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Google - Advanced Solutions Lab

Duration

Duration:

Only 2 Days

Method

Method:

Classroom / Online / Hybrid

Next date

Next date:

6/2/2023 (Monday)

Overview

On this accelerated Google Advanced Solutions Lab course, you’ll learn to build high-impact business solutions and to design and implement better models of strategy for your business, while accessing a deep dive into machine learning (ML).

In just 4 days, you’ll learn the fundamentals of ML and Cloud tools, TensorFlow deep dive, image classification and Google Cloud Machine Learning APIs. You’ll also build knowledge on:

  • Synthetic features
  • Distributed training
  • Model deployment

There is no exam for this course. Achieve your Google Cloud certification at twice the speed with Firebrand. Through the Lecture | Lab | Review methodology, you’ll get access to approved courseware and learn from certified Google instructors, and train in a distraction-free environment.

Benefits

Other accelerated training providers rely heavily on lecture and independent self-testing and study.

Effective technical instruction must be highly varied and interactive to keep attention levels high, promote camaraderie and teamwork between the students and instructor, and solidify knowledge through hands-on learning.

Firebrand Training provides instruction to meet every learning need:

  • Intensive group instruction
  • One-on-one instruction attention
  • Hands-on labs
  • Lab partner and group exercises
  • Question and answer drills
  • Independent study

Curriculum

  • Module 1: Machine Learning fundamentals and Cloud tools overview
  • Module 2: TensorFlow deep dive
  • Module 3: Hyperparameter tuning
  • Module 4: Synthetic features
  • Module 5: Distributed training
  • Module 6: Model deployment
  • Module 7: Data preprocessing with DataFlow and TensorFlow
  • Module 8: Sparse features and text models
  • Module 9: Recommendation systems
  • Module 10: Image classification
  • Module 11: Prepackaged models and Google Cloud Machine Learning APIs
  • Module 12: Additional project per availability

Exam Track

There is currently no exam for this accelerated course.

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. 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 (just pay for accommodation, exams and incidental costs)

Prerequisites

Before attending this accelerated course, you should have basic understanding of machine learning.

Unsure whether you meet the prerequisites? Don’t worry. Your training consultant will discuss your background with you to understand if this course is right for you.

Reviews

Here's the Firebrand Training review section. Since 2001 we've trained exactly 134561 students and asked them all to review our Accelerated Learning. Currently, 96.55% have said Firebrand exceeded their expectations.

Read reviews from recent accelerated courses below or visit Firebrand Stories for written and video interviews from our alumni.


"I recommend Firebrand Training Sessions since it is concentrating on the core information and save precious time for attendees."
Anonymous (20/6/2022 (Monday) to 24/6/2022 (Friday))

"I recommend Firebrand Training Sessions since it is concentrating on the core information and save precious time for attendees."
Anonymous (20/6/2022 (Monday) to 24/6/2022 (Friday))

"A great learning experience."
Alan Crowdy, GNS . (5/12/2019 (Thursday) to 7/12/2019 (Saturday))

"Firebrand is providing me with a condensed training always fitting my tight timetable with a high success rate on the certification."
Anonymous (5/12/2019 (Thursday) to 7/12/2019 (Saturday))

"Good training. I have learned very much in a short time."
Frank Lute. (19/11/2018 (Monday) to 21/11/2018 (Wednesday))

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