BigQuery ML Courses and Certifications

Create ML Models with BigQuery ML

Create and evaluate machine learning models in BigQuery ML for data predictions, including classification and forecasting, with hands-on practice and a final assessment challenge.

• Google Skills
• 1 hour 45 minutes
• On-Demand
• Paid Course

Innovating with Google Cloud Artificial Intelligence

2 ratings at Udacity

Discover how to build smarter applications using Google Cloud's AI APIs for translation, computer vision, and conversational intelligence in this comprehensive guide.

• Udacity
• 1 hour
• On-Demand
• Free Online Course

BigQuery 머신러닝을 사용한 추론

알아보고 BigQuery ML을 활용한 추론 기법, 데이터 분석가를 위한 사용 사례, 지원되는 모델 유형 및 BigQuery에서 ML 모델을 생성하고 관리하는 방법을 마스터하세요.

• Coursera
• 3 hours 45 minutes
• On-Demand
• Paid Course

Menggunakan BigQuery Machine Learning untuk Inferensi

Pelajari BigQuery ML untuk inferensi, cara membuat dan mengelola model ML, serta mengapa analis data harus menggunakannya untuk berbagai kasus penggunaan.

• Coursera
• 3 hours 45 minutes
• On-Demand
• Paid Course

透過 BigQuery 機器學習執行推論作業

瞭解如何利用 BigQuery 機器學習進行推論作業，掌握模型建立、管理技巧，並探索資料分析師的應用實例與支援的機器學習模型。

• Coursera
• 3 hours 45 minutes
• On-Demand
• Paid Course

Utiliser BigQuery Machine Learning pour l'inférence

Découvrez BigQuery ML pour l'inférence, ses cas d'utilisation et comment créer et gérer des modèles de ML dans BigQuery, spécialement conçu pour les analystes de données.

• Coursera
• 3 hours 45 minutes
• On-Demand
• Paid Course

Deploy a BigQuery ML Customer Churn Classifier to Vertex AI for Online Predictions

Train, tune, and deploy an XGBoost model using BigQuery ML and Vertex AI to predict user retention for a mobile app, leveraging Google Analytics 4 data for insights.

• Coursera
• 1 hour 30 minutes
• On-Demand
• Paid Course

Building Demand Forecasting with BigQuery ML

This is a self-paced lab that takes place in the Google Cloud console. In this lab you will build a time series model to forcast demand of multiple products using BigQuery ML. This lab is based on a blog post and featured in an episode of Cloud OnAir.

• Coursera
• 1 hour
• On-Demand
• Paid Course

Google BigQuery for Data and ML Engineers

Master BigQuery's serverless architecture, advanced SQL, and ML capabilities to build efficient data pipelines and deploy models for real-world data engineering projects.

• Coursera
• 6 hours 2 minutes
• On-Demand
• Paid Course

Feature Engineering

1794 ratings at Coursera

Explore feature engineering techniques to enhance ML model accuracy using Vertex AI, BigQuery ML, Keras, and TensorFlow. Learn data preprocessing, feature creation, and advanced practices.

• Coursera
• 8 hours 25 minutes
• On-Demand
• Paid Course

Machine Learning in the Enterprise

1494 ratings at Coursera

Explore enterprise ML workflow, data management, and model building options using Google Cloud tools. Learn custom training, hyperparameter tuning, and best practices for ML development.

• Coursera
• 17 hours 47 minutes
• On-Demand
• Paid Course

Smart Analytics, Machine Learning, and AI on Google Cloud

1245 ratings at Coursera

Explore machine learning integration in Google Cloud data pipelines, from AutoML to custom solutions with Notebooks, BigQuery ML, and Vertex AI for enhanced data insights.

• Coursera
• 6 hours 36 minutes
• On-Demand
• Paid Course

Google Cloud;  New York Institute of Finance

Introduction to Trading, Machine Learning & GCP

897 ratings at Coursera

Explore trading fundamentals, machine learning, and Google Cloud Platform to build quantitative strategies and models using Python, focusing on regression, time series, and neural networks.

• Coursera
• 5 hours 25 minutes
• On-Demand
• Paid Course

Create ML Models with BigQuery ML: Challenge Lab

This challenge lab tests your skills in developing and using machine learning models using BigQuery

• Google Skills
• 1-2 hours
• On-Demand
• Paid Course

Deploy a BigQuery ML Customer Churn Classifier to Vertex AI for Online Predictions

Deploy BigQuery ML churn classifier to Vertex AI for online predictions, using Google Analytics 4 data to determine user return likelihood in a mobile app. Train, tune, evaluate, and generate predictions.

• Google Skills
• 1-2 hours
• On-Demand
• Paid Course