Raw data to forecasting in seconds with AI agents | Google Codelabs
Executive Summary
This codelab explores using AI agents to rapidly forecast from raw data. It focuses on leveraging large language models and other AI tools to automate and accelerate the forecasting process, enabling quick insights from data for various applications. The content is geared towards developers and data scientists interested in applying AI to time series analysis and prediction.
Interactive Lab
This codelab explores using AI agents to rapidly forecast from raw data. It focuses on leveraging large language models and other AI tools to automate and accelerate the forecasting process, enabling quick insights from data for various applications. The content is geared towards developers and data scientists interested in applying AI to time series analysis and prediction.
Launch Codelab —>Technical Breakdown
| Category | Technology | Experience | Resources |
|---|---|---|---|
| AI | Large Language Models | 3 / 5 |
Documentation |
| Data Analysis | Time Series Analysis | 2 / 5 |
Documentation |
| AI | AI Agents | 3 / 5 |
Documentation |
Learning Objectives
- No specific objectives defined.
Key Learning Points
- No key learning points available.
Core Skills Gained
- General Cloud Proficiency