Ai & Machine Learning

Smart Analytics, Machine Learning, and AI on Google Cloud

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Coursera

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.

Key AI Functions: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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