Learn python course 2 Online: Free Course with AI Tutor & Certificate
Writing scalable code can be tough, but this advanced python course makes it easy. In just about 1 hours, you'll tackle 15 modules and 145 video lessons. You'll master lists, dictionaries, object-oriented programming, and debugging, giving you the skills to build real applications with confidence.
What you'll learn in this python course 2 course
Five concrete outcomes you'll walk away with, each mapped to modules in the curriculum below.
Write, debug, and execute Python programs with confidence, understanding core syntax, data types, and control structures.
Work with Python's built-in data structures like lists, tuples, sets, and dictionaries, and apply advanced techniques like comprehensions and nested structures.
Create and use functions, including lambda expressions, closures, and higher-order functions, while leveraging modular programming and virtual environments.
Handle files, exceptions, and errors effectively, and implement object-oriented programming concepts like inheritance, encapsulation, and polymorphism.
Build real-world mini-projects, perform data analysis with libraries like Pandas and NumPy, and test/debug Python code using tools like unittest and pytest.
python course 2 course syllabus
01 Introduction to Python
- What is Python and why is it popular
- How to install Python and set up IDE
- What are variables
- What are data types
- How to use input and output functions
- What are comments in Python
- How to use operators in Python
- What is type casting in Python
- How to write your first Python program
02 Python Syntax and Execution
- Python indentation and code blocks
- Whitespace significance in Python
- Semicolons
- Understanding Line Continuation in Python
- Understanding the Python execution model
- Running Python scripts vs interactive shell (REPL)
- Shebang line
- How to comment blocks efficiently
- Command-line arguments with sys.argv
03 Conditional Statements and Loops
- What are conditional statements
- Nested If Else & elif Statements
- What are loops in Python (for loop)
- While Loop in Python
- How to use break and continue
- What is pass statement in Python
- How to use range() in loops
- What are nested loops in Python
- for Loop with else in Python
- while Loop with else in Python
- Logical operators
- Comparing values using is vs ==
04 Working with Numbers and Strings
- Integer and float operations
- Complex numbers in Python
- String creation and manipulation
- String formatting
- String methods and functions
- Slicing and indexing strings
- Escape characters and raw strings
- Unicode and encoding basics
- Working with multiline strings
- Useful built-in functions (len, ord, chr, etc.)
05 Lists and List Comprehension
- What is a list in Python
- Accessing Elements of a List in Python
- Adding Elements to a List in Python
- How to modify list elements
- How to use list slicing
- What are list methods in Python
- How to use list comprehensions
- How to iterate through lists
- How to use nested lists
- Shallow vs Deep Copy of Lists
- Sorting Lists, Tuples, and Objects
06 Tuples and Sets
- What is a tuple in Python
- How to create and access tuples
- What are tuple methods
- How to use tuple packing and unpacking
- What is a set in Python
- How to add and remove set elements
- What are set operations (union, intersection, difference)
- How to use frozen sets
- Set comprehension
07 Dictionaries in Python
- What is a dictionary in Python
- How to update dictionary values
- How to use dictionary methods
- What are nested dictionaries
- How to iterate through dictionaries
- What are dictionary comprehensions
- How to use get() and setdefault()
- Merging dictionaries in Python 3.9+
- Converting dictionaries to JSON and vice versa
- Using defaultdict and OrderedDict from collections
08 Functions and Lambda Expressions
- What is a function in Python
- What are function arguments (positional, keyword, default)
- How to use variable length arguments (*args, **kwargs)
- What is return statement in Python
- How to use lambda functions
- What are recursive functions
- How to use docstrings in functions
- Nested functions and closures
- First-class functions
- Higher-order functions
- Function annotations and type hints
09 Modules, Packages, and Virtual Environments
- What is a module in Python
- How to import modules
- What are built-in modules in Python
- How to create your own module
- What is a package in Python
- How to use pip for installing packages
- Import Math Functions in Python
- How to use math and random modules
- How to use datetime module
- Creating and managing virtual environments
- Managing dependencies with requirements.txt
- Using __init__.py
10 File Handling in Python
- What is file handling in Python
