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 Vertex AI. Learners will get hands-on experience building machine learning models on Google Cloud using QwikLabs.
About this Course
- 5 stars68.97%
- 4 stars23.94%
- 3 stars4.49%
- 2 stars1.46%
- 1 star1.12%
TOP REVIEWS FROM SMART ANALYTICS, MACHINE LEARNING, AND AI ON GOOGLE CLOUD
In general - very hot industry knowledge, however it feels that this content needs some time to get flawless and robust as the other ones from this specialization.
Very good course to experience all the diverse offerings for ML on GCP.
This course helped me to do smart analytics, and in my current job I was able to apply Machine Learning easily on GCP, and I helped my team to the AI platform like experts.
Amazing to be part of this great learning Journey!! I am learning concepts and strong fundamentals to build a good foundation.
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