Learning Options

  • Online Video-Based Learning
  • Flexible Schedule
  • Expert Trainers with Industry Experience
  • High Pass Rates
  • 24/7 Personalised Support
  • Interactive Learning Materials
  • Live Online Classes
  • Expert Trainers with Industry Experience
  • Live Assessment and Feedback
  • Interactive Learning Materials
  • Networking Opportunities
  • High Pass Rates

Overview

The Big Data and Machine Learning with Google Cloud Platform Training course is designed for professionals aiming to master data analysis and machine learning using Google Cloud. This course provides in-depth knowledge of Google Cloud tools, including BigQuery, TensorFlow, and Cloud Dataflow, enabling learners to process, analyse, and derive insights from big data effectively.

As organisations increasingly rely on data to inform decisions, proficiency in Google Cloud’s data processing and machine learning capabilities is essential. This course covers key topics such as data engineering, machine learning workflows, and predictive modelling, empowering learners to optimise data operations and create impactful AI solutions.

This comprehensive 1-day training offered by MPES includes expert-led sessions, hands-on exercises, and real-world case studies. Learners will gain practical experience in leveraging Google Cloud for scalable data processing and deploying machine learning models. Upon completion, participants will be equipped with the skills to manage big data challenges and drive innovation using Google Cloud.

 

Course Objectives

  • Understand the principles of big data processing and machine learning
  • Learn to use Google Cloud tools like BigQuery and TensorFlow effectively
  • Develop scalable data pipelines for analysis and modelling
  • Gain expertise in building and deploying machine learning models on Google Cloud
  • Apply Google Cloud solutions to solve real-world data challenges

Upon completion, learners will have the knowledge and skills to harness the power of Google Cloud for big data and machine learning, driving data-driven decisions and innovation. 

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Average completion time

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Course Includes

Course Details

Develop your understanding of essential financial, business and management accounting techniques with ACCA Applied Knowledge. You'll learn basic business and management principles and the skills required of an accountant working in business.

Entry Requirements

    • Educational Background: A basic understanding of data analysis and machine learning concepts is recommended. 

    • Technical Proficiency: Familiarity with programming languages like Python and SQL will be helpful. 

    • Interest in Data Technologies: Ideal for professionals and learners passionate about mastering big data and AI using Google Cloud. 

Learning Outcomes

    • Master Big Data Tools: Gain expertise in using Google Cloud tools for data processing and analysis. 

    • Build Machine Learning Models: Learn to design, train, and deploy machine learning models on Google Cloud. 

    • Optimise Data Pipelines: Develop skills to create scalable and efficient data pipelines using Google Cloud solutions. 

    • Enhance Decision-Making: Leverage big data insights and machine learning to inform strategic decisions. 

Target Audience

    The Big Data and Machine Learning with Google Cloud Platform Training course is ideal for professionals and learners aiming to specialise in big data and AI using Google Cloud technologies. Below are the individuals who will benefit from this course:

    • Data Analysts
    • Machine Learning Engineers
    • Data Scientists
    • Cloud Engineers
    • Business Intelligence Professionals
    • Software Developers
    • Technology Consultants 

Course content

    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 

MPES Support That Helps You Succeed

At MPES, we offer comprehensive support to help you succeed in your studies. With expert guidance and valuable resources, we help you stay on track throughout your course.

  • MPES Learning offers dedicated support to help you succeed in Accounting and Finance courses.
  • Get expert guidance from tutors available online to assist with your studies.
  • Check your eligibility for exemptions with the relevant professional body before starting.
  • Our supportive team is here to offer study advice and support throughout your course.
  • Access a range of materials to help enhance your learning experience. These resources include practice exercises and additional reading to support your progress.

Career Growth Stories

MPES Learning offers globally recognised courses in accounting,

Need help with your ACCA course?

Our course advisors are here to help guide you and ensure that you choose the right course for you and your career journey.

Have Questions? We’ve Got You

If you have any questions, we’re here to help. Find the answers you need in the MPES detailed FAQ section.

Q. What is the focus of the Big Data and Machine Learning with Google Cloud Platform course?

This course focuses on using Google Cloud tools like BigQuery and TensorFlow for scalable data processing, analysis, and machine learning model deployment to solve complex data challenges. 

Q. Do I need prior experience with Google Cloud to take this course?

No prior Google Cloud experience is required, but familiarity with programming and data concepts will help learners grasp the course content effectively. 

Q. What practical skills will I gain from this course?

You will learn to process and analyse big data, build machine learning models, and deploy AI solutions using Google Cloud’s advanced tools and frameworks. 

Q. Who should take this course?

This course is ideal for data analysts, machine learning engineers, cloud engineers, and professionals looking to enhance their skills in big data and AI using Google Cloud. 

Q. How is the course delivered?

The course includes expert-led sessions, hands-on exercises, and real-world case studies, ensuring learners gain practical knowledge and experience with Google Cloud tools. 

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Resources

Access a wide range of free resources to support your learning journey. From blogs to news and podcasts, these valuable guides are available at no cost to help you succeed.

Course Schedule

£2995

Big Data and Machine Learning with Google Cloud Platform

15th March 2024

15th March 2024

(1 days)

DELIVERY METHOD

Classroom

£2995

Big Data and Machine Learning with Google Cloud Platform

17th May 2024

17th May 2024

(1 days)

DELIVERY METHOD

Classroom

£2995

Big Data and Machine Learning with Google Cloud Platform

14th June 2024

14th June 2024

(1 days)

DELIVERY METHOD

Classroom

£2995

Big Data and Machine Learning with Google Cloud Platform

19th July 2024

19th July 2024

(1 days)

DELIVERY METHOD

Classroom

Course Schedule

£1995

Big Data and Machine Learning with Google Cloud Platform

Fri 8th Mar 2024

Fri 8th Mar 2024

Duration - 1 Days

DELIVERY METHOD

Virtual

£1995

Big Data and Machine Learning with Google Cloud Platform

Fri 21st Jun 2024

Fri 21st Jun 2024

Duration - 1 Days

DELIVERY METHOD

Virtual

£1995

Big Data and Machine Learning with Google Cloud Platform

Fri 6th Sep 2024

Fri 6th Sep 2024

Duration - 1 Days

DELIVERY METHOD

Virtual

£1995

Big Data and Machine Learning with Google Cloud Platform

Fri 6th Dec 2024

Fri 6th Dec 2024

Duration - 1 Days

DELIVERY METHOD

Virtual