Python Programming

Python Programming Masterclass

One language, learned to professional depth: core Python, the working toolkit, and an honest guided taste of the three roads beyond.

9-11 months (36-44 weeks) Complete beginner (18+); college students, graduates and professionals 2 live classes/week + 4-6 hours practice Certificate from Modern Age Coders, awarded on passing the final exam

Syllabus updated August 2026

Python Masterclass: Zero to Advanced, Live Online

Flexible course duration

Duration depends on the student's background and pace. Beginners (kids / teens): typically 6 to 9 months. Adults with prior knowledge: often shorter, with an accelerated path.

Standard pace6 to 9 months
AcceleratedAdd class frequency to finish faster

For personalised duration planning, call +91 91233 66161 and we'll map a schedule to your goals.

Ready to Master Python Masterclass: Zero to Advanced, Live Online?

Choose your plan and start your journey into the future of technology today.

Rated 4.9 across 547 Google reviews. Free demo first, no card needed. Monthly billing, cancel anytime.

Group Classes

₹1,499/month

2 Classes per Week · Up to 10 students

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Personalized 1-on-1

₹4,999/month

1 Private Class per Week · 4 a Month

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Program Overview

Python is the most useful single language a professional can learn, and the most commonly half-learned. This live online masterclass fixes the half: nine months from zero to genuinely advanced Python, the kind that reads stdlib source without fear, plus the professional toolkit, testing, Git, virtual environments, APIs, automation and concurrency, that turns language skill into working capability.

The scope is deliberately honest. Web frameworks, data science and machine learning are each their own multi-month disciplines, and this course refuses to fake all three in survey weeks. Instead, the final month is a guided, hands-on taste of the three roads, a real Flask build, a real pandas analysis, a real AI-API script, so every graduate chooses their specialization from experience rather than marketing, and continues into our dedicated Django, data analysis or AI courses with the Python depth those courses quietly assume.

The pace is real: nine months at two live classes a week plus four to six hours of practice, with two more months in hand when needed. Problem sets after every class, monthly mixed reviews that reach back deliberately, phase exams, and a final exam that decides the certificate, with focused revision and a free retest. Real Python, real depth, depth over dopamine.

What Makes This Program Different

  • Depth where it compounds: core and advanced Python owned properly, not surveyed
  • The professional toolkit is the syllabus: testing, Git, environments, APIs, automation, concurrency
  • Honest specialization: the three roads (web, data, AI) tasted hands-on, then continued in dedicated courses instead of faked in survey weeks
  • Pythonic style taught deliberately: comprehensions, iterators and the standard library as a first resort
  • Certification-aware: the syllabus covers what PCEP and PCAP examine, for students who want the credential road
  • Real assessment: weekly problem sets, monthly mixed reviews, and a final exam that decides the certificate, with focused revision and a free retest

Your Learning Journey

Phase 1
Core Python (Months 1-3): syntax to data structures, learned through daily building
Phase 2
Professional Python (Months 4-6): OOP, files and exceptions, the standard library, testing and a real capstone
Phase 3
The working toolkit (Months 7-8): Git and GitHub, APIs and scraping, automation, concurrency
Phase 4
The three roads and the finale (Month 9): Flask, pandas and AI APIs tasted honestly, then the final capstone and exam

Career Progression

1
Python depth that survives technical interviews and code review
2
A portfolio of real builds: tools, automations, API clients and a defended capstone
3
A specialization chosen from experience: web, data or AI, continued in our dedicated courses
4
The professional habits, testing, Git, clean style, that make teams trust your code

Detailed Course Curriculum

Explore the complete week-by-week breakdown of what you'll learn in this comprehensive program.

