• Candidates with Computer Science degree or equivalent experience and pursuing their first IT role with the focus on DevOps Engineering.

Prerequisites/Professional Experience:

• Understanding of how computers work
• One or more years technical experience
• Programming experience with Python & SQL would be a plus.

Course Outline:

Agile Scrum Methodology

• Scrum Introduction
• Scrum Team
• Scrum Artifacts
• Sprint Increment
• Spring planning
• Backlog
• Retrospective
• Project description and Case Study
• Practice exam and Knowledge check
• Certification (optional)

SQL

• SQL Fundamentals
• Writing SQL Queries
• Working Tables and Indexes
• Predefined SQL functions
• Connecting Python to SQL
• Certification (optional)

Linux Fundamentals

• Set Up and Overview
• Install virtual machine running Ubuntu Linux
• Linux Fundamentals
• System Administration Basics
• Shell Scripting Overview
• Networking Services

Using Git

• Introduction to Git
• What is a version control system (VCS)?
• What is Git?
• Choosing a default git editor
• Understanding repositories
• Cloning a remote repository
•  Using Git
• git add and git commit
• Commit messages
• Understanding markdown
• git status
• git push and git pull
• git log

Module 3: Creating Branches

• Branches
• Feature branch development
• Feature branch workflow
• Comparing branches
• Merge requests
• Stashing
• Fixing merge conflicts
• Rebasing
• Code review and merges

Python Programming – Fundamentals

• Set Up
• Set up development environment – Jupyter notebooks
• Using python shell
• Executing python script
• Understanding python strings
• Print statements in python
• Data Structures in python
• Integers
• Lists
• Dictionaries
• Tuple
• Sets
• File
• Mutable and Immutable structures
• Selection and Looping Constructs
• If/else/elif statements
• Boolean type
• “in” membership
• For loop
• While Loop
• List and Dictionary Comprehension
• Functions
• Defining functions
• Variable scope – Local and Global
• Arguments
• Polymorphisms
• Modules
• Creating modules
• Importing Modules
• Different types of imports
• Dir and help
• Examining some built-in modules
• Classes & Exceptions
• Object Oriented Programming Introduction
• Classes and Objects
• Polymorphism – Function and Operator Overloading
• Inheritance

Cloud Computing Foundations (AWS or GCP)

• Cloud Computing Overview
• Security with Google’s Cloud Infrastructure
• Understanding resource hierarchy
• IAM – Identity and Access Management
• Different IAM Roles
• Connecting to Google Cloud Platform
• Understanding different compute options
• Working with different Relational and NoSQL databases on GCP
• GCP Data Warehouse: BigQuery

DevOps Overview

• DevOps Overview
• Containers with Docker
• Orchestrating containers with Kubernetes
• Understanding Continuous Integration
• Understanding Continuous Delivery and Deployment

DevOps Overview and Tools

• Principles of continuous software development, integration, and deployment
• DevOps Goals
• Automation
• Version Control
• Testing
• Deployment
• Cloud
• Introduction to Tools (e.g., Git, Docker, Jenkins)
• Repositories, artifacts 

Continuous Integration/Continuous Deployment (CI/CD)

• Introduction to CI/CD concepts
• Continuous Integration Pipelines
• Creating Pipelines
• Automating Deployments
• Exercise: Creating CI/CD Pipelines with Jenkins

Docker

• Docker Overview
• Docker Desktop
• Docker Commands
• Understand Dockerfile
• Building Docker Containers
• How to use Docker, Compose and Kubernetes on your machine for better software building and testing.
• Hand’s-on with best practices for making Dockerfiles and Compose files

Kubernetes

• Introduction to Kubernetes
• Role: container/ service orchestration
• Architecture, clusters
• Automated deployment and operations of containerized applications
• Kubernetes networking
• CNI
• Networks policies, workflow
• Examples: Flannel, Calico
• Automation based on helm charts (optional)
• Container/service image (registry and distribution)
• Introduction to service meshes
• Fundamentals: definition, drivers and use cases
• Example: Envoy and Istio

NoSQL

• Relational v/s Non-Relational Databases
• What are NoSQL databases?
• Types of NoSQL databases

Document Datastore: MongoDB

• MongoDB Introduction
• Understanding Basics and CRUD operations
• Structuring Documents
• Create Operations
• Read Operations on Collections
• Updating Documents
• Deleting Documents
• Working with Indexes
• Working with different data types
• Using MongoDB Compass to explore data visually
• Integrating Apache Spark with MongoDB

Project & Use Case

• Project Overview
• Complete projects to get experience and practice
• Industry Use Case Studies

Certification

• Certification Overview
• Identify the right certification for you
• Tips to prepare for certification

Training material provided: Yes (Digital format)