Python Programming

In Python Programming, learn the basics of the language and develop complete web applications using python libraries and Django Framework.

(Installment Options Available)

Duration: 6 Months

50,000 PKR

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Introduction

The Python Programming Certification is designed to teach the basics of python programming. Python is a general-purpose, dynamic, high level and interpreted programming language. It supports Object Oriented programming approach to develop applications. It is simple and easy to learn and provides lots of high-level data structures. With this certification, students will be able to create complete web applications using python libraries and Django Framework. Python programmers are highly paid in the IT industry and python applications are highly demanding on freelancing platforms. It benefits students who have completed intermediate in computers and have basic programming skills.

Sr. No.	Contents
1	Introduction Introduction to Programming Theoretical Explanation
2	Python Basics Introduction to Python Programming Python Basics
3	Syntax Familiarity Python syntax Variables Operators Data Types
4	Conditioning and Iterations Conditional statement Loops
5	Functions and Libraries Python Functions In-Built Functions Lambda Function Python Libraries
6	OOP in Python OOP In Python Basics OOP Pillars in Python Exception Handling
7	Modules and File handling Python File reading and writing files Python Modules
8	Machine Learning Introduction Types Applications
9	Regression Linear Regression Ridge Regression Lasso Regression
10	Classification Naïve Bayes Decision Tree SVM Logistic Regression
11	Ensemble Methods and evaluation Bagging Boosting Stacking Blending Classifiers Evaluation
12	Feature Engineering and Optimization Feature Selection Hyper-parameter Tuning of different classifiers
13	Clustering K-Mean K-Median K-Medoids
14	Mid Term And Project Discussion
15	Model Understanding Bias And Variance Overfitting Underfitting
16	Neural Network and NLP Introduction To Neural Networks (Theory) Working of Neural Network Introduction To NLP Hyper-Parameters
17	Artificial Neural Network >Perceptron learning >Fully Connected Network
18	Activation Functions Sigmoid Relu (Leaky and Exponential) Tanh Softmax
19	Convolutional Neural Network and Embedding Convolution Operation Pooling Layers Dense Layers Word2Vec
20	Sequence Models RNN LSTM GRU
21	Regularization Approaches L1 L2 Dropout Early Stopping
22	Generative AI Project 1 Chatbot 1
23	Generative AI Project 2 Chatbot 2
24	Final Evaluation

Python Programming

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