Google Skills Courses

NCAA® March Madness®: Bracketology with Google Cloud

Analyze NCAA basketball data using BigQuery and SQL, then build a machine learning model to predict March Madness game outcomes.

• Google Skills
• 3 hours
• Self-Paced
• Paid Course

Cloud Engineering

Hands-on practice for Google Cloud Associate Cloud Engineer certification, covering IAM, networking, Kubernetes, and more. Enhance skills through curated labs and practical exercises.

• Google Skills
• 5 hours
• Self-Paced
• Paid Course

BigQuery for Data Warehousing

Master data warehousing with BigQuery: optimize ETL, analyze terabytes of data, and learn best practices for creating, querying, and troubleshooting large-scale datasets on Google Cloud.

• Google Skills
• 6 hours
• Self-Paced
• Paid Course

BigQuery Basics for Data Analysts

Learn to query and analyze large datasets efficiently using Google's BigQuery, focusing on SQL skills, data exploration, and visualization with Looker Studio.

• Google Skills
• 4 hours 15 minutes
• Self-Paced
• Paid Course

BigQuery for Marketing Analysts

Learn to analyze marketing data using BigQuery, create dashboards, and gain valuable insights. Master SQL querying, data ingestion, and BI tools for large-scale data analysis and visualization.

• Google Skills
• 7 hours
• Self-Paced
• Paid Course

BigQuery for Machine Learning

Explore machine learning with BigQuery ML: create, train, and evaluate models using SQL. Learn various model types and their applications in this hands-on series.

• Google Skills
• 4 hours
• Self-Paced
• Paid Course

Intro to ML: Language Processing

Explore machine learning for language processing using Google Cloud Platform's APIs. Practice entity extraction, sentiment analysis, and speech-to-text transcription in hands-on labs.

• Google Skills
• 2 hours 30 minutes
• Self-Paced
• Paid Course

Intro to ML: Image Processing

Explore image processing with Google Cloud Platform's ML tools. Learn to label images, detect faces and landmarks, and extract text using powerful APIs and AutoML.

• Google Skills
• 3 hours
• Self-Paced
• Paid Course

Intermediate ML: TensorFlow on Google Cloud

Learn to build, train, and deploy custom TensorFlow models on Google Cloud, from image classification to distributed computing, enhancing your ML skills beyond predefined models.

• Google Skills
• 3 hours 30 minutes
• Self-Paced
• Paid Course

Advanced ML: ML Infrastructure

Hands-on practice with advanced machine learning infrastructure on Google Cloud Platform, focusing on scalability, deployment, and innovative tools for various ML tasks.

• Google Skills
• 4 hours 45 minutes
• Self-Paced
• Paid Course

Cloud Logging

Explore Google Cloud's logging capabilities for real-time analysis, monitoring, and alerting on log data from VMs and applications. Gain hands-on experience with practical labs.

• Google Skills
• 5 hours
• Self-Paced
• Paid Course

Cloud Healthcare API

Explore Google Cloud's Healthcare API for seamless integration of medical data formats, enabling advanced analytics and machine learning capabilities in healthcare applications.

• Google Skills
• 5 hours 30 minutes
• Self-Paced
• Paid Course

Understand Your Google Cloud Costs

Learn to manage Google Cloud costs through billing setup, resource organization, cost tracking, and data analysis using reports, BigQuery, and Looker Studio.

• Google Skills
• 3 hours 30 minutes
• Self-Paced
• Paid Course

Using the Cloud SDK Command Line

Learn to install, configure, and use Google Cloud's command-line tools for managing VMs, networks, IAM, storage, and BigQuery, enhancing your efficiency in cloud operations.

• Google Skills
• 4 hours
• Self-Paced
• Paid Course

DevOps Essentials

Gain a competitive edge with DevOps on Google Cloud, improving software delivery speed, reliability, and stakeholder collaboration.

• Google Skills
• 3 hours 30 minutes
• Self-Paced
• Paid Course