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Python Certification Course Overview

This Python Training course covers the fundamentals of Python and how to apply it to real-world applications. The modules, lesson-end projects, and assignments comprising the curriculum cover data operations in Python, strings, conditional statements, error handling, shell scripting, web scraping and the commonly used Python web framework Django.

Python, like any programming language, has its share of challenging topics that learners often encounter.

Python Development Training Key Features

100% Money Back Guarantee
No questions asked refund*
At Fiesttech, we value the trust of our patrons immensely. But, if you feel that this Python Development Training does not meet your expectations, we offer a 7-day money-back guarantee. Just send us a refund request via email within 7 days of purchase and we will refund 100% of your payment, no questions asked!
  • Web Development
  • Data Analysis and Visualization
  • Machine Learning and AI
  • Scripting and Automation
  • Database Connectivity
  • Version Control
  • Real-World Projects

Skills Covered

  • Web scraping
  • Objectoriented programming
  • Operators
  • Methods
  • Django
  • Indexing
  • Sets
  • Dictionaries
  • Conditional statements
  • Loops
  • Functions
  • File handling
  • Errors and exceptions
  • Shell scripting
+ Read More - Read Less

Benefits

The StackOverflow’s developer survey of 2019 states that Python is the second most loved programming language in the world. Also, it is the most sought after programming language for Data Scientists, AI engineers, and Machine Learning engineers. Python developers earn around $115,000 per annum.

Designation
Annual Salary
Hiring Companies
Annual Salary
80k
120k
180k
Min
Average
Max
Hiring Companies
Annual Salary
80k
120k
180k
Min
Average
Max
Hiring Companies
Annual Salary
80k
120k
180k
Min
Average
Max
Hiring Companies
Annual Salary
80k
120k
180k
Min
Average
Max
Hiring Companies

REACH OUT TO US FOR MORE INFORMATION


+91 844 844 0724

info@fiesttech.com
GO AT YOUR OWN PACE

Training Options

Explore all of our training options and pick your suitable ones to enroll and start learning with us! We ensure that you will never regret it!

SELF-PACED LEARNING
150
  • Object-Oriented Programming (OOP)
  • Recursion, Generators and Iterators
  • Decorators, Concurrency and Threading
  • Metaclasses, File I/O, Regular Expressions
  • Closures and Scopes
  • Memory Management
  • 24*7 Instructor Assistance with Hands on topics
  • Learner support with real time use cases
ONLINE BOOTCAMP
220
  • Everything in the Self Paced Course, Plus
  • Error Handling
  • Performance Optimization
  • Advanced Data Structures
  • Scientific Computing Libraries
  • Web Frameworks and Libraries
  • Machine Learning and Data Science Libraries
  • Lifetime access to high-quality self-paced e-learning content and live class recordings
  • 24x7 learner assistance and support

Classes Starting From :

28th Nov: Weekday Class

19th Nov: Weekend Class

Job Guarantee Training Program
Customized to your need
  • Blended learning delivery model
  • Self-paced eLearning and/or instructor-led options
  • Real world Python exercises
  • Mock Interview preparation
  • Marketing your Python profile and Job Assistance
  • Flexible pricing options
  • Enterprise grade Learning Management System (LMS)
  • Enterprise dashboards for individuals and teams
  • 24x7 learner assistance and support

Python Course Curriculum

Eligibility

  • There are no strict eligibility criteria for learning Python, as it is suitable for individuals of various backgrounds and skill levels.
  • Python is often taught to beginners, but it can also be valuable for experienced programmers looking to add a versatile language to their toolkit.
  • Python training programs are open to individuals of all ages, educational backgrounds, and professional domains.

Pre-requisites

  • Basic Computer Skills: Familiarity with using a computer, navigating the file system, and working with software applications is essential.

  • No Prior Programming Knowledge Required: Python is beginner-friendly and can be learned without prior programming experience.

