Enroll now to become a Certified Cloud Architect expert with EDTIA Cloud Architect Masters Program and upgrade your skills.
Cloud Architect Masters Program makes you proficient in designing, planning, and scaling cloud implementation. It contains training in Python, Cloud Computing, AWS Architectural Principles, Migrating Applications on Cloud, and DevOps.
Cloud Architects help organizations to leverage Google Cloud technologies. With a thorough knowledge of cloud architecture and Google Cloud, they design, develop, and manage robust, secure, scalable, highly available, and dynamic solutions to drive business objectives.
Our Cloud Architect Course Learning track has been curated after thorough research and recommendations from industry experts. It will help you differentiate yourself with multi-platform fluency and have real-world experience with the essential tools and platforms.
There are no prerequisites for enrollment in the Cloud Computing Course Masters Program.
Experienced professional working in the IT industry. An aspirant is planning to enter the data-driven world of analytics.
Cloud architects are IT experts responsible for supervising the cloud computing infrastructure. This involves working on cloud application designs, leading teams, developing and implementing cloud strategies, and ensuring that cloud systems stay up to date and run smoothly.
The cloud architect is accountable for creating and executing cloud computing solutions. This includes initiating the cloud infrastructure, designing the cloud application architecture, and designing the cloud security architecture.
The demand for cloud engineers is relatively high. The cloud market is expanding and is expected to grow by 26% by the end of 2022.
A cloud engineer is an IT professional answerable for any technological duties associated with cloud computing, including creation, planning, management, maintenance, and support. Cloud engineer is a general term containing a few other roles, including cloud architect.
Learn what Python is and touch on the basics.
Learn different types of sequence structures, related operations and their usage, and diverse ways of opening, reading, and writing to files.
Discover how to make generic python scripts address errors/exceptions in code, and finally, how to extract/filter content utilizing regex.
learn the basics of statistics, different types of measures and probability distributions, and the supporting libraries in Python that assist in these operations.
learn in detail about data visualization
learn cloud computing and its components.
learn about the different services provided by AWS and an overview of the necessary resources required to architect an application.
know about the concepts of an EC2 model and their usage, different AMIs, and a demo on launching an EC2 model.
learn about the different Object Storage Services offered by AWS, identify when to utilize a specific service, store/transfer data using these services, and optimize the storage cost.
understand the concepts of Load Balancing, Auto-Scaling, and Route 53 to manage traffic
know about the various database services offered by AWS to handle structured and unstructured data. Gain knowledge on how to analyze your data.
Learn the Amazon Virtual Private Cloud, which demonstrates how to monitor your resources.
Learn about different Application services offered by AWS used for sending emails, notifications, and processing message queues.
understanding of different AWS services and tools utilized for configuration management and Automation.