Incorporating machine learning into data pipelines increases the ability of businesses to extract insights from their data. This course covers several ways machine learning can be included in data pipelines on Google Cloud depending on the level of customization required. For little to no customization, this course covers AutoML. For more tailored machine learning capabilities, this course introduces Notebooks and BigQuery machine learning (BigQuery ML). Also, this course covers how to productionalize machine learning solutions using Kubeflow. Learners will get hands-on experience building machine learning models on Google Cloud using QwikLabs.Read more.
This resource is offered by an affiliate partner. If you pay for training, we may earn a commission to support this site.
The techniques and tools covered in Smart Analytics, Machine Learning, and AI on GCP are most similar to the requirements found in Data Scientist job advertisements.
