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🤖 Machine Learning Engineering
The AI Engineer

Become a Job-Ready Machine Learning Engineer

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.

22 WeeksDuration
Beginner → AdvancedLevel
Live Online / OfflineMode
🎯 ML EngineerCareer Path
Course Snapshot
Machine Learning
Live Instructor-Led Training Real-World ML Projects Assignment & Quiz Based Learning Corporate-Level Training Placement Assistance Certificate on Completion Weekend & Weekday Batches
Overview

About This Program

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.

Curriculum

What You'll Learn

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.

Skills & Careers

Tools You'll Master & Roles You Can Target

Tools & Technologies

Python scikit-learn TensorFlow Keras Pandas NumPy Flask Git

Career Outcomes

  • Machine Learning Engineer
  • AI Engineer
  • Data Scientist
  • Applied ML Developer

Ready to Start Your Machine Learning Journey?

Join RENDUS and learn from mentors with 15+ years of industry experience, backed by real projects and placement support.

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