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PROGRAM

Skillup
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DevOps Engineer Certification Training Course

Build the advanced-level DevOps skills and practical experience employers are looking for. Skill up in Python, Microsoft Azure, and key DevOps tools to kickstart a highly rewarding career.
  • IBM
  • Microsoft

BLENDED

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MENTORED

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ADVANCED

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Duration

7 Months

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Fee

flag-icon Enroll in Your Preferred Cohort
No open cohorts available, Please consult with our team using “get free consultation “ form.

DevOps practices are transforming the way organizations develop and deliver software. By breaking down silos between development, operations, and quality assurance teams, DevOps allows for more efficient and effective collaboration, faster time-to-market, and higher customer satisfaction. Whether you're a seasoned IT professional looking to expand your skillset or a recent graduate eager to break into the technology industry, DevOps is a smart choice for anyone seeking a fulfilling and rewarding career.

This DevOps Engineer Program builds the advanced-level DevOps skills, practical experience, and opportunities for DevOps engineer certification employers are looking for.

As you progress through the program, you’ll work through four specialized courses designed in collaboration with Microsoft, IBM, and industry experts. These include an introduction to Python, Linux and deep dive into many other DevOps tools. You’ll be fully immersed in continuous integration (CI), continuous development (CD), containerization, orchestration, and configuration management best practices, and you’ll build demonstrable expertise in continuous monitoring of software throughout the development life cycle. Plus, you’ll gain an in-depth understanding of key DevOps tools, including Git, Jenkins, Docker, Ansible, Terraform, Kubernetes, Prometheus, Grafana, Nagios, and Azure DevOps.

You will expertise into Microosft technologies also covering AZ-900: Microsoft Azure Fundamentals, AZ-204: Developing Solutions for Microsoft Azure, and AZ-400: Designing and implementing Microsoft DevOps Solutions. As you work through the modules, you’ll complete hands-on labs, Azure-specific projects, and an industry-oriented capstone project.

If you’re looking to prepare properly for valuable DevOps engineer certification, this DevOps engineer training, which has been designed by industry experts, will get you job-ready with the skills and hands-on experience you need to build a highly rewarding career.

This program comprises 13 purposely designed courses that take you on a carefully defined learning journey.

It is an instructor-led program which runs to a fixed schedule, with set start and finish dates. It is driven forward by your instructor and features live sessions that are aired at a set time. You will, however, have time to complete certain activities at your own pace outside of the live sessions.

The materials for each module are accessible from the start of each course and will remain available for the duration of your enrollment. Methods of learning and assessment will include reading material, hands-on labs, and online practice exam questions.

As part of our mentoring service, you will have access to valuable guidance and support throughout the program. We provide a dedicated discussion space where you can ask questions, chat with your peers, and resolve issues. And as part of our career services, you will get guidance on how to boost your profile and prepare for interviews. Further details are below.

Once you have successfully completed the program, you will earn your Certificates of Completion for each course in the program.

Once you have completed this program, you will be able to:


  • Learn the basics of Python programming and script writing.
  • Use basic Linux commands and shell scripting.
  • Set up Jenkins, create a job, and integrate Jenkins with version control systems such as Git.
  • Install Docker, build custom Docker images, and use Docker Compose to orchestrate multi-container applications and scale containers.
  • Perform resource allocation, management, and monitoring in Kubernetes.
  • Use advanced Kubernetes features, such as rolling updates, rollbacks, blue-green and canary deployments, and Kubernetes namespaces, and RBAC.
  • Perform configuration management using Ansible to manage inventories, write playbooks to automate tasks, create roles, and automate the network.
  • Perform infrastructure provisioning using Terraform by installing it to work with CLI and commands, and create and apply Terraform plans, providers, and states.
  • Work with Prometheus, Grafana, and Nagios to monitor and create customizable dashboards to visualize and analyze data in real time.
  • Learn how to implement Azure compute solutions, create Azure functions, implement and manage web apps, and develop solutions utilizing Azure storage.
  • Learn how to implement authentication and authorization and secure solutions using Key Vault and managed identities.
  • Understand DevOps concepts and their application in Microsoft, focusing on strategies for version control, compliance, infrastructure security, and continuous integration.
  • Define and implement continuous integration (CI), continuous delivery (CD), release management strategy, and site reliability engineering (SRE) strategy.
  • Identify when to use which tool and how in real-world situations.

Recent graduates with a bachelor of science degree (or equivalent) in computer science, engineering, or relevant field.


Professionals with experience in customer experience.

