Core AI Programming: Python

Course Description

🐍 Core AI Programming: Python

Core AI Programming: Python is a beginner-friendly course that combines the power of Artificial Intelligence 🧠 with the simplicity and flexibility of Python programming 🐍 to build smart and innovative applications. This course helps learners understand how AI technologies can be integrated into Python development for creating intelligent software solutions.

Students will learn Python programming fundamentals, problem-solving techniques, and AI-driven application development through practical coding exercises and real-world projects 🚀. The course focuses on developing smart automation systems, data-driven applications, and intelligent programs using modern Python tools and frameworks.

✨ What You’ll Learn

🔹 Fundamentals of Python Programming
🔹 Object-Oriented Programming Concepts
🔹 AI basics and intelligent system development
🔹 Data handling and automation techniques
🔹 Problem-solving with Python
🔹 Building AI-powered real-time applications
🔹 Industry-level project implementation

🎯 Why Choose This Course?

This course is perfect for students, beginners, and aspiring developers who want to start their journey in AI and programming 🌐. With hands-on learning and practical projects, learners gain the skills needed to build intelligent, scalable, and future-ready applications using Python ⚡.

Course Content

Python Foundations: History, Evolution & Practical Exercises
Learn Python's history, evolution, key milestones, creator Guido van Rossum, major Python versions, industry adoption, and Python's role in modern software, AI, and data science.

History of Python

07:55
History of Python – Exercise

06:33
History of Python – Practice Test

Python Fundamentals: Data Types, Variables, Constants, Keywords, Operators & Expressions
Learn Python data types, variables, constants, keywords, operators, and expressions, perform calculations, manipulate data, and apply core programming concepts through practical exercises.

Python Lists: Fundamentals, Operations & Practical Exercises Learning Objectives
Learn Python lists, create and manipulate list elements, perform list operations, use built-in methods, traverse lists, and solve practical problems through hands-on exercises.

Python Tuples and Sets: Fundamentals, Operations & Practical Exercises
Learn Python tuples and sets, store and manage collections of data, perform tuple and set operations, use built-in methods, and solve practical programming exercises.

Python Dictionaries and Arrays: Fundamentals, Operations & Practical Exercises
Learn Python dictionaries and arrays, store and organize data efficiently, perform data access and manipulation, use built-in methods, and solve practical programming exercises.

Control Statements in Python: Fundamentals and Practical Exercises
Learn Python control statements, use if, elif, else, and match-case for decision making, implement for and while loops, control program flow using break and continue,

Advanced Control Statements in Python: Concepts and Practical Exercises
Learn advanced Python control statements, implement nested conditional statements and loops, use break, continue, pass, and loop else clauses effectively, solve complex programming problems, and build efficient Python applications through practical exercises.

Functions in Python: Fundamentals and Practical Exercises
Learn Python function fundamentals, create and call functions, work with parameters and return values, improve code reusability through modular programming, and solve real-world problems using function-based programming techniques.

Advanced Functions in Python: Concepts and Practical Exercises
Learn advanced Python function concepts, work with default arguments, keyword arguments, variable-length arguments (*args and kwargs), recursive functions, lambda functions, and solve real-world programming challenges through practical exercises.

Advanced Functional Concepts in Python: Concepts and Practical Exercises
Learn advanced functional programming concepts in Python, work with higher-order functions, map(), filter(), reduce(), lambda expressions, function decorators, iterators, generators, and apply functional programming techniques to build efficient and scalable applications through practical exercises.

Object-Oriented Programming (OOP) in Python: Fundamentals and Practical Exercises
Learn the fundamentals of Object-Oriented Programming in Python, create classes and objects, work with attributes and methods, understand constructors, apply encapsulation principles, and build reusable and maintainable applications through practical exercises.

Advanced Object-Oriented Programming (OOP) in Python
Learn inheritance, polymorphism, encapsulation, and abstraction in Python, reuse code efficiently, protect data, create flexible applications, and design scalable object-oriented solutions.

Python File Handling: Text Files, CSV Processing and Real-World Applications
Learn Python file handling, read and write text files, process CSV data, manage file-based records, and build practical applications using real-world file handling techniques.

Exception Handling in Python: Fundamentals, Advanced Techniques & Real-World Pro
Learn Python exception handling, manage runtime errors, create custom exceptions, handle file and banking errors, and build reliable applications using real-world projects.

