Taking your code from the lab and into production!
Transform your ML skills from models to real-world applications. By bridging the gap between data science and software engineering, you'll acquire the critical knowledge and abilities necessary to transform any ML model within a Jupyter notebook into a fully operational, production-ready microservice from scratch!
- Knowledge and practical experience of Python syntax
- Experience in model development in Python (train-test split, tuning hyperparameters, evaluating model performance, making predictions)
Who can benefit?
Ideal for aspiring data scientists or software engineers at any stage of their career, seeking to fast-track their engineering skills / become an ML Engineer.
Get to know the detailed course outline by watching Course Compass: Exploring the Jorney Ahead!
Check out the free preview videos to confirm this course is right for you!