DevOps with Azure

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 

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 

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 

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

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

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

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

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

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

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.

Yes, the recordings of the trial classes are uploaded.

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.

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.

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.

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.

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.