Post Graduate Program in Cloud Computing
This Post Graduate Program In Cloud Computing will prepare you for a career in Cloud Computing by building your AWS and Microsoft Azure expertise, with hands-on learning in key cloud-based DevOps practices. You’ll learn to master the architectural principles and services of the most widely used cloud platforms and develop skills to transform yourself into a certified Cloud professional.
Program Overview
This Post Graduate Program in Cloud Computing will help you become an expert in designing, planning, and scaling cloud implementation. It will enable you to master the core skill sets required for designing and deploying dynamically scalable, highly available, fault-tolerant, and reliable cloud applications and acquire knowledge of DevOps services for enhanced scalability and automation.
Program Advantage
The Post Graduate Program in Cloud Computing is presented in collaboration with Simplilearn. Simplilearn provides highly effective online training across a range of information technology and software disciplines. In its ten-year history, Simplilearn has trained over one million professionals and 1,000 companies across 150 countries, enabling them to acquire certifications and reach their business and career goals.
Upon completion of the program, you will receive:
- Caltech CTME Post Graduate Program in Cloud Computing Certificate
- Comprehensive learning path performance report
- Membership in the CTME Circle network
- Up to 15 CEUs (continuing education units)
- Personalized career support services
Blended Learning Approach
Simplilearn’s Blended Learning model brings classroom learning experience online with its world-class Learning Management System (LMS). It combines instructor-led training in virtual classrooms, self-paced learning, and personalized mentoring to provide an immersive learning experience.
The program also provides 24/7 teaching assistance, online practice labs to do real-world projects, and a vibrant social forum where you can discuss ideas with your peers.
Simplilearn's Blended Learning promotes learning by doing and not just watching.
Organizations are looking for savvy technologists who can seamlessly integrate applications and infrastructure into the Cloud. Aspiring professionals must demonstrate the appropriate skills and knowledge to compete favorably in the market, and the Caltech CTME Cloud Computing certificate is the best way to do that. Our collaboration with Simplilearn allows you to build a strong portfolio of applications to show potential employers. We are excited to offer this practical, hands-on certificate program to tomorrow’s technology leaders.
What You'll Learn
Fast track your career in the Cloud domain via a comprehensive curriculum covering the concepts of Azure, AWS, and services like Amazon EC2, AWS Lambda, Microsoft Azure App Services, and many more as you learn how to apply these skills and techniques.
Skills and Tools
Skills covered:
- VPC Design and Implementation
- Serverless Computing
- Infrastructure as Code
- Containerization and Orchestration
- Monitoring and Diagnostics
- Multi-Cloud Deployment
- High Availability and Fault Tolerance
- Identity and Access Management
- Continuous Integration
- Continuous Delivery
- Cloud cost optimization
- Disaster Recovery
Tools:
- Amazon EC2
- Amazon ECS
- App Services
- AWS Lambda
- Azure Container Services
- Azure Functions
- Elastic Beanstalk
- Virtual Machines
- Amazon DynamoDB
- Amazon RDS
- Azure Cosmos DB
- Azure SQL database
- AWS Cloud formation
- AWS cloudwatch
- Azure Visual Studio Team Server
- Amazon Inspector
- AWS IAM
- Azure Key Vault
- Azure Security Center
- Amazon ELB
- Azure DNS
- Azure Monitor
- Azure Front Door
Project-Based Learning Cases
Project 1: Multi-Cloud Connection Architecture
Architect a multi-cloud strategy for a FinTech company to ensure uninterrupted service availability, confidentiality, and security. Skills: VPC, Load Balancers, VPN.
Project 2: Deployment of MultiCloud Application
Deploy a multi-cloud application for a logistics firm using AWS and Azure platforms to maintain high availability and resiliency. Skills: Load Balancer, VM, AWS EC2, AWS RDS.
Project 3: MultiTimer Web Application
Set up a decoupling of a multi-timer web application deployed on Azure for a healthcare company using services offered by AWS. Skills: AWS SQS, AWS RDS, Azure Monitor VM.
Project 4: Infrastructure Deployment for RealTime Data Management
Optimize your organization's networking with AWS-based NoSQL data warehousing for real-time data analysis and growth. Skills: AWS Management Console, Amazon Kinesis, AWS Lambda.
Project 5: Automating Workloads
Adopt networking architecture using ARM templates to automate infrastructure deployment, enhancing security and efficiency. Skills: IAC, ARM Template, Network Architecture.
Project 6: Configure and Connect Database Instance with a Web Server
Deploy a multi-tier app on AWS setting up a scalable web server and securely storing employee inputs in a MySQL database. Skills: AWS Management Console, Apache Web Server.
Project 7: Deploying Azure Protected GeoRedundant Solution
Build a secure, globally distributed app with path-based routing to optimize user experience. Skills: Load Balancing, Azure Traffic Manager, Application Gateway.
Project 8: WordPress Instance
Set up WordPress for a blogging company: live publishing, development/testing, timed availability, monitoring instance health. Skills: AWS CloudFormation, AWS EC2.
Project 9: Workloads and Assigning Custom Roles
Set up virtual networks with Azure with a custom RBAC role assigned to an employee for network/VM management with strict access control. Skills: Azure AD, VNet peering, RBAC.
Project 10: Realtime Data Management
Build an AWS-based NoSQL data warehousing architecture to optimize networking in underserved markets, leveraging real-time data processing. Skills: Kinesis streams, DynamoDB.
Project 11: Highly Available Architecture
Deploy a highly available web app using Azure public load balancing to avoid VM exposure. They prioritize automation for future deployments. Skills: Azure CLI.
Project 12: VPC with Database and EC2 Instances
Deploy a web application with a secure and scalable database by setting up a secure VPC with public and private subnets. Skills: VPC architecture, AWS EC2, AWS RDS.
Who Should Attend
The Caltech Post Graduate Program In Cloud Computing caters to new grads and working professionals from various industries and backgrounds. Through class discussions and interactions, learners from all industries and across the globe can connect, collaborate, and inspire each other to succeed.
Schedule
The Post Graduate Program in Cloud Computing runs multiple times per year. The duration is roughly eight months from start to finish.
Fee: $4,500
Hours and Credits: Participants will earn 15 Continuing Education Units (CEUs).
Instructors
John Wetsch Masterclass Instructor
Michael Onuoha, Jr. Masterclass Instructor