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Python for AI Foundations

Master Python from scratch for AI, Data Science & Projects

Created by Sarvesh

English

About the Course

The Python for AI Foundations course is designed to provide a beginner-friendly yet comprehensive introduction to Python programming with a strong focus on artificial intelligence applications. This course starts by building a solid understanding of core Python concepts including data types, control flow, loops, and functions, followed by practical exposure to essential data structures like lists, dictionaries, sets, and tuples.

As learners progress, they dive into Python’s application in real-world tasks such as data manipulation using NumPy and Pandas, and explore functional programming techniques like lambdas and scope handling. The course also introduces foundational AI techniques such as text pre-processing and regular expressions, while emphasizing coding best practices through exception handling and file I/O.

By the end of this course, you will be equipped with hands-on Python skills and ready to take on beginner-level AI projects with confidence. Whether you’re a student or early-career professional, this course sets the stage for further growth in AI and data science.

Python for AI Foundations - Curriculum

Course Curriculum

Module 1: Introduction to Python Programming

Sessions: 2 | 30 mins
  • Setting up Python (Anaconda, Jupyter, or VS Code)
  • Exploring Jupyter Notebook: Foundations and shortcuts

Module 2: Python Basics

Sessions: 3 | 1 hour
  • Mastering Markdown and Operators in Jupyter Notebook
  • Understanding Python Operators, Precedence, and Typecasting
  • Modern Python String Formatting Techniques

Module 3: Data Types & Structures

Sessions: 6 | 1 hour 30 mins
  • Exploring Python Lists: Slicing and Modifying
  • Exploring Tuples in Python
  • Mastering Python Sets: Unordered, Unique, and Efficient Operations
  • Mastering Python Dictionaries
  • Mastering Indexing, Slicing, and Comprehension in Python
  • Applying Data Structures in Real-World Scenarios

Module 4: Conditionals & Loops

Sessions: 3 | 1 hour
  • Mastering Python Conditionals and Loops
  • Mastering Python Loops: For and While
  • Mastering Loop Control in Python

Module 5: Functions & Modular Thinking

Sessions: 3 | 1 hour
  • Functions and Modular Thinking in Python
  • Exploring Python's Built-in Functions
  • Refactoring a Modular Function-Based Calculator

Module 6: Python for Data Science

Sessions: 3 | 1 hour
  • Dive into Data Science with NumPy: Practical Python Applications
  • Exploring NumPy, Pandas, and Data Structures in Python
  • Mastering Pandas for Data Analysis

Mini Project: Resume Keyword Matcher

Time: 30 mins
  • Resume Keyword Matcher Project Overview
  • Course Completion
  • Python for AI Foundations Journey
What Do We Offer

What do we offer

Recorded Learning

Access pre-recorded lessons anytime and revisit concepts at your own pace with flexibility.

Structured Learning

Our curriculum is designed by experts to help you progress step-by-step with clarity.

Community & Networking

Connect with fellow learners and mentors in private chat spaces and discussion groups.

Learn with the Best

Get guidance from expert instructors and access insightful discussions and live feedback.

Practice Tests

Track your learning with quizzes and assessments after key modules to reinforce knowledge.

Get Certified

Earn a certificate to showcase your skills on LinkedIn, resumes, and in professional settings.

Enroll Now