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Course Curriculum ---------------------------------------------------------------------------------------------------------
4 Months
Our course is designed by industry experts for excellent academic and industrial experience. We have a balanced combination of theoretical, technical,
and practical knowledge for you to get the best training experience for everyone regardless of their background.
Interview preparation Once you have enrolled for the program then you will have access to a wide range of resources which will help you in becoming a Job-Ready Candidate.
We have a dedicated placement team of professionals who excel in their individual domains committed to assist you in our journey.
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To create a secure, reliable, usable, and readily available website using AWS. This is implemented used AWS Storage and Internet gateways to process Dynamic User Inputs
This is to create a secured application deployment on Azure Cloud Platform using Containers
The Project aims to create a highly scalable E-Commerce Application and deployed in Google Cloud Platform. This involves Containerized microservice based appliactions deployed using kubernetes
Learners can able to use Terraform and Ansible on AWS/Azure/GCP to create highly reliable dynamic infra-structure
Deployment of Web Applications in a Dedicated VPCs on AWS/Azure/GCP. With this project, Learners can able to master in using IAC Tools like Terraform and Ansible
The automation of Backup & Recovery involves, process driven approach. Learner can able master in defining Backup & Recovery strategies on AWS, Azure, GCP and also in hybrid multi-cloud platform
Creation of a serverless web application using various AWS services such as API Gateway, and Lambda. These services help in the development of a robust web application that can manage any type of workloads
Learners will be able deploy dynamic web applications and automate the cost optimization, using kubernetes services on AWS/Azure/GCP to deploy highly available and scalable applications
The project aims to create a highly available production environments using AWS/Azure/GCP Monitoring services with proactive alert management and automated webhooks.
In this Project, Learners can able to understand the SAAS Deployment Model Architecture, Process and Strategies. Automate Build and Deployment on Kubernetes cluster with CI/CD Pipelines using the Azure/AWS/GCP DevOps Services
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