Course information

Big Data and Machine Learning with Google Cloud Platform Course Outline

Module 1: Introduction to Google Cloud Platform

  • Google Platform Fundamentals Overview
  • Google Cloud Platform Big Data Products

Module 2: Compute and Storage Fundamentals

  • CPUs on Demand (Compute Engine)
  • Global Filesystem (Cloud Storage)
  • CloudShell
  • Lab: Set Up an Ingest Transform Publish Data Processing Pipeline

Module 3: Data Governance and Security

  • Importance of Data Governance
  • Data Security Best Practices
  • Compliance and Regulatory Considerations
  • Data Encryption and Access Controls
  • Monitoring and Auditing Data Access
  • Lab: Implementing Data Governance and Security

Module 4: Data Analytics on the Cloud

  • 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

Module 5: Scaling Data Analysis

  • Fast Random Access
  • Datalab
  • BigQuery
  • Lab: Build a Machine Learning Dataset

Module 6: Machine Learning

  • Machine Learning with TensorFlow
  • Lab: Carry out ML with TensorFlow
  • Pre-built Models for Common Needs
  • Lab: Employ ML APIs

Module 7: Data Processing Architectures

  • Message-Oriented Architectures with Pub/Sub
  • Creating Pipelines with Dataflow
  • Reference Architecture for Real-Time and Batch Data Processing

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Who should attend this Big Data and Machine Learning with Google Cloud Platform Course?

The Big Data and Machine Learning with Google Cloud Platform Course in Seattle is designed for those who want to get better at implementing Machine Learning and Big Data concepts through the Google Cloud Platform. The Big Data and Machine Learning with Google Cloud Platform Course can benefit the following professionals:

  • Data Engineers
  • Data Scientists
  • Data Analysts
  • Business Analysts
  • Solution Architects
  • System Engineers
  • Database Administrators

Prerequisites of the Big Data and Machine Learning with Google Cloud Platform Course

There are no formal prerequisites for this Big Data and Machine Learning with Google Cloud Platform Course.

Big Data and Machine Learning with Google Cloud Platform Course Overview

Google Cloud Training in Seattle in Big Data and Machine Learning addresses the intersection of data analytics and AI pivotal. As organizations harness data's exponential growth, this course delves into leveraging Google Cloud's robust infrastructure, facilitating comprehensive insights and predictions. This training's relevance lies in empowering professionals to efficiently navigate and harness the potential within vast datasets.

Proficiency in Google Cloud Certifications in Seattle is paramount for data scientists, analysts, developers, and IT professionals aiming to master cutting-edge data management and machine learning techniques. Mastery of this subject empowers individuals to streamline data processing, extract meaningful patterns, and construct predictive models, pivotal for advancing businesses across diverse industries.

This intensive 1-day training course in Seattle empowers delegates with practical skills essential for Big Data management and Machine Learning implementation using Google Cloud's suite of tools. Delegates gain hands-on experience in leveraging Google Cloud Platform's advanced features, enabling them to harness data effectively, perform insightful analytics, and deploy machine learning models efficiently.

Course Objectives

  • To comprehend the fundamentals of Big Data management using the Google Cloud Platform
  • To explore various tools and services within Google Cloud for data processing and analysis
  • To construct machine learning models using Google Cloud's specialized frameworks
  • To implement effective strategies for handling and optimizing large datasets
  • To leverage Google Cloud's capabilities in deploying scalable and efficient machine learning solutions
  • To understand the integration of Big Data and Machine Learning for business intelligence
  • To gain practical experience through hands-on exercises and case studies
  • To prepare for exams related to Big Data and Machine Learning

After completing this course in Seattle, delegates receive a certification validating their Big Data management and Machine Learning proficiency using the Google Cloud Platform. This certification enhances professional credentials, showcasing expertise leveraging Google Cloud's suite for data-driven insights and machine learning advancements.

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What’s included in this Big Data and Machine Learning with Google Cloud Platform Course?

  • World-Class Training Sessions from Experienced Instructors
  • Big Data and Machine Learning with Google Cloud Platform Certificate
  • Digital Delegate Pack

Why choose us

Our Seattle venue

Includes..

