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Design, train and deploy machine learning models using Python, scikit-learn and deep learning frameworks. Go from fundamentals to production-ready ML projects with live instructor-led training and real-world mentorship.
This program takes you from Python and math foundations to building, evaluating and deploying machine learning models. You'll work with classical ML algorithms and deep learning basics while building a portfolio of applied ML projects guided by working professionals.
A structured, project-driven curriculum designed to take you from fundamentals to industry-ready skills.
Linear algebra, statistics and Python essentials for machine learning.
Regression, classification and ensemble methods.
Clustering, dimensionality reduction and pattern discovery.
Cross-validation, metrics and tuning techniques for better models.
Fundamentals of neural networks using TensorFlow/Keras.
Serving models in production using Flask/FastAPI.
An end-to-end applied ML project for your professional portfolio.
Join RENDUS and learn from mentors with 15+ years of industry experience, backed by real projects and placement support.
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