En este curso, se muestra cómo usar modelos de IA/AA para tareas de IA generativa en BigQuery. A través de un caso de uso práctico relacionado con la administración de relaciones con clientes, conocerás el flujo de trabajo para solucionar un problema empresarial con modelos de Gemini. Para facilitar la comprensión, el curso también proporciona orientación paso a paso a través de soluciones de programación utilizando consultas en SQL y notebooks de Python.
What you'll learn
Reconocer las capacidades de IA de BigQuery.
Explicar el flujo de trabajo en el que se usan modelos de IA/AA para realizar tareas predictivas y generativas en BigQuery.
Crear una solución para aprovechar los modelos de Gemini en BigQuery con consultas en SQL.
Crear una solución para aprovechar los modelos de Gemini en BigQuery con notebooks de Python.
Details to know
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September 2024
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There is 1 module in this course
What's included
5 videos1 reading1 assignment2 app items
Instructor
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Google Cloud
Google Cloud
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Frequently asked questions
Yes, you can preview the first video and view the syllabus before you enroll. You must purchase the course to access content not included in the preview.
If you decide to enroll in the course before the session start date, you will have access to all of the lecture videos and readings for the course. You’ll be able to submit assignments once the session starts.
Once you enroll and your session begins, you will have access to all videos and other resources, including reading items and the course discussion forum. You’ll be able to view and submit practice assessments, and complete required graded assignments to earn a grade and a Course Certificate.