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Machine Learning in the Enterprise - Italiano

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Machine Learning in the Enterprise - Italiano

Instructor: Google Cloud Training

Included with

Learn more

10 modules

Gain insight into a topic and learn the fundamentals.

Intermediate level

Some related experience required

2 weeks to complete

at 10 hours a week

Flexible schedule

Learn at your own pace

10 modules

Gain insight into a topic and learn the fundamentals.

Intermediate level

Some related experience required

2 weeks to complete

at 10 hours a week

Flexible schedule

Learn at your own pace

What you'll learn

Descrivere le opzioni di gestione, governance e pre-elaborazione dei dati.
Identificare quando utilizzare Vertex AutoML, BigQuery ML e l'addestramento personalizzato.
Implementare l'ottimizzazione degli iperparametri mediante Vertex Vizier.
Spiegare come creare previsioni batch e online, configurare il monitoraggio del modello e creare pipeline con Vertex AI.

Skills you'll gain

Tools you'll learn

Details to know

Shareable certificate

Add to your LinkedIn profile

Assessments

6 assignments

Taught in Italian

See how employees at top companies are mastering in-demand skills

Learn more about Coursera for Business

logos of Petrobras, TATA, Danone, Capgemini, P&G and L'Oreal

There are 10 modules in this course

Questo corso adotta un approccio pratico reale al flusso di lavoro ML attraverso un case study. Un team ML è chiamato a rispondere a numerosi requisiti aziendali e ad affrontare vari casi d'uso ML. Deve comprendere gli strumenti necessari per la gestione e la governance dei dati e considerare l'approccio migliore per la pre-elaborazione dei dati.

Questo modulo fornisce una panoramica del corso e dei suoi obiettivi.

What's included

1 video

Questo modulo descrive il flusso di lavoro aziendale ML e lo scopo di ogni passaggio.

What's included

2 videos1 reading1 assignment

Questo modulo esamina gli strumenti di gestione e governance dei dati aziendali di Google: Feature Store, Data Catalog, Dataplex e Analytics Hub.

What's included

9 videos1 reading1 assignment1 app item

9 videosTotal 34 minutes

Introduzione0 minutes
Feature Store7 minutes
Data Catalog3 minutes
Dataplex5 minutes
Analytics Hub4 minutes
Opzioni di pre-elaborazione dei dati3 minutes
Dataprep6 minutes
Introduzione al lab: Esplorazione e creazione di una pipeline di analisi per l'e-commerce con Dataprep0 minutes
Coursera: Introduzione a Google Cloud e Qwiklabs5 minutes

1 readingTotal 10 minutes

Risorse: Dati in azienda10 minutes

1 assignmentTotal 10 minutes

Quiz: Dati in azienda10 minutes

1 app itemTotal 90 minutes

Lab: Esplorazione e creazione di una pipeline di analisi per l'e-commerce con Cloud Dataprep90 minutes

Questo modulo esamina l'arte e la scienza del machine learning e delle reti neurali. Illustra inoltre come addestrare modelli ML personalizzati con Vertex AI.

What's included

7 videos2 readings1 assignment1 app item

7 videosTotal 35 minutes

Introduzione0 minutes
Arte e scienza del machine learning7 minutes
Velocizzare l'addestramento8 minutes
Quando utilizzare l'addestramento personalizzato5 minutes
Requisiti e dipendenze di addestramento (parte 1)9 minutes
Requisiti e dipendenze di addestramento (parte 2)4 minutes
Addestramento di modelli ML personalizzati con Vertex AI2 minutes

2 readingsTotal 20 minutes

Risorse: Scienza del machine learning e addestramento personalizzato10 minutes
Risorse: Scienza del machine learning10 minutes

1 assignmentTotal 12 minutes

Quiz: Scienza del machine learning e addestramento personalizzato12 minutes

1 app itemTotal 90 minutes

Vertex AI Pipelines: Qwik Start90 minutes

Questo modulo illustra come ottimizzare gli iperparametri utilizzando Vertex AI Vizier.

