DevOps with Azure

The DevOps Engineer Course helps you develop the key skills necessary to become a DevOps expert. You will master Configuration Management, Continuous Integration, Deployment, Delivery, and Monitoring using DevOps tools. These tools include Git, Docker, Chef, Jenkins, Puppet, and Nagios in a practical, hands-on, interactive approach. Enhance your understanding of the fundamentals of Agile and Scrum methodologies and gain knowledge using Microsoft Azure cloud platform.

15,000.00 12,000.00Add to cart

  • Course Overview
  • program highlights
  • Pre Requisites
  • Projects
  • Tools Covered
  • Career Centre
  • Syllabus
  • FAQ
 

 Program Highlights 

 

Why Choose DevOps with Azure Program?

 

 
Interactive learning anywhere

Attend online classes led by our top-notch faculty from anywhere in the world. Ask questions, engage with your peers.

 

 
Project Based Education

Apply data analysis techniques to solve real-world problems & build machine learning models to solve industry grade data problems

 

 
Specialize through our electives

Specialize from a variety of electives including Advanced Machine Learning, Data Analytics with R, Deep Learning etc.

 

 
Industry Focus

Choose projects from Ecommerce, BFSI, Telecom, Retail & become a domain specialist in the application of data science & machine learning.

 

 Projects 

Real world datasets from companies like Nike, Yelp, Amazon, Netflix etc. are provided to our students

 

Study of IPL data 

 

Process, transform, and analyse the data to find the winner for each season and the top 5 batsmen with maximum runs in each season and overall

 

Analysis of Zomato data

 

Zomato contains 9K+ rows of data with 21 variables on popular cuisines and best restaurants.

 

Evaluation of Amazon electronic product sales

 

Analyse product sales based on customers reviews and ratings.Amazon reviews contains 142.8 million rows of review data on popular products.

 

 

 Career Centre 

Exclusive Interview Preparation Guides, Career Support, Placement Opportunity and many more...!

 

Career Booster

Interview Preparation Guides,Extra sessions on cutting edge technologies

 

Real World Projects

Integrating real world projects to make your resume world class

 

Workshops

Exclusive Resume Workshop session by an expert.

 

Placement Opportunity

Post assessment, we provide jobs and internships to qualified students In Tech Mahindra*

 

 

 Program Highlights 

 

Why Choose DevOps with Azure Program?

 

 
Interactive learning anywhere

Attend online classes led by our top-notch faculty from anywhere in the world. Ask questions, engage with your peers.

 

 
Project Based Education

Apply data analysis techniques to solve real-world problems & build machine learning models to solve industry grade data problems

 

 
Specialize through our electives

Specialize from a variety of electives including Advanced Machine Learning, Data Analytics with R, Deep Learning etc.

 

 
Industry Focus

Choose projects from Ecommerce, BFSI, Telecom, Retail & become a domain specialist in the application of data science & machine learning.

 

 Projects 

Real world datasets from companies like Nike, Yelp, Amazon, Netflix etc. are provided to our students

 

Study of IPL data 

 

Process, transform, and analyse the data to find the winner for each season and the top 5 batsmen with maximum runs in each season and overall

 

Analysis of Zomato data

 

Zomato contains 9K+ rows of data with 21 variables on popular cuisines and best restaurants.

 

Evaluation of Amazon electronic product sales

 

Analyse product sales based on customers reviews and ratings.Amazon reviews contains 142.8 million rows of review data on popular products.

 

 

 Career Centre 

Exclusive Interview Preparation Guides, Career Support, Placement Opportunity and many more...!

 

Career Booster

Interview Preparation Guides,Extra sessions on cutting edge technologies

 

Real World Projects

Integrating real world projects to make your resume world class

 

Workshops

Exclusive Resume Workshop session by an expert.

 

Placement Opportunity

Post assessment, we provide jobs and internships to qualified students In Tech Mahindra*

 

 

 Pre Requisites 

 

Learners taking the DevOps online training course must be from a technical background with an understanding of Linux fundamentals, Web Development fundamentals, and Java fundamentals.