Free Wi-Fi

To make sure you’re always connected we offer completely free and easy to access wi-fi.

Air conditioned

To keep you comfortable during your course we offer a fully air conditioned environment.

Full IT support

IT support is on hand to sort out any unforseen issues that may arise.

Video equipment

This location has full video conferencing equipment.

Seattle is a West Coast city in America. Seattle has around 667,000 residents and is the largest city in the state of Washington and in the Pacific Northwest region of North America. The metropolitan area of Seattle has around 3.6 million residents. Seattle had a notable music scene between the 20’s and 50’s producing early careers for Ray Charles and Quincy Jones. Seattle is home to the University of Washington which was established in 1861. The University of Washington is a public research university and features one of the most notable medical schools in the world. The University of Washington has around 45,000 students and offers 140 departments with studies in courses such as; Arts and Science, Dentistry, Education, Engineering, Law, Medicine, Nursing, Pharmacy and Public Health. The University has a large sports department, and offers scholarships and opportunities in sports such as; Football, Soccer, Basketball, Softball and Rowing which is a long standing traditional at the University. The University of Washington Educational Outreach is another institute located in Seattle. The University was established in 1912. The University offers various different programs, classes and workshops in studies such as communication, English, Humanities, Social Sciences, Health Informatics and Health Information Management. Seattle is also the home to a number of smaller universities including Seattle University is a catholic university in Seattle that was established in 1891. Seattle University has over 7,500 students and offers courses in Business & Economics, Arts & Sciences, Humanities, Teaching, Nursing, Engineering, Theology and Law. Seattle Pacific University is another University situated in Seattle. This University was established in 1913 and is a Christian University. The Seattle Pacific University has around 4,000 students in attendance. The University offers courses in Fine Arts, Humanities, Science, Engineering, Social & Behavioural Sciences, Business, Education, Health, Psychology and Theology. Some notable alumni attended Seattle Pacific University like David T. Wong who was the co-inventor of Prozac and Dan Price who is the CEO of Gravity Payments. 

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Address

Silver Cloud Inn Lake Union
1150 Fairview Ave North
Seattle
Washington
98109

T: +1 7204454674

Ways to take this course

Experience live, interactive learning from home with The Knowledge Academy's Online Instructor-led Big Data And Machine Learning With Google Cloud Platform in Seattle. Engage directly with expert instructors, mirroring the classroom schedule for a comprehensive learning journey. Enjoy the convenience of virtual learning without compromising on the quality of interaction.

Unlock your potential with The Knowledge Academy's Big Data And Machine Learning With Google Cloud Platform in Seattle, accessible anytime, anywhere on any device. Enjoy 90 days of online course access, extendable upon request, and benefit from the support of our expert trainers. Elevate your skills at your own pace with our Online Self-paced sessions.

Streamline large-scale training requirements with The Knowledge Academy's In-house/Onsite at your business premises. Experience expert-led classroom learning from the comfort of your workplace and engage professional development.

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Tailored learning experience

Leverage benefits offered from a certification that fits your unique business or project needs

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Maximise your training budget

Cut unnecessary costs and focus your entire budget on what really matters, the training.

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Team building opportunity

Our offers a unique chance for your team to bond and engage in discussions, enriching the learning experience beyond traditional classroom settings

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Monitor employees progress

The course know-how will help you track and evaluate your employees' progression and performance with relative ease

