Python for GenAI
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.
Created by Baljeet Dogra
Course Overview
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. Already ship software in C#, Java or JavaScript? Take Python in Seven Days instead.
GenAI-Focused
Every concept is taught with practical applications for Generative AI work. Learn Python skills you'll actually use in AI development.
Structured Learning Path
Follow a clear 6-day roadmap with notes, practice tasks, and mini projects. Each day builds on the previous one.
Hands-On Projects
Build 6 complete mini projects including a User Info Collector, Grocery Price Tracker, Quiz Creator, API Data Fetcher, and more.
No Prior Experience Needed
Perfect for absolute beginners. All you need is basic computer literacy and the ability to install software.
Practical Examples
Learn through real-world examples, code along with exercises, and practice with hands-on tasks that reinforce learning.
Interview Preparation
Includes comprehensive Python interview questions covering fundamentals, data structures, algorithms, and common coding challenges.
4-Week Curriculum
A structured 4-week program with daily modules, practice exercises, and multiple projects. Each week builds on the previous one, culminating in interview preparation.
Week 1: Python Fundamentals
Day 1: Python Building Blocks
Variables, data types, f-strings, user input, operators
Project:
User Info Collector CLI
Day 2: Collections & Conditions
Lists, dictionaries, if-else, for loops
Project:
Grocery Price Tracker
Day 3: Loops & Functions
while loops, list comprehensions, functions, lambda
Project:
Quiz Creator System
Day 4: Modules & Error Handling
Import statements, try/except, HTTP requests
Project:
API Data Fetcher with Error Handling
Day 5: File Handling
Working with .txt, .json, .csv files
Project:
CSV Student Score Manager
Week 2: Intermediate Python
Day 6: OOP Fundamentals
Classes, objects, constructors, methods
Project:
PromptTemplate Class System
Day 7: Advanced OOP
Inheritance, polymorphism, encapsulation, decorators
Project:
AI Model Wrapper Classes
Day 8: Advanced Data Structures
Sets, tuples, nested structures, collections module
Project:
Data Processing Pipeline
Day 9: Generators & Iterators
Generator functions, yield, iterator protocol, memory efficiency
Project:
Large Dataset Processor
Day 10: Context Managers & Best Practices
with statements, contextlib, code organization, PEP 8
Project:
Resource Management System
Week 3: Advanced Python
Day 11: Regular Expressions
Pattern matching, regex functions, text processing
Project:
Text Parser & Validator
Day 12: Working with Dates & Times
datetime module, timezone handling, date calculations
Project:
Event Scheduler Application
Day 13: Working with Databases
SQLite, database operations, ORM basics
Project:
Personal Task Manager with Database
Day 14: Testing & Debugging
Unit testing, pytest, debugging techniques, logging
Project:
Test-Driven Development Practice
Day 15: Async Programming Basics
async/await, asyncio, concurrent operations
Project:
Async API Client
Week 4: Capstone Projects & Interview Prep
Day 16: Capstone Project 1
Build a complete CLI application combining all concepts
Project:
Personal Finance Tracker
Day 17: Capstone Project 2
Build a web API or data processing application
Project:
REST API with Flask/FastAPI
Day 18: Python Interview Questions - Fundamentals
Variables, data types, operators, control flow, functions
Practice:
50+ fundamental interview questions with solutions
Day 19: Python Interview Questions - Advanced
OOP, data structures, algorithms, design patterns
Practice:
50+ advanced interview questions with solutions
Day 20: Coding Challenges & Mock Interviews
Practice coding problems, mock interview sessions
Practice:
LeetCode-style problems, system design basics
How to Use This Course
Follow this structured approach to maximize your learning.
Go Week by Week
Follow the sequence from Week 1 to Week 4. Each week builds on the previous one, so don't skip ahead.
Complete All Projects
Build all 15+ projects throughout the course. Projects reinforce learning and build your portfolio. Don't skip them.
Practice & Build
Run and modify code examples as you learn. Complete all tasks before moving to the next day. Build the mini projects to reinforce learning.
Technical Requirements
Everything you need to get started.
Python Version
Python 3.7 or higher recommended
python --version
or
python3 --version
Required Libraries
Most libraries are built-in. You'll only need to install:
pip install requests
Built-in: json, csv, math, random, datetime
Prerequisites
- Basic computer literacy
- Ability to install software
- Text editor or IDE (VS Code, PyCharm, or any text editor)
- Internet connection (for Day 4 API examples)
No prior programming experience required!
Python Interview Questions
Comprehensive interview preparation covering fundamentals to advanced topics. Practice 100+ questions with detailed solutions.
Fundamentals (50+ Questions)
- • What is Python? Key features?
- • Difference between list and tuple
- • Explain Python's GIL
- • What are decorators?
- • Memory management in Python
- • List vs Dictionary vs Set
- • Mutable vs Immutable types
- • *args and **kwargs
- • Lambda functions vs regular functions
- • And 40+ more questions...
OOP & Advanced (50+ Questions)
- • Explain inheritance and polymorphism
- • What is method resolution order (MRO)?
- • Abstract classes vs interfaces
- • Magic methods (__init__, __str__)
- • Generators vs iterators
- • Context managers and with statement
- • Metaclasses in Python
- • Property decorators
- • Multiple inheritance challenges
- • And 40+ more questions...
Data Structures & Algorithms
- • Implement a stack/queue
- • Reverse a linked list
- • Find duplicates in a list
- • Two sum problem
- • Binary search implementation
- • Sorting algorithms in Python
- • Hash table implementation
- • Tree traversal algorithms
- • Dynamic programming basics
- • And 20+ coding challenges...
Python-Specific Concepts
- • List comprehensions vs loops
- • Shallow vs deep copy
- • Python's scope and namespaces
- • Exception handling best practices
- • Threading vs multiprocessing
- • async/await fundamentals
- • Python package management
- • Virtual environments
- • PEP 8 style guide
- • And 15+ more questions...
Common Coding Problems
- • FizzBuzz variations
- • Palindrome checker
- • Anagram detection
- • String manipulation
- • File I/O operations
- • JSON parsing and creation
- • API integration patterns
- • Data validation
- • Error handling scenarios
- • And 20+ practical problems...
Best Practices & Design
- • Code organization patterns
- • When to use classes vs functions
- • Testing strategies
- • Performance optimization
- • Security considerations
- • Code review best practices
- • Documentation standards
- • Design patterns in Python
- • Refactoring techniques
- • And 15+ best practice questions...
Interview Preparation Strategy
Each interview question includes:
- Question: Clear, interview-style question
- Solution: Complete code solution with explanation
- Time Complexity: Analysis of solution efficiency
- Follow-up Questions: Common variations and extensions
- Practice Exercises: Similar problems to reinforce learning
Learning Tips
Get the most out of your 4-week learning journey.
Don't Rush
Take your time with each concept. Understanding is more important than speed.
Code Along
Type out examples instead of just reading. Muscle memory helps retention.
Experiment
Modify examples to see what happens. Break things and learn from mistakes.
Practice Daily
Consistency beats intensity. Dedicate 1-2 hours daily for 4 weeks for best results.
Ask Questions
If something doesn't make sense, review the notes or seek clarification.
Practice Interview Questions
Use Week 4 to practice interview questions. Build confidence through repetition.
Ready to Start Your Python Journey?
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