system administrators need to be able to read it to find the information they are looking for, and interpret the advice given correctly. This corresponds to level B2 of the European framework for reading comprehension.

He oder she will sometimes have to ask questions or provide answers on user forums in English; level B1 of the European framework for written expression is sufficient.

The DevOps Engineer also uses a logical approach to diagnose the cause of a malfunction and to remedy it, and keeps an active watch to keep his or her skills up to date.

This job requires mastery of a wide range of tools and languages, as well as an understanding of abstract concepts.
The DevOps system administrator is in contact with teams of developers, his or her technical manager, network and security teams, hosting solution providers, and professional communities for the tools he or she uses.

The DevOps system administrator works in a digital services company (ESN), a Cloud operator, a software publisher or in the IT department of a large company.

They work as part of a team, reporting to their company’s technical manager or IT director. In some cases, this activity is carried out entirely remotely.

The training leads to the French Ministry of Labor’s level 6 professional title (Bac+¾ equivalent): “DevOps System Administrator”. The title is registered with the French RNCP under number RNCP36061. The title is made up of 3 blocks of skills to be acquired in order to obtain professional certification:

– Automate the deployment of a cloud infrastructure
– Continuous application deployment
– Supervise deployed services

It is possible to validate one or more of the skill blocks. Each block can be acquired individually. See RNCP36061 for details.

The curriculum is based on sequences that are themselves divided into modules enabling you to master the skills deemed necessary for the DevOps System Administrator profession. For a total hourly volume of 350 hours of training and a project lasting an estimated 100 hours, 85% of training time is spent on a personalized coaching platform, while the remaining 15% is spent in masterclasses where an experienced teacher leads a course and answers all your questions. In addition to the platform and masterclasses, you’ll be working on a “red thread” project that will confirm the skills you’ve acquired and enable you to get straight to work.

Results are assessed by means of an evaluation procedure to determine whether the learner has acquired the skills required for the role of DevOps engineer.
There are two aspects assessed by the DataScientest teaching team: Practical work situations, including the development of a project lasting an estimated 100 hours and online case studies. The course leads to the level 6 (bac+¾) “DevOps System Administrator” RNCP36061 professional qualification. The assessments carried out during the training are therefore to be distinguished from the certifying assessments aimed at obtaining the title.

Validation of the assessments will enable you to obtain the “DevOps System Administrator” RNCP36061 professional qualification at bac +3 level (European level 6) (Click here to access the certification description).

The DevOps System Administrator professional qualification is divided into 3 skill blocks (or CCP)

– Block 1 : Automate the deployment of a cloud infrastructure
– Block 2: Continuously deploy an application
– Block 3 : Supervise deployed services

Once you’ve completed the DevOps System Administrator professional title, you can continue your training by aiming for an RNCP title or a level 7 diploma (bac +5 equivalent) in IT engineering, or you can aim for mastery of editorial tools. It all depends on you! Some examples of certifications :

– Implement DevOps for AWS Cloud RS5849
– Implement DevOps for Microsoft Azure Cloud RS5343

After analyzing comparable certifications, no equivalents to the professional title of “DevOps System Administrator” registered with France Compétences’s RNCP have been identified. However, there are several RSCH-registered certifications that can help develop skills in the DevOps field:

– Implement DevOps for AWS Cloud (RS5849)
– Implementing DevOps for the Microsoft Azure cloud (RS5343)
– Use DevOps chain development tools (RS5043)
– Apply the DevOps method to optimize the application lifecycle (RS5044)
– Deploy DevOps infrastructure with microservices architecture (RS5363)
– Use DevOps methods and tools in infrastructure administration (RS5234)

In terms of career progression, a DevOps System Administrator can transition into cybersecurity professions such as analyst or security coordinator. Additionally, they can explore the field of DevSecOps. Opportunities for advancement can include roles such as systems engineer, developer, or product owner at the p-1 level, and roles such as Cloud and DevOps manager, network and infrastructure engineer, or Chief Technical Officer (CTO) at the p+1 level.

We are here to support you in your career path, with a singular goal in mind: to enhance your employability.The sectors we primarily focus on include:

– Digital services companies (ESNs)
– Specialized ESNs offering Cloud hosting services (Cloud Providers)
– Software publishers
– IT departments of companies with dedicated IT development departments

The available job positions in these sectors are as follows:

– DevOps Engineer
– SysOps DevOps
– DevOps Systems Engineer
– Cloud Engineer
– Cloud Developer

Once you’ve made contact with the team via our website, we’ll contact you for an initial consultation conversation of what we can offer you based on your professional background and your personal wishes. The idea is to align our offer with your needs. An application form and a test will be used to assess your level. Once this stage has been completed, a member of the admissions team will contact you to discuss your results and validate your professional project, your motivations, and finally the relevance of your educational project. Once your project has been confirmed, you’ll go straight on to the enrolment phase with our teams. The registration deadline depends on the financing method you choose: Personal or company financing: you have until the day before the start date to register (subject to availability). Governmental financing: it might take a few days to receive the confirmation of funding during your application phase, therefore we suggest you apply a few weeks before the course start.

