- Level Professional
- المدة 7 ساعات hours
- الطبع بواسطة Google Cloud
-
Offered by
عن
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 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 Notebooks and BigQuery machine learning (BigQuery ML). Also, this course covers how to productionalize machine learning solutions using Vertex AI. Learners will get hands-on experience building machine learning models on Google Cloud using QwikLabs.الوحدات
Introduction
1
Videos
- Course Introduction
Analytics and AI
4
Videos
- Module introduction
- What is AI?
- From ad-hoc data analysis to data-driven decisions
- Options for ML models on Google Cloud
Quiz
1
Assignment
- Introduction to Analytics and AI
Prebuilt ML model APIs
3
Videos
- Module introduction
- Unstructured data is hard
- ML APIs for enriching data
Lab
1
External Tool
- Using the Natural Language API to Classify Unstructured Text
2
Videos
- Lab Intro: Using the Natural Language API to Classify Unstructured Text
- Getting Started with Google Cloud and Qwiklabs
Quiz
1
Assignment
- Prebuilt ML model APIs for Unstructured Data
Big Data Analytics with Notebooks
3
Videos
- Module introduction
- What’s a Notebook?
- BigQuery magic and ties to Pandas
Lab
1
External Tool
- BigQuery in JupyterLab on Vertex AI
1
Videos
- Lab Intro: BigQuery in JupyterLab on Vertex AI
Quiz
1
Assignment
- Big Data Analytics with AI Platform Notebooks
Production ML Pipelines
4
Videos
- Module introduction
- Ways to do ML on Google Cloud
- Vertex AI Pipelines
- TensorFlow Hub
Lab
1
External Tool
- Lab: Running Pipelines on Vertex AI
2
Videos
- Lab Intro: Running Pipelines on Vertex AI
- Summary
Quiz
1
Assignment
- Production ML Pipelines
BigQuery ML
3
Videos
- Module introduction
- BigQuery ML for Quick Model Building
- Supported models
Lab
1
External Tool
- Predict Bike Trip Duration with a Regression Model in BigQuery ML
1
Videos
- Lab Intro: Predict Bike Trip Duration with a Regression Model in BigQuery ML
Lab
1
External Tool
- Movie Recommendations in BigQuery ML
2
Videos
- Lab Intro: Movie Recommendations in BigQuery ML
- Summary
Quiz
1
Assignment
- Custom Model building with SQL in BigQuery ML
AutoML
6
Videos
- Module introduction
- Why AutoML?
- AutoML Vision
- AutoML Natural Language Processing
- AutoML Tables
- Summary
Quiz
1
Assignment
- Custom Model Building with AutoML
Course Summary
1
Videos
- Course Summary
Auto Summary
Discover how to integrate machine learning into data pipelines with "Smart Analytics, Machine Learning, and AI on Google Cloud." This professional-level course, led by Coursera, focuses on AutoML, Notebooks, BigQuery ML, and Vertex AI to enhance data insights. Spanning 420 minutes, it offers Starter, Professional, and Paid subscription options, ideal for IT and computer science professionals.

Google Cloud Training