L'integrazione del machine learning nelle pipeline di dati aumenta la capacità di estrarre insight dai dati. Questo corso illustra i modi in cui il machine learning può essere incluso nelle pipeline di dati su Google Cloud. Per una personalizzazione minima o nulla, il corso tratta di AutoML. Per funzionalità di machine learning più personalizzate, il corso introduce Notebooks e BigQuery Machine Learning (BigQuery ML). Inoltre, il corso spiega come mettere in produzione soluzioni di machine learning utilizzando Vertex AI.
Smart Analytics, Machine Learning, and AI on GCP - Italiano
Give your career the gift of Coursera Plus with $160 off, billed annually. Save today.
Smart Analytics, Machine Learning, and AI on GCP - Italiano
Instructor: Google Cloud Training
Included with 
Gain insight into a topic and learn the fundamentals.
Intermediate level
Some related experience required
6 hours to complete
3 weeks at 2 hours a week
Flexible schedule
Learn at your own pace
What you'll learn
Capire la differenza tra ML, AI e deep learning.
Parlare dell'uso delle API ML su dati non strutturati.
Creare modelli di ML utilizzando la sintassi SQL in BigQuery.
Creare modelli di ML senza programmazione utilizzando AutoML.
Details to know
Shareable certificate
Add to your LinkedIn profile
Recently updated!
August 2024
Assessments
6 assignments
Taught in Italian
See how employees at top companies are mastering in-demand skills
Earn a career certificate
Add this credential to your LinkedIn profile, resume, or CV
Share it on social media and in your performance review
There are 9 modules in this course
In questo modulo presentiamo il corso e il programma.
What's included
1 video
Questo modulo parla delle opzioni ML su Google Cloud.
What's included
4 videos1 assignment
Questo modulo è incentrato sull'utilizzo di API ML predefinite sui dati non strutturati.
What's included
5 videos1 assignment1 app item
Questo modulo spiega come utilizzare Notebooks.
What's included
4 videos1 assignment1 app item
Questo modulo riguarda la creazione di modelli ML personalizzati e introduce Vertex AI e TensorFlow Hub.
What's included
6 videos1 assignment1 app item
Questo modulo riguarda BigQuery ML.
What's included
6 videos1 assignment2 app items
Creazione di modelli personalizzati con Vertex AI AutoML.
What's included
6 videos1 assignment
Questo modulo riassume gli argomenti trattati nel corso.
What's included
1 video
Link dei PDF per tutti i moduli
What's included
1 reading
Instructor
Offered by
Recommended if you're interested in Cloud Computing
Why people choose Coursera for their career
Felipe M.
Learner since 2018
"To be able to take courses at my own pace and rhythm has been an amazing experience. I can learn whenever it fits my schedule and mood."
Jennifer J.
Learner since 2020
"I directly applied the concepts and skills I learned from my courses to an exciting new project at work."
Larry W.
Learner since 2021
"When I need courses on topics that my university doesn't offer, Coursera is one of the best places to go."
Chaitanya A.
"Learning isn't just about being better at your job: it's so much more than that. Coursera allows me to learn without limits."
New to Cloud Computing? Start here.
Open new doors with Coursera Plus
Unlimited access to 7,000+ world-class courses, hands-on projects, and job-ready certificate programs - all included in your subscription
Advance your career with an online degree
Earn a degree from world-class universities - 100% online
Join over 3,400 global companies that choose Coursera for Business
Upskill your employees to excel in the digital economy
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.