A comprehensive 4-week Python foundation course designed for GenAI learners. Master Python from basics to advanced concepts with 15+ hands-on projects and interview preparation.
A comprehensive 4-week Python foundation course designed specifically for Generative AI learners. Perfect for beginners or those looking to strengthen their Python skills for AI development. Includes interview preparation and 15+ hands-on projects.
Every concept is taught with practical applications for Generative AI work. Learn Python skills you'll actually use in AI development.
Follow a clear 6-day roadmap with notes, practice tasks, and mini projects. Each day builds on the previous one.
Build 6 complete mini projects including a User Info Collector, Grocery Price Tracker, Quiz Creator, API Data Fetcher, and more.
Perfect for absolute beginners. All you need is basic computer literacy and the ability to install software.
Learn through real-world examples, code along with exercises, and practice with hands-on tasks that reinforce learning.
Includes comprehensive Python interview questions covering fundamentals, data structures, algorithms, and common coding challenges.
A structured 4-week program with daily modules, practice exercises, and multiple projects. Each week builds on the previous one, culminating in interview preparation.
Variables, data types, f-strings, user input, operators
Project:
User Info Collector CLI
Lists, dictionaries, if-else, for loops
Project:
Grocery Price Tracker
while loops, list comprehensions, functions, lambda
Project:
Quiz Creator System
Import statements, try/except, HTTP requests
Project:
API Data Fetcher with Error Handling
Working with .txt, .json, .csv files
Project:
CSV Student Score Manager
Classes, objects, constructors, methods
Project:
PromptTemplate Class System
Inheritance, polymorphism, encapsulation, decorators
Project:
AI Model Wrapper Classes
Sets, tuples, nested structures, collections module
Project:
Data Processing Pipeline
Generator functions, yield, iterator protocol, memory efficiency
Project:
Large Dataset Processor
with statements, contextlib, code organization, PEP 8
Project:
Resource Management System
Pattern matching, regex functions, text processing
Project:
Text Parser & Validator
datetime module, timezone handling, date calculations
Project:
Event Scheduler Application
SQLite, database operations, ORM basics
Project:
Personal Task Manager with Database
Unit testing, pytest, debugging techniques, logging
Project:
Test-Driven Development Practice
async/await, asyncio, concurrent operations
Project:
Async API Client
Build a complete CLI application combining all concepts
Project:
Personal Finance Tracker
Build a web API or data processing application
Project:
REST API with Flask/FastAPI
Variables, data types, operators, control flow, functions
Practice:
50+ fundamental interview questions with solutions
OOP, data structures, algorithms, design patterns
Practice:
50+ advanced interview questions with solutions
Practice coding problems, mock interview sessions
Practice:
LeetCode-style problems, system design basics
Follow this structured approach to maximize your learning.
Follow the sequence from Week 1 to Week 4. Each week builds on the previous one, so don't skip ahead.
Build all 15+ projects throughout the course. Projects reinforce learning and build your portfolio. Don't skip them.
Run and modify code examples as you learn. Complete all tasks before moving to the next day. Build the mini projects to reinforce learning.
Everything you need to get started.
Python 3.7 or higher recommended
python --version
or
python3 --version
Most libraries are built-in. You'll only need to install:
pip install requests
Built-in: json, csv, math, random, datetime
No prior programming experience required!
Comprehensive interview preparation covering fundamentals to advanced topics. Practice 100+ questions with detailed solutions.
Each interview question includes:
Get the most out of your 4-week learning journey.
Take your time with each concept. Understanding is more important than speed.
Type out examples instead of just reading. Muscle memory helps retention.
Modify examples to see what happens. Break things and learn from mistakes.
Consistency beats intensity. Dedicate 1-2 hours daily for 4 weeks for best results.
If something doesn't make sense, review the notes or seek clarification.
Use Week 4 to practice interview questions. Build confidence through repetition.
Join the Python for GenAI course and build a solid foundation for AI development. Perfect for beginners or those looking to strengthen their Python skills specifically for Generative AI work.
Enroll Now