Professional Certificate: Machine Learning & MLOps Engineering

Master machine learning concepts, algorithms, and real-world applications using Python.

12 Weeks
Online / Offline
English & Tamil
Enroll Now

Course Overview

Harness the power of data with our intensive Machine Learning curriculum. Focused heavily on predictive modeling, regression, clustering, and deep learning, this course will teach you how to build algorithms that learn from data. You will master tools like Scikit-Learn, TensorFlow, and Pandas to become an industry-ready ML engineer.

Skills You Will Master

Machine Learning Algorithms Data Preprocessing & Feature Engineering Model Evaluation & Optimization Python for ML Deep Learning Basics ML Model Deployment

Course Curriculum

1. Introduction to Machine Learning

  • Definition of ML, AI, and Data Science
  • Types of ML: Supervised, Unsupervised, Reinforcement Learning
  • Applications of ML: healthcare, finance, robotics, recommendation systems
  • Steps in a Machine Learning project
  • Overview of ML tools & libraries: Python, scikit-learn, pandas, NumPy

2. Mathematics for Machine Learning

  • Linear Algebra: vectors, matrices, operations, eigenvalues, eigenvectors
  • Probability & Statistics: probability theory, distributions, Bayes theorem, expectation, variance
  • Calculus: derivatives, gradients, chain rule
  • Optimization: gradient descent, cost/loss functions, convergence

3. Python Programming for ML

  • Python basics: variables, loops, functions, OOP
  • Libraries: NumPy, pandas, matplotlib, seaborn
  • Data handling: reading CSV/Excel, missing value handling, data cleaning
  • Data visualization: histograms, scatter plots, boxplots, pairplots

4. Supervised Learning

  • Regression: Linear Regression, Polynomial Regression
  • Classification: Logistic Regression, K-Nearest Neighbors (KNN), Decision Trees, Random Forest, Support Vector Machines (SVM)
  • Model evaluation metrics: accuracy, precision, recall, F1-score, ROC-AUC
  • Overfitting & Underfitting, Bias-Variance tradeoff
  • Cross-validation, train-test split, hyperparameter tuning

5. Unsupervised Learning

  • Clustering: K-Means, Hierarchical Clustering, DBSCAN
  • Dimensionality Reduction: PCA (Principal Component Analysis)
  • Association Rule Learning: Apriori, Eclat algorithms
  • Applications: market segmentation, anomaly detection

6. Feature Engineering & Data Preprocessing

  • Handling missing values
  • Encoding categorical variables (One-hot, Label encoding)
  • Feature scaling: Standardization, Normalization
  • Feature selection & importance
  • Dealing with imbalanced datasets

7. Advanced Supervised Learning

  • Ensemble methods: Bagging, Boosting, AdaBoost, Gradient Boosting, XGBoost
  • Regularization: Ridge, Lasso, Elastic Net
  • Model selection & evaluation techniques
  • Time series forecasting basics

8. Neural Networks & Deep Learning Basics

  • Introduction to Neural Networks: perceptron, multilayer perceptron
  • Activation functions: Sigmoid, ReLU, Tanh
  • Forward propagation & backpropagation
  • Frameworks: TensorFlow, Keras, PyTorch basics
  • Applications: image recognition, text classification

9. Model Evaluation & Hyperparameter Tuning

  • Confusion matrix and performance metrics
  • Cross-validation strategies
  • Grid Search & Random Search for hyperparameter optimization
  • Bias-variance tradeoff in real-world models

10. Machine Learning Project Workflow

  • Problem definition & data collection
  • Data cleaning & preprocessing
  • Model selection, training & evaluation
  • Deployment basics (Flask, Django, Streamlit)
  • Case studies: predictive analytics, recommendation system, classification projects

11. Specialized Topics (Advanced)

  • Natural Language Processing (NLP) basics
  • Image processing & computer vision
  • Reinforcement Learning introduction
  • Unsupervised anomaly detection
  • Transfer learning

Local Training Campuses & Placement Drives

Classroom & hybrid batches in Coimbatore & Chennai

Coimbatore • Training

Professional Certificate: Machine Learning & MLOps Engineering
Chennai • Training

Professional Certificate: Machine Learning & MLOps Engineering

Take the Next Step in Your Career

Join our comprehensive Professional Certificate: Machine Learning & MLOps Engineering program and gain real-world skills that employers demand.

Enroll Today Download Syllabus