Nach diesen Kursen fühle ich mich sicher, professionelle Visualisierungen und Dashboards zu erstellen.
Shoebur RahmanBeschaffungsspezialist, Giz Bangladesh
Kursbeschreibung
This course introduces participants to MLOps tools and best practices for deploying, evaluating, monitoring and operating production ML systems on Google Cloud. MLOps is a discipline focused on the deployment, testing, monitoring, and automation of ML systems in production. Machine Learning Engineering professionals use tools for continuous improvement and evaluation of deployed models. They work with (or can be) Data Scientists, who develop models, to enable velocity and rigor in deploying the best performing models.
Voraussetzungen
Für diesen Kurs gibt es keine Voraussetzungen
Lernprogramm
Kursübersicht
1
Welcome to the Machine Learning Operations (MLOps): Getting Started
2
Employing Machine Learning Operations
This module identifies ML practitioners' pain points before exploring the concept of DevOps in ML. You're introduced to the three phases of the ML lifecycle and automating the ML process.
3
Vertex AI and MLOps on Vertex AI
This module explores what Vertex AI is and why a unified platform matters.
4
Summary
Summary
R
Machine Learning Operations (MLOps): Getting Started
Kurs
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