Google - Google Cloud Fundamentals: Big Data and Machine Learning

Duration

Duration:

Just 1 Day

Method

Method:

Classroom / Online / Hybrid

Next date

Next date:

30/9/2024 (Monday)

Overview

Overview

On this accelerated Google Cloud Fundamentals: Big Data and Machine Learning course, introduces participants to the big data capabilities of Google Cloud Platform. Through a combination of presentations, demos, and hands-on labs, you will get an overview of the Google Cloud platform and a detailed view of the data processing and machine learning capabilities. This course showcases the ease, flexibility, and power of big data solutions on Google Cloud Platform.

At the end of this course, you’ll achieve your Google Cloud Fundamentals: Big Data and Machine Learning certification.

Through Firebrand’s Lecture | Lab | Review methodology, you’ll get certified at twice the speed of the traditional training and get access to courseware, learn from certified instructors, and train in a distraction-free environment.

Audience

This course is ideal for:

  • Data analysts getting started with Google Cloud Platform
  • Data scientists getting started with Google Cloud Platform
  • Business analysts getting started with Google Cloud Platform
  • Individuals responsible for designing pipelines and architectures for data processing, creating and maintaining machine learning and statistical models, querying datasets, visualizing query results and creating reports
  • Executives and IT decision makers evaluating Google Cloud Platform for use by data scientists

Four reasons why you should sit your course with Firebrand Training

  1. You'll be trained and certified faster. Learn more on this 1-day accelerated course. You'll get at least 12 hours a day of quality learning time in a distraction-free environment
  2. Your course is all-inclusive. One simple price covers all course materials, exams, accommodation and meals – so you can focus on learning
  3. Pass first time or train again for free. Your expert instructor will deliver our unique accelerated learning methods, allowing you to learn faster and be in the best possible position to pass first time. In the unlikely event that you don't, it's covered by your Certification Guarantee
  4. Study with an award-winning training provider. We've won the Learning and Performance Institute's "Training Company of the Year" three times. Firebrand is your fastest way to learn, with 134.561 students saving more than one million hours since 2001

Curriculum

  • Module 1: Purpose and value of the key Big Data and Machine Learning products in the Google Cloud Platform
  • Module 2: Use Cloud SQL and Cloud Dataproc to migrate existing MySQL and Hadoop/Pig/Spark/Hive workloads to Google Cloud Platform
  • Module 3: Employ BigQuery and Cloud Datalab to carry out interactive data analysis
  • Module 4: Train and use a neural network using TensorFlow
  • Module 5: Employ ML APIs
  • Module 6: Choose between different data processing products on the Google Cloud Platform

 

Exam Track

At the end of this accelerated course, you’ll achieve your Google Cloud Fundamentals: Big Data and Machine Learning Certification.

What's Included

Your accelerated course includes:

  • Accommodation *
  • Meals, unlimited snacks, beverages, tea and coffee *
  • On-site exams **
  • Exam vouchers **
  • Practice tests **
  • Certification Guarantee ***
  • Courseware
  • Up-to 12 hours of instructor-led training each day
  • 24-hour lab access
  • Digital courseware **
  • * For residential training only. Accommodation is included from the night before the course starts. This doesn't apply for online courses.
  • ** Some exceptions apply. Please refer to the Exam Track or speak with our experts
  • *** Pass first time or train again free as many times as it takes, unlimited for 1 year. Just pay for accommodation, exams, and incidental costs.

Prerequisites

Before attending this accelerated course, you should have:

  • Basic proficiency with common query language such as SQL
  • Experience with data modelling, extract, transform, load activities
  • Developing applications using a common programming language such Python
  • Familiarity with Machine Learning and/or statistics

Are you ready to get certified in record time?

We interview all applicants for the course on their technical background, degrees and certifications held, and general suitability. If you get through this screening process, it means you stand a great chance of passing.

Firebrand Training is an immersive training environment. You must be committed to the course. The above prerequisites are guidelines, but many students with less experience have other background or traits that have enabled their success in accelerated training through Firebrand Training.

If you have any doubts as to whether you meet the pre-requisites please call 09 - 31 587 431 and speak to one of our enrolment consultants, who can help you with a training plan.

Reviews

We've currently trained 134.561 students in 12 years. We asked them all to review our Accelerated Learning. Currently,
96,14% have said Firebrand exceeded their expectations:

"Great teacher, highly recommended GCP instructor. Really enjoyed my week."
Neil Goodridge. (6/6/2023 (Tuesday) to 9/6/2023 (Friday))

"Great teacher, highly recommended GCP instructor. Really enjoyed my week."
Neil Goodridge. (6/6/2023 (Tuesday) to 9/6/2023 (Friday))

"Effective way to gain certification. Would highly recommend to colleagues. Great location. Comfortable environment. Good food."
Nigel Hodges, Pyrus Consulting. (21/5/2024 (Tuesday) to 24/5/2024 (Friday))

"Effective way to gain certification. Would highly recommend to colleagues. Great location. Comfortable environment. Good food."
Nigel Hodges, Pyrus Consulting. (21/5/2024 (Tuesday) to 24/5/2024 (Friday))

"Very good Resources within the E-Book, Mixed with the Lessons, it is also has good Labs to get hands on Practice and put the theory somewhere practical to get full learning experience, with very high standard explanation throughout the lectures. 10/10!"
Rhys Thomas, Nokia. (7/5/2024 (Tuesday) to 10/5/2024 (Friday))

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