Read More Read Less

Course Content

Live Course

Self Paced

  • 1.01 - Lesson 01: Python Basics
    0
  • 1.02 - Lesson 02: Data Operations
    0
  • 1.03 - Lesson 03: Conditional Statements and Functions
    0
  • 1.04 - Lesson 04: Error Handling and File Operations
    0
  • 1.05 - Lesson 05: Shell Scripting and Django
    0
  • 1.06 - Lesson 06: Logging Infrastructure
    0
  • 1.07 - Lesson 07: Unittest Infrastructure
    0
  • 1.08 - Lesson 08: Networking Concepts
    0
  • 2.01 - 1.1 Course Introduction
    01:21
  • 2.02 - 1.2 Learning Objectives
    02:49
  • 2.03 - 1.3 Introduction to Python and It s Features
    08:22
  • 2.04 - 1.4 Python Introduction - Uses and Flavours
    06:22
  • 2.05 - 1.5 Python Introduction - Why Python
    00:55
  • 2.06 - 1.6 Software Installation and Environment Setup
    01:11
  • 2.07 - 1.7 Demo: Software Installation and Environment setup
    05:55
  • 2.08 - 1.8 Data Types
    08:44
  • 2.09 - 1.9 Input Output Functions
    01:43
  • 2.10 - 1.10 Demo: Data Types and Input Output Functions
    10:11
  • 2.11 - 1.11 Key Takeaways
    00:33
  • 3.01 - 2.1 Learning Objectives
    00:34
  • 3.02 - 2.2 Data Type Conversion
    04:34
  • 3.03 - 2.3 Arithematic Operators
    02:49
  • 3.04 - 2.4 Comparision Operators
    03:55
  • 3.05 - 2.5 Assignment Operators
    04:55
  • 3.06 - 2.6 Bitwise Operators
    01:49
  • 3.07 - 2.7 Demo: Data Operations
    00:49
  • 3.08 - 2.8 String Methods
    05:11
  • 3.09 - 2.9 Demo: String Operations
    05:33
  • 3.10 - 2.10 List Methods
    03:55
  • 3.11 - 2.11 Demo: List Operations
    02:11
  • 3.12 - 2.12 Tuple Methods
    03:11
  • 3.13 - 2.13 Demo: Tuple Operations
    01:11
  • 3.14 - 2.14 Sets Methods
    01:49
  • 3.15 - 2.15 Dictionary Methods
    01:49
  • 3.16 - 2.16 Demo: Dictionary Operations
    02:11
  • 3.17 - 2.17 Key Takeaway
    00:23
  • 4.01 - 3.1 Learning Objective
    00:20
  • 4.02 - 3.2 Expressions
    03:23
  • 4.03 - 3.3 Conditional Statement
    03:05
  • 4.04 - 3.4 Demo - Conditional Statement
    04:44
  • 4.05 - 3.5 Loops - for loop
    02:49
  • 4.06 - 3.6 Loops - while loop
    01:49
  • 4.07 - 3.7 Demo - Loops
    02:11
  • 4.08 - 3.8 Functions
    02:49
  • 4.09 - 3.9 Demo - Functions
    02:49
  • 4.10 - 3.10 Key Takeaway
    02:49
  • 5.01 - 4.1 Learning Objective
    00:24
  • 5.02 - 4.2 File Handling
    02:49
  • 5.03 - 4.3 Demo - File Handling
    04:22
  • 5.04 - 4.4 Errors
    04:56
  • 5.05 - 4.5 Exceptions
    05:22
  • 5.06 - 4.6 Demo - Errors and Exceptions
    05:56
  • 5.07 - 4.7 Logging
    06:11
  • 5.08 - 4.8 Demo - Logging
    04:54
  • 5.09 - 4.9 Python Debugger(Pdb Module)
    03:49
  • 5.10 - 4.10 Demo - Python Debugger
    04:54
  • 5.11 - 4.11 Objects and Classes
    04:44
  • 5.12 - 4.12 Objects and functions
    05:11
  • 5.13 - 4.13 Demo - Object Oriented Programming
    10:45
  • 5.14 - 4.14 Key Takeaway
    00:33
  • 6.01 - 5.1 Learning Objective
    02:49
  • 6.02 - 5.2 Shell Scripting
    02:49
  • 6.03 - 5.3 Sys, OS and Sub-Process module
    04:44
  • 6.04 - 5.4 Reading Writing Files and Working with Date-time Module
    01:49
  • 6.05 - 5.5 Demo - Shell Scripting in Python
    05:34
  • 6.06 - 5.6 Web Scrapping
    03:49
  • 6.07 - 5.7 Demo - Web Scrapping using Beautiful Soup
    01:49
  • 6.08 - 5.8 Django - Intro and Architecture
    05:34
  • 6.09 - 5.9 Demo - Django Installation
    07:43
  • 6.10 - 5.10 Key Takeaway
    02:49
  • 7.01 - 6.01 Learning Objectives
    02:49
  • 7.02 - 6.02 Introduction to Python Logging
    01:49
  • 7.03 - 6.03 Concepts of Python Logging
    04:12
  • 7.04 - 6.04 Changing the Format of Logs
    05:55
  • 7.05 - 6.05 Python Logger
    05:54
  • 7.06 - 6.06 Using Python Logging
    02:49
  • 7.07 - 6.07 Logging Handlers and Formatters
    02:49
  • 7.08 - 6.08 Logging Flow
    05:54
  • 7.09 - 6.09 Configuring Logging
    01:23
  • 7.10 - 6.10 Extending Logging
    02:49
  • 7.11 - 6.11 Buffering Logs
    00:49
  • 7.12 - 6.12 Logging Best Practices
    03:49
  • 7.13 - 6.13 Rotating Log Files
    01:49
  • 7.14 - 6.14 Logging to a File
    02:49
  • 7.15 - 6.15 Summary
    00:11
  • 8.01 - 7.01 Learning Objective
    02:49
  • 8.02 - 7.02 Introduction to Unit Testing
    05:49
  • 8.03 - 7.03 Introduction to Unittest Framework
    02:49
  • 8.04 - 7.04 Concept of Unittest Framework
    01:23
  • 8.05 - 7.05 Command Line
    02:49
  • 8.06 - 7.06 Python Unittest
    02:49
  • 8.07 - 7.07 Using Python Unittest
    06:43
  • 8.08 - 7.08 Testing for Exceptions
    03:49
  • 8.09 - 7.09 Test Fixtures
    02:49
  • 8.10 - 7.10 Python Assertions
    01:22
  • 8.11 - 7.11 Classes and Functions
    06:11
  • 8.12 - 7.12 Pros and Cons
    07:11
  • 8.13 - 7.13 Mock object library
    01:43
  • 8.14 - 7.14 Summary
    02:11
  • 9.01 - 8.01 Learning Objective
    00:31
  • 9.02 - 8.02 Introduction to Python Networking
    04:49
  • 9.03 - 8.03 Sockets
    03:11
  • 9.04 - 8.04 Socket Programming
    06:54
  • 9.05 - 8.05 Working with Python Networking
    06:11
  • 9.06 - 8.06 Data Models
    00:56
  • 9.07 - 8.07 Building Client-Server Communication
    06:11
  • 9.08 - 8.08 Socket Types
    02:11
  • 9.09 - 8.09 TCP Sockets
    04:22
  • 9.10 - 8.10 The Tornado Frameworrk
    06:11
  • 9.11 - 8.11 Building a Python Chat Server
    10:12
  • 9.12 - 8.12 Summary
    00:11
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Python Development Training Exam & Certification

