BLENDED
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MENTORED
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ADVANCED
7 Months
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:
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:
Recommended:
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.
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.
7-day Finishing School Program.
FOR LEARNERS IN INDIA
Career mentoring for accelerated personal and professional growth.
1-to-1 guidance from our Placement Assistance Team
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:
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.
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.
1-on-1 mentoring, live classes, webinars, weekly feedback, peer discussion, and much more.
Hands-on labs and projects tackling real-world challenges. Great for your resumé and LinkedIn profile.
Designed by the industry for the industry so you can build job-ready skills.
Competency building and global certifications employers are actively looking for.
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
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.
13 x Certificate of Completion
Mapping to 3 x Microsoft Certifications
1 x IBM Certificate
14 Courses
Discussion Space
85 Hands-on labs
130 Knowledge checks
08 Final exams
06 Practice sets
09 Projects
01 Capstone project
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
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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