Deploying a Machine Learning Model on Vertex AI

I completed a hands-on lab on Google Cloud Platform, where I learned to develop and deploy a machine learning model. Key highlights of the project: - Trained a BERT sentiment classifier locally using a large IMDb review dataset - Containerized the model code using Cloud Build and pushed it to Artifact Registry - Automated the training and deployment process with Vertex Pipelines - Deployed the model to a Vertex Endpoint for online predictions This project gave me valuable experience in the end-to-end ML workflow on GCP, from local development to production deployment.