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Advanced Certification Program in DevOps
Online
119 Hours
75,012 INR Interested in this College?
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Quick Facts
| Medium Of Instructions | Mode Of Learning | Mode Of Delivery | Frequency Of Classes |
|---|---|---|---|
| English | Self Study, Virtual Classroom | Video and Text Based | Weekends |
Courses and Certificate Fees
| Certificate Availability | Certificate Providing Authority |
|---|---|
| yes | IBMBelhaven University, Mississippi |
The fees for course is Advanced Certification Program in DevOps is -
| Head | Amount |
| Total Admission Fee | ₹ 75,012 |
| EMI Starts at | ₹ 8,000 |
The Syllabus
- Module 01 – Infrastructure Setup
- Module 02 – Introduction to DevOps
- Module 03 – Version Control with Git
- Module 04 – Containerization Using Docker – 1
- Module 05 – Configuration Management using Puppet
- Module 06 – Ansible
- Module 07 – Continuous Testing using Selenium
- Module 08 – Continuous Integration with Jenkins
- Module 09 – Introduction to Kubernetes Part 1
- Module 10 – Introduction to Kubernetes Part 2
- Module 11 – Continuous Monitoring using ELK
- Module 12 – Terraform Modules & Workspaces
- Module 01 – Introduction to Cloud Computing & AWS
- Module 02 – Elastic Compute and Storage Volumes
- Module 03 – Load Balancing, Autoscaling and DNS
- Module 04 – Virtual Private Cloud
- Module 05 – Storage – Simple Storage Service (S3)
- Module 06 – Databases and In-Memory DataStores
- Module 07 – Management and Application Services
- Module 08 – Access Management and Monitoring Services
- Module 09 – Automation and Configuration management
- Module 10 – AWS Migration
- Module 11 – Architecting AWS – whitepaper
- Module 12 – DevOps on AWS
- Module 13 – Amazon FSx and Global Accelerator
- Module 14 – AWS Architect Interview Questions
- Module 01 – Introduction to Kubernetes
- Module 02 – Kubernetes Architecture
- Module 03 – Introduction to Pods and Services
- Module 04 – Introduction to Volumes
- Module 05 – Ingress, Dashboard, and Kubernetes best security practices
- Module 06 – Monitoring
- Module 01 – Introduction to Git
- Module 02 – Architecture of Git
- Module 03 – Working with remote repositories
- Module 04 – Branching and Merging
- Module 05 – Git Methodology
- Module 06 – Git plugin with IDE (Eclipse)
- Module 01 – Python Environment Setup and Essentials
- Module 02 – Python language Basic Constructs
- Module 03 – OOP concepts in Python
- Module 04 – Database connection
- Module 05 – NumPy for mathematical computing
- Module 06 – SciPy for scientific computing
- Module 07 – Matplotlib for data visualization
- Module 08 – Pandas for data analysis and machine learning
- Module 09 – Exception Handling
- Module 10 – Multi Threading & Race Condition
- Module 11 – Packages and Functions
- Module 12 – Web scraping with Python
- Module 01 – Introduction to Cloud Computing & AWS
- Module 02 – Database services
- Module 03 – Object Storage
- Module 04 – Autoscaling and load balancing
- Module 05 – Virtual Private Cloud
- Module 06 – Application services, AWS Lambda and CLI
- Module 07 – IAM and monitoring
- Module 08 – Configuration management and automation
- Module 09 – Architecting AWS – whitepaper
- Module 10 – AWS Architect Questions
- Module 11 – AWS Migration
- Module 12 – AWS Security
- Module 13 – Infrastructure Setup
- Module 14 – Introduction to DevOps
- Module 15 – Software Version Control
- Module 16 – Containerization using Docker – Part I
- Module 17 – Containerization using Docker – Part II
- Module 18 – Configuration Management using Puppet
- Module 19 – Configuration Management using Ansible
- Module 20 – Continuous Testing
- Module 21 – Continuous Integration using Jenkins
- Module 22 – Continuous Orchestration using Kubernetes
- Module 23 – Continuous Monitoring using Nagios
- Module 24 – DevOps on AWS
- Module 25 – Deploying Infrastructure with Terraform
- Module 26 – Terraform Modules & Workspaces
- Module 01 – Introduction to Microsoft Azure
- Module 02 – Introduction to ARM & Azure Storage
- Module 03 – Introduction to Azure storage
- Module 04 – Azure Virtual Machines
- Module 05 – Azure App and Container service
- Module 06 – Azure Networking – I
- Module 07 – Azure Networking – II
- Module 08 – Authentication and Authorization in Azure using RBAC
- Module 09 – Microsoft Azure Active Directory
- Module 10 – Azure Monitoring
- Module 11 – Infrastructure Setup
- Module 12 – Introduction to DevOps
- Module 13 – Continuous Testing
- Module 14 – Continuous Integration using Jenkins
- Module 15 – Software Version Control
- Module 16 – Continuous Deployment: Containerization with Docker
- Module 17 – Containerization with Docker: Ecosystem and Networking
- Module 18 – Configuration Management using Puppet
- Module 19 – Configuration Management using Ansible
- Module 20 – Continuous Orchestration using Kubernetes
- Module 21 – Continuous Monitoring using Nagios
- Module 22 – Terraform Modules & Workspaces
- Module 23 – Azure DevOps and Azure Repos
- Module 24 – Azure Artifacts and Azure Test Plans
- Module 25 – Azure Pipelines
- Module 26 – Azure Boards
- Module 27 – Terraform with Azure
- Module 28 – MAVEN
- Module 29 – SONARQUBE
- Module 30 – XLDEPLOY
- Module 31 – TEAMCITY
- Module 32 – JFROG
- Module 33 – MS BUILD
- Module 34 – NEXUS
- Module 35 – NPM
- Module 36 – ELK
- Module 01 – Introduction to Linux
- Module 02 – File Management
- Module 03 – Files and Processes
- Module 04 – Introduction to Shell Scripting
- Module 05 – Conditional, Looping statements and Functions
- Module 06 – Text Processing
- Module 07 – Scheduling Tasks
- Module 08 – Advanced Shell Scripting
- Module 09 – Database Connectivity
- Module 10 – Linux Networking
- Module 01 – Azure Fundamentals
- Module 02 – Introduction to Terraform
- Module 03 – Terraform Installation
- Module 04 – Terraform Configuration Management
- Module 05 – Provisioners, Loops, Built-in Functions, & Data Source
- Module 06 – Terraform Workflow & State Management
- Module 07 – Workspace in Terraform
- Module 08 – Terraform Security & Command Line Interface (CLI)
- Module 09 – Terraform Cloud & Enterprise Capabilities
- Module 10 – Azure DevOps Hands-on labs
- Module 01 – JIRA Software for Beginners
- Module 02 – Dashboards
- Module 03 – Admin Interface
- Module 04 – JIRA Administration
- Module 05 – JIRA Workflows
- Module 06 – Overview of Some Use Cases
- Module 07 – JIRA Plugins
- Module 01 – Introduction to Docker
- Module 02 – Storing Data in Docker
- Module 03 – Docker Compose
- Module 04 – Container Orchestration
- Module 05 – Networking in Docker
- Module 06 – Docker Monitoring
- Module 07 – Introduction to Kubernetes
- Module 08 – Kubernetes Architecture
- Module 09 – Introduction to Pods and Services
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