 

 

 Projects 

Real world datasets from companies like Nike, Yelp, Amazon, Netflix etc. are provided to our students

 

Study of IPL data 

 

Process, transform, and analyse the data to find the winner for each season and the top 5 batsmen with maximum runs in each season and overall

 

Analysis of Zomato data

 

Zomato contains 9K+ rows of data with 21 variables on popular cuisines and best restaurants.

 

Evaluation of Amazon electronic product sales

 

Analyse product sales based on customers reviews and ratings.Amazon reviews contains 142.8 million rows of review data on popular products.

 

 Tools Covered 

 

 Career Centre 

Exclusive Interview Preparation Guides, Career Support, Placement Opportunity and many more...!

 

Career Booster

Interview Preparation Guides,Extra sessions on cutting edge technologies

 

Real World Projects

Integrating real world projects to make your resume world class

 

Workshops

Exclusive Resume Workshop session by an expert.

 

Placement Opportunity

Post assessment, we provide jobs and internships to qualified students In Tech Mahindra*

 

 

 Syllabus 

Week 1

Module 1: Introduction to DevOps 
Module 2: Learning Objectives 
Module 3: DevOps Overview 
Module 4: Relationship between Agile and DevOps 
Module 5: DevOps Toolchain 
Module 6: DASA DevOps Principles 
Module 7: Challenges with the Traditional Approach 
Module 8: Addressing Challenges through DevOps 
Module 9: DevOps Approach to the challenges 
Module 10: Overview of DevOps Tools 
Module 11: Best Practices for DevOps 
Module 12: Categories of DevOps Tools 
Module 13: DevSecOps and Its Manifesto 
Module 14: Workflow of DevOps and DevSecOps 
Module 15: Key Takeaways 

Week 2

Module 16: Version Control Systems
Module 17: Learning Objectives 
Module 18: Overview of Version Control Systems 
Module 19: Role of Version Control Systems 
Module 20: Types of Control Systems and Their Supporting Tools 
Module 21: Overview of Git 
Module 22: Overview of Source code and Version Control Hosts 
Module 23: Deploy the Files to GitHub via Git 
Module 24: Assisted Practice: Deploy to GitHub via Git
Module 25: Key Takeaways 

Week 3

Module 26: Continuous Integration, Continuous Deployment, and Build Tools 
Module 27: Learning Objectives 
Module 28: Overview and Importance of Continuous Integration and Continuous Deployment 
Module 29: Overview and Features of Jenkins 
Module 30: Set up Jenkins 
Module 31: Assisted Practice: Install and Configure Jenkins
Module 32: Overview and the Features of TeamCity 
Module 33: Set up TeamCity 
Module 34: Assisted Practice: Install and Configure TeamCity
Module 35: Build Tools and Their Uses 
Module 36: Continuous Integration with Jenkins and Maven 
Module 37: Assisted Practice- Continuous Integration with Jenkins, Git, and Maven
Module 38: Key Takeaways 

Week 4

Module 39: Software and Automation Testing Frameworks
Module 40: Learning Objectives
Module 41: Software Testing Overview
Module 42: Testing Levels Approaches and Automation Tools
Module 43: Test-Driven Development Approaches and JUnit
Module 44: Test-Driven Development Approach with JUnit
Module 45: Assisted Practice: TDD with JUnit
Module 46: Assisted Practice: Cucumber Installation
Module 47: Behavior-Driven Development Principles Cucumber and Its Applications
Module 48: Behavior-Driven Development Approach with Cucumber
Module 49: Assisted Practice: Cucumber with JavaScript

Week 5

Module 50: Configuration Management Tools
Module 51: Learning Objectives
Module 52: Overview of Configuration Management Tools
Module 53: Managing Infrastructure
Module 54: Types of Configuration Management Tools
Module 55: Overview of Puppet
Module 56: Demonstrate Puppet Configuration
Module 57: Assisted Practice: Setup Puppet
Module 58: Overview of Chef
Module 59: Assisted Practice: Setup Chef
Module 60: Demonstrate Chef Configuration
Module 61: Overview of Ansible
Module 62: Set Up Apache Web Server Using Ansible
Module 63: Assisted Practice: Setup Apache Web Server Using Ansible
Module 64: Overview of SaltStack
Module 65: Comparison of Ansible Puppet Chef and SaltStack
Module 66: Key Takeaways

