THE NEW GENERATION IT CERTIFICATION

Python is one of the most popular and widely used programming languages in the world. In fact, Python has surpassed Java to become the first-choice for developers in data science, AI and machine learning market. It is easy-to-use and versatile. Tech giants like Google, Facebook, Netflix use Python to generate insights from data and build ground-breaking products. The Star Python 3 is a comprehensive training program that introduces learners to the Python development language, the essentials of object-oriented programming, and web development. The purpose of this program is to teach the student how to program in Python and prepare for a career in data science, AI, machine learning, and deep learning.

Star Python 3 starts from the basics and gives a holistic view of the Python programming language, detailing all the aspects of Python from data types, to statements, loops, arrays, strings and functions, further to classes, objects and other important OOP concepts like inheritance, polymorphism and more. Advanced concepts like connecting to databases, interacting with networks and handling concurrency are also discussed to give the learners a wholistic view of the Python development capabilities.

Audience

Beginner to Intermediate

Python Course Objectives

In this course, you will learn about:

• Programming in Python
• Implementing data types, statement, operators and strings
• Implementing OOPs concept in Python
• Creating GUI applications using Python
• Connecting with databases
• Implementing TCP socket connectivity

Course Outcome

After competing this course, you will be able to:

• Create your first program in Python IDLE
• Implement OOPs concepts in your programming
• Use Arrays, and Data structures
• Create an application with the support of graphics in Python
• Implement error handling

Table Of Contents Outline

1. Python: An Introduction
2. Creating Your First Program in Python
3. Data Types: Classifying Data in Python
4. Implementing Input and Output Operations
5. Operators: Performing Logical and Mathematical Operations
6. Statements: Controlling the Flow of Program
7. Strings: A Sequence of Characters
8. Arrays: Arranging Similar Objects Systematically
9. Implementing Functions in Python
10. Lists and Tuples: Managing Data Systematically
11. Dictionaries and Other Data Structures
12. Recursion and Algorithms in Python
13. Implementing OOPs Concepts, Classes and Objects
14. Implementing Inheritance in Python
15. Implementing Polymorphism in Python
16. Interfaces and Abstraction in Python
17. Creating a GUI Using Python
18. Handling Files I/O
19. Connecting to a Database in Python
20. Handling Errors and Exceptions
21. Regular Expressions
22. Interacting with Networks
23. Handling Concurrency Using Threads
24. Handling Numbers, Dates and Time

Labs

25. Implementing Expressions, Variables, Quotes, Basic Math operations, Strings: Basic String Operations & String Methods, List, Tuples, Dictionaries, Arrays.
26. Implementing Statements and Functions
27. Implementing OOPS concepts
28. Implementing Exception Handling and Multithreading
29. Implementing GUI Programming using Tkinter
30. Connecting to MySQL Database
31. Implementing connections with TCP and UDP Sockets in Python

Exam Details

Every IT industry needs to keep a separate track of their development and operation processes independently. As a game-changing technology, DevOps supports modern business processes and makes a big difference in inter-relating these two independent processes. DevOps has software development methods that highlight collaboration and open communication between teams to create robust, more failure-proof software. Teams that have adopted the DevOps ethos have a better chance to handle IT incidents and suffer less downtime. As more and more companies adopt DevOps, it is expected that 80% global fortune companies will benefit from DevOps by 2019.

The Star DevOps Expert (SDE) certification training is the most relevant certification for DevOps practitioners. This certification course will help the learners master the key DevOps concepts including configuration management, continuous integration deployment, delivery and monitoring using DevOps tools such as Git, Docker, Jenkins, Ansible, and Nagios in a practical, hands-on and interactive approach.

The SDE certification focuses on all the major tools required to implement DevOps in an organization. DevOps to automate agile methodology and Docker container are covered in this course, with more emphasis on using multiple tools for implementing DevOps process. Effective implementation of DevOps is to create a trust among development and operation people and how it is possible using Blockchain also feature in this course.

Audience

Beginner – Intermediate

Course Objectives

In this course, you will learn about:

• DevOps methodology and its key concepts
• Linux for DevOps
• Cloud computing and DevOps
• Source code management with Git
• Continuous integration concept
• Configuration management in DevOps
• Popular DevOps tools like Docker, Puppet, Chef and SaltStack
• System monitoring using Splunk
• The concept of version control with Nagios

Course Outcome

After competing this course, you will be able to:

• Explain DevOps methodology and its key concepts
• Understand cloud computing and virtualization concepts
• Use DevOps tools like Ansible, Chef, Jenkins and SaltStack
• Manage source code using Git
• Help organisations to reduce their downtime
• Deploy DevOps concepts to respond faster to client needs
• Explain version control with Nagios

Table Of Contents Outline

1. Basics of Software Engineering Agile Methodology and DevOps Process
2. Exploring Linux for DevOps
3. Cloud Computing and DevOps
4. Managing Source Codes
5. Building the Code
6. Automated Testing and Test-Driven Development
7. Continuous Integration and its Tools
8. Managing Configuration in DevOps
9. Docker in DevOps
10. Puppet and Chef for DevOps
11. SaltStack for DevOps
12. System Monitoring in DevOps using Splunk
13. Nagios for DevOps

Appendix: DevOps and AI-ML

Appendix: DevOps and Blockchain

Appendix: DevOps and Geneos

Appendix: DevOps and IoT 

Exam Details