The "Google Cloud Big Data and Machine Learning Fundamentals" course is designed to introduce participants to the powerful tools and services offered by Google Cloud for big data and machine learning applications. This course provides a comprehensive foundation in key concepts and practical skills needed to effectively leverage Google Cloud's robust platform for data-driven decision-making and advanced analytics.
Career Role
- All Technical Professionals
What's in it for you?
- Identify the data-to-AI lifecycle on Google Cloud and the major products of big data and machine learning.
- Design streaming pipelines with Dataflow and Pub/Sub.
- Analyze big data at scale with BigQuery.
- Identify different options to build machine learning solutions on Google Cloud.
- Describe a machine learning workflow and the key steps with Vertex AI.
- Build a machine learning pipeline using AutoML.
Who should enroll?
- Data Analysts
- Data Engineers
- Data Scientists
- ML Engineers who are getting started with Google Cloud
Prerequisites
None
Course Outline
Big Data and Machine Learning on Google Cloud
- Lesson: Introduction
- Lesson: Google Clouds infrastructure
- Lesson: Compute
- Lesson: Storage
- Lesson: The history of big data and machine learning products
- Lesson: Big data and ML product categories
- Lesson: Customer example: Gojek
- Lab: Exploring a BigQuery Public Dataset
Data Engineering for Streaming Data
- Lesson: Introduction
- Lesson: Big data challenges
- Lesson: Message-oriented architecture
- Lesson: Designing streaming pipelines with Apache Beam
- Lesson: Implementing streaming pipelines on Cloud Dataflow
- Lesson: Visualization with Looker
- Lesson: Visualization with Looker Studio
- Lab: Creating a Streaming Data Pipeline for a RealTime Dashboard with Dataflow
Big Data with BigQuery
- Lesson: Introduction
- Lesson: Storage and analytics
- Lesson: Introduction to BigQuery ML
- Lesson: Using BigQuery ML to predict customer lifetime value
- Lesson: BigQuery ML project phases
- Lesson: BigQuery ML Key commands
- Lesson: Build a custom machine learning model with BigQuery ML
- Lab: Predicting Visitor Purchases Using BigQuery ML
Machine Learning Options on Google Cloud
- Lesson: Introduction
- Lesson: Options to build ML models
- Lesson: Pre-built APIs
- Lesson: AutoML
- Lesson: Custom Training
- Lesson: Vertex AI
- Lesson: AI solutions
The Machine Learning Workflow with Vertex AI
- Lesson: Introduction
- Lesson: Data preparation
- Lesson: Model Training
- Lesson: Model Evaluation
- Lesson: Model deployment and monitoring
- Lab: Vertex AI Predicting Loan Risk with AutoML
Course FAQs
What do I do when I finish this course?
After finishing this course, you can explore additional content in your learning path or browse the catalog.
What badges can I earn?
Upon finishing the required items in a course, you will earn a badge of completion. Badges can be viewed on your profile and shared with your social network.
