Introduction to Analytics and AI
This modules talks about ML options on Google Cloud
- Module introduction
- What is AI?
- From ad-hoc data analysis to data-driven decisions
- Options for ML models on Google Cloud
- QUIZ
Prebuilt ML Model APIs for Unstructured Data
This module focuses on using pre-built ML APIs on your unstructured data
- Module introduction
- Unstructured data is hard
- ML APIs for enriching data
- Lab Intro: Using the Natural Language API to Classify Unstructured Text
- required
- LAB: Using the Natural Language API to classify unstructured text: In this lab you’ll learn how to classify text into categories using the Natural Language API
- QUIZ
Big Data Analytics with Notebooks
This module covers how to use Notebooks
- Module introduction
- What’s a Notebook?
- BigQuery magic and ties to Pandas
- Lab Intro: BigQuery in JupyterLab on Vertex AI
- LAB: BigQuery in JupyterLab on Vertex AI 2.5: The purpose of this lab is to show learners how to instantiate a Jupyter notebook running on Google Cloud Platform's AI Platform service.
- QUIZ
Production ML Pipelines
This module covers building custom ML models and introduces Vertex AI and TensorFlow Hub
- Module introduction
- Ways to do ML on Google Cloud
- Vertex AI Pipelines
- TensorFlow Hub
- Lab Intro: Running Pipelines on Vertex AI
- LAB: Running Pipelines on Vertex AI 2.5: In this lab, you learn how to utilize Vertex AI Pipelines to execute a simple Kubeflow Pipeline SDK derived ML Pipeline.
- Summary
- QUIZ
Custom Model Building with SQL in BigQuery ML
This module covers BigQuery ML
- Module introduction
- BigQuery ML for Quick Model Building
- Supported models
- Lab Intro: Predict Bike Trip Duration with a Regression Model in BigQuery ML 1 minute
- LAB: Predict Bike Trip Duration with a Regression Model in BQML 2.5: In this lab you will use the London bicycles dataset to build a regression model in BQML to predict trip duration.
- Lab Intro: Movie Recommendations in BigQuery ML
- LAB: Movie Recommendations in BigQuery ML 2.5: In this lab you'll use the MovieLens dataset to build a collaborative filtering model and use it to make predictions.
- Summary
- QUIZ
Custom Model Building with AutoML
- Module introduction
- Why AutoML?
- AutoML Vision
- AutoML Natural Language Processing
- AutoML Tables
- Summary
- QUIZ
