Master Python programming
This course is designed to transform beginners into proficient Python programmers, equipping you with essential coding skills and practical techniques.
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AI-powered support to help you learn
- AI Mentor
- Resolve doubts using AI Mentor
- AI Mentor answers questions, explains topics, and provides examples to help you understand concepts better.
- Coding Exercises
- Practice coding exercises effortlessly with AI-powered hints
- Get real-time AI guidance while coding. Debug, enhance solutions & learn with personalised feedback on popular languages.
- Mock Interviews
- Get personalised feedback and prepare for roles in tech
- Enhance your professional skills with AI-powered feedback and build confidence for job interviews.
Guided Projects
Solve real-world projects with a step-by-step guide, starter code templates, and access to model solutions to boost your skills and build a standout resume.
- GUIDED PROJECT 1
- Virtual Banking Application
- This application will simulate a banking system where users can perform various financial activities, such as creating accounts, managing transactions, transferring funds, and reviewing their transaction history. Proper controls like payee management and detailed record-keeping are essential to ensure the application's functionality and security.
- GUIDED PROJECT 2
- Build a Virtual Pet
- As part of this project, you are tasked with creating a Virtual Pet Game as a Java console application. This game simulates caring for a virtual pet by performing actions such as feeding, playing, and visiting the vet while monitoring its health, happiness, and hunger levels. The game should operate in a loop and allow the user to interact with the pet indefinitely until they choose to exit.
- GUIDED PROJECT 3
- Build a Wikipedia Extractor - Python
- As part of this project, you are tasked with creating a Wikipedia Article Information Extractor, a Java-based application designed to streamline the process of retrieving key details from Wikipedia articles. The application should take a Wikipedia article URL as input and extract specific information from the page. It should then format and display the extracted details to the user in a user-friendly manner.
Industry-focused curriculum
Python Fundamentals
35 videos
3 hours and 40 mins
- Intro to Python
- Installing Jupyter Notebook
- Intro to Jupyter Notebook
- Initialization and Declaration of Variable
- Updating Variables and Strings
- Good practices of naming variables
- Int_Float and Complex
- Operations on Strings
- Boolean Data Type
- Changing data types
- Print Statement
- User Input
- Arithmetic Operators
- Comparison Operators
- Assignment Operators
- Logical Operators
- Introduction to lists
- Indexing Lists
- Accessing and Slicing Lists
- List Methods
- Intro to Tuples
- Indexing Tuples
- Accessing Tuples
- Tuple Methods
- Introduction to Dictionary
- Accessing Items
- Changing Values in Dictionary
- Dictionary Methods
- Introduction to Sets
- Conditional Statements
- Loops
- Break and Continue statement
- Define function without argument
- Define function with argument
- Define Function with Multiple Arguments and Keyword Arguments
- Lambda Functions
19 Coding Exercises
- Coding Exercise on Python - Beginner
- Coding Exercise on Python - Advance
Python OOPs
22 videos
2 hours and 40 mins
- Introduction to Object-Oriented Programming
- Why OOPs and Evolution of Python
- Class and Objects in Python
- Self with General Example
- Adding parameters using in-built Classmethod
- Constructors in Python
- Destructors in Python
- Class with a constructor init
- Classes and Interfaces
- Calling method from another class - Example
- Summary of Python OOPs - Part 1
- Abstract Classes and Methods in Python
- Variables in Python-Part 1
- Variables in Python-Part 2
- Changing Class Members in Python
- Polymorphism in Python
- Encapsulation in Python
- Inheritance in Python
- Data Abstraction in Python
- Method Overriding in Python
- Method Overloading in Python
- Summary of Python OOPs-Part 2
19 Coding Exercises
- Coding Exercise on OOPs: Beginner
- Coding Exercise on OOPs : Advance
Python RegEx
10 videos
1 hour and 33 mins
- Introduction to RegEx and Module in Python
- RegEx Functions in Python
- RegEx Metacharacters - Part 1
- RegEx Metacharacters - Part 2
- Special Sequences in Python - Part 1
- Special Sequences in Python - Part 2
- RegEx Sets in Python - Part 1
- RegEx Sets in Python - Part 2
- RegEx Match Object in Python
- Manual Pattern Creation
Python Exception Handling
12 videos
2 hours
- Exception Handling in Python - Agenda
- What is Exception in Python
- Handling Exception with Syntax in Python
- Types of Exception Handling in Python - Part 1
- Types of Exception Handling in Python - Part 2
- Try Except in Python
- Errors and Exceptions in Python
- Built-in Exceptions in Python - Part 1
- Built-in Exceptions in Python - Part 2
- User-defined Exceptions in Python
- Advantages and Disadvantages of Exception Handling in Python
- Exception Handling in Python - Summary
9 Coding Exercises
- Coding Exercise on Exception Handling: Beginner
- Coding Exercise on Exception Handling: Advance
Guided Project 1 : Build a Virtual Banking Application
Guided Project 2 : Build a Virtual Pet
Guided Project 3 : Build a Wikipedia Extractor
Python Developer - Mock Interview
Course instructors
Dr. Abhinanda Sarkar
Academic Director - Data Science & Machine Learning
Dr. Abhinanda Sarkar
Academic Director - Data Science & Machine Learning
Mr. Bharani Akella
Data Scientist
Mr. Bharani Akella
Data Scientist
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Frequently Asked Questions
What topics are covered in this Master Python Programming course?
This course covers Python fundamentals, object-oriented programming (OOP), data structures, algorithms, file handling, web scraping, and real-world applications, along with guided projects to give you a well rounded experience.
Is this course suitable for beginners, or do I need prior programming knowledge?
The course is designed for both beginners and intermediate learners. No prior coding experience is required, as it starts with the basics and progresses to advanced concepts.
Will I receive a certificate after completing the course?
Yes, upon successful completion, you will receive an industry-recognized certification. This certificate can be shared on LinkedIn and added to your resume, helping you showcase your expertise in Python to prospective employers. The course also focuses on in-demand skills such as data structures, algorithms, and real-world problem-solving, making you job-ready for roles in software development, data science, and automation.
How is this premium course different from the free Python courses on Great Learning Academy?
This premium course provides structured, in-depth personalized learning with hands-on guided projects, AI-powered tools, mock interviews, and an industry-recognized certification. It offers practical applications and advanced concepts that go beyond the basics covered in free courses, helping you build real-world expertise and confidently prepare for job opportunities.
What is the refund policy for premium courses at Great Learning?
All fees paid for Great Learning premium courses are non-refundable. Once a payment is made towards enrollment in a Great Learning premium course, the amount will not be refunded, whether the user completes, partially completes, or does not access the course.