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