Topics Covered
  • What is programming? How computers understand code
  • Why Python? History, features, and popularity
  • Python applications: web, data science, AI, automation, games
  • Python 3 installation (Windows, Mac, Linux)
  • Setting up development environment: VS Code, PyCharm
  • Running Python: interactive shell vs script files
  • IDLE, Jupyter Notebook, and Google Colab introduction
  • Your first Python program: print('Hello World')
  • Python syntax rules and code structure
  • Comments: single-line (#) and multi-line (''')
  • Indentation and its importance in Python
  • Python PEP 8 style guide basics
Projects You Build
  • Hello World variations (personalized greetings)
  • Simple calculator using print statements
  • About Me program (display personal information)
  • ASCII art creator
Practice & Assignments

Daily: 30 min typing practice, write 5 simple print programs

Topics Covered
  • Variables: naming rules and conventions
  • Assignment operator (=) and multiple assignments
  • Data types: int, float, string, boolean
  • Type checking with type() function
  • Type conversion: int(), float(), str(), bool()
  • Arithmetic operators: +, -, *, /, //, %, **
  • Comparison operators: ==, !=, >, <, >=, <=
  • Logical operators: and, or, not
  • Assignment operators: +=, -=, *=, /=
  • String basics: creation, concatenation, repetition
  • String indexing and slicing [start:stop:step]
  • F-strings and string formatting (format(), %)
Projects You Build
  • Temperature converter (Celsius/Fahrenheit)
  • Age calculator with days, hours, minutes
  • Simple interest calculator
  • BMI (Body Mass Index) calculator
  • Tip calculator with bill splitting
Practice & Assignments

Solve 25 problems on variables, data types, and operators

Assessment

Month 1 check: a small program built live, plus a take-home mixing everything so far

Topics Covered
  • Boolean expressions and truthiness
  • If statement: basic conditional execution
  • If-else: two-way branching
  • If-elif-else: multi-way branching
  • Nested if statements
  • Ternary operator (conditional expression)
  • While loop: condition-based repetition
  • Infinite loops and break statement
  • Continue statement to skip iterations
  • For loop: iterating over sequences
  • Range function: range(start, stop, step)
  • Nested loops and loop patterns
Projects You Build
  • Number guessing game with attempts
  • Grade calculator with letter grades
  • Even/odd number checker
  • Multiplication table generator
  • Pattern printing (stars, pyramids, diamonds)
  • Simple password validator
  • FizzBuzz challenge
Practice & Assignments

Solve 30 conditional and loop problems

Topics Covered
  • What are functions? DRY principle
  • Defining functions with 'def' keyword
  • Parameters and arguments (positional, keyword)
  • Return statement and return values
  • Multiple return values (tuples)
  • Default parameter values
  • Variable scope: local vs global
  • Global and nonlocal keywords
  • Docstrings for function documentation
  • *args for variable positional arguments
  • **kwargs for variable keyword arguments
  • Lambda functions (anonymous functions)
  • Built-in functions: len, sum, max, min, abs, round
Projects You Build
  • Function library for common calculations
  • Password strength checker function
  • Text analyzer (word count, character count)
  • Prime number checker and generator
  • Palindrome checker
  • Simple quiz game with scoring
  • Unit converter (length, weight, temperature)
Practice & Assignments

Create 20 different utility functions

Assessment

Month 2 check: refactor a messy script into clean functions live, plus mixed review

Topics Covered
  • Lists: creating and accessing elements
  • List indexing (positive and negative)
  • List slicing: extracting sublists
  • List methods: append, insert, extend
  • Removing elements: remove, pop, clear
  • List methods: sort, reverse, copy
  • index() and count() methods
  • List comprehensions: compact list creation
  • Nested lists (2D lists, matrices)
  • Iterating lists with for loops
  • Enumerate function for index-value pairs
  • List vs tuple: mutability difference
Projects You Build
  • Todo list application (add, remove, display)
  • Shopping cart system
  • Student grade manager
  • Number list statistics (average, min, max)
  • List sorting and searching programs
  • Tic-tac-toe board representation
Practice & Assignments

Solve 25 list manipulation problems

Topics Covered
  • Tuples: immutable sequences
  • Tuple packing and unpacking
  • Tuple methods: count, index
  • When to use tuples vs lists
  • Sets: unordered unique collections
  • Set operations: union, intersection, difference
  • Set methods: add, remove, discard, clear
  • Dictionaries: key-value pairs
  • Accessing, adding, updating dictionary items
  • Dictionary methods: keys(), values(), items()
  • get() method with default values
  • Dictionary comprehensions
  • Nested dictionaries for complex data
  • String mastery: slicing, methods, f-strings and first regular expressions
Projects You Build
  • Contact book (name, phone, email)
  • Word frequency counter
  • Student database with grades
  • Inventory management system
  • English-Spanish dictionary translator
  • Vote counting system
Practice & Assignments