- How to open and close files
- Reading/Writing Files
- How to append data in files
- What is file handling with “with” statement
- How to handle binary files
- Reading/writing CSV files using csv module
- Reading/writing JSON files
- Handling file paths using os and pathlib
11 Exception and Error Handling
- Exception Handling in Python
- How to use try and except blocks
- How to raise exceptions
- How to create custom exceptions
- How to handle multiple exceptions
- Using try block
- Logging errors using the logging module
- Assertion statements in Python
12 Object-Oriented Programming
- What is OOP
- Creating classes and objects
- Class vs instance attributes
- Using __init__ constructor
- Instance and class methods
- Inheritance
- Method overriding
- super() function
- Using __str__ and __repr__
- Encapsulation, Abstraction, and Polymorphism
- Magic/Dunder Methods in Python
- Static and class methods
13 Working with Libraries
- Python Packages & pip
- Exploring NumPy basics
- Working with Pandas DataFrames
- Data visualization with matplotlib
- Web scraping with requests and BeautifulSoup Part 1
- Web scraping with requests and BeautifulSoup Part 2
- APIs using requests and json
- Datetime Module
14 Debugging and Testing
- Basic debugging using print()
- Using pdb (Python Debugger)
- Common debugging strategies
- Writing test functions with unittest Part 1
- Writing test functions with unittest Part 2
- Using pytest for advanced testing
- Mocking in Python tests
- Code coverage
15 Real-World Mini Projects
- Creating a Calculator
- To-Do App with file storage
- Weather app using API
- Contact book using dictionaries
- Quiz game using loops and conditions
- Rock Paper Scissors Game in Python
- Basic data analysis with CSV using pandas
Real-world projects you'll work on
Practice the exact kind of work python course 2 professionals do on the job.
"Automated Data Analysis Pipeline for Global Market Trends"
"Interactive Customer Feedback Dashboard for Retail Giants"
"AI-Powered Weather Forecasting Application for Logistics Optimization"
"Secure File Management System for Corporate Data Handling"
Skills you'll gain
Add these to your LinkedIn profile and resume the day you finish.
Who should take this python course 2 course?
And exactly what you need before starting (spoiler: almost nothing).
This course is for
- Software developers wanting an advanced python programming course to write cleaner, more efficient code.
- Data analysts looking to master Pandas and NumPy for automated data pipelines.
- Computer science students in India building their portfolios with real-world object-oriented programming projects.
- IT professionals aiming to automate daily tasks using secure file management and virtual environments.
Prerequisites
- No prior advanced programming experience is strictly required, but basic computer literacy is recommended.
- Familiarity with basic Python syntax or completion of a beginner Python course is highly beneficial.
- A working computer with an internet connection to run virtual environments and test code.
How learning works on LearnTube
The structure of a bootcamp, the price of free.
AI curates your path
Our AI picks the top 1% of video content for each topic and arranges it into a structured, goal-based curriculum. No more tutorial roulette.
Learn, then get quizzed
After every lesson, your AI tutor asks you a question and gives personalised feedback on your answer, so gaps get fixed immediately.
Finish with proof
Complete the course, build the capstone project, and claim a certificate recognised by 900+ hiring partners.
A complete python course 2 course: free, structured and job-focused
Moving beyond basic syntax to write efficient, production-ready code is a major hurdle for many developers. This intermediate python course bridges that gap by teaching you how to structure data and handle errors like a professional. You'll start with What is Python and why is it popular before moving into Python Syntax and Execution. From there, you'll master Lists and List Comprehension, Tuples and Sets, and Dictionaries in Python.
Once you have the data structures down, the curriculum pushes into advanced territory. You'll explore Functions and Lambda Expressions, Modules, Packages, and Virtual Environments, and File Handling in Python. We also cover Exception and Error Handling alongside Object-Oriented Programming, Working with Libraries, and Debugging and Testing. To prove your skills, you'll build four hands-on projects, including an Automated Data Analysis Pipeline for Global Market Trends and an Interactive Customer Feedback Dashboard for Retail Giants. You'll also create an AI-Powered Weather Forecasting Application for Logistics Optimization and a Secure File Management System for Corporate Data Handling.
