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Build and Deploy Machine Learning Solutions on Vertex AI

Build and Deploy Machine Learning Solutions on Vertex AI

magic_button Machine Learning Model Training Vertex AI AutoML
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8 horas 15 minutos Intermedio universal_currency_alt 21 créditos
Earn a skill badge by completing the Build and Deploy Machine Learning Solutions with Vertex AI course, where you will learn how to use Google Cloud's unified Vertex AI platform and its AutoML and custom training services to train, evaluate, tune, explain, and deploy machine learning solutions.


This skill badge course is for professional Data Scientists and Machine Learning Engineers. The datasets and labs are built around high business impact enterprise machine learning use cases; these include retail customer lifetime value prediction, mobile game churn prediction, visual car part defection identification, and fine tuning BERT for review sentiment classification. Learners who complete this skill badge will gain hands-on experience with Vertex AI for new and existing ML workloads and be able to leverage AutoML, custom training, and new MLOps services to significantly enhance development productivity and accelerate time to value.


A skill badge is an exclusive digital badge issued by Google Cloud in recognition of your proficiency with Google Cloud products and services and tests your ability to apply your knowledge in an interactive hands-on environment. Complete this Skill Badge, and the final assessment challenge lab, to receive a digital badge that you can share with your network.

Complete esta actividad y gane una insignia. Impulse su carrera de nube mostrándole al mundo las habilidades que desarrolló.

Insignia de Build and Deploy Machine Learning Solutions on Vertex AI
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Información del curso
Objetivos
  • Write and train models locally in a hosted Vertex Notebook
  • Containerize your training code and push it to Google Cloud Artifact Registry
  • Create managed image dataset artifacts for experiment tracking
  • Train a BigQuery ML (BQML) XGBoost classifier
  • Trigger a training job using the Vertex AI Console
  • Create a custom model evaluation component using the KFP SDK
  • Incorporate pre-built KFP components into your pipeline
  • Deploy your trained models to a Vertex Endpoint for online predictions
  • Query your model for online predictions and explanations
Requisitos previos
Prior to enrolling in this skill badge course, it is recommended that you have prior experience with Python programming as covered in the Google Python Class and that you complete the Machine Learning Crash Course. See the Google Cloud Tech AI Simplified video series for an overview of Vertex AI.
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Después de finalizar el curso, puede consultar contenido adicional en su ruta de aprendizaje o explorar el catálogo de aprendizaje.
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Cuando complete un curso, obtendrá una insignia de finalización. Puede ver las insignias en su perfil y compartirlas en sus redes sociales.
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