Smart Analytics, Machine Learning, and AI on Google Cloud

Incorporating machine learning into data pipelines increases the ability to extract insights from data. This course covers ways machine learning can be included in data pipelines on Google Cloud. 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 by using Vertex AI.

• Differentiate between ML, AI, and deep learning
• Discuss ML API usage on unstructured data
• Execute BigQuery commands from notebooks
• Create ML models using SQL in BigQuery and no-code Vertex AI AutoML