Build 10 projects using dictionaries and sets

Assessment

Phase 1 exam: a data-wrangling task built live, plus a written mixed paper over months 1-3

Topics Covered
  • What is Object-Oriented Programming?
  • Classes and objects: blueprint and instances
  • Creating classes with 'class' keyword
  • The __init__ constructor method
  • Instance variables (attributes)
  • Instance methods
  • Self parameter explained
  • Creating and using objects
  • Class vs instance attributes
  • Class methods with @classmethod decorator
  • Static methods with @staticmethod decorator
  • __str__ and __repr__ magic methods
Projects You Build
  • Bank account class with deposit/withdraw
  • Student class with grades management
  • Book class for library system
  • Car class with properties and methods
  • Rectangle/Circle classes with area calculation
Practice & Assignments

Create 15 different classes modeling real-world objects

Topics Covered
  • Inheritance: parent and child classes
  • Method overriding in child classes
  • Super() function to call parent methods
  • Multiple inheritance
  • Method Resolution Order (MRO)
  • Polymorphism: same interface, different implementation
  • Duck typing in Python
  • Abstract base classes (ABC module)
  • Encapsulation: public, protected, private
  • Name mangling with double underscore
  • Property decorators: @property, @setter
  • Composition vs inheritance
Projects You Build
  • Animal hierarchy (Animal -> Dog, Cat, Bird)
  • Employee management system (Employee -> Manager, Developer)
  • Shape calculator with inheritance
  • Vehicle rental system
  • Game character classes with different abilities
Practice & Assignments

Build 10 class hierarchies with inheritance

Assessment

Month 4 check: design a small class hierarchy live and defend it, plus mixed review

Topics Covered
  • Opening files: open() function and modes (r, w, a, r+)
  • Reading files: read(), readline(), readlines()
  • Writing to files: write(), writelines()
  • With statement for automatic file closing
  • File paths: absolute vs relative
  • Working with CSV files
  • JSON file handling: json.dump(), json.load()
  • Exception handling: try-except blocks
  • Catching specific exceptions
  • Multiple except blocks
  • Else and finally clauses
  • Raising exceptions with 'raise'
  • Creating custom exceptions
Projects You Build
  • Note-taking app with file persistence
  • Contact manager with CSV storage
  • Configuration file reader/writer
  • Log file analyzer
  • Student records system with JSON
  • Error-safe calculator
Practice & Assignments

Build 8 file-based applications

Topics Covered
  • Importing modules: import, from...import
  • Creating custom modules
  • Module search path and PYTHONPATH
  • Packages and __init__.py
  • Creating package structures
  • Math module: mathematical functions
  • Random module: random numbers and choices
  • Datetime module: working with dates and times
  • OS module: operating system interface
  • Sys module: system-specific parameters
  • Collections module: deque, Counter, defaultdict
  • Itertools module: efficient iterators
  • Comprehensions and generator expressions: Pythonic style as a habit
Projects You Build
  • Dice rolling simulator with statistics
  • Birthday reminder application
  • File organizer using os module
  • Random password generator
  • Custom utility package creation
  • Date calculator (age, days between dates)
Practice & Assignments

Explore 15 standard library modules

Assessment

Month 5 check: solve three tasks stdlib-first, plus mixed review reaching back to phase 1

Topics Covered
  • Why testing matters
  • Manual testing vs automated testing
  • Unit testing with unittest module
  • Test cases and assertions
  • SetUp and tearDown methods
  • Pytest framework introduction
  • Writing pytest test functions
  • Test fixtures in pytest
  • Parameterized testing
  • Code coverage with coverage.py
  • Debugging techniques in Python
  • Using Python debugger (pdb)
  • Logging with logging module
Projects You Build
  • Test suite for calculator
  • Testing OOP classes
  • Testing file operations
  • TDD (Test-Driven Development) mini project
  • Debugging exercise solutions
Practice & Assignments