LearnTube makes mastering these topics highly interactive. Every topic features curated YouTube video lessons paired with an AI tutor that gives you a quick quiz after every lesson to check your understanding. You can complete all 145 video lessons entirely for free. If you want to show off your new skills to employers, you can add an optional paid certificate at the end.
Jobs you can target after learning python course 2
python course 2 is a gateway skill for some of the fastest-growing roles in tech.
Writes, tests, and maintains backend application logic and data structures.
Processes large datasets and builds automated analysis pipelines for business insights.
Creates scripts and tools to reduce manual workloads and improve system operations.
Typical entry-level salary ranges in India as of September 2026. Actual compensation varies by city, company and experience.
Earn a python course 2 certificate employers recognise
Finish the course and claim a certificate you can share anywhere.
- Learn 100% free: every lesson, quiz and the AI tutor cost nothing
- Claim your certificate when you complete the course (an optional paid add-on)
- Recognised by 900+ hiring partners across India
- One click to share on LinkedIn and add to your resume
Why learners choose LearnTube
Real reviews from Google. You learn free, you get assessed free, and you pay only if you want the certificate.
Though I have 11 years of experience as an HRBP, the course helped me refresh my knowledge and gave me insights into new trends in the market. The modules were clear and easy to understand, and the quizzes were well designed. I have added the certificate to my LinkedIn profile.
I had a lot of doubts while learning, but the AI chatbot answered them in detail with simple summaries. The videos on the platform saved me a lot of time as I didn't have to search YouTube and watch random content.
Just earned my certificate in HR Management from LearnTube.ai! The platform is user-friendly and the assessment was a great way to validate my knowledge. Feeling proud of this accomplishment!
I enrolled in a LearnTube personalized course to get into a Data Analytics role. It helped me learn SQL in depth and gave me hands-on experience with Power BI. I attached the LearnTube certificate to my CV, it added credibility to my profile, and I'm currently in the interview process.
The interface is user-friendly and intuitive, making it easy to navigate the course. I encountered no errors during my time using the platform, which was a refreshing change from other online learning platforms.
Just cleared the Business Analyst assessment and got certified! Loved how the course simplifies big concepts like data-driven decision making into short, practical lessons. The automated quizzes kept me on track the whole time. Perfect boost for my resume!
The certificate gave me a real edge during my B.Tech. By the time I graduated, I had skills that set me apart from my peers, and the certification opened up more job opportunities. It gave me the confidence to stand out during interviews.
I manage many software projects as a General Manager and was looking for a good certification program to stay competitive. After researching many programs, I chose LearnTube and it was much better than I expected. The material is well-organized and practical, and what I liked most is the lifetime access.
Frequently asked questions
Everything learners ask before starting this python course 2 course.
Do I need prior coding experience for this intermediate python course?
Yes, having a basic understanding of programming logic is helpful. While the first module reviews Python basics, you'll quickly move into advanced topics like lambda expressions and object-oriented programming. It's best suited for those who know fundamental syntax.
What jobs can I get after completing this advanced python training?
You can pursue roles like Python Developer, Data Analyst, or Automation Engineer. These entry-level positions typically offer starting salaries between ₹3.5 LPA and ₹8 LPA in India, depending on your specific skill set and the hiring company.
Is this python level 2 course self-paced and mobile-friendly?
Yes, the entire curriculum is completely self-paced. You can watch the curated video lessons and take the AI-tutor quizzes on your phone or laptop whenever you have free time, making it easy to fit into a busy schedule.
How long does it take to finish the advanced python tutorial?
The course features 145 video lessons that take about 1 hours of total watch time. Depending on how long you spend on the quizzes and hands-on projects, most learners finish within a few days of steady studying.
Will I build real projects in this advanced python course online?
Yes, you'll complete four hands-on projects. These include building an automated data analysis pipeline, an interactive customer feedback dashboard, an AI-powered weather forecasting application, and a secure file management system to build your portfolio.
How does the AI tutor work during the lessons?
The AI tutor tests your knowledge by generating a short quiz immediately after every video lesson. This helps you actively remember concepts like virtual environments and error handling before you move on to the next topic.
Is there a fee to learn advanced python online here?
No, all 15 modules and 145 video lessons are completely free to access. You only pay if you decide to purchase the optional certificate of completion after finishing the curriculum and all associated quizzes.
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