1. Big Data and Machine Learning on Google Cloud
- + Google Cloud infrastructure
- + Compute
- + Storage
- + The history of big data and ML products
- + Big data and ML product categories
- + Customer example
- + Hands-on lab: Exploring a BigQuery public dataset
2. Data Engineering for Streaming Data
- + Examine big data challenges
- + Learn about message-oriented architecture
- + Design and implement streaming pipelines
- + Visualize data with Looker and Data Studio
- + Hands-on lab: Creating a Streaming Data Pipeline for a Real-time Dashboard with Dataflow
3. Big Data with BigQuery
- + Storage and analytics
- + BigQuery demo
- + BigQuery ML
- + BigQuery ML project phases
- + BigQuery ML key commands
- + Hands-on lab: Predicting purchases with BigQuery ML
4. Machine Learning Options on Google Cloud
- + ML options
- + Pre-built APIs
- + AutoML
- + Custom training
- + Vertex AI
- + AI solutions
5. The Machine Learning Workflow with Vertex AI
- + The three stages of the ML workflow
- + Data preparation
- + Model training
- + Model evaluation
- + Model serving
- + Hands-on lab: Predicting Loan Risk with AutoM
6. Sumary
- + Recap of key learning points
- + Resources