Google Cloud Platform Big Data & Machine Learning Fundamentals Training
A fundamental overview of Google Cloud’s big data and machine learning tools is given via this program. It teaches learners how to design, develop, and implement machine learning models and data processing systems on Google Cloud by covering key services including BigQuery, Dataflow, Dataproc, and TensorFlow.
- 10+ Courses
- 30+ Projects
- 400 Hours
Target Audience
Google Cloud Platform Big Data & Machine Learning Fundamentals Training is suitable for the following target audiences:
Data engineers: Data engineers are professionals who wish to manage data processing chores in the cloud and provide scalable data solutions.
Data scientists: Data scientists want to create and train models using big datasets by utilizing cloud-based machine learning tools.
IT specialists: IT specialists, also known as cloud architects, are in charge of creating the platforms and infrastructure needed to enable big data and machine learning applications.
Professionals in business intelligence: BI managers and analysts who want to leverage Google Cloud’s data tools for more in-depth analysis and insights.
Developers: Programmers who want to use Google Cloud resources to incorporate machine learning skills into apps.
Job Opportunities in the USA and Canada
Data Engineer: Data engineers use Google Cloud products like BigQuery and Dataflow to design, implement, and manage data pipelines.
Machine Learning Engineer: Using TensorFlow and Vertex AI, create and implement machine learning models on Google Cloud.
Cloud Solutions Architect: Creating Google Cloud architectures for machine learning and big data solutions.
Data Scientist: Analyze and create models using Google Cloud’s machine learning technologies.
Business Intelligence Analyst: Using Google Cloud’s significant data capabilities to extract useful information and inform decisions.
These positions are highly sought after in the USA and Canada in sectors like technology, banking, healthcare, and e-commerce. Professionals with experience in Google Cloud’s big data and machine learning services should anticipate competitive pay and prospects for career progression, as cloud capabilities are essential.
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