Google Cloud Big Data and Machine Learning Fundamentals
This course introduces the Google Cloud big data and machine learning products and services that support the data-to-AI lifecycle. It explores the processes, challenges, and benefits of building a big data pipeline and machine learning models with Vertex AI on Google Cloud.
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- Level Foundation
- المدة 10 ساعات hours
- الطبع بواسطة Google Cloud
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Offered by
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This course introduces the Google Cloud big data and machine learning products and services that support the data-to-AI lifecycle. It explores the processes, challenges, and benefits of building a big data pipeline and machine learning models with Vertex AI on Google Cloud.الوحدات
Welcome to the course
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2
Videos
2
Videos
- Meet the author
- Course introduction
Big Data and Machine Learning on Google Cloud
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10
Videos
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1
Readings
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1
ExternalTool
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1
Assignment
1
Assignment
- Quiz
1
External Tool
- Lab: Exploring a BigQuery Public Dataset
10
Videos
- Introduction
- Google Cloud infrastructure
- Compute
- Storage
- The history of big data and ML products
- Big data and ML product categories
- Customer example: Gojek
- Getting Started with Google Cloud Platform and Qwiklabs
- Lab introduction: Exploring a BigQuery Public Dataset
- Summary
1
Readings
- Reading list
Data Engineering for Streaming Data
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9
Videos
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1
Readings
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1
ExternalTool
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1
Assignment
1
Assignment
- Quiz
1
External Tool
- Lab: Creating a streaming data pipeline for a Real-Time dashboard with Dataflow
9
Videos
- Introduction
- Big data challenges
- Message-oriented architecture
- Designing streaming pipelines with Apache Beam
- Implementing streaming pipelines on Cloud Dataflow
- Visualization with Looker
- Visualization with Looker Studio
- Lab introduction: Creating a streaming data pipeline for a Real-Time dashboard with Dataflow
- Summary
1
Readings
- Reading list
Big Data with BigQuery
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9
Videos
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1
Readings
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1
ExternalTool
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1
Assignment
1
Assignment
- Quiz
1
External Tool
- Lab: Predict Visitor Purchases with BigQuery ML
9
Videos
- Introduction
- Storage and analytics
- Demo: Querying TB of data in seconds
- Introduction to BigQuery ML
- Using BigQuery ML to predict customer lifetime value
- BigQuery ML project phases
- BigQuery ML key commands
- Lab introduction: Predict Visitor Purchases with BigQuery ML
- Summary
1
Readings
- Reading list
Machine Learning Options on Google Cloud
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8
Videos
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1
Readings
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1
Assignment
1
Assignment
- Quiz
8
Videos
- Introduction
- Options to build ML models
- Pre-built APIs
- AutoML
- Custom training
- Vertex AI
- AI Solutions
- Summary
1
Readings
- Reading list
The Machine Learning Workflow with Vertex AI
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8
Videos
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1
Readings
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1
ExternalTool
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1
Assignment
1
Assignment
- Quiz
1
External Tool
- Lab: Predicting loan risk with AutoML
8
Videos
- Introduction
- Data preparation
- Model training
- Model evaluation
- Model deployment and monitoring
- Lab introduction: Predicting loan risk with AutoML
- Lab recap: Predicting loan risk with AutoML
- Summary
1
Readings
- Reading list
Summary
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1
Videos
1
Videos
- Course summary
Auto Summary
Discover the essentials of big data and machine learning with the "Google Cloud Big Data and Machine Learning Fundamentals" course, perfect for those venturing into the realms of Data Science and AI. Offered by Coursera and designed for beginners, this foundational course delves into Google Cloud's advanced products and services that facilitate the data-to-AI journey. Under the expert guidance of seasoned instructors, learners will navigate through the intricacies of constructing big data pipelines and developing machine learning models using Vertex AI on Google Cloud. The course spans approximately 600 minutes and is accessible through various subscription options, including Starter, Professional, and Paid plans. Ideal for aspiring data scientists and AI enthusiasts looking to build a solid foundation in big data and machine learning technologies.
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