To obtain the Python certification, you must:

Complete 85 percent of the online self-learning course or attend 1 complete batch of this training
Successful evaluation in the project


You must have a computer with:

Chrome or Chromium browser
Strong internet access
Webcam
Microphone, speakers, and headset

A Python development training exam is an assessment that evaluates your knowledge and skills in Python programming. Upon passing the exam, you receive a certification that confirms your expertise in Python development.

  • Python certifications can enhance your resume and credibility as a Python developer.
  • They demonstrate your commitment to learning and improving your skills.
  • Some employers require or prefer candidates with certifications.
  • Certifications can open up career opportunities and potentially lead to higher salaries.

Some popular Python certifications include:

  • Python Institute's PCAP (Certified Associate in Python Programming)
  • Python Institute's PCPP (Certified Professional in Python Programming)
  • Microsoft's Microsoft Certified: Python Developer Associate
  • Oracle's Oracle Certified Associate, Java SE 11/Python Developer
  • Google's Python for Data Science Certification
FAQS

Python Development Training Course FAQs

Python language has a simple syntax and English-like commands which makes it easy to learn. However, to become a Python programmer, you need a higher level of expertise and understand how to use it in a variety of applications. This Python course can help you get hands-on experience in using Python and its powerful libraries that is required to become a Python programmer.

Fiesttech’s Python training is offered by highly qualified trainers who have years of proven experience in Python programming and have worked on various industry projects. They also have rich experience in training students and giving them the best learning environment.

This Python certification course is ideal for professionals willing to become software developers or preparing for any data-related role like data scientist, data analyst, or AI engineer.

According to ZipRecruiter, the average annual salary of a Python Programmer in the United States is $115,066. By getting Python certified, such professionals can further increase their salary.

If you miss any session, you can refer to the recordings that are provided after each class.

Yes, we do provide Data Science with Python course for the aspirants who are looking to make their career in Data Science. It is recommended to enroll in this course to gain knowledge in data analysis, machine learning, data visualization, web scraping, and natural language processing.

 

Among the various programming languages available in the market, Python has made its way to become one of the fastest-growing languages. Python can be used for many applications like building web applications, game development, machine learning, scientific and numerical computing. Learning Python is beneficial whether you want to become a data scientist, machine learning engineer, data analyst, or even a software developer.

The key features of Python include:

  • English-like commands and easy to learn.
  • The language is open-source.
  • A powerful set of libraries available for game development, data science, and more.
  • Used to make Graphical User Interfaces (GUI).
  • Dynamically-types language.

After deducing the administration fee, the remaining course fee will be refunded on canceling the enrollment. Please go through our Refund Policy to find out more.

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