Vertex Forecasting and Time Series in Practice
- Offered byCoursera
Vertex Forecasting and Time Series in Practice at Coursera Overview
Duration | 14 hours |
Total fee | Free |
Mode of learning | Online |
Official Website | Explore Free Course  |
Credential | Certificate |
Vertex Forecasting and Time Series in Practice at Coursera Highlights
- Earn a Certificate upon completion
Flexible deadlines
Coursera Labs
Vertex Forecasting and Time Series in Practice at Coursera Course details
- This course is an introduction to building forecasting solutions with Google Cloud
- Learner start with sequence models and time series foundations
- Learner then walk through an end-to-end workflow: from data preparation to model development and deployment with Vertex AI
- Finally, Learner will learn the lessons and tips from a retail use case and apply the knowledge by building their own forecasting models
Vertex Forecasting and Time Series in Practice at Coursera Curriculum
Introduction
Course Introduction
Reading list
Introduction
Sequence models
Time series patterns
Time series analysis
Forecasting notations
Summary
Reading list
Quiz
Introduction
Forecasting options
Forecasting with BigQuery ML
Vertex AI
Vertex AI Forecast workflow
Summary
Reading list
Quiz
Data preparation
Introduction
Data upload
Feature engineering
Data conversion
Data preparation best practices
Summary
Reading list
Quiz
Introduction
Training setup
Context window and forecast horizon
Optimization objectives
Lab introduction
Coursera: Getting Started with Google Cloud Platform and Qwiklabs
Summary
Reading list
Quiz
Introduction
Training data split
Backtesting
Evaluation metrics
Model improvement
Summary
Reading list
Quiz
Model deployment
Introduction
MLOps with Vertex AI Pipelines
Making predictions
Using predictions
Summary
Reading list
Quiz
Introduction
Model drift
Model retraining
Pipeline automation
Lab introduction
Summary
Reading list
Quiz
Introduction
Use case background
Steps and considerations
Pilot study
Lessons
Lab introduction
Summary
Reading list
Course summary
Reading list
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