This DevOps certification training is designed by industry experts having years of experience(Amazon, Google, Cisco, Byjus) in building and scaling production applications to millions of users across the world.
The course will be completely hands-on and we will make sure to deliver best-in-class learning experience and provide you the enough nudges to start your career in DevOps and at the same time start preparing for various certifications like DCA(Docker Certified Associate) and CKAD(Certified Kubernetes Application Developer)
CloudxLab is a team of developers, engineers, and educators passionate about building innovative products to make learning fun, engaging, and for life. We are a highly motivated team who build fresh and lasting learning experiences for our users. Powered by our innovation processes, we provide a gamified environment where learning is fun and constructive. From creative design to intuitive apps we create a seamless learning experience for our users. We upskill engineers in deep tech - make them employable & future-ready.
We will see how to create, dockerize and automate the hosting of a simple static website. In the process, we will learn how to push the code to GitHub, enable Travis to track changes in that repository, deploy on the AWS Elastic Beanstalk using S3 and IAM, host the app on a public domain bought from Google Domains, and configure it with the help of Amazon Route 53.
We will deploy the multi-container Flask app (Nginx, uWSGI, Redis and PostgreSQL) on AWS Elastic Beanstalk
We will deploy the Flask app on AWS Elastic Beanstalk using Docker, RDS(PostgreSQL),ElastiCache(Redis) and Travis CI.
We will understand what is Kubernetes and what is Minikube. As part of the hands-on, we will learn to set up Minikube with VirtualBox in Windows 10 Home system. We will learn various concepts of Kubernetes like pods, deployments, services, and ingress, and have a look at how we could create them in various ways using different commands. We will also deploy the single container static web application - which we have dockerized as part of the Docker, Travis, and AWS project series - and access it using Kubernetes ingress.
We will learn how to deploy a static website on the Google Cloud Platform (GCP). It is very highly recommended to go through the project Testing App Locally on MiniKube, as the current project is dependent on that.
We will see how to automate the process of deploying a static web app onto GKE with the help of a shell executable and Travis-CI.
We will understand how to deploy a multi-container application on Minikube and GKE. We will learn about Kubernetes Secrets and Kubernetes Persistent Volume Claim. By the end of this project, we will be able to appreciate the use of MiniKube before deploying an application onto production, like onto Google Kubernetes Engine.
Basic knowledge of any programming language and Linux will help you in understanding the concepts faster. We will provide access to our self-paced courses on Python and Linux once you sign up for this course.
“Sessions were great, pace was also very good. Each of the steps were explained well multiple times to ensure everyone understands the concepts. Thanks Sandeep!”
“Thanks a lot,it was great course! I'm happy that you lead in this path to AI/ML/DL.I hope to continue to collaborate with you in future.”
“Thank you so much Sandeep for all your great sessions. It will help in our career a lot. Your session is very much explanatory and understandable. Kudos to you.Thanks for all your hard work and time. Definitely, we will recommend all our friends and colleagues to attend your different course.Thanks a ton”
“I have been using CloudxLab for a while now, and they are amazing! The best part about using CloudxLab is that you do not need to wait for someone to tell you whether what you did was right or not, it is done automatically on the go. The training materials are of top notch quality. If you get stuck, they have a huge community of trainers and learners to help you out with all your doubts. They have a course structure for everyone, whether you are new to programming or are a seasoned programmer, they have something to offer you. And they are affordable too! I would recommend CloudxLab all the time.”
“This course is suitable for everyone. Me being a product manager had not done hands-on coding since quite some time. Python was completely new to me. However, Sandeep Giri gave us a crash course to Python and then introduced us to Machine Learning. Also, the CloudxLab’s environment was very useful to just log in and start practising coding and playing with things learnt. A good mix of theory and practical exercises and specifically the sequence of starting straight away with a project and then going deeper was a very good way of teaching. I would recommend this course to all.”
“It has been a wonderful learning experience with CXL. This is one of the courses that will probably stay with me for a significant amount of time. The platform provides a unique opportunity to try hands-on simultaneously with the coursework in an almost real-life coding example. Besides, learning to use algebra, tech system and Git is a good refresher for anyone planning to start or stay in technology. The course covers the depth and breadth of ML topics. I specifically like the MNIST example and the depth to which it goes in explaining each and every line of code. Would definitely recommend the instructor-led course.”
“This is one of the best-designed course, very informative and well paced. The killer feature of machine/deep learning coursed from CloudxLab is the live session with access to labs for hands-on practices! With that, it becomes easy following any discourse, even if one misses the live sessions(Read that as me!). Sandeep(course instructor) has loads of patience and his way of explaining things are just remarkable. I might have better comments to add here, once I learn more! Great Jobs guys!”
Senior Software Developer at Decision Resources Group
The instructor will show how to use and deploy these services on AWS and GCP. You will have to use your own AWS or GCP account and pay for these services. The instructor will demonstrate how can you minimize the billing on your AWS and GCP accounts.
Also for the tools which can be demoed on CloudxLab, you can use your lab account for the same. With the course, you will get 90 days of lab access.
In Self-paced learning, you will get,
Once you complete 100% of the course, you can send a mail to email@example.com and the team will begin the certification generation process.
Absolutely! Please contact us here
There is no programming language required as such. If you are comfortable with Linux commands then you will be able to get the concepts.
Python and Shell scripts will be used depending on the tool that is being covered.
We provide a 100% fee refund if the request is raised within 7 days from the enrollment date. Please contact us at firstname.lastname@example.org to request a refund within the stipulated time. Thereafter, no refund is provided.