Write tests for all previous projects

Topics Covered
  • Object-oriented design
  • Algorithm implementation
  • File-based data persistence
  • Error handling throughout
  • Unit testing
  • Code documentation
Projects You Build
  • PHASE 2 CAPSTONE: Library Management System (OOP-based)
  • Features: Books, members, lending, returns, fines, search, file storage, testing
  • Alternative: School Management System
  • Alternative: Banking System with multiple account types
  • Alternative: E-commerce Inventory System
Assessment

Phase 2 exam: a tested, documented capstone defended, plus a cumulative written paper

Topics Covered
  • What is version control?
  • Git installation and setup
  • Git basic commands: init, add, commit
  • Git workflow: working directory, staging, repository
  • Checking status and history: status, log
  • Branches: creating and switching
  • Merging branches
  • Handling merge conflicts
  • Remote repositories: GitHub
  • Push, pull, clone operations
  • GitHub collaboration basics
  • .gitignore file for Python projects
Projects You Build
  • Initialize Git for existing projects
  • Create GitHub repository
  • Collaborate on shared repository
  • Open source contribution preparation
Practice & Assignments

Use Git for all future projects

Topics Covered
  • Advanced BeautifulSoup techniques
  • Navigating HTML tree
  • CSS selectors for scraping
  • Scrapy framework introduction
  • Creating Scrapy spiders
  • Item pipelines for data processing
  • Scrapy selectors and XPath
  • Handling pagination
  • Selenium for dynamic websites
  • WebDriver automation
  • Headless browsing
  • Ethics, robots.txt, and rate limiting
Projects You Build
  • News scraper with BeautifulSoup
  • E-commerce price tracker
  • Job listings aggregator with Scrapy
  • Social media scraper (ethical)
  • Automated form filler with Selenium
Practice & Assignments

Build 8 scraping and automation projects

Assessment

Month 7 check: build an API client live with error handling, plus mixed review

Topics Covered
  • File and folder automation
  • Batch file processing
  • PDF manipulation with PyPDF2
  • Excel automation with openpyxl
  • CSV data processing
  • Email automation with smtplib
  • Scheduling tasks with schedule library
  • System administration scripts
  • Desktop automation with PyAutoGUI
  • Clipboard automation
  • Screenshot and image manipulation
  • Building CLI tools with Click/argparse
  • Virtual environments and dependency hygiene as reflexes
Projects You Build
  • File organizer automation
  • Excel report generator
  • Email sender with attachments
  • PDF merger and splitter
  • Automated backup system
  • Desktop notification system
  • System monitoring script
Practice & Assignments

Create 10 automation scripts for daily tasks

Topics Covered
  • Concurrency vs parallelism
  • Threading basics with threading module
  • Creating and starting threads
  • Thread synchronization
  • Multiprocessing module
  • Process creation and management
  • Pool for parallel execution
  • AsyncIO for asynchronous programming
  • Async/await syntax
  • Concurrent.futures module
  • ThreadPoolExecutor and ProcessPoolExecutor
  • When to use threading vs multiprocessing
Projects You Build
  • Multi-threaded file downloader
  • Parallel data processing
  • Async web scraper
  • CPU-intensive task with multiprocessing
Practice & Assignments

Optimize slow programs with concurrency

Assessment

Phase 3 exam: an automation built and scheduled live, plus a cumulative written paper

Topics Covered
  • Road one, web: a real Flask app built in two sessions, routes to deployment
  • Road two, data: a real pandas analysis, load, clean, group, chart, conclude
  • Road three, AI: a real script on a modern AI API, structured output included
  • What each road demands next, told straight
  • Where our Django, data analysis and AI courses continue each road
  • Choosing from experience: which build did you not want to stop?
Projects You Build
  • Three small real builds: a deployed Flask app, a pandas analysis, an AI-API tool
Practice & Assignments

Extend the road that pulled hardest by one more feature

Topics Covered
  • One focused week: a complete Python product using the whole course
  • Tested core logic, clean structure, honest README
  • Instructor checkpoint and scope cuts
  • Version control history that tells the story
Projects You Build
  • The final capstone: a tool, automation or application built to be shown
Practice & Assignments

