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- Statutory Committees
- University Documents
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Advanced DevOps Practices and Capstone Project
GMUSD82
Credits: 2.00
Prerequisites : Basic programming & computer knowledge
Course Duration : 30 Hours / 12 Weeks
Start Date : 2024-08-01
End Date : 2024-10-31
Seats Remaining : 60
Aim & Summary
The "Advanced DevOps Practices and Capstone Project" course aims to equip students with in-depth knowledge and hands-on experience in modern DevOps methodologies. It focuses on advanced concepts such as continuous integration and deployment (CI/CD), infrastructure as code (IaC), container orchestration, and monitoring and logging techniques. The course culminates in a capstone project, where students apply these practices to real-world scenarios, demonstrating their ability to design, implement, and manage complex DevOps workflows effectively.| Week 1 | Scaling DevOps Practices Scaling DevOps in Large Organizations ,Best Practices for Scaling , DevOps Center of Excellence , Hands-On: Scaling DevOps Practices |
| Week 2 | DevOps on Cloud Platforms , Introduction to DevOps on Cloud , AWS DevOps Tools: CodePipeline, CodeBuild, CodeDeploy ,Azure DevOps Services ,Hands-On: Implementing DevOps on AWS |
| Week 3 | DevOps on Google Cloud Platform (GCP) ,GCP DevOps Tools: Cloud Build, Cloud Deploy , Kubernetes Engine on GCP ,Hands-On: Implementing DevOps on GCP |
| Week 4 | Site Reliability Engineering (SRE) ,Introduction to SRE ,SRE Principles and Practices , Monitoring and SLOs , Hands-On: Implementing SRE Practices |
QUIZ 1 |
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| Week 5 | Serverless Computing and DevOps , Introduction to Serverless Computing ,Serverless Frameworks: AWS Lambda, Azure Functions, Google Cloud Functions ,CI/CD for Serverless Applications , Hands-On: Deploying Serverless Applications |
| Week 6 | Serverless Computing and DevOps , Introduction to Serverless Computing ,Serverless Frameworks: AWS Lambda, Azure Functions, Google Cloud Functions ,CI/CD for Serverless Applications ,Hands-On: Deploying Serverless Applications |
| Week 7 | DevOps for Machine Learning ,Introduction to MLOps , CI/CD for Machine Learning Models , Tools for MLOps: Kubeflow, MLflow , Hands-On: Implementing MLOps Practices |
| Week 8 | Emerging Trends in DevOps , AI and Machine Learning in DevOps , GitOps and Policy as Code , NoOps and Autonomous IT , Hands-On: Exploring Emerging Trends |
QUIZ 2 |
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| Week 9 | Capstone Project: Planning and Design ,Project Selection and Planning , Defining Objectives and Scope , Designing the DevOps Pipeline , Initial Setup and Configuration |
| Week 10 | Capstone Project: Implementation and Presentation ,Implementing the DevOps Pipeline , Testing and Optimization , Final Presentation and Demonstration , Project Report Submission |
| Week 11 | - |
| Week 12 | - |
PROJECT REPORT |
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Course Certification
Certificate will have your name, photograph and the score in the final exam with the breakup. It will have the logos of GMU and company handling the course.