After months of requests from students and hiring partners, we're launching a dedicated AI & Machine Learning Engineering track.
What's different about this course
Plenty of ML courses teach you to train a model in a notebook. Very few teach you to ship one. This track is built around the work that ML engineers actually get paid for:
- Python and data handling with Pandas and NumPy
- Classical ML with scikit-learn — and knowing when it's enough
- Deep learning with PyTorch
- Building applications on top of large language models: prompting, retrieval, evaluation
- Deploying models as APIs and monitoring them
Who it's for
Working developers who want to move into AI roles, data analysts stepping up to engineering, and strong graduates with Python basics.
Batch details
The first live-online batch starts soon with a maximum of 15 seats. Every session is recorded, and placement support applies as with all our courses.
Learn this properly