Week 6

Module 67: Containerization with Docker
Module 68: Learning Objectives
Module 69: Overview of Docker
Module 70: Overview of Virtualization
Module 71: Docker Installation on Multiple OS
Module 72: MySQL Database in Docker Container
Module 73: Assisted Practice: Run MySQL database in Docker Container
Module 74: Docker Installation on Multiple OS
Module 75: Using Docker Compose to Manage a Container
Module 76: Assisted Practice: Docker Compose wit Centos
Module 77: Docker Registry
Module 78: Run Docker Registry with Centos
Module 79: Assisted Practice: Docker Registry with Centos
Module 80: Docker Networking
Module 81: Demonstrate Docker Networking with Two SSHs
Module 82: Assisted Practice: Docker Networking with 2 SSHs
Module 83: Key Takeaways

Week 7

Module 84: Continuous Monitoring
Module 85: Learning Objectives
Module 86: Overview of Continuous Monitoring
Module 87: Types of Monitoring Systems
Module 88: Demonstrate Nagios
Module 89: Working with Nagios Monitoring Tool
Module 90: Assisted Practice: Working with Nagios Monitoring Tool
Module 91: Overview of Grafana
Module 92: ELK Stack
Module 93: Key Takeaways

Week 8

Module 94: Need of Cloud in DevOps
Module 95: Learning Objectives
Module 96: Overview of Cloud Computing
Module 97: Cloud Services and Models
Module 98: Using AWS in DevOps
Module 99: Kubernetes
Module 100: Add a Linux Node to the Kubernetes Cluster
Module 101: Key Takeaways
Module 102: Assisted Practice: Install Kubernetes, Pod Configuration, and Joining another Linux node to cluster

Week 9

Module 103: Practice Projects
Module 104: Manage and Monitor the docker containers with dry tool
Module 105: Automated delivery of WordPress Application on Kubernetes

 

 

 FAQ 

Where and when do the classes takes place?

All the courses are instructor-led and take place online. The online interface lets you and the faculty have a two-way interaction. It’s as good as sitting in a physical classroom.

All classes take place over the weekends in the mornings. There’ll be one class of 2 to 2.5 hours on Saturdays and Sundays each. This means that you can now acquire in-demand skills without compromising on your schedule.

Can i watch recording of the trail sections before enrolling?

Yes, the recordings of the trial classes are uploaded.

What is the benefit of taking online instructor-led courses?

In physical classrooms, students generally feel hesitant to ask questions. If you miss any class or didn’t understand some concepts, you can’t go through the class again. However, in online courses, it’s possible to do that. We share the recordings of all our classes after each class with the student. Also, there’s no hassle of long distance commuting and disrupting your schedule.

what kind of projects will i be working on?

We believe that unless you implement the concepts studied in the classes, you are unable to join the dots and hence can’t see the entire picture. Our capstone projects let you apply the learned concepts to real-world data sets. You’ll be working on real-time data-sets (which can run in 100s of MBs or possibly in GBs!) which you get to choose from a variety of domains such as retail, finance, social media, healthcare, etc. These datasets have been curated from top sources such as World Bank, US Health Department, Carnegie Mellon, Stanford and many more.

Where & how will i practice?

You’ll get access to our virtual computing lab through the login credentials provided to you. The virtual machines will enable you to work on “Big Data” sets for your projects and practice hands-on too.

Do i get a certificate of completion or certification?

We provide certification of completion to students who attend at least 70% of the classes. After the course ends, we conduct a certification exam that evaluates them on the skills they have learnt. Certification from Hatigen is provided to only those who clear the exam. The exam is purely case-based and not even a single theory question is asked.

Do you provide career assistance?

We provide career workshops and industry immersion sessions to help you become ready for roles you are aspiring for. We also help you in resume review and interview preparation. If you diligently follow our advice, you should start getting interview calls as soon as you finish the course.

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