Professionals with experience in developing/engineering applications.

Professionals with 2 to 12 yrs of work experience in software development, testing, and software delivery.

Developers seeking to learn how to use cloud computing applications and platforms.

Professionals looking to develop their career in the DevOps.

Required:


  • A bachelor's degree in computer science, computer engineering, information technology, or a related subject

Recommended:


  • An understanding of cloud computing concepts.
  • Some experience in software development.
  • Familiarity with scripting.

Once you have successfully completed this program, you will be awarded your Program Certificate confirming you have the job-ready skills, knowledge, and practical experience employers need. The competencies you gain will also make a valuable addition to your resume and LinkedIn profile.

  • Certificate of Completion
  • Mapping to 3 x industry-recognized Microsoft certifications

This program will prepare you for taking 3 key Microsoft certification exams. These exams must be taken externally through Pearson Vue.

Finely tuned soft skills are critical for success in both professional and personal life.

Research carried out by Wonderlic has shown that 97% of employers believe soft skills affect job performance. Now, professionals with strong human skills are often favored in job applications and interviews. This Program will help you to develop key career and human skills such as expectation management, resume writing, profile building, and interview techniques.

Once you have successfully completed this Program, our career and placement service will begin. This will include:


FOR ALL LEARNERS


A tech skills assessment & mock interview.


  • A technical assessment test to gauge your skills level. This will ensure we provide the career mentoring you need.
  • Pre-employability training
  • Mock HR interviews
  • Mock technical interviews

  • 7-day Finishing School Program.

    • Resume and online profile preparation
    • Further mock HR and technical interviews
    • Interview coaching
    • Individual counselling


      FOR LEARNERS IN INDIA

      Career mentoring for accelerated personal and professional growth.


      1-to-1 guidance from our Placement Assistance Team


      • Access to internship opportunities
      • Access to job opportunities in top organizations

Our mentors are specialists in their technical fields. They have the experience and expertise required to understand the challenges you face as you tackle complex technical subject matter.


To support you as you learn, not only will you get real-time feedback from experienced instructors but also 1-to-1 mentoring assistance that enhances your understanding. Our mentors are on-call to help as you build your practical experience in the hands-on labs. They’ll also be contactable through our popular discussion spaces. Plus, they’ll monitor your progress and provide constructive and timely feedback to ensure you complete the program.

You'll benefit from:

  • Feedback and support from qualified instructors during the live online classes.
  • 1-to-1 mentoring to support you and answer your questions as you learn.
  • Interactive discussion space support from your mentors and peers.
  • Regular progress monitoring to keep you on track.
  • Regular formative and summative assessments.
  • Industry expert sessions introducing the corporate environment.

Baseline Knowledge Check in Devops

Take our quick quiz and see how your knowledge stacks up. This Devops knowledge check consists of 18 multiple-choice questions.

Once you’ve completed the test and submitted your answers, we’ll email you your result. Sound good? Great, let’s get started.

BaslineKnow

Why Learn with SkillUp Online?

We believe every learner is an individual and every course is an opportunity to build job-ready skills. Through our human-centered approach to learning, we will empower you to fulfil your professional and personal goals and enjoy career success.

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Reskilling into tech? We’ll support you.

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Upskilling for promotion? We’ll help you.

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Cross-skilling for your career? We’ll guide you.

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Personalized Mentoring & Support

1-on-1 mentoring, live classes, webinars, weekly feedback, peer discussion, and much more.

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Practical Experience

Hands-on labs and projects tackling real-world challenges. Great for your resumé and LinkedIn profile.

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Best-in-Class Course Content

Designed by the industry for the industry so you can build job-ready skills.

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Job-Ready Skills Focus

Competency building and global certifications employers are actively looking for.

FAQs

Training is delivered using live and interactive virtual instructor-led sessions conducted by our subject matter experts. Self-paced learning is supported by our mentoring team for each of the artificial intelligence and data science courses included in this program. In this TechMaster Certificate Program in Artificial Intelligence (AI) with Data Science, you will engage in interactive exercises and projects, ensuring a comprehensive grasp of both the concepts and their practical implications. The program introduces you to the fundamentals of both AI and data science and then builds your skills and knowledge to an advanced level, so you are ready to work in AI

Yes, you will be learning generative AI in this program. The demand for generative AI skills is skyrocketing in today's tech-driven landscape. According to Techopedia, it's projected that AI's growth will contribute a staggering $15.7 trillion to the global economy by 2030. Notably, the introduction of ChatGPT, a type of generative AI, has also significantly accelerated the expansion of this field. Additionally, a Forbes study reveals that a remarkable 97% of business owners anticipate a positive impact on their operations from the adoption of ChatGPT.

