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Google Cloud Fundamentals: Big Data and Machine Learning (GCF-BDM)
Course Overview
This one-day instructor-led course introduces participants to the big data capabilities of Google Cloud Platform. Through a combination of presentations, demos, and hands-on labs, participants get 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.
Who should attend
This class 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, visualizing query results and creating reports.
- Executives and IT decision makers evaluating Google Cloud Platform for use by data scientists.
Certifications
This course is part of the following Certifications:
Prerequisites
To get the most of out of this course, participants 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 Python.
- Familiarity with machine learning and/or statistics.
Course Objectives
This course teaches participants the following skills:
- 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.
Course Content
- Module 1: Introducing Google Cloud Platform
- Module 2: Compute and Storage Fundamentals
- Module 3: Data Analytics on the Cloud
- Module 4: Scaling Data Analysis
- Module 5: Machine Learning
- Module 6: Data Processing Architectures
- Module 7: Summary
Online Training
Duration 1 day
Price (excl. tax)
- 650.— €
Courseware language: English
Classroom Training
Duration 1 day
Price (excl. tax)
- Germany: 650.— €
- Switzerland: CHF 850.—
Catering includes:
- Coffee, Tea, Juice, Water, Soft drinks
- Pastry and Sweets
- Fresh fruits
- Lunch in a nearby restaurant
* Catering information only valid for courses delivered by Fast Lane.
Courseware language: English
Schedule
Guaranteed date:
The course is guaranteed to run regardless of the number of participants. This excludes unforeseeable events (e.g. accident, illness of the trainer) which make it impossible to carry out the course.
Instructor-led Online Training:
Course conducted online in a virtual classroom.
FLEX Classroom Training (hybrid course):
Course participation either on-site in the classroom or online from the workplace or from home.
English
Time zone: Central European Summer Time (CEST) ±1 hour
2 hours difference
3 hours difference
4 hours difference
7 hours difference
German
Time zone: Central European Summer Time (CEST) ±1 hour
Spanish
4 hours difference
6 hours difference
7 hours difference
Italian
Time zone: Central European Summer Time (CEST) ±1 hour
Portuguese
3 hours difference
FLEX Classroom Training (hybrid course):
Course participation either on-site in the classroom or online from the workplace or from home.
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