Daily commits; a working build at the end of every session

Topics Covered
  • Presenting the capstone: live demo plus the hardest bug story
  • A full-course spiral review before the exam
  • PCEP and PCAP: how this syllabus maps to the certifications, for those who want them
  • The road chosen, and the dedicated course that continues it
Projects You Build
  • Demo day presentation delivered to the batch
Assessment

FINAL EXAM: a practical build plus a written paper with questions mixed from every phase. Passing earns the certificate; falling short earns a focused revision plan and a free retest

Projects You'll Build

Build a professional portfolio with 25+ real builds, crowned by a tested, defended capstone real-world projects.

Phase 1 daily builds from calculators to data-wrangling tools
Phase 2 an OOP system, stdlib-first utilities, and a tested phase capstone
Phase 3 a Git-managed portfolio, API clients, polite scrapers and scheduled automations
Phase 4 a Flask app, a pandas analysis, an AI-API tool, and the defended final capstone

Weekly Learning Structure

Live Classes
2 live one-hour classes per week, coding along with the instructor
Homework
A problem set after every class, and a mixed-review assignment at the end of every month
Practice
4-6 hours of building between classes
Review
Every submission reviewed with written feedback; recurring gaps reopened in class

Certification & Recognition

Completion
Certificate from Modern Age Coders, awarded on passing the final exam. Fall short and there is focused revision and a free retest: the certificate certifies knowledge, not attendance

Technologies & Skills You'll Master

Comprehensive coverage of the entire modern web development stack.

Core Python to genuine depth
syntax, data structures, functions, OOP
Pythonic style
comprehensions, iterators and the standard library as a first resort
The professional toolkit
pytest, Git and GitHub, virtual environments
The living web
APIs consumed properly, scraping done politely
Automation and concurrency
scripts that survive reality
Road literacy
Flask, pandas and AI APIs each experienced hands-on

Support & Resources

Doubt Support
WhatsApp doubt support between classes, for the traceback that makes no sense at midnight
Progress Updates
Honest monthly progress reviews: what is solid, what is wobbly, and the plan for the wobble

Career Outcomes & Opportunities

Transform your career with industry-ready skills and job placement support.

Prerequisites

Coding Experience
None. The course starts at the very first line
Equipment
A computer with a stable internet connection; Python and every tool used are free
Age
18+; college students, graduates and working professionals
Time Commitment
2 live classes plus 4-6 hours of practice a week

Who Is This Course For?

College Students
Students who want Python owned properly, not survived for a semester
Career Switchers
Professionals entering software through its friendliest serious door
Half Learners
The tutorial-experienced who can follow along but cannot build alone, this course closes that gap
Future Specialists
Learners heading for web, data or AI who want the foundation those courses quietly assume
Certification Seekers
Students eyeing PCEP and PCAP, whose syllabi this course covers

Career Paths After Completion

Django and Flask web development: our dedicated web course continues road one
Data analysis and data science: our data courses continue road two
AI and machine learning: our AI/ML and generative AI courses continue road three
PCEP and PCAP certification: the credential road, entered with real depth
Automation everywhere: the skill that pays off in any job from day one

Salary & Market Context

The ranges below are general market salary bands for these roles in India and abroad, drawn from public industry data. They are shown for career context only and are not a promise or guarantee of income. Actual pay depends on your skills, experience, location, and the job market.

Early Career Roles
₹2-4 LPA (Junior Python Developer / Intern)
Growing Roles
₹4-7 LPA (Python Developer / Automation Engineer); ₹7-12 LPA (Full Stack Python / Data Analyst)
Experienced Roles
₹10-20 LPA (Senior Python / Data Scientist / ML Engineer)
Other Roles
₹12-30 LPA in India, $80k-180k USD internationally; ₹15-40 LPA in India, $100k-200k+ USD internationally
Freelance
₹500-3,000/hour based on specialization
International
$60k-150k USD (USA) based on role and experience

