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Build and Deploy Machine Learning Solutions with Vertex AI: Challenge Lab
Google via Google Cloud Skills Boost
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Overview
This hands-on challenge lab guides learners through the complete process of building, training, and deploying machine learning models using Google Cloud’s Vertex AI platform. Designed for data scientists, ML engineers, and developers, the lab emphasizes practical skills for creating scalable ML solutions in real-world environments. Participants start by preparing datasets and designing ML models leveraging Vertex AI’s integrated tools and AutoML capabilities. They gain experience in managing data pipelines, feature engineering, and model training using Vertex AI Workbench and Pipelines. The...
Syllabus
GSP354
Overview
Setup and requirements
Challenge scenario
Task 1. Open the notebook in Vertex AI Workbench
Task 2. Set up the notebook
Task 3. Build and train your model locally in a vertex notebook
Task 4. Use Cloub Build to build and submit your model container to Artifact Registry
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