Smart Analytics, Machine Learning, and AI on Google Cloud
This course instructs on integrating machine learning into data pipelines utilizing BigQuery ML, AutoML, and Vertex AI, emphasizing model development and deployment on Google Cloud.
google cloud,artificial intelligence,ai & machine learning,api
Description for Smart Analytics, Machine Learning, and AI on Google Cloud
Distinguish between Machine Learning, Artificial Intelligence, and Deep Learning.: Comprehend the distinctions of machine learning, artificial intelligence, and deep learning, along with their applications across many fields.
Utilization of Machine Learning APIs on Unstructured Data: Acquire proficiency in utilizing machine learning APIs to process and analyze unstructured data for insights.
Integration of BigQuery and Notebooks: Execute BigQuery commands straight from notebooks to manipulate extensive datasets and utilize cloud-based machine learning.
Developing Machine Learning Models using BigQuery ML and Vertex AI AutoML: Acquire the skills to develop machine learning models utilizing SQL syntax in BigQuery and employ Vertex AI AutoML for streamlined model construction without scripting.
Level: Intermediate
Certification Degree: Yes
Languages the Course is Available: 1
Offered by: On Coursera provided by Google Cloud
Duration: 6 hours (approximately)
Schedule: Flexible
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