Python Programming

Python fundamentals, OOP, libraries and practical programming projects.

  • 11 Modules
  • Aamir Freelancer
  • Beginner to Advanced
  • Certificate included
Python Programming Build Skills · Earn Online
Full Time AccessLearn at your own pace
Laptop & MobileLearn anywhere, anytime
24/7 SupportGet help whenever you need
Practical ExercisesWork on real world projects

Course Curriculum

11 Sections · 85 Lessons

Module 01 8 Lessons
  • Introduction to Programming
  • Python Fundamentals
  • Introduction to Python Programming
  • Python Basics
  • Syntax and Structure
  • Python Syntax
  • Variables
  • Operators
Module 02 8 Lessons
  • Data Types
  • Control Flow and Loops
  • Conditional Statements
  • Loops
  • Functions and Libraries
  • Python Functions
  • In-Built Functions
  • Lambda Functions
Module 03 8 Lessons
  • Python Libraries
  • Object-Oriented Programming (OOP) in Python
  • OOP Basics in Python
  • OOP Pillars in Python
  • Exception Handling
  • Modules and File Handling
  • Reading and Writing Files in Python
  • Python Modules
Module 04 8 Lessons
  • Introduction to Machine Learning
  • Types of Machine Learning
  • Machine Learning Applications
  • Regression Models
  • Linear Regression
  • Ridge Regression
  • Lasso Regression
  • Classification Models
Module 05 8 Lessons
  • Naïve Bayes
  • Decision Tree
  • SVM
  • Logistic Regression
  • Ensemble Methods and Model Evaluation
  • Bagging
  • Boosting
  • Stacking
Module 06 8 Lessons
  • Blending
  • Classifier Evaluation
  • Feature Engineering and Optimization
  • Feature Selection
  • Hyperparameter Tuning for Different Classifiers
  • Clustering Algorithms
  • K-Means
  • K-Median
Module 07 8 Lessons
  • K-Medoids
  • Mid-Term & Project Discussion
  • Understanding Models
  • Bias and Variance
  • Overfitting vs. Underfitting
  • Neural Networks and Natural Language Processing (NLP)
  • Introduction to Neural Networks
  • How Neural Networks Work
Module 08 8 Lessons
  • Introduction to NLP
  • Hyperparameters in Neural Networks
  • Artificial Neural Networks (ANN)
  • Perceptron Learning
  • Fully Connected Networks
  • Activation Functions
  • Sigmoid
  • ReLU (Leaky and Exponential)
Module 09 8 Lessons
  • Tanh
  • Softmax
  • Convolutional Neural Networks (CNN) and Embedding
  • Convolution Operation
  • Pooling Layers
  • Dense Layers
  • Word2Vec
  • Sequence Models
Module 10 8 Lessons
  • RNN
  • LSTM
  • GRU
  • Regularization Techniques
  • L1 Regularization
  • L2 Regularization
  • Dropout
  • Early Stopping
Module 11 5 Lessons
  • Generative AI Project 1
  • Chatbot 1
  • Generative AI Project 2
  • Chatbot 2
  • Final Project

What You'll Learn

Practical skills covered across this Skillify training.

Programming
Python Fundamentals
Python Programming
Python Basics
Syntax and Structure
Python Syntax
Variables
Operators
Data Types
Control Flow and Loops
Conditional Statements
Loops

Frequently Asked Questions

Quick answers about Skillify courses and enrollment.

Do I need any prior experience?

No. Skillify flagship courses are designed from beginner foundations through practical advanced topics.

Will I get a certificate?

Yes. After you complete the course requirements, you can earn a Skillify certificate that can be verified online.

How long do I have access?

You get lifetime access to the course materials so you can learn at your own pace and revisit lessons anytime.

Can I learn on mobile?

Yes. You can access Skillify courses on laptop and mobile devices.

Is support available?

Yes. Learner support is available so you can get help when you need guidance during the course.

How do I enroll?

Click Enroll Now, complete checkout or free enrollment where available, then start learning from your student LMS.

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