Streamlining Wildlife Image Classification in BigQuery with Imported Model Google Cloud Lab Solution

Follow along with this video to solve the lab on your own!

📊🫎
Try the Lab:
www.cloudskillsboost.google/paths/1281/course_temp…

What is the lab about?📈🐼
In this lab, you learn how to help streamline an image classification workflow in BigQuery using an imported model (PyTorch model created in ONNX format), and Google SQL queries.

As a new data analyst at Cymbal Media and Entertainment, you have been tasked to experiment with an imported model and BigQuery Machine Learning for inference to classify wildlife images. This project aims to automate the image classification process, simplify content creation, and potentially build a larger database of wildlife images for future content on Cymbal's streaming platform.

ONNX is an open format built to represent machine learning models. ONNX defines a common set of operators — the building blocks of machine learning and deep learning models — and a common file format to enable AI developers to use models with a variety of frameworks, tools, runtimes, and compilers.🌲
BigQuery is a fully managed, AI-ready data analytics platform which helps you maximize value from your data and is designed to be multi-engine, multi-format, and multi-cloud. One of its key features is BigQuery Machine Learning for inference, which lets you create and run machine learning (ML) models by using SQL queries.

💻💖
Want to get badges for LinkedIn or work?
Explore the Google Cloud Skills Boost Generative AI Learning Path.
www.cloudskillsboost.google/focuses/104686?parent=…
🖱️💜
Looking for a fun way to learn and earn rewards?
Check out the Google Cloud Arcade for a gamified experience, earning badges and merch while boosting your skills.
go.qwiklabs.com/arcade?utm_source=googlecloud&utm_…