Incorporating machine learning into data pipelines increases the ability of businesses to extract insights from their data. This course covers several ways machine learning can be included in data pipelines on Google Cloud Platform depending on the level of customization required. For little to no customization, this course covers AutoML. For more tailored machine learning capabilities, this course introduces AI Platform Notebooks and BigQuery Machine Learning. Also, this course covers how to productionalize machine learning solutions using Kubeflow. Learners will get hands-on experience building machine learning models on Google Cloud Platform using QwikLabs.
Offert par
Google CloudÀ propos de ce cours
108,426 consultations récentes
Certificat partageable
Obtenez un Certificat lorsque vous terminez
100 % en ligne
Commencez dès maintenant et apprenez aux horaires qui vous conviennent.
Dates limites flexibles
Réinitialisez les dates limites selon votre disponibilité.
Niveau intermédiaire
Approx. 8 heures pour terminer
Anglais
Sous-titres : Anglais, Espagnol
Certificat partageable
Obtenez un Certificat lorsque vous terminez
100 % en ligne
Commencez dès maintenant et apprenez aux horaires qui vous conviennent.
Dates limites flexibles
Réinitialisez les dates limites selon votre disponibilité.
Niveau intermédiaire
Approx. 8 heures pour terminer
Anglais
Sous-titres : Anglais, Espagnol
Offert par
Google Cloud
We help millions of organizations empower their employees, serve their customers, and build what’s next for their businesses with innovative technology created in—and for—the cloud. Our products are engineered for security, reliability, and scalability, running the full stack from infrastructure to applications to devices and hardware. Our teams are dedicated to helping customers apply our technologies to create success.
Programme du cours : ce que vous apprendrez dans ce cours
6 minutes pour terminer
Introduction
This module introduces the course and agenda
6 minutes pour terminer
2 vidéos (Total 6 min)
1 heure pour terminer
Introduction to Analytics and AI
This modules talks about ML options on GCP
1 heure pour terminer
4 vidéos (Total 18 min)
4 vidéos
What is ML?8 min
Machine Learning and AI3 min
ML options on Google Cloud Platform1 min
Game: Reviewing key ML concepts5 min
1 exercice pour s'entraîner
Introduction to Analytics and AI30 min
1 heure pour terminer
Prebuilt ML model APIs for Unstructured Data
This module focuses on using pre-built ML APIs on your unstructured data
1 heure pour terminer
3 vidéos (Total 9 min)
3 vidéos
ML APIs for Enriching Data4 min
Lab Intro: Using the Natural Language API to Classify Unstructured Text47s
1 exercice pour s'entraîner
Prebuilt ML model APIs for Unstructured Data4 min
2 heures pour terminer
Big Data Analytics with Cloud AI Platform Notebooks
This module covers how to use AI Platform Notebooks
2 heures pour terminer
3 vidéos (Total 7 min)
3 vidéos
What’s a Notebook4 min
BigQuery Magic and Ties to Pandas1 min
Lab Intro: BigQuery in Jupyter Labs on AI Platform28s
1 exercice pour s'entraîner
Big Data Analytics with Cloud AI Platform Notebooks30 min
1 heure pour terminer
Productionizing Custom ML Models
This module covers building custom ML models and introduces Kubeflow and AI Hub
1 heure pour terminer
6 vidéos (Total 14 min)
6 vidéos
Ways to do custom ML on GCP5 min
Kubeflow4 min
AI Hub1 min
Lab Intro: Running AI models on Kubeflow11s
Summary23s
1 exercice pour s'entraîner
Productionizing Custom ML Models4 min
2 heures pour terminer
Custom Model building with SQL in BigQuery ML
This module covers BigQuery ML
2 heures pour terminer
6 vidéos (Total 15 min)
6 vidéos
Classification, Regregression, and Recommender Models5 min
Unsupervised ML with Clustering Models2 min
Lab Intro: Predict Bike Trip Duration with a Regression Model in BQML19s
Lab Intro: Movie Recommendations in BigQuery ML16s
Summary15s
1 exercice pour s'entraîner
Custom Model building with SQL in BigQuery ML4 min
1 heure pour terminer
Custom Model Building with Cloud AutoML
This module introduces Cloud AutoML to build powerful models without coding
1 heure pour terminer
4 vidéos (Total 26 min)
1 exercice pour s'entraîner
Custom Model Building with Cloud AutoML4 min
3 minutes pour terminer
Summary
This module recaps the topics covered in the course
3 minutes pour terminer
1 vidéo (Total 3 min)
1 vidéo
Course Summary3 min
Avis
Meilleurs avis pour SMART ANALYTICS, MACHINE LEARNING, AND AI ON GCP
par PR23 janv. 2020
I couldn't complete the Kubeflow lab due to issues that I encountered setting it up. Overall, the course has given me a good understanding of Machine Learning model creation options available on GCP
par HM11 mai 2020
It was a good decision to do this course as i learn and practiced lot in GCP. Thank you the team for amazing support guidance and instructions. Course content and material was appreciated. Thanks.
par MB15 mai 2020
Very good ML course to introduce students with Google Cloud machine learning capabilities. Maybe there should be a lab for AutoML (after video lessons), as it exists on Qwiklab platform.
par MA11 mai 2020
Content was fun and exciting but some exercises/graded labs inside this course are very unclear with the instructions and also took a long time to finish (model training).
Foire Aux Questions
Can I preview a course before enrolling?
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.
When will I have access to the lectures and assignments?
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.
What will I get when I enroll?
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.
When will I receive my Course Certificate?
If you complete the course successfully, your electronic Course Certificate will be added to your Accomplishments page - from there, you can print your Course Certificate or add it to your LinkedIn profile.
Why can’t I audit this course?
This course is one of a few offered on Coursera that are currently available only to learners who have paid or received financial aid, when available.
What is the refund policy?
If you subscribed, you get a 7-day free trial during which you can cancel at no penalty. After that, we don’t give refunds, but you can cancel your subscription at any time. See our full refund policy.
D'autres questions ? Visitez le Centre d'Aide pour les Etudiants.
© 2020 Coursera Inc. Tous droits réservés.
