Big Data and Machine Learning with Google Cloud Platform

The Big Data and Machine Learning with Google Cloud Platform Training course equips learners with the skills to process, analyse, and model large datasets using Google Cloud’s advanced tools and technologies, enabling data-driven decision-making.

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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.

Average completion time

1 Month

with unlimited support

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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

Discover how MPES Learning transforms careers with real success stories.

George Evans

The Financial Risk Management Course at MPES was invaluable in deepening my understanding of risk assessment and mitigation strategies. The hands-on learning approach allowed me to apply new concepts directly to my work. I highly recommend it for professionals in finance.

George Evans

Risk Manager

James Robinson

As a financial consultant, I am always seeking ways to enhance my expertise. The Investment Analysis Course at MPES exceeded my expectations, offering practical skills and knowledge that I can apply immediately in my consulting work. It's an outstanding choice for professionals in finance.

James Robinson

Financial Consultant

Laura Bennett

The Corporate Finance Course I attended at MPES was transformative. The depth of knowledge shared by the instructors and the relevance of the topics covered have directly impacted on our financial strategy. I strongly endorse this program for anyone in a leadership position in finance.

Laura Bennett

Chief Financial Officer

Emma Johnson

The Financial Modeling and Valuation Course at MPES was incredibly insightful. The practical applications and real-world examples helped solidify my understanding of complex concepts. I highly recommend this course to anyone looking to enhance their financial acumen.

Emma Johnson

Financial Analyst

Arvy Pasanting

As a qualified accountant, studying at MPES has been a very rewarding experience. Its team of passionate and dedicated mentors gave me the confidence and knowledge I needed to not just excel at my current role as an auditor, but also inspired me to expand my horizons.

Arvy Pasanting

Audit Senior (incoming Reconciliations Manager)

David Ford

I was recommended MPES after searching for a way to pursue a career in the accounting profession, I have studied with them throughout my journey utilising both their “in class” and online learning opportunities that fit around the needs of my employer, I have found them to be consummate professionals delivering first class accounting courses with support always available.

David Ford

Accountant

Aaron Allcote

As a finance officer, MPES has been a huge help in understanding the process of recording and processing transactions from all different perspectives. The courses are very easy to follow, and the training they provide can be applied to real-life scenarios. The courses have been a huge help for me, and I would highly recommend them.

Aaron Allcote

Finance Officer

Bob Beaumont

I completed all of my ACA studies with MPES and I think you would struggle to find a better training provider anywhere in the British Isles. MPES' tutors are excellent both at delivering training and giving individualised feedback and coaching. the supporting materials and the out of class support are also great.

Bob Beaumont

Senior Accountant

George Evans

George Evans

Risk Manager

James Robinson

James Robinson

Financial Consultant

Laura Bennett

Laura Bennett

Chief Financial Officer

Emma Johnson

Emma Johnson

Financial Analyst

Arvy Pasanting

Arvy Pasanting

Audit Senior (incoming Reconciliations Manager)

David Ford

David Ford

Accountant

Aaron Allcote

Aaron Allcote

Finance Officer

Bob Beaumont

Bob Beaumont

Senior Accountant

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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04-Dec-2024

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