About Cloud Masters Program
Cloud 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.
Syllabus for Cloud Masters program
1. Python Scripting Certification Training – SELF PACED
Python Scripting allows programmers to build applications easily and rapidly. This course in the cloud masters program introduces you to Python scripting, which focuses on Python’s concepts. It will help you to perform operations on variable types. You will learn the importance of Python in a real-time environment and will be able to develop applications based on the Object-Oriented Programming concept.
2. Fundamentals of Cloud Computing – SELF PACED
Cloud Computing provides us means by which we can access the applications as utilities over the internet. It allows us to create, configure, and customize business applications online. This is a self-paced course in the cloud masters program designed to guide you through a step-by-step approach in learning theoretical concepts of Cloud Computing.
3. AWS Architect Certification Training in the Cloud Masters prog. – LIVE CLASS
Industry professionals curate Edureka’s AWS Architect Certification Training as per the industry requirements and demands. It will help you prepare for the AWS Certified Solutions Architect – Associate exam SAA-C02. With Edureka’s instructor-led sessions, you will be able to effectively architect and deploy secure and robust applications using AWS. in the cloud masters program; this course will help you identify the appropriate AWS service based on databases, network, storage, cost optimization, compute, and security requirements.
4. Migrating Applications to AWS Training – LIVE CLASS
Edureka’s Online Workshop on Migrating application to AWS will help you gain expertise and experience managing cloud migration without any downtimes. Migrating Applications to AWS(Amazon Web Services) Training will help you become proficient in Migrating Strategies, Migrating Web Applications, Database Migration, Batch Processes, and Backend Processing Pipeline to AWSCloud using the best migration practices suggested by AWS.
5. DevOps Certification Training in the Cloud Masters prog. – LIVE CLASS
The DevOps Certification Training Program will provide you with in-depth knowledge of various DevOps tools, including Git, Jenkins, Docker, Ansible, Puppet, Kubernetes Nagios. This training in the cloud masters program is completely hands-on and designed in a way to help you become a certified practitioner through best practices in Continuous Development, Continuous Testing, Configuration Management, and Continuous Integration, and finally, Continuous Monitoring of software throughout its development life cycle.
6. AWS Certified DevOps Engineer Training – LIVE CLASS
The AWS Certified DevOps Engineer – Professional exam validates technical expertise in provisioning, operating, and managing distributed application systems on the AWS platform. Edureka’s AWS Certified DevOps Engineer training has been designed to help an individual develop advanced technical skills on CodeCommit, Codepipeline, CloudFormation, OpsWorks, Beanstalk, and many more, needed to attempt the AWS Certified DevOps Engineer – Professional examination successfully. With this AWS professional certification under your belt, you will join an elite club of AWS Certified DevOps Engineer Professionals who are in high demand by employers worldwide.
You can download the detailed syllabus for this program over here
Cloud Masters Capstone Project
The objective is to build an end-to-end cloud-based recruitment management system on the cloud using Amazon Web Services. The architecture must be designed so 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.
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- Masters program
- Instructor-led Self-paced
- All levels
- Paid Course (Paid certificate)
- AWS Cloud computing Data Science Data Science with 'Python' DevOps