A course by

Kannan Madhesan

Student Ratings & Reviews

4.0

Total 1 Rating

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2 years ago

Loved the practical examples, really helpful.

Core AI Programming: Python

Course Description

🐍 Core AI Programming: Python

✨ What You’ll Learn

🎯 Why Choose This Course?

What Will You Learn?

Course Content

Python Foundations: History, Evolution & Practical Exercises Learn Python's history, evolution, key milestones, creator Guido van Rossum, major Python versions, industry adoption, and Python's role in modern software, AI, and data science.

History of Python

History of Python – Exercise

History of Python – Practice Test

Python Fundamentals: Data Types, Variables, Constants, Keywords, Operators & Expressions Learn Python data types, variables, constants, keywords, operators, and expressions, perform calculations, manipulate data, and apply core programming concepts through practical exercises.

Data Types, Variables, Constants, Keywords, Operators and Expressions

Data Types and Operators – Exercise

Data Types, Variables, Constants, Keywords, Operators and Expressions

Python Lists: Fundamentals, Operations & Practical Exercises Learning Objectives Learn Python lists, create and manipulate list elements, perform list operations, use built-in methods, traverse lists, and solve practical problems through hands-on exercises.

List

List – Exercise

Python Lists – Practice Test

Python Tuples and Sets: Fundamentals, Operations & Practical Exercises Learn Python tuples and sets, store and manage collections of data, perform tuple and set operations, use built-in methods, and solve practical programming exercises.

Tuples and Sets

Tuples and Sets – Exercise

Tuples and Sets in Python – Practice Test

Python Dictionaries and Arrays: Fundamentals, Operations & Practical Exercises Learn Python dictionaries and arrays, store and organize data efficiently, perform data access and manipulation, use built-in methods, and solve practical programming exercises.

Dictionary and Array

Dictionary and Array – Exercise

Dictionary and Array in Python – Practice Test

Control Statements in Python: Fundamentals and Practical Exercises Learn Python control statements, use if, elif, else, and match-case for decision making, implement for and while loops, control program flow using break and continue,

Control Statements – Basics

Control Statements Basic – Exercise

Control Statements in Python – Basics and Exercises

Advanced Control Statements

Advanced Control Statements – Exercise

Advanced Control Statements in Python – Practice Test

Functions in Python: Fundamentals and Practical Exercises Learn Python function fundamentals, create and call functions, work with parameters and return values, improve code reusability through modular programming, and solve real-world problems using function-based programming techniques.

Functions Fundamentals

Functions Fundamentals – Exercise

Functions Fundamentals and Functions Fundamentals – Exercise Quiz

Functions Advanced

Functions Advanced – Exercise

Functions Advanced in Python – Practice Test

Advanced Functional Concepts

Advanced Functional Concepts – Exercise

Advanced Functional Concepts in Python – Practice Test

OOP Fundamentals

OOP Fundamentals – Exercise

OOP Fundamentals in Python – Practice Test

Advanced Object-Oriented Programming (OOP) in Python Learn inheritance, polymorphism, encapsulation, and abstraction in Python, reuse code efficiently, protect data, create flexible applications, and design scalable object-oriented solutions.

OOP Advanced – Inheritance

OOP Advanced – Polymorphism

OOP Advanced – Encapsulation

OOP Advanced – Abstraction

OOP Advanced – Exercise 1

OOP Advanced – Exercise 2

Advanced OOP Concepts in Python – Practice Test

Python File Handling: Text Files, CSV Processing and Real-World Applications Learn Python file handling, read and write text files, process CSV data, manage file-based records, and build practical applications using real-world file handling techniques.

File Handling Fundamentals

Reading Files in Python

Writing Files and Append Mode

CSV Processing in Python

Student Notes Manager Using Text Files

CSV-Based Student Management System – Exercise

Python File Handling and CSV Processing – Practice Test

Exception Handling in Python: Fundamentals, Advanced Techniques & Real-World Pro Learn Python exception handling, manage runtime errors, create custom exceptions, handle file and banking errors, and build reliable applications using real-world projects.

Exception Handling Fundamentals

Advanced Exception Handling

Banking Transaction Exception Project

File Processing Exception Project

Exception Handling in Python – Practice Test

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