Machine Learning Curriculum

An intensive, hands-on journey from Python fundamentals to deploying advanced deep learning models in the cloud. Transform your career and become a machine learning practitioner.

4
Months
10
Modules
128+
Contact Hours
1
Capstone Project

This curriculum is designed to be a comprehensive, step-by-step guide into the world of machine learning. Click on any module to expand its sessions, and click on a session to view the detailed topics covered. Start your journey from foundational Python to advanced MLOps.

Course Structure & Assessment

Your performance is evaluated through a combination of continuous assessments and summative projects, ensuring a thorough grasp of both theoretical concepts and practical application. Below is a visual breakdown of the course's primary focus areas and how you'll be assessed.

Assessment Breakdown

Course Focus by Session Count

Tools & Technology Stack

You will gain hands-on experience with the most popular and powerful tools and platforms used in the machine learning industry today. This practical experience is crucial for building a professional portfolio and preparing for real-world challenges.

Python
NumPy
Pandas
Scikit-learn
TensorFlow
Keras
Matplotlib
Seaborn
AWS
Azure
GCP
Docker
Git & GitHub
Jupyter
Flask/FastAPI