Build intelligent systems that learn from data and power the next generation of products.
Machine Learning is the foundation of many computing principles and careers in modern technology. From recommendation engines to fraud detection and self-driving cars, ML powers the smartest products in the world.
This program takes you from the math fundamentals to production-grade model deployment with hands-on projects, real datasets, and industry mentorship.
Key topics and hands-on skills covered in this program.
Linear algebra, probability, calculus and statistics for ML.
NumPy, Pandas, Matplotlib, Scikit-learn and Jupyter workflows.
Regression, classification, decision trees, SVM, ensembles.
Clustering, PCA, dimensionality reduction and anomaly detection.
Neural networks, CNNs and RNNs using TensorFlow and Keras.
MLOps, REST APIs, Docker and cloud deployment.
Talk to our training team about batches, fees, and certification details.
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