What our customers are saying

Big Data And Machine Learning With Google Cloud Platform in Seattle FAQs

This training course by Google Cloud Platform covers essential concepts and tools for managing and analysing large datasets, as well as implementing Machine Learning models on Google Cloud infrastructure.
This course distinguishes itself through its comprehensive coverage of Google Cloud services, focusing on practical applications and real-world scenarios. It offers hands-on labs, expert instruction, and up-to-date content, ensuring proficiency in cloud computing with Google's tools and platforms.
This course covers essential concepts, tools, and techniques for utilising Google Cloud Platform's Big Data and Machine Learning services. It equips learners with foundational skills for data analysis and modelling on Google Cloud.
Yes, this course is high in demand as companies increasingly rely on data-driven insights and Machine Learning models for decision-making, innovation, and competitive advantage in various industries.
Industries such as healthcare, finance, retail, manufacturing, and telecommunications require Google Cloud Platform Big Data and Machine Learning Fundamentals for advanced analytics, personalised customer experiences, fraud detection, operational efficiency, and predictive maintenance, enhancing decision-making and innovation.
To prepare for this training, familiarise yourself with basic concepts in data processing, Machine Learning, and cloud computing. Practice using Google Cloud Platform services and review relevant documentation and tutorials.
Taking this course offers insights into data processing, analysis, and Machine Learning on Google Cloud Platform, empowering users to leverage scalable solutions for efficient data management and advanced analytics, fostering innovation and competitive advantage.
After completing this training, career opportunities include roles such as Data Engineer, Machine Learning Engineer, Cloud Architect, Data Scientist, and Solutions Architect in various industries focusing on data analytics and AI.
This course is ideal for IT professionals, Data Scientists, Analysts, and Engineers seeking to enhance their skills in cloud-based Big Data and Machine Learning, as well as those looking to implement and manage these technologies in their organisations.
There are no formal prerequisites for this Big Data and Machine Learning with Google Cloud Platform Training.
Necessary skills for pursuing this course include basic knowledge of programming, familiarity with data analysis, understanding of cloud computing principles, and a grasp of Machine Learning concepts and algorithms.
This course enhances your career by providing essential skills in Google Cloud Big Data and Machine Learning, making you proficient in data analysis, Machine Learning model deployment, and cloud computing, thereby increasing your job prospects and earning potential.
To register for this course, visit The Knowledge Academy's website, navigate to the course page, select your preferred date, and complete the registration form. Contact customer support for assistance.
In this course, you'll learn to use Google Cloud for data processing, exploration, and visualisation, build data pipelines, perform Machine Learning tasks, and deploy scalable and efficient data solutions.
In this training course, delegates will have intensive training with our experienced instructors, a digital delegate pack consisting of important notes related to this course, and a certificate after course completion.
The course covers topics including Google Cloud Platform, data engineering, BigQuery, dataflow processing, AI platform, data analytics, Machine Learning models, data pipelines, data visualisation, and real-time data processing.
No, you don't need to install any software before starting this course. The course provides access to Google Cloud Platform resources, and all exercises are performed using the cloud environment.
In this training, you'll learn about tools such as Google BigQuery for data analysis, Dataflow for stream and batch processing, and Dataproc for managing Hadoop and Spark clusters.
Yes, the course covers Machine Learning model deployment. It includes modules on building, training, and deploying ML models using Vertex AI, with specific content on the deployment and monitoring of models.
This course is a 1-day training course during which delegates participate in intensive learning sessions that cover various course topics.
The course provides resources including hands-on labs, real-world case studies, interactive lectures, detailed course materials, and access to Google Cloud Platform tools, ensuring practical and theoretical knowledge in big data and machine learning.
This course provides comprehensive support including access to expert instructors, hands-on labs, discussion forums, and a dedicated helpdesk to assist with technical issues and course-related queries, ensuring an enriching learning experience.
Yes, the training includes hands-on projects such as building data pipelines, analysing datasets with BigQuery, and developing Machine Learning models using TensorFlow on Google Cloud Platform.
The Knowledge Academy in Seattle stands out as a prestigious training provider known for its extensive course offerings, expert instructors, adaptable learning formats, and industry recognition. It's a dependable option for those seeking this course.
The training fees for Big Data and Machine Learning with Google Cloud Platformin Seattle starts from $2495
The Knowledge Academy is the Leading global training provider for Big Data and Machine Learning with Google Cloud Platform.
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Flexible delivery methods are available depending on your learning style.

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High quality resources

Resources are included for a comprehensive learning experience.

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"Really good course and well organised. Trainer was great with a sense of humour - his experience allowed a free flowing course, structured to help you gain as much information & relevant experience whilst helping prepare you for the exam"

Joshua Davies, Thames Water

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