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15

Build and Deploy Machine Learning Solutions on Vertex AI

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15

Build and Deploy Machine Learning Solutions on Vertex AI

magic_button Machine Learning Model Training Vertex AI AutoML
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8 hours 15 minutes Intermediate universal_currency_alt 21 Credits
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.

When you complete this course, you can earn the badge displayed here! View all the badges you have earned by visiting your profile page. Boost your cloud career by showing the world the skills you have developed!

Badge for Build and Deploy Machine Learning Solutions on Vertex AI
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Course Info
Objectives
  • 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
Prerequisites
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.
Available languages
English
What do I do when I finish this course?
After finishing this course, you can explore additional content in your learning path or browse the catalog.
What badges can I earn?
Upon finishing the required items in a course, you will earn a badge of completion. Badges can be viewed on your profile and shared with your social network.
Interested in taking this course with one of our authorized on-demand partners?
Explore Google Cloud content on Coursera and Pluralsight.
Prefer learning with an instructor?
View the public classroom schedule here.
Can I take this course for free?
When you enroll into most courses, you will be able to consume course materials like videos and documents for free. If a course consists of labs, you will need to purchase an individual subscription or credits to be able consume the labs. Labs can also be unlocked by any campaigns you participate in. All required activities in a course must be completed to be awarded the completion badge.
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