Qwiklabs | Executing Distributed TensorFlow on Vertex AI [GSP971]

Posted by

Qwiklabs | Running Distributed TensorFlow using Vertex AI [GSP971]

Qwiklabs | Running Distributed TensorFlow using Vertex AI [GSP971]

Qwiklabs is a hands-on training platform designed to help individuals learn about various cloud technologies and services. One of the labs offered on Qwiklabs is titled “Running Distributed TensorFlow using Vertex AI [GSP971]”. This lab is designed to help participants learn how to run distributed TensorFlow jobs using Google Cloud’s Vertex AI service.

Participants in this lab will get hands-on experience with setting up a TensorFlow job on Vertex AI, training a model using multiple GPUs, and monitoring the job’s progress. By the end of the lab, participants will have a good understanding of how to leverage Vertex AI for running distributed TensorFlow jobs efficiently.

Google Cloud’s Vertex AI service offers a range of tools and services for building machine learning models at scale. By using Vertex AI’s distributed training capabilities, users can train their models faster and more efficiently by distributing the workload across multiple GPUs.

Overall, the “Running Distributed TensorFlow using Vertex AI [GSP971]” lab on Qwiklabs is a great opportunity for individuals to gain practical experience with running distributed TensorFlow jobs on Google Cloud’s Vertex AI platform. Whether you are a beginner or an experienced cloud professional, this lab can help you enhance your skills and knowledge in the field of machine learning and artificial intelligence.