Post Graduate Program in Cloud Computing
4.500,00 EUR
Cloud services have become the leading solution for organizations seeking secure and scalable IT infrastructure. The trend toward cloud adoption has led to an increased demand for qualified professionals who can design, implement, and manage cloud solutions.
About the Program
Our Post Graduate Program in Cloud Computing is designed to equip you with the technical skills and training required to succeed in this rapidly growing industry. With expert instruction and engaging hands-on projects, you will gain invaluable experience with the two leading cloud providers, AWS and Microsoft Azure, to prepare you for real-world challenges. Our rigorous curriculum covers many topics, including cloud provider selection, application migration, performance testing, load balancing, autoscaling, identity access management, disaster recovery, storage services, multi-cloud deployment, database management, and more.
Through a combination of theoretical knowledge and practical experience, you will engage in integrated labs, sandboxed cloud labs, self-paced videos, live virtual classes led by industry experts and peer-to-peer collaboration.
Key Features
8 months program duration of online bootcamp and eLearning
Official Caltech CTME Post Graduate Certificate
Receive up to 15 CEUs from Caltech CTME
Masterclasses from Caltech CTME instructors
Live virtual classes led by industry experts, hands-on projects, and integrated labs
40+ Hand-On Projects with Integrated Labs
Caltech CTME Circle Membership
Capstone project in 4 domains, along with course-end projects
Live sessions on the latest AI trends
AWS authored Self Learning Content
Microsoft Training Certificate
About Caltech CTME
Founded in 1891, Caltech is a world-renowned science and engineering institute that marshals some of the world’s brightest minds and most innovative tools to address fundamental scientific questions and pressing societal challenges. Caltech prizes excellence and ambition. The contributions of Caltech’s faculty and alumni have earned national and international recognition, including 38 Nobel Prizes and nearly 60 National Medals of Science. The Institute manages the Jet Propulsion Laboratory (JPL) for NASA. CTME is embedded in Caltech’s Division of Engineering and Applied Science.
Caltech CTME has a unique role to play in applying the capabilities of scientists and engineers to the challenges of today’s technology-driven businesses. Caltech CTME applies executive education and professional development directly to realworld problems. Caltech CTME experts teach the tools and perspectives that elevate careers and help companies achieve their goals.
Learning Path
Foundations and Prepatory Module - AWS & Azure
Lesson 01
AWS Cloud Fundamentals
Lesson 02
AWS Solutions Architect
Lesson 03
Microsoft Certified Azure Administrator: AZ-104
Lesson 04
Designing Microsoft Azure Infrastructure Solutions: AZ-305
Lesson 05
DevOps on AWS
Lesson 6
Cloud Computing Capstone Project
Lesson 07
Caltech CTME Cloud Computing Masterclass
Electives
Google Cloud Platform Architect
Electives
Big Data on AWS
Electives
Cloud Security: CCSP
Electives
DevOps on Azure
Electives
Developing Solutions for Microsoft Azure
Electives
AWS Developer Associate
Electives
AWS SysOps Associate
Electives
AWS Database Migration
Electives
Generative AI Masterclass
Electives
Industry Projects
Learning Outcomes
At the end of this Cloud Computing Post Graduate, you will be able to:
Understand the main principles of Cloud Computing and how they have been implemented in Microsoft Azure and AWS
Design an Azure app service web app by using Azure CLI, Powershell, and other tools
Manage subscriptions, billing, and rolebased access control regarding Azure users and groups
Manage security and identity for Azure solutions
Analytics infrastructure
Gain expertise in creating and maintaining analytics infrastructure and own the development, deployment, maintenance, and monitoring of architecture components
Implement use cases and configuration options for Azure App Services and App Service environments
Implement AWS security and testing, and become an expert in AWS components such as S3, DynamoDB, Elastic Beanstalk, and CloudFormation
Understand Google Virtual Machines and how to work with them
Select the appropriate AWS service based on data, compute, database, or security requirements
Get an overview of AWS DMS, how the AWS Schema Conversion tool works, types of AWS Database Migration Service
Deploy, manage and operate scalable, highly available and fault-tolerant systems on AWS
Who Should Enroll in this Program?
This program caters to those who are hoping to enter the world of Cloud Computing or want to update their skills, as it is designed and structured to accommodate various professional backgrounds. Although there are no prerequisites for taking this training program, individuals in the following roles and disciplines are ideal for this course:
Solutions architects
Cloud Developers
Cloud Software Engineers
DevOps Professional
Application Process
Eligibiligy Criteria
Criteria
Application Process
Process
Frequently Asked Question
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