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 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 Training Course.

Big Data and Machine Learning with Google Cloud Platform Course Overview

Big Data and Machine Learning with Google Cloud Platform is a comprehensive course that introduces delegates to the powerful capabilities of Google Cloud Platform in handling Big Data and Machine Learning. In today's data-driven world, this subject is of utmost relevance, offering professionals the tools and knowledge they need to leverage Google Cloud's extensive resources effectively.

Professionals across various industries, particularly those in Data Analysis, Machine Learning, and Cloud Computing, should aim at mastering this course. It equips delegates with the tools and knowledge to navigate Google Cloud's comprehensive suite of Big Data and Machine Learning services, enabling the processing, analysis, and interpretation of complex datasets with efficiency and precision.

This 1-day Big Data and Machine Learning with Google Cloud Platform Course delivered by the Knowledge Academy equips delegates with the practical skills and insights required to excel in the world of Big Data and Machine Learning with Google Cloud Platform. Delegates will gain hands-on experience in data processing, Machine Learning, and the creation of data processing architectures.

Course Objectives

  • To provide an understanding of Google Cloud Platform's Big Data and Machine Learning capabilities
  • To familiarise delegates with Google Cloud's data processing products and how to compute and store data effectively
  • To teach delegates how to set up data processing pipelines for ingesting, transforming, and publishing data
  • To enable delegates to import data into cloud SQL, run queries, and make machine learning recommendations using Spark on Dataproc
  • To instruct delegates on fast random access, Datalab, and BigQuery for efficient data handling
  • To empower delegates to create machine learning datasets and implement machine learning models using TensorFlow

After completing this course, delegates will gain a competitive edge in their careers, equipped with practical skills in Big Data and Machine Learning with Google Cloud Platform, making them valuable assets to their organisations. Additionally, they will be well-prepared to pursue Google Cloud Certifications, further advancing their professional development and increasing their job prospects in the data and Machine Learning field.

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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 Christchurch 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.

Christchurch is the largest city in the south island of New Zealand and has a population of around 350,000. Christchurch has several educational institutes including primary, secondary, college and Universities. Christchurch is home to Burnside High School which is the fourth largest school in New Zealand, and houses over 2,500 students. Cashmere High School is also another large secondary school. Another secondary school of similar size is Papanui High School. Christchurch is very well known for its traditional schools, for example, St Thomas of Canterbury College and St Andrew’s College. Christchurch has a number of Universities and Institutes located in or around the city. The University of Canterbury is New Zealand’s second oldest University. The University was founded in 1873 and became the second institution in New Zealand to offer tertiary level education. The University of Canterbury offers degrees in various departments such as, Social Work, Fine Arts, Education and Sports Coaching. The University currently has around 14,900 students in attendance, with 10,000 undergraduates and 2000 post graduates. Another institute located in Christchurch is the Christchurch Polytechnic Institute of Technology which provides students with full and part time education in technologies and trade. Christchurch Polytechnic Institute of Technology is the largest institute on the island to offer Applied Sciences. The University has around 25,000 full and part time students in attendance. The University offers degrees in departments such as: Music Arts, Nursing, Applied Science and Information Technology. The University Of Otago Christchurch School Of Medicine is also located in Christchurch and is one of three schools that make up the University of Otago and is primarily based at Christchurch Hospital. The University of Otago Christchurch School Of Medicine was established in 1924 and became a clinical school in 1973. The school is linked with the University Of Otago Dunedin School Of Medicine, where students can choose to study their final year there.

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Address

Pavilions Hotel Church
42 Papanui Rd
Merivale
Christchurch
8014

T: +64 98874342

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 Christchurch. 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 Christchurch, 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.

Experience the most sought-after learning style with The Knowledge Academy's Big Data And Machine Learning With Google Cloud Platform in Christchurch. Available in 490+ locations across 190+ countries, our hand-picked Classroom venues offer an invaluable human touch. Immerse yourself in a comprehensive, interactive experience with our expert-led Big Data And Machine Learning With Google Cloud Platform in Christchurch sessions.

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Highly experienced trainers

Boost your skills with our expert trainers, boasting 10+ years of real-world experience, ensuring an engaging and informative training experience

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State of the art training venues

We only use the highest standard of learning facilities to make sure your experience is as comfortable and distraction-free as possible

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Small class sizes

Our Classroom courses with limited class sizes foster discussions and provide a personalised, interactive learning environment

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Great value for money

Achieve certification without breaking the bank. Find a lower price elsewhere? We'll match it to guarantee you the best value

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 Christchurch 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 Christchurch 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 Christchurch starts from NZD4095
The Knowledge Academy is the Leading global training provider for Big Data and Machine Learning with Google Cloud Platform.
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Why choose us

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Best price in the industry

You won't find better value in the marketplace. If you do find a lower price, we will beat it.

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Many delivery methods

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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