IT Careers · Complete track

Machine Learning Engineer

Own the full model lifecycle: data preparation, classic ML, deep learning with TensorFlow and PyTorch, and putting models into production.

Language
English, Tamil or Tanglish
Mode
Online, or offline at our Tiruppur centre
Level
Advanced

What you'll be able to do

  • Prepare data and train classic models with scikit-learn
  • Build and tune deep learning models in TensorFlow, Keras and PyTorch
  • Serve models behind an API in a Docker container
  • Track experiments and monitor models in production

What we cover

What you'll take home

Real-time projects and a portfolio on GitHub you can show employers.

Roles this prepares you for

  • Machine Learning Engineer
  • Deep Learning Engineer
  • MLOps Engineer
  • Research Engineer
  • Computer Vision Engineer

Where to go next