Big Data And Machine Learning With Google Cloud Platform in Exeter

Google Cloud Platform Big Data and Machine Learning Fundamentals Certification 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
• Spark on Dataproc

Module 5: Scaling Data Analysis

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

Module 6: Machine Learning

• Introduction to TensorFlow Datasets
• Pre-built Models for Common Needs

Module 7: Data Processing Architectures

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

Who Should Attend this Google Cloud Platform Big Data and Machine Learning Fundamentals?

The Google Cloud Platform Big Data and Machine Learning Fundamentals 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 for the Google Cloud Platform Big Data and Machine Learning Fundamentals 

There are no formal prerequisites for this certification course.

Introduction to Google Cloud Platform Big Data and Machine Learning Fundamentals Certification

Big Data and Machine Learning with Google Cloud Platform Training introduces delegates to data processing and AI capabilities within GCP. It covers core concepts such as data storage, analytics, and machine learning services used in modern cloud environments.

This training enables delegates to develop skills in processing, analysing, and interpreting large datasets efficiently. It enhances their ability to apply machine learning techniques and supports data-driven decision-making across organisations.

This 1-Day course offered by The Knowledge Academy enables delegates to apply Big Data and machine learning concepts in real-world scenarios. It equips them with practical skills to build data pipelines and design scalable data processing solutions on Google Cloud.

Introduction to Google Cloud Big Data and Machine Learning Fundamentals Certification Course Objectives

• 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
• To understand data workflow orchestration and integration of Google Cloud data services

After completing this Google Cloud Big Data and Machine Learning Fundamentals certification, delegates will gain practical data and ML skills. They will be well-prepared to pursue advanced Google Cloud certifications and enhance career opportunities.

What's Included in this Google Cloud Platform Big Data and Machine Learning Fundamentals?

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