Member since 2022
DEPRECATED Build and Deploy Machine Learning Solutions on Vertex AI
Earned Jul 28, 2022 EDT
Prepare Data for ML APIs on Google Cloud
Earned May 11, 2022 EDT
Cloud Security Challenge
Earned Apr 28, 2022 EDT
Set Up an App Dev Environment on Google Cloud
Earned Apr 22, 2022 EDT
Implementing Cloud Load Balancing for Compute Engine
Earned Apr 8, 2022 EDT
Google Cloud Essentials
Earned Mar 30, 2022 EDT
Earn the intermediate skill badge by completing the Build and Deploy Machine Learning Solutions on Vertex AI skill badge course, where you learn how to use Google Cloud's Vertex AI platform, AutoML, and custom training services to train, evaluate, tune, explain, and deploy machine learning models.
Complete the introductory Prepare Data for ML APIs on Google Cloud skill badge to demonstrate skills in the following: cleaning data with Dataprep by Trifacta, running data pipelines in Dataflow, creating clusters and running Apache Spark jobs in Dataproc, and calling ML APIs including the Cloud Natural Language API, Google Cloud Speech-to-Text API, and Video Intelligence API.
Security is one of the important aspects in the world of technology and to ensure it Google Cloud has developed some special tools. Welcome to the Cloud Security Challenge where you will get hands-on experience with Google Cloud’s Identity and Access Management (IAM) service, learn more about what tools are available for security threat and data loss protections and more. Join this game to speedrun through the Security & Identity Fundamentals quest!
Earn a skill badge by completing the Set Up an App Dev Environment on Google Cloud skill badge course, where you learn how to build and connect storage-centric cloud infrastructure using the basic capabilities of the following technologies: Cloud Storage, Identity and Access Management, Cloud Functions, and Pub/Sub.
Complete the introductory Implementing Cloud Load Balancing for Compute Engine skill badge to demonstrate skills in the following: creating and deploying virtual machines in Compute Engine and configuring network and application load balancers.
In this introductory-level course, you get hands-on practice with the Google Cloud’s fundamental tools and services. Optional videos are provided to provide more context and review for the concepts covered in the labs. Google Cloud Essentials is a recommendeded first course for the Google Cloud learner - you can come in with little or no prior cloud knowledge, and come out with practical experience that you can apply to your first Google Cloud project. From writing Cloud Shell commands and deploying your first virtual machine, to running applications on Kubernetes Engine or with load balancing, Google Cloud Essentials is a prime introduction to the platform’s basic features.