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This DevOps Architect online Advanced program offered by Intellipaat includes various courses that are designed to help you learn about DevOps, Azure DevOps, AWS DevOps, Kubernetes, Git, GitHub, and more. Completing the program will help you get PLA Credits from Belhaven University.
Learning Format
Online
Duration
119 Hours
Career Services
by Intellipaat
9 PLA Credits from
Belhaven University
EMI Starts
at ₹8,000/month*
This Advanced program in DevOps Architect includes over 10 courses with over 15 industry-relevant projects and assignments to help you gain expertise in the domain. As part of this training, you will learn the complete DevOps methodology as well as master key skills and various essential tools.
About Belhaven University
Belhaven University is known for its nationally recognized academics, top-rated faculty, and affordability. Belhaven strives for excellence in higher education and has achieved prominence in education dating back to 1883. Every student is encouraged to develop and grow to the best of their potential.
Key achievements of Belhaven University:
Upon the completion of this program, you will:
60% Average Salary Hike
46LPA Highest Salary
800+ Career Transitions
300+ Hiring Partners
Career Transition Handbook
*Past record is no guarantee of future job prospects
These professionals work with core services of AWS, including VPC, Elastic Load Balancing, AWS ECS, Lambda, and Route 53.
They create design diagrams and their respective documentation to set the best practices of the organization for adoption of the cloud.
They are responsible for writing the numerous aspects of infrastructure as code with the help of CloudFormation, AWS CDK, and Terraform.
They plan and stand accountable for numerous project deliverables and also make sure that they are of high quality and meet the demands.
They are responsible for integrating new features with existing framework. They have to co-ordinate and manage the product from development stage to deployment.
They are responsible for monitoring the deliverability of the product. They also monitor systems and check its performance, report, and any downtime faced by the system and reason behind it.
Skills to Master
DevOps
DevOps Lifecycle
DevOps Tools
Software Application Containerization with Docker
AWS
Jenkins
Chef
Puppet
Ansible
Nagios
Kubernetes
Git
GitHub
Python
NumPy
SciPy
Matplotlib
Tools to Master
33 Hours 11 Module
Module 01 – Infrastructure Setup
Module 02 – Introduction to DevOps
Module 03 – Version Control with Git
Module 04 – Containerization Using Docker
Module 05 – Configuration Management using Puppet
Module 06 – Configuration Management using Ansible
Module 07 – Continuous Testing using Selenium
Module 08 – Continuous Integration with Jenkins
Module 09 – Continuous Orchestration Using Kubernetes
Module 10 – Continuous Monitoring using ELK
Module 11 – Terraform Modules & Workspaces
36 Hours 14 Module
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
16 Hours 24 Module
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
12 Hours 6 Module
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)
42 Hrs 12 Module
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
70 Hours 26 Module
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
70 Hours 36 Module
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
16 Hours 10 Module
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
35 Hours 10 Module
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
30 Hours 7 Module
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
10 Hours 9 Module
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
Projects will be a part of your DevOps Architect Master’s program to consolidate your learning. It will ensure that you have real-world experience in DevOps.
Practice 100+ Essential Tools
Designed by Industry Experts
Get Real-world Experience
Admission Details
The application process consists of three simple steps. An offer of admission will be made to selected candidates based on the feedback from the interview panel. The selected candidates will be notified over email and phone, and they can block their seats through the payment of the admission fee.
Submit Application
Tell us a bit about yourself and why you want to join this program
Application Review
An admission panel will shortlist candidates based on their application
Admission
Selected candidates will be notified within 1–2 weeks
Total Admission Fee
EMI Starts at
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Financing Partners
Date | Time | Batch Type | |
---|---|---|---|
Regular Classes | 14th Dec 2024 | 08:00 PM IST | Weekend (Sat-Sun) |
This online DevOps Architect Advanced program will give you the hands-on experience you will need in the industry and help you become a successful DevOps Architect with a strong background in various essential skillsets and tools. All the program courses meet industry standards and requirements. After completion of the program, you will receive PLA Credits from Belhaven University.
As part of the program, you will also get the opportunity to work on several industry-relevant projects and assignments. Completing the program will qualify you to apply to some of the top-paying jobs worldwide.
To get the certification, you will need to sign up for our DevOps Architect online Advanced program. Once you successfully complete the program under the guidance of the faculty at Belhaven University, including the projects and assignments, you will receive PLA Credits from Belhaven University.
You can contact our course advisors for more information on the DevOps Architect Advanced program. You will receive all the assistance you require relating to the program.
Our Learning Management System (LMS) ensures a customized learning experience that includes both live sessions & self-paced videos. In case you miss a live session, you will be able to watch the recorded video of the session so you don’t have to worry about missing out on a lesson.
Belhaven University PLA Credits Assessed for this course is 9.
*Note, there is a maximum number of PLA credits that may be applied toward a degree program. Refer to the Belhaven University website for the latest on PLA policies.
Please note that the course fees is non-refundable and we will be at every step with you for your upskilling and professional growth needs.
Due to any reason you want to defer the batch or restart the classes in a new batch then you need to send the batch defer request on [email protected] and only 1 time batch defer request is allowed without any additional cost.
Learner can request for batch deferral to any of the cohorts starting in the next 3-6 months from the start date of the initial batch in which the student was originally enrolled for. Batch deferral requests are accepted only once but you should not have completed more than 20% of the program. If you want to defer the batch 2nd time then you need to pay batch defer fees which is equal to 10% of the total course fees paid for the program + Taxes.
Yes, Intellipaat certification is highly recognized in the industry. Our alumni work in more than 10,000 corporations and startups, which is a testament that our programs are industry-aligned and well-recognized. Additionally, the Intellipaat program is in partnership with the National Skill Development Corporation (NSDC), which further validates its credibility. Learners will get an NSDC certificate along with Intellipaat certificate for the programs they enroll in.
What is included in this course?