Google Skills Courses

Exploring and Preparing your Data with BigQuery

Explore and transform an ecommerce dataset with BigQuery SQL: write queries with filters, aggregates and date functions, manage query costs, and build Dataprep and Data Fusion pipelines.

• Google Skills
• 1 day
• Self-Paced
• Paid Course

The Modern Data Platform and LookML

Build Looker data models in LookML: create views, dimensions, measures, and Explores, work in development mode with Git branching, after comparing transactional and analytical databases.

• Google Skills
• 1 hour 45 minutes
• Self-Paced
• Free Online Course

Creating New BigQuery Datasets and Visualizing Insights

Ingest external datasets into BigQuery, create permanent tables, views and date-partitioned tables, merge sources with JOINs, UNIONs and table wildcards, and build Looker Studio reports.

• Google Skills
• 1 day
• Self-Paced
• Paid Course

Building No-Code Apps with AppSheet: Implementation

Implement data structures, actions, automation, and security filters in AppSheet apps, integrate them via REST APIs and webhooks, then version, monitor, and troubleshoot them.

• Google Skills
• 1 day
• Self-Paced
• Paid Course

Planning for a Google Workspace Deployment

Plan a Google Workspace deployment: choose provisioning, mail routing, data migration, and coexistence strategies, and apply change management so users transition smoothly.

• Google Skills
• 2 hours
• Self-Paced
• Free Certificate

Digital Transformation with Google Cloud

Explore how cloud technology drives digital transformation: cloud deployment strategies, service models, the shared responsibility model, and Google's global network infrastructure.

• Google Skills
• 2 hours
• Self-Paced
• Free Online Course

Feature Engineering

Turn raw data into model features: evaluate good versus bad features, build feature crosses and bucketized columns in BigQuery ML, Keras, and TensorFlow Transform.

• Google Skills
• 1 day
• Self-Paced
• Paid Course

Enterprise Database Migration

Plan and execute enterprise database migrations to Google Cloud: move SQL Server to Compute Engine, Cloud SQL, and GKE, Oracle to Bare Metal Solution, and build the business case.

• Google Skills
• 1 day 8 hours
• Self-Paced
• Paid Course

Networking in Google Cloud: Hybrid Connectivity and Network Management

Route and address traffic in Google Cloud: configure routes, IPv6 and BYOIP, steer Cloud DNS traffic by geolocation, and implement Private Google Access and Cloud NAT.

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

Reliable Google Cloud Infrastructure: Design and Process

Design reliable, secure, cost-effective Google Cloud deployments: define SLIs and SLOs, architect microservices and REST APIs, build DevOps pipelines, plan for disaster, and monitor applications.

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

Machine Learning Operations (MLOps): Getting Started

Learn when to employ MLOps: apply DevOps ideas to the ML lifecycle and automate, deploy, monitor and evaluate production models with Vertex AI pipelines.

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

Production Machine Learning Systems

Build production ML systems: choose static, dynamic, or continuous training, mitigate concept drift with TensorFlow Data Validation, and run distributed training with Keras strategies and TPUs.

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

API Design and Fundamentals of Google Cloud's Apigee API Platform

Design REST APIs documented with OpenAPI specifications, then build, secure and deploy them as Apigee API proxies and publish them as API products with API keys.

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

Managing and Securing the Apigee Hybrid API Platform

This course discusses how environments are managed in Apigee hybrid, and how runtime plane components are secured. You will also learn how to deploy and debug API proxies in Apigee hybrid, and about capacity planning and scaling.

• Google Skills
• 1 hour
• Self-Paced
• Free Online Course

Computer Vision Fundamentals with Google Cloud

Build image classifiers on Google Cloud: call the Vision API, train AutoML Vision on Vertex AI, and code linear, DNN and CNN models with augmentation and transfer learning.

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