DataScientest is the only organization to offer hybrid online training. With that being said, 85% of the learning effort is performed on the company’s self-made, coached platform, and 15% masterclass sessions via videoconferencing, to combine flexibility and rigor without compromising on either.

Our training comes in 2 formats:

– Bootcamp (11 weeks): full-time intensive format
– Continuous (11 months): 10-12 hours per week, suitable for working learners;

Our teams are committed to accommodating your constraints and assisting you in finalizing your application as efficiently as possible. We will make every effort to ensure that the deadlines are kept within one week. If you are highly motivated and confident in your project, you can even complete your registration within a day!

To enroll in the DevOps training program, you need to have a diploma or RNCP qualification at Bac +2 level in IT (European level 5), or a diploma or RNCP qualification at Bac +3 level (level 6) in a scientific field. Applicants are also required to demonstrate an understanding of the Python language and Linux systems.

Applicants who do not have the required level of qualification may be granted an exemption based on their application and a written test.

To follow the course, learners must have a computer with an Internet connection and a webcam.

Absolutely! We have a team of dedicated teachers who not only designed the program but are also available to offer comprehensive support. Whether you have theoretical or practical questions, they are here to assist you and provide the help you need.

You can receive assistance every day of the week, from 9:00 am to 5:00 pm. Our instructors take turns on a dedicated forum, ensuring personalized technical support for all learners. Additionally, we offer pedagogical support through the Slack communication network.

Furthermore, our teachers closely track your progress to ensure completion and commitment. If you happen to go offline for an extended period, your cohort manager will reach out to you promptly.

On the first day of your training, you will be presented with a dedicated career services platform containing all the workshops essential to your job search. You can access it at any time, even after your course has finished. Mathilde and Morgane, our career managers, are dedicated to you throughout your training. You can make an individual appointment with one of them to support you and answer any questions you may have about your career plans.
In addition, career workshops are organized every month:

– A workshop to help you write a good data-driven CV, which can also be used for LinkedIn
– A workshop to help you strategize your job search with various topics on presentation, career change, salary negotiation and technical test practice. These topics are supplemented by other workshops to be defined according to individual needs. Please note that these events are mainly offered in French, and we are continuously working on growing this service for english-speakers as well.

In addition, concrete actions are put in place to support you in your job search: recruitment fairs organized by DataScientest with its partner companies, organization of Webinars with data expert speakers, communication actions to boost your visibility (CV Competition, DataDays, project articles published on the blog and external reference media). To find out more about DataScientest’s career support initiatives, click here.

Mathilde and Morgane, our career managers, will be available throughout the course to support you in your professional (re)integration project. You can schedule an individual appointment with either of them to receive personalized support and have your career-related questions answered.

Additionally, we organize monthly career workshops to provide you with the best advice for success, including workshops on CV and LinkedIn optimization, job search assistance, and mock interviews.

Furthermore, we have various initiatives in place to support your job search, such as recruitment fairs organized by DataScientest to introduce you to our partner companies, webinars with data experts, and communication initiatives to boost your visibility, including CV competitions, DataDays events, and the publication of project articles on our blog and other external reference media.

The DatAlumni community is a LinkedIn community of DataScientest alumni. On this page, questions, advice and technology news are shared for the benefit of all. You’ll be invited to join at the start of your training. Also part of the program: business opportunities, networking and events (afterworks, trade shows, Data Challenges…).

DataScientest alumni can also meet up on our Facebook group, where they can get in contact and help each other out.

At the same time, our program life department organizes monthly activities such as ice breakers, “Who Wants to Win a Million Dollars in Data”, afterwork events, etc., to further strengthen the bond between learners and alumni.

Initially, DataScientest helped companies with their Data transition. This enabled us to forge strong links with the major groups that have ensured the growth of our structure.

Building on our experience and these privileged relationships, we regularly organize recruitment fairs with our partner companies, aimed at all our students and alumni. Recent participants include: Mano Mano, OnePoint, JellySmack, Crédit Agricole, Little Big Code, Job Teaser, among many others…

Throughout the year, our careers department also relays offers from our partners via our promotional channels, where you can apply directly.

In order to compensate for your handicap and enable you to follow your training in the best possible conditions, we have set up a special program for disabled people. If you have any queries concerning your situation, please contact our disability advisor Mathilde Venchiarutti: [email protected].

Read the testimonial of a disabled learner and her support by the DataScientest team on the webinar: “Disability & employment: seize the opportunity of a career in tech”.