october, 2021
15oct9:00 am4:00 pmGCP Fundamentals - Big Data & Machine Learning
Event Details
This course will introduce you to Google Cloud's big data and machine learning functions. You'll begin with a quick overview of Google Cloud and then dive deeper into its data
more
Event Details
This course will introduce you to Google Cloud’s big data and machine learning functions. You’ll begin with a quick overview of Google Cloud and then dive deeper into its data processing capabilities.
Prerequisites
Objectives
Audience
Course Outline
Module 1: Introduction to Google Cloud
- Identify the different aspects of Google Cloud’s infrastructure.
- Identify the big data and ML products that form Google Cloud.
Module 2: Recommending Products Using Cloud SQL and Spark
- Review how businesses use recommendation models.
- Evaluate how and where you will compute and store your housing rental model results.
- Analyze how running Hadoop in the cloud with Dataproc can enable scale.
- Evaluate different approaches for storing recommendation data off-cluster.
Module 3: Predicting Visitor Purchases Using BigQuery ML
- Analyze big data at scale with BigQuery.
- Learn how BigQuery processes queries and stores data at scale.
- Walkthrough key ML terms: features, labels, training data.
- Evaluate the different types of models for structured datasets.
- Create custom ML models with BigQuery ML.
Module 4: Real-time Dashboards with Pub/Sub, Dataflow, and Google Data Studio
- Identify modern data pipeline challenges and how to solve them at scale with Dataflow.
- Design streaming pipelines with Apache Beam.
- Build collaborative real-time dashboards with Data Studio.
Module 5: Deriving Insights from Unstructured Data Using Machine Learning
- Evaluate how businesses use unstructured ML models and how the models work.
- Choose the right approach for machine learning models between pre-built and custom.
- Create a high-performing custom image classification model with no code using AutoML.
Module 6: Summary
- Recap of key learning points.
- Resources.
Register Here
RegisterTime
(Friday) 9:00 am - 4:00 pm
Location
Online
Organizer
NIH STRIDESSTRIDESTraining@nih.gov