Course Guarantees

Live Classes
Live, interactive classes with a real instructor, never pre-recorded videos.
Small Batches
Small batches only: group classes are capped at 10 students, with mini-batch (3 to 4 students) and personal 1-on-1 options.
Structured Curriculum
A structured, well-paced curriculum taught step by step, with classwork in every session and problem sets after every class.
Real Assessment
Monthly mixed reviews and a final exam that decides the certificate: real knowledge, real work.
Doubt Support
Doubt support between classes over WhatsApp, so you are never left stuck.
Certificate
A certificate you earn by passing the final exam, with a free retest after revision if needed.
Free Demo
A free demo class before you enrol, so you can decide with no pressure.
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Modern Age Coders students and mentors at the July 2026 student meetup
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Modern Age Coders students and mentors at the July 2026 student meetup
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Modern Age Coders students and mentors at the July 2026 student meetup
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Modern Age Coders students and mentors at the July 2026 student meetup
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Modern Age Coders students and mentors at the July 2026 student meetup
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Modern Age Coders students and mentors at the August 2026 student meetup
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Modern Age Coders students and mentors at the July 2026 student meetup
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Modern Age Coders students and mentors at the July 2026 student meetup
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Modern Age Coders students and mentors at the July 2026 student meetup
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Modern Age Coders students and mentors at the July 2026 student meetup
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Modern Age Coders students and mentors at the July 2026 student meetup
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Modern Age Coders students and mentors at the July 2026 student meetup
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Modern Age Coders students and mentors at the July 2026 student meetup
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Modern Age Coders students and mentors at the July 2026 student meetup
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Modern Age Coders students and mentors at the July 2026 student meetup
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Modern Age Coders students and mentors at the July 2026 student meetup
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Modern Age Coders students and mentors at the July 2026 student meetup
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Modern Age Coders students and mentors at the July 2026 student meetup
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Modern Age Coders students and mentors at the July 2026 student meetup
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Modern Age Coders students and mentors at the July 2026 student meetup
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Modern Age Coders students and mentors at the July 2026 student meetup
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Modern Age Coders students and mentors at the July 2026 student meetup
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Modern Age Coders students and mentors at the July 2026 student meetup
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Modern Age Coders students and mentors at the July 2026 student meetup
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Modern Age Coders students and mentors at the August 2026 student meetup
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Modern Age Coders students and mentors at the July 2026 student meetup
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Modern Age Coders students and mentors at the July 2026 student meetup
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Modern Age Coders students and mentors at the July 2026 student meetup
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Modern Age Coders students and mentors at the August 2026 student meetup
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Modern Age Coders students and mentors at the July 2026 student meetup
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Modern Age Coders students and mentors at the July 2026 student meetup
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Modern Age Coders students and mentors at the July 2026 student meetup
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Modern Age Coders students and mentors at the July 2026 student meetup
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Modern Age Coders students and mentors at the July 2026 student meetup
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Modern Age Coders students and mentors at the July 2026 student meetup
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Modern Age Coders students and mentors at the July 2026 student meetup
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Straight from the parents and students who learn with us. Rated 4.9 across 547 Google reviews.

“Mivaan enjoys the class. He understands the concepts and completes his tasks with excitement. He started taking interest in coding… truly amazing class.”

Shradha SarafParent of Mivaan

“I absolutely love it here! I made new friends and learned important valuable coding skills while having the fun of my life. It's not just coding here, it's outings, bonding and most importantly preparing you for your future. Definitely five stars.”

Yug RathoreStudent

“What stands out most is how excited my son is before every class. He looks forward to learning, problem-solving, and sharing what he's built. I've noticed a big boost in his confidence!”

Poonam RathoreParent

“Modern Age Coders has been a game-changer for me! I struggled to grasp IT concepts and coding before joining, but their classes transformed everything. I'm now the topper in my class and can confidently write complex programs with ease.”

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“Modern Age Coder have wonderful teachers who teach in a clear, easy and practical way. The teacher boosts students' confidence, keeps them updated with technology, and inspires them to learn without hesitation.”

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“The one step solution for my son. Modern Age Coders make learning coding so simple that kids love it.”

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“One of the most wonderful education centres out there. Education is not limited to school syllabus but focuses on skill development. Learning here has been a wonderful journey and still continuing.”

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