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Big Data and Machine Learning with Google Cloud Platform Overview
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
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.
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
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. 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.
Live classes
Join a scheduled class with a live instructor and other delegates.
Interactive
Engage in activities, and communicate with your trainer and peers.
Global Pool of the Best Trainers
We handpick from a global pool of expert trainers for our Online Instructor-led courses.
Expertise
With 10+ years of quality, instructor-led training, we equip professionals with lasting skills for success.
Global Reach
With classes running in all timezones, access any of our courses and course material from anywhere, anytime.
Unlock your potential with The Knowledge Academy's Big Data and Machine Learning with Google Cloud Platform, 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.
What our customers are saying
Big Data and Machine Learning with Google Cloud Platform 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 Hong Kong 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 Hong Kong starts from HKD13995
The Knowledge Academy is the Leading global training provider for Big Data and Machine Learning with Google Cloud Platform.
Please see our Google Cloud Certification courses available in Hong Kong
Why choose us
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.
Many delivery methods
Flexible delivery methods are available depending on your learning style.
High quality resources
Resources are included for a comprehensive learning experience.
"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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Big Data And Machine Learning With Google Cloud Platform in Hong Kong
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