Course overview
Want to understand the big data capabilities of the Google Cloud Platform? This one-day course is the first step towards Google machine learning certification.
Jellyfish has been selected by Google to facilitate the delivery of this one-day instructor-led course. All of our trainers are experienced practitioners, so you can learn with total confidence.
Through expert guidance and practical labs, you’ll gain an overview of the Google Cloud Platform and a detailed view of the data processing and machine learning capabilities.
This course showcases the ease, flexibility, and power of big data solutions on Google Cloud Platform.
Campus locations
What you'll learn
Upon completion of this course you’ll walk away with the ability to:
- Identify the purpose and value of the key Big Data and Machine Learning products in the Google Cloud Platform
- Use Cloud SQL and Cloud Dataproc to migrate existing MySQL and Hadoop/Pig/Spark/Hive workloads to Google Cloud Platform
- Employ BigQuery and Cloud Datalab to carry out interactive data analysis
- Train and use a neural network using TensorFlow
- Employ ML APIs
- Choose between different data processing products on the Google Cloud Platform
Recognition
Study method
- In-class
- Blended
- Online
Locations
- England
- London
Duration study load
- 1 day
Entry requirements
To get the most of out of this course, you should have:
- Basic proficiency with common query language such as SQL
- Experience with data modeling, extract, transform, load activities
- Developing applications using a common programming language such as Python
- Familiarity with machine learning and/or statistics
Who's it for?
This course is intended for the following:
- Data analysts, Data scientists, Business analysts getting started with Google Cloud Platform
- Individuals responsible for designing pipelines and architectures for data processing, creating and maintaining machine learning and statistical models, querying datasets, visualising query results and creating reports
- Executives and IT decision-makers evaluating Google Cloud Platform for use by data scientists
Subjects
- Google Platform Fundamentals Overview
- Google Cloud Platform Big Data Products
- CPUs on demand (Compute Engine)
- A global filesystem (Cloud Storage)
- CloudShell
- Lab: Set up a Ingest-Transform-Publish data processing pipeline
- Stepping-stones to the cloud
- Cloud SQL: your SQL database on the cloud
- Lab: Importing data into CloudSQL and running queries
- Spark on Dataproc
- Lab: Machine Learning Recommendations with Spark on Dataproc
- Fast random access
- Datalab
- BigQuery
- Lab: Build machine learning dataset
- Machine Learning with TensorFlow
- Lab: Carry out ML with TensorFlow
- Pre-built models for common needs
- Lab: Employ ML APIs
- Message-oriented architectures with Pub/Sub
- Creating pipelines with Dataflow
- Reference architecture for real-time and batch data processing
- Why GCP?
- Where to go from here
- Additional Resources
About Jellyfish Training
Jellyfish is your digital partner. We support and drive digital transformation by providing the right technology, strategy, and training.
Jellyfish Training offer a range of delivery formats to suit all needs. Groups can be of any size, from private team sessions, multi-day workshops for entire organisations, 1-2-1s or even remote/online training catering for teams in different locations, we will be able to create something to suit.
Why Jellyfish Training?
- Industry recognised courses designed and run by experienced
- Professionals who are practitioners in their field
- Global training offering
- Suitable for groups of any size
- Delivered face-to-face, or online
- Google Cloud training partner
- Google Marketing Platform Certified Partner
- LinkedIn virtual course badge
- Corporate packages available
- Special rates for non-profit organisations
- CPD-approved courses
We look forward to teaching you soon.
