Get 20 percent off of these top cloud masters programs on Edureka by using the code MASTERS20 at checkout by August 5th.
Cloud computing skills are in high demand among organizations that are looking to use their cloud solutions to generate business revenue. The pandemic and subsequent “new normal” of remote work are furthering demands for these skills. Many are turning to online learning platforms to up their game and acquire the cloud skills most likely to help them stand out. And whether you are looking to acquire those skills for work or for play, this collection of Edureka cloud master programs demonstrates expertise in designing, deploying, managing, and operating cloud solutions.
We’ve compiled this list of top-rated Edureka cloud master programs to consider taking. Edureka is perfect for those looking to take multiple courses or acquire skills in multiple different areas, or for those who want the most in-depth experience possible through access to entire course libraries or learning paths. In sum, Edureka offers courses and training in 20 coverage categories. From now until August 5th, you can get 20 percent off these top-rated cloud masters programs on Edureka by using the code MASTERS20 at checkout.
3 Cloud Master Programs on Edureka
Course Title: Cloud Architect Masters Program
OUR TAKE: In addition to covering the fundamentals of cloud computing, students of this masters program will gain complimentary certification training in Python scripting, Amazon Web Services, migrating applications to AWS and other cloud platforms, DevOps, and AWS DevOps engineering.
Description: The Cloud Architect Masters Program makes you proficient in designing, planning, and scaling cloud implementation. It includes training in Python, Cloud Computing, AWS Architectural Principles, Migrating Applications on Cloud and DevOps. The curriculum has been determined by extensive research on 5000+ job descriptions across the globe. The objective of the capstone project is to build an end to end cloud-based recruitment management system on cloud using Amazon Web Services. The architecture must be designed in such a way that the back-end components are hosted as microservices using Docker and Amazon ECS. All aspects of the application must adhere to the five pillar recommendations of AWS.
Course Title: Microsoft Azure Cloud Engineer Masters Program
OUR TAKE: Edureka offers this masters program for any cloud or IT professional looking to get professionally certified in Microsoft Azure: specifically, the AZ-104 for Azure administration, the AZ-204 for developing Azure solutions, the AZ-303 for Azure architect technologies, and the AZ-400 for Azure DevOps integration.
Description: Edureka’s Microsoft Azure Cloud Engineer Masters Program will prepare you for three certification exams: AZ-104, which is required to attain Azure Administrator Badge (Associate-level), AZ-204, which is required to attain Azure Developer Badge (Associate-level), AZ-303, which is required to attain Azure Solutions Architect Badge (Expert-level), and AZ-400, which is required to attain Azure DevOps Engineer Badge (Expert-level). You will be able to implement advanced networking configurations, plan authentication and security of the infrastructure, use PaaS solutions and Storage Services to deploy end-to-end cloud solutions.
Course Title: DevOps Engineer Masters Program
OUR TAKE: For cloud professionals who want to demonstrate their proficiency in DevOps engineering, this is the cloud masters program for you. Specific coverage topics including the fundamentals of Linux, Python scripting, Docker, Splunk, and AWS certified DevOps.
Description: Devops Engineer Masters Program will make you proficient in DevOps principles like CI/CD, Continuous Monitoring and Continuous Delivery, using tools like Puppet, Nagios, Chef, Docker, Git & Jenkins. It includes training on Linux, Python, Docker, AWS DevOps Certification Training and Splunk. The curriculum has been determined by extensive research on 5000+ job descriptions across the globe. The objective of the capstone project is to develop a Continuous deployment pipeline to deploy the code changes as they are committed to the codebase. The codebase has to be tested thoroughly for any regression/missing features before deployment. The pipeline should be built in a way that ensures lower maintenance efforts and maximum re-usability.
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