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Master Certificate in Machine Learning Professional

A comprehensive master-level Machine Learning program that takes learners from mathematical foundations to real-world AI model deployment. Learn supervised and unsupervised learning, feature engineering, model evaluation, TensorFlow, Keras, Streamlit, Flask, MLOps fundamentals, and build end-to-end machine learning solutions for business problems.

4 Months Duration
160 Hours
Online / Offline
Weekday Batch · Weekend Batch
PythonNumPyPandasScikit-learnTensorFlowKerasStreamlitFlaskGit & GitHub

Course Overview

A comprehensive master-level Machine Learning program that takes learners from mathematical foundations to real-world AI model deployment. Learn supervised and unsupervised learning, feature engineering, model evaluation, TensorFlow, Keras, Streamlit, Flask, MLOps fundamentals, and build end-to-end machine learning solutions for business problems. This course is designed to be practical and project-focused, ensuring you gain real, applicable skills rather than just theoretical knowledge.

Who Is This Course For?

Engineering students
Aspiring Data Scientists
Python developers
AI enthusiasts
Working professionals entering ML

Prerequisites

  • Basic Python programming knowledge recommended
  • Familiarity with high school mathematics is helpful
  • Laptop with Python development environment

What You Will Learn

Understand the complete machine learning lifecycle
Apply mathematics, probability, and statistics in ML
Build regression, classification, clustering, and ensemble models
Evaluate and optimize models using cross-validation and hyperparameter tuning
Develop neural networks using TensorFlow and Keras
Create explainable and production-ready machine learning solutions
Deploy ML models using Streamlit and Flask APIs
Implement foundational MLOps and model monitoring practices

Complete Syllabus

  • Machine Learning Workflow
  • Linear Algebra
  • Vectors & Matrices
  • Eigenvalues
  • Basic Calculus
  • Gradients
  • Probability & Bayes' Theorem
  • NumPy & Pandas
  • Matplotlib & Seaborn
  • Data Cleaning
  • Missing Values
  • Feature Scaling & Selection

Projects in This Course

Customer Churn Prediction
House Price Prediction
Sales Forecasting Model
Image Classification Prototype
End-to-End Machine Learning Deployment

Career Paths After This Course

Machine Learning Engineer
AI Engineer
Data Scientist
ML Research Associate
Applied AI Developer

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