Yes, data science and artificial intelligence (AI) jobs are highly valued in today's job market. They offer competitive salaries, opportunities for career advancement, and the chance to work on cutting-edge technologies that drive innovation across industries.

Yes, the TechMaster Certificate Program in Artificial Intelligence (AI) with Data Science program is highly suitable for you. It covers both data science and artificial intelligence comprehensively, providing you with the skills and knowledge needed to excel in these fields. The program includes hands-on labs, tailored projects, and capstone projects, ensuring you gain practical experience and industry-relevant skills.

While not strictly necessary, learning artificial intelligence (AI) can significantly enhance your capabilities as a data scientist. AI techniques, such as machine learning and deep learning, are increasingly used to derive insights from complex datasets and automate decision-making processes. Proficiency in AI can open more job opportunities and enable you to tackle more advanced data science challenges effectively.

During the live sessions, learners can post questions to the instructor using the live chat option. Additionally, the training platform has various tools that enable learners to get the attention of a mentor so they can ask a question.

The hands-on practicals are conducted using online virtual labs. All you need is a PC or a laptop with an internet connection. We will provide you with a login ID to access and do the practicals.

Our Mentoring Team is available to answer your queries through live chat or email. If required, the team can solve your queries using remote desktop support.

We post recordings of the live sessions included in the data science and artificial intelligence courses in this program on the Learning Management System (LMS). You will be able to visit the LMS to view recordings if you miss a session. The recordings will be available to help with revision too before your final exam.

The study material and session recordings will be available throughout the duration of the program. You will be able to access them as many times as you want.

Your internet speed should be a minimum of 512Kbps.

To attend the live video streaming sessions, view session recordings, and access learning materials for each of the artificial intelligence and data science course included in this program, you can use your mobile phone. A smartphone that is 4G enabled is required. However, to do the hands-on labs and practicals, you will need a PC/laptop.

The live video streaming sessions use the concept of a virtual classroom in a metaverse environment. Learners attend live sessions with an instructor present and receive training as if they are attending the session in a classroom. The sessions are supplemented by virtual labs and post-session technical support to resolve all queries. E-learning platforms do not provide live training sessions. The content hosted on an E-learning platform is static.

AI and data science specialists are crucial in today’s business environment. Companies in all industries, from eCommerce, to finance, retail, transport, manufacturing, and healthcare are searching for new talent that can compile, analyze, and visualize data to glean powerful insights. To enhance effectiveness and efficiency, AI specialists are responsible for setting up new apps and systems that use AI to make smarter judgments. This, in turn, boosts profit, enhances customer relationships, and reduces costs. Moreover, with the launch of Open AI’s generative AI model ‘ChatGPT’ in the market, companies are now keen to explore further the possibilities of what AI can do. Data scientists work collaboratively with business stakeholders to figure out how data can help them accomplish their goals. They create algorithms and prediction models to extract the required data for a given objective and then analyze the data, create meaningful visual reports, and share information.

Program Offering

certificate

Type of certificate

13 x Certificate of Completion

Mapping to 3 x Microsoft Certifications

1 x IBM Certificate

course

About this program

14 Courses

includes

Includes

Discussion Space

85 Hands-on labs

130 Knowledge checks

08 Final exams

06 Practice sets

09 Projects

01 Capstone project

create

Create

Python Programs

Linux Scripts

Jenkins job & pipelines

Dockerfile

Data volumes

Networks

Deployment object

Services for applications

Playbooks

Roles

Terraform configuration

Terraform plans

Custom Terraform providers

Dashboards in Grafana

Monitroing with Nagios

Develop Azure solutions

exercises

Exercises to explore

Python coding for string operations, lists, tuples, sets, & dictionaries

Reading and writing files

Working with 1D & 2D Numpy arrays

Installing Jenkins & Docker

Managing data & networking with Docker

Setting up a Kubernetes environment

Deploying applications

Managing storage & resources

Service discovery

Jinja2

Error handling & debugging

Network automation

Terraform installation, workflows & providers

Prometheus architecture & integration

Monitoring with Grafana and Nagios

Timer trigger, HTTP trigger, blob trigger

API management from a function app

Custom handler to build an app

Microservices architecture

Desired State Configuration (DSC)

Azure Kubernetes Service (AKS)

Azure dashboards

Power BI

SonarCloud

GitHub workflow and Integration

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