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Big Data and Machine Learning with Google Cloud Platform
What is Big Data and Machine Learning with Google Cloud Platform?
In today's data-driven world, the integration of Big Data and Machine Learning (ML) is crucial for organisations seeking to leverage vast amounts of data for actionable insights. Google Cloud Platform (GCP) provides robust tools and services that enable businesses to process and analyse large datasets, build predictive models, and drive innovation. Understanding these technologies allows professionals to stay competitive in a fast-evolving tech landscape.
Proficiency in Big Data and Machine Learning is essential for professionals looking to excel in data science, analytics, and cloud computing. Software developers, Data Analysts, Business Analysts, and IT Professionals who aim to unlock the full potential of GCP’s capabilities will benefit greatly. Mastering these tools helps enhance decision-making, automate processes, and solve complex problems, giving professionals an edge in any data-centric field.
This 1-day Big Data and Machine Learning with Google Cloud Platform Course offered by Oakwood International is designed to provide delegates with a comprehensive understanding of Big Data technologies and Machine Learning techniques on Google Cloud Platform. Through hands-on training, delegates will learn how to utilise GCP’s tools for data processing, machine learning model development, and cloud-based analytics. By the end of the course, delegates will be equipped to apply these skills effectively in real-world scenarios, improving their technical expertise and career opportunities.
Course Objectives
To understand the fundamentals of Big Data and Machine Learning
To learn how to use Google Cloud’s AI and Machine Learning tools
To process and analyse large datasets using GCP
To build and deploy machine learning models on Google Cloud
To integrate data storage solutions within GCP for optimal performance
To understand the key features of Google BigQuery and Cloud AI tools
To develop skills for automating data pipelines in GCP
Upon successful completion of the course, delegates will receive a certificate, validating their newly acquired expertise in Big Data and Machine Learning with Google Cloud Platform. This certification can enhance their professional profile and demonstrate their ability to manage and analyse data effectively using cutting-edge cloud technology.
Course Outline
Big Data and Machine Learning with Google Cloud Platform
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
Included
Included
- No course includes are available.
Offered In This Course:
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Video Content
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eLearning Materials
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Study Resources
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Completion Certificate
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Tutor Support
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Interactive Quizzes
Individual Training
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Corporate Training
Corporate Training improves employee skills, increases productivity, and aligns teams with company objectives.
Learning Options
Discover a range of flexible learning options designed to meet your needs. Select the format that best supports your personal growth and goals.
Online Instructor-Led Training
- Live virtual classes led by experienced trainers, offering real-time interaction and guidance for optimal learning outcomes.
Online Self-Paced Training
- Flexible learning at your own pace, with access to comprehensive course materials and resources available anytime, anywhere.
Build your future with Oakwood International
We empower you with the skills, knowledge, and confidence to excel in your career. Join us and take the first step towards realising your professional goals.
Frequently Asked Questions
Q. What is Big Data, and why is it important?
Big Data refers to large, complex datasets that require advanced tools for processing and analysis. It is important because it enables organisations to uncover valuable insights, improve decision-making, and drive innovation.
Q. What is machine learning, and how does it relate to Big Data?
Machine learning (ML) is a branch of artificial intelligence that allows systems to learn from data. It relates to Big Data by enabling the analysis of massive datasets to identify patterns, make predictions, and automate decisions.
Q. What is Google Cloud Platform (GCP), and why is it used for Big Data and ML?
GCP is a suite of cloud computing services provided by Google. It offers powerful tools for data storage, processing, and machine learning, making it ideal for handling Big Data and building scalable ML models.
Q. Who should take this course?
This course is ideal for Data Scientists, Data Analysts, Software Developers, Business Analysts, It Professionals, and anyone interested in mastering Big Data and ML technologies on GCP.
Q. Do I need prior experience with Google Cloud or machine learning to join this course?
While prior experience with Google Cloud or machine learning is helpful, this course is designed for beginners and includes introductory content to help delegates get started.
