Linkedin – Full-Stack Deep Learning with Python

Full-stack deep learning encompasses the complete lifecycle of building and deploying machine learning systems—from project planning and data preparation to model training, optimization, and deployment. In this course, join data engineer Janani Ravi as she explores each stage of the lifecycle in Python, using MLflow for MLOps and Optuna for hyperparameter tuning.

Learn how to manage machine learning artifacts and environments for reproducibility and scalability, and practice deploying models to serve real-world applications. Upon completing this course, you’ll be equipped with the skills you need to automate and optimize machine learning processes and build full-stack deep learning systems from end to end.