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Google Cloud Big Data and Machine Learning Fundamentals
Gain a thorough understanding of the ideas behind big data analysis and machine learning on the Google Cloud Platform.
Intermediate
Online
2 Weeks
Quick facts
particular | details | |
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Medium of instructions
English
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Mode of learning
Self study
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Mode of Delivery
Video and Text Based
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Course overview
Big data is the enormous amount of data that organizations have access to as a result of its scale and complexity, which makes it difficult for many analytics tools to handle or evaluate. The amount of data acquired, the frequency at which it is made available to an organization for evaluation, and the complexity or variety of that data can all be aided by tools for big data. The Google Cloud Big Data and Machine Learning Fundamentals online certification was created by Google Cloud and is taught by Google Cloud Training, which is provided through Coursera.
Google Cloud Big Data and Machine Learning Fundamentals online classes introduce the learners to the methods associated with big data and machine learning services on Google Cloud and products that enable the data-to-AI lifecycles. The Google Cloud Big Data and Machine Learning Fundamentals online course covers the steps, difficulties, and advantages of establishing a big data infrastructure and machine learning models using functionalities of Vertex AI on Google Cloud as well as the characteristics of tools like Qwiklabs, Apache Beam, AutoML, TensorFlow, BigQuery, and others.
The highlights
- Shareable certificate of completion
- Self-paced course
- 10 hours effort
- 100% online content
- Flexible deadlines
Program offerings
- English video lectures with subtitles
- 100% online content
- Learning resources
- Graded assignments
- Graded quizzes
- Accessible on mobile devices
Course and certificate fees
certificate availability
certificate providing authority
What you will learn
After completing the Google Cloud Big Data and Machine Learning Fundamentals certification course, learners will gain a solid understanding of the core principles and methodologies associated with google cloud and big data for operations like cloud computing, machine learning, big data analytics, and data visualization. Learners will explore functionalities of Qwiklabs, Vertex AI, BigQuery, TensorFlow, Locker, data studio, and AutoML for activities like big data analysis and data visualization. Learners will study strategies associated with data operations like data engineering, data preparation, and data streaming. Learners will also study techniques for model training, model evaluation, model deployment, and model monitoring.
Who it is for
The syllabus
Week 1: Course Introduction
Video
Reading
- Reading list
Week 1: Big Data and Machine Learning on Google Cloud
Video
- Introduction
- 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
Reading
- Reading list
Practice Exercise
- Quiz
Week 1: Data Engineering for Streaming Data
Video
- Introduction
- Big data challenges
- Message-oriented architecture
- Designing streaming pipelines with Apache Beam
- Implementing streaming pipelines on Cloud Dataflow
- Visualization with Looker
- Visualization with Data Studio
- Lab introduction: Creating a streaming data pipeline for a Real-Time dashboard with Dataflow
- Summary
Reading
- Reading list
Practice Exercise
- Quiz
Week 1: Big Data with BigQuery
Videos
- Introduction
- Storage and analytics
- BigQuery demo - San Francisco bike share
- Introduction to BigQuery ML
- Using BigQuery ML to predict customer lifetime value
- BigQuery ML project phases
- BigQuery ML key commands
- Lab introduction: Predicting Visitor Purchases Using BigQuery ML
- Summary
Reading
- Reading list
Practice Exercise
- Quiz
Week 2: Machine Learning Options on Google Cloud
Videos
- Introduction
- Options to build ML models
- Pre-built APIs
- AutoML
- Custom training
- Vertex AI
- AI Solutions
- Summary
Reading
- Reading list
Practice Exercise
- Quiz
week 2: The Machine Learning Workflow with Vertex AI
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
Reading
- Reading list
Practice Exercise
- Quiz
Course Summary
Video
- Course Summary
Articles
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