Google Skills Courses

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

Build and connect Google Cloud VPC networks: multiple network interfaces, Network Service Tiers, VPC Network Peering, Shared VPC, plus resource monitoring and VPC Flow Logs analysis.

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

Launching into Machine Learning

Improve data quality through exploratory data analysis, train no-code AutoML models in Vertex AI, build models with BigQuery ML, and tackle loss curves, generalization, and sampling.

• 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

Machine Learning in the Enterprise

Work through an enterprise ML case study: govern data with Dataplex and Feature Store, prep it in Dataprep, then train, tune, monitor and pipeline models on Vertex AI.

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

Smart Analytics, Machine Learning, and AI on Google Cloud

Add machine learning to data pipelines on Google Cloud: call prebuilt ML APIs, build models in BigQuery ML and AutoML, and run production pipelines on Vertex AI.

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

Mitigating Security Vulnerabilities on Google Cloud

Mitigate DDoS, ransomware, and content-related threats on Google Cloud using Cloud Armor, the DLP API, Security Command Center, and Cloud Logging and audit logs.

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

Hybrid Cloud Modernizing Applications with Anthos

Modernize applications on Anthos: build CI/CD pipelines with Cloud Build and Cloud Deploy, deploy services to Cloud Run and Knative, and migrate workloads onto Anthos clusters.

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

Multi-Cluster, Multi-Cloud with Anthos

Manage hybrid and multi-cloud Kubernetes with Anthos: create clusters on AWS and Azure, set up fleet networking and multi-cluster gateways, and enforce policy with Config Management.

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

Anthos on Bare Metal

Deploy and run Anthos on bare metal on-premises: build admin and user clusters, enable authentication, configure storage, deploy workloads, and set up logging and monitoring.

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

Building Batch Data Pipelines on Google Cloud

Design, build, and optimize batch data pipelines on Google Cloud using Dataflow, Serverless for Apache Spark, and Cloud Composer, with data validation, deduplication, and alerting.

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

Modernizing Data Lakes and Data Warehouses with Google Cloud

Build a data lakehouse on Google Cloud: combine Cloud Storage and Apache Iceberg tables with BigQuery partitioning, federated queries to AlloyDB, and lakehouse governance.

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

Cloud Operations and Service Mesh with Anthos

Operate and observe Anthos Service Mesh: configure traffic routing policies, secure service-to-service communication with authentication and authorization, and set up multi-cluster east-west and north-south routing.

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

Architecting and Installing the Apigee Hybrid API Platform

Install and operate Apigee hybrid: explore hybrid architecture, networking, terminology and the Apigee API, then run the installation process, platform operations, and backup and restore.

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

Google Cloud Fundamentals for AWS Professionals

Map AWS knowledge onto Google Cloud: compare EC2, S3, RDS, VPC and ECS with Compute Engine, Cloud Storage, Cloud SQL, GKE and IAM through hands-on labs.

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