What's included

3 videos1 reading1 assignment1 app item

3 videosTotal 17 minutes

Introduzione0 minutes
Ottimizzazione degli iperparametri mediante Vertex AI Vizier17 minutes
Introduzione al lab: Vertex AI: Ottimizzazione degli iperparametri0 minutes

1 readingTotal 10 minutes

Risorse: Ottimizzazione degli iperparametri mediante Vertex Vizier10 minutes

1 assignmentTotal 10 minutes

Quiz: Ottimizzazione degli iperparametri mediante Vertex Vizier10 minutes

1 app itemTotal 150 minutes

Lab: Vertex AI: Ottimizzazione degli iperparametri150 minutes

Questo modulo illustra la previsione e il monitoraggio dei modelli di Vertex AI. Innanzitutto, esamineremo le previsioni batch e online utilizzando container predefiniti e personalizzati, quindi passeremo al monitoraggio dei modelli, che è un servizio che aiuta a gestire le prestazioni dei modelli ML.

What's included

4 videos1 reading1 assignment1 app item

4 videosTotal 16 minutes

Introduzione1 minute
Previsioni con Vertex AI7 minutes
Gestione dei modelli con Vertex AI8 minutes
Introduzione al lab: Monitoraggio dei modelli Vertex AI0 minutes

1 readingTotal 10 minutes

Risorse: Previsione e monitoraggio dei modelli con Vertex AI10 minutes

1 assignmentTotal 12 minutes

Quiz: Previsione e monitoraggio dei modelli con Vertex AI12 minutes

1 app itemTotal 150 minutes

Lab: Monitoraggio dei modelli Vertex AI150 minutes

Questo modulo illustra le pipeline Vertex AI e come crearle per orchestrare un flusso di lavoro ML.

What's included

3 videos2 readings1 assignment2 app items

3 videosTotal 5 minutes

Introduzione0 minutes
Previsioni mediante Vertex AI Pipelines4 minutes
Introduzione al lab: Vertex AI Pipelines1 minute

2 readingsTotal 20 minutes

Introduzione al lab e procedura dettagliata: Vertex AI Pipelines10 minutes
Risorse: Vertex AI Pipelines10 minutes

1 assignmentTotal 8 minutes

Quiz: Vertex AI Pipelines8 minutes

2 app itemsTotal 150 minutes

Lab: Introduzione a Vertex AI Pipelines90 minutes
Lab: Eseguire pipeline su Vertex AI60 minutes

Questo modulo esamina le best practice per diversi processi di machine learning in Vertex AI.

What's included

5 videos1 reading

Questo modulo è un riepilogo del corso Machine Learning in the Enterprise.

What's included

4 readings

Questo modulo è un riepilogo della serie di corsi Machine Learning on Google Cloud.

What's included

1 video1 reading

Instructor

Google Cloud Training

Google Cloud

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Offered by

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.

Machine Learning in the Enterprise - Italiano

Machine Learning in the Enterprise - Italiano

What you'll learn

Skills you'll gain

Tools you'll learn

Details to know

See how employees at top companies are mastering in-demand skills

There are 10 modules in this course

Introduzione

What's included

Comprensione del flusso di lavoro aziendale ML

What's included

Dati in azienda

What's included

Scienza del machine learning e addestramento personalizzato

What's included

Ottimizzazione degli iperparametri mediante Vertex Vizier

What's included

Previsione e monitoraggio dei modelli con Vertex AI

What's included

Vertex AI Pipelines

What's included

Best practice per lo sviluppo ML

What's included

Riepilogo del corso

What's included

Riepilogo della serie

What's included

Instructor

Offered by

Explore more from Cloud Computing

Machine Learning in the Enterprise

Solve Business Problems with AI and Machine Learning

Machine Learning in Production

Data and Machine Learning for Technical Product Managers

Why people choose Coursera for their career

Felipe M.

Jennifer J.

Larry W.

Chaitanya A.

Build essential skills with one of our best deals

Help your team rise higher

Frequently asked questions

Can I preview a course before enrolling?

When will I have access to the lectures and assignments?

What will I get when I enroll?

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