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CloudLabs
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Course Description
Key Objective
Data analysts, data scientists, and business analysts who are getting started with Google Cloud.
- Individuals responsible for designing pipelines and architectures for data processing, creating and maintaining machine learning and statistical models, querying datasets, visualizing query results, and creating reports.
- Executives and IT decision makers evaluating Google Cloud for use by data scientists.
Schedule
Certification Curriculum
The course includes presentations, demonstrations, and hands-on labs.
Introducing Google Cloud Platform Google Platform Fundamentals Overview.
- Google Cloud Platform Big Data Products.
- Lab: Sign up for Google Cloud Platform.
Compute and Storage Fundamentals CPUs on demand (Compute Engine).
- A global file system (Cloud Storage).
- Cloud Shell.
- Lab: Set up an Ingest-Transform-Publish data processing pipeline.
Data Analytics on the Cloud Stepping stones to the cloud.
- Lab: Importing data into CloudSQL and running queries.
- Spark on Dataproc.
- Lab: Machine Learning Recommendations with Spark on Dataproc.
Scaling Data Analysis Fast random access.
- Datalab.
- BigQuery. Lab:
- Build a Machine Learning Dataset.
Machine Learning Machine Learning with TensorFlow.
- Lab: Carry out ML with TensorFlow.
- Pre-built models for common needs.
- Lab: Employ ML APIs.
Creating pipelines with Dataflow
- Reference architecture for real-time and batch data processing.
Summary
- Why GCP?.
- Where to go from here.
- Additional Resources.
Prerequisites
Big Data & Machine Learning Fundamentals course provides an introduction to Google Cloud capabilities and a deeper dive of the data processing capabilities. This course is recommended for Data and Business Analysts interested in getting started in developing data engineering skills.
Download Brochure
Join Google Cloud Big Data & Machine Learning Fundamentals Training and gain the knowledge and skills needed to land an entry-level job in Data Analytics. A Path to In-Demand Jobs. No Experience Necessary.
Certification Assessment
When you complete all of the courses in the program, you’ll earn a Certificate to share with your professional network as well as unlock access to career support resources to help you kickstart your new career. Many Professional Certificates have hiring partners that recognize the Professional Certificate credential and others can help prepare you for a certification exam. You can find more information on individual Professional Certificate pages where it applies.
- High Success rate
- Join Our Dynamic Community
- Training from Recognized Trainer
- Post-workshop support by the Coaches
Testimonials
Our clients praise us for our great results, personable service, expert knowledge, and on-time delivery. Here are what just a few of them had to say:
Training FAQ's
This is in-person training.
One of the most exciting parts of being a data analyst is the number of opportunities available. Nearly every company has the ability to collect data, and the amount of data is growing larger and larger.
Organizations of all kinds, in industries as varied as entertainment, finance, health care, tech, and more, need data analysts to help them improve their processes and launch new products.
This course is recommended for Data and Business Analysts interested in getting started in developing data engineering skills.
This course provides an introduction to Google Cloud capabilities and a deeper dive of the data processing capabilities.
One of the most exciting parts of being a data analyst is the number of opportunities available. Nearly every company has the ability to collect data, and the amount of data is growing larger and larger.
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