Python Overview
DevOps is a set of practices, tools and cultural philosophy that automate and integrate the processes between software development and IT teams. It emphasizes team empowerment, cross-team communication and collaboration, and technology automation. A DevOps team includes developers and IT operations working collaboratively throughout the product lifecycle, in order to increase the speed and quality of software deployment. It’s a new way of working, a cultural shift that has significant implications for teams and the organizations they work for. DevOps is definitely a promising career for all IT professionals. In next few years 90% of the companies will adopt DevOps culture. In India average salary for a DevOps professionals with 3 – 4 years of experience is Rs. 15 lac per year.
 
Why KeenSmartz?
·        Hands-On Assignments For Each Module
·        KeenSmartz is the best Python training institute in India. You will get practical training on Python by our Python expert who have industrial experience.
·        At KeenSmartz, we offer the best Python training. We have an excellent network of working professional having over 10 years of experience working in Industry.
·        All our Python instructors are working in Top level MNCs and have min 10 years of experience.
·        KeenSmartz Python Training course is designed by industry experts and to incorporate the latest IT industry requirements.
·        As a Python programmer engineer you will become an expert in python core programming.
·        Python Training from KeenSmartz will make you expert on all Python core programming modules.
·        36 Hours of Live Virtual Training
·        100% student satisfaction rate in Python training.
·        KeenSmartz has excellent trainers for Python with rich experience in industry.
·        Course Completion Certificate
·        KeenSmartz is not just a training provider but an IT solution Provider. We have our Development entity with the name of MSA Biztech
 
Python Training course objectives
·        In-depth DevOps Industry Standards knowledge.
·        Get Expertise on various DevOps Techniques, Continuous Development, Continuous Integration, and Continuous Testing by performing hands-on on GIT, Jenkins and Selenium.
·        In depth knowledge on Configuration Management, and Continuous Deployment using Ansible.
·        Hands on experience on Containerization and Continuous Deployment by performing hands-on on popular tools like Docker and Kubernetes.
·        Hands on the continuous monitoring using Nagios.
·        Hands on automating the all aspects of a modern code delivery and deployment pipeline using Source code management tools.
 
Course Duration
36 Hours of Instructor Led Online Classroom Training
 
Who Can Attend
Ø  IT Professionals
Ø  Software Testers
Ø  System Admins
Ø  Solution Architects
Ø  Security Engineers
Ø  Application Developers
Ø  Integration Specialists
 
Course Contents
Module 1 – Introduction to Python and Computer Programming
Goal: In this module, you will get an overview of DevOps and it’s environment.
Topics Covered:
·        Introduction, Installation and Environment Setup
 
Module 2 – Basic Input-Output Operations, Literals, Data Types, Variables, Basic Operators
Goal: In this module, you will learn what is Source Control Management and the functionalities of Git and Github.
Topics Covered:
·        Basic Input-Output
·        Python literals
·        Python Data Types
·        Variables – data-shaped boxes
·        Operators – data manipulation tools
 
Hands On:
Assignment
 
Module 3 – Boolean Values, Conditional Execution, Loops, Control statements, Logical and Bitwise Operations
Goal: In this module, you can learn how to build an appropriate delivery pipeline and perform test automation on it.
Topics Covered:
·        Making decisions in Python – Conditional Statements
·        Python’s loops
·        Control Statements
·        Logic and bit operations in Python
 
Hands On: 
Assignment
Module 4 – Lists and Tupples
Goal: In this module, You will know how to perform Continuous Integration with the help of Maven build tool and Jenkins by creating deployment pipelines using Jenkins.
 
Topics Covered:
·        Lists – collections of data
·        Tuples
 
Hands On:
Assignment
 
Module 5 – Functions,  Lambda, Filter, Map
Goal: To Understand how to manage and configure your infrastructure using Ansible.
 
Topics Covered:
·        Functions
·        Lambda Operator, Filter, Reduce and Map
Hands On: 
Assignment
Module 6 – Dictionaries, Sets, and Data Processing, List Comprehension
Goal: This module aims to introduce you about the core concepts and technology behind Docker and containers.
Topics Covered:
·        Dictionaries
·        Sets
·        List Comprehension
 
Hands On:
Assignment
 
Module 7 – Modules, Packages
Goal: Learn more advance concepts of Docker. Learn how to use Docker Hub registry, deploy a multi-tier application using Docker Compose, and create a swarm cluster.
 
Topics Covered:
·        Modules
·        Packages
 
Hands On:
Assignment
Module 8 – Strings, Regular expressions
Goal: In this module, you will understand concepts of Container Orchestration and Basic of container management using Kubernetes. You will also learn how to manage multiple Docker Hosts using Kubernetes Orchestration.
Topics Covered:
·        String Manipulation
·        Regular expressions
Hands On:
Assignment
 
Module 9 – Exception, Exception Handling
Goal: To learn and deploy different service discovery mechanisms, utilize Volumes for persistent storage and deploy StatefulSets for Stateful applications.
 
Topics Covered:
·        What is Exception
·        Exception Handling
Hands On:
Assignment
Module 10 – Working with Files
Goal: Learn how to continuously monitor your tasks using various plugins and implementing Nagios Commands
Topics Covered:
·        What is File
·        Working with Files
Hands On: Assignment
 
Module 11 – Live Project (Optional and Additional)
Goal: To understand how to collect, monitor, and visualize data using Prometheus and Grafana.
Hands On: Monitoring using Prometheus, Alerting using Prometheus, Visualization with Grafana Dashboards, Monitoring a Pipeline