Google Skills Courses

Building No-Code Apps with AppSheet: Implementation

Implement advanced AppSheet capabilities: data management, security, actions, integrations. Learn app management, performance optimization, and troubleshooting techniques for no-code development.

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

Planning for a Google Workspace Deployment

Learn Google's deployment methodology for Workspace, covering provisioning, mail flow, data migration, coexistence, and change management to ensure a smooth transition and work transformation.

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

Digital Transformation with Google Cloud

Explore cloud technology's impact on business, learn fundamental concepts, and understand computing models to drive digital transformation and leverage Google Cloud effectively.

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

Enterprise Database Migration

Learn to architect, plan, execute, and test enterprise database migrations to Google Cloud, covering SQL Server and Oracle migrations with hands-on labs and best practices.

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

Networking in Google Cloud: Hybrid Connectivity and Network Management

Explore advanced Google Cloud networking, including hybrid connectivity, private access, and network management. Optimize performance, costs, and troubleshooting with hands-on labs and real-world scenarios.

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

Reliable Google Cloud Infrastructure: Design and Process

Design reliable, scalable Google Cloud solutions using proven patterns. Learn to balance requirements, define SLOs, architect microservices, implement DevOps, choose storage, and secure deployments for optimal performance.

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

Machine Learning Operations (MLOps): Getting Started

Explore MLOps tools and best practices for deploying, evaluating, monitoring, and operating production ML systems on Google Cloud, focusing on automation and continuous improvement.

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

Production Machine Learning Systems

Implement production ML systems with static/dynamic training, inference, and processing. Learn TensorFlow, distributed training, and custom estimators for advanced machine learning on Google Cloud.

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

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

Learn to design, document, and manage APIs using Google Cloud's Apigee platform. Covers API lifecycle, OpenAPI specs, API proxies, and API products. Hands-on labs provide practical experience in building and securing API solutions.

• 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

Explore computer vision strategies using Google Cloud, from pre-built ML models to custom image classifiers. Learn to improve model accuracy and tackle practical challenges in image classification.

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

Recommendation Systems on Google Cloud

In this course, you apply your knowledge of classification models and embeddings to build a ML pipeline that functions as a recommendation engine. This is the fifth and final course of the Advanced Machine Learning on Google Cloud series.

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

Networking in Google Cloud: Defining and Implementing Networks

Explore Google Cloud networking options, including VPC networks, subnets, firewalls, access control, network sharing, and load balancing through lectures, demos, and hands-on labs.

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

Launching into Machine Learning

Explore machine learning fundamentals, from data quality to model optimization, using Vertex AI AutoML and BigQuery ML. Gain practical skills in building, training, and deploying ML models without coding.

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

TensorFlow on Google Cloud

This course covers designing and building a TensorFlow input data pipeline, building ML models with TensorFlow and Keras, improving the accuracy of ML models, writing ML models for scaled use, and writing specialized ML models.

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