Gain In-Depth Knowledge of Big Data and Machine Learning Fundamentals with Google Cloud Platform

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Google Cloud Platform Big Data and Machine Learning Fundamentals Course Overview


Google Cloud Platform Big Data and Machine Learning Fundamentals is a comprehensive course covering the core concepts of big data and machine learning on the Google Cloud Platform. The course is designed to help you understand how Google Cloud Platform products can be leveraged to build powerful data-driven models and gain insights from your data. In this course, you will learn how to:
• Use BigQuery to store and query large datasets
• Exploit GCP technologies such as Cloud Storage, Compute Engine, and Kubernetes
• Build and serve predictive model with Cloud Machine Learning Engine
• Deploy applications and manage data with Cloud Dataflow
• Perform online machine learning and streaming analytics with Cloud Dataflow
• Understand data engineering
• Automate data processing with Cloud Dataflow
• Clean, transform, and join data sources with Apache Beam
• Understand container and cluster management with Kubernetes
• Use natural language processing with Google Cloud Natural Language API
• Gather, refine, and visualize data with Excel and Google Data Studio
• Present your findings with BigQuery and Data Studio
This course is designed for data engineers, data scientists, data analysts, and anyone interested in learning about data management and computational methods for predictive analytics and machine learning on the Cloud. To get the most out of this course, you should have basic programming knowledge in Python.

This is a Rare Course and it can be take up to 3 weeks to arrange the training.

The 1-on-1 Advantage
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Flexible Dates

  • • Choose Start Date
  • • Reschedule After Booking
  • • Weekend / Evening Option
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4-Hour Sessions

Destination Training
(Dubai/London/Sydney
New York/Delhi/Goa
Singapore)

Flexi
(On Demand Videos)

You will learn:

Module 1: Introducing Google Cloud Platform
  • Google Platform Fundamentals Overview
  • Google Cloud Platform Big Data Products
  • CPUs on demand (Compute Engine)
  • A global filesystem (Cloud Storage)
  • CloudShell
  • Lab: Set up a Ingest-Transform-Publish data processing pipeline
  • 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
  • Fast random access
  • Datalab
  • BigQuery
  • Lab: Build machine learning dataset
  • Machine Learning with TensorFlow
  • Lab: Carry out ML with TensorFlow
  • Pre-built models for common needs
  • Lab: Employ ML APIs
  • Message-oriented architectures with Pub/Sub
  • Creating pipelines with Dataflow
  • Reference architecture for real-time and batch data processing
  • Why GCP?
  • Where to go from here
  • Additional Resources
Live Online Training (Duration : 16 Hours) Fee On Request
We Offer :
  • 1-on-1 Public - Select your own start date. Other students can be merged.
  • 1-on-1 Private - Select your own start date. You will be the only student in the class.

4 Hours
8 Hours
Week Days
Weekend

Start Time : At any time

12 AM
12 PM

1-On-1 Training is Guaranteed to Run (GTR)
Group Training
Date On Request
Course Prerequisites

There are no prerequisites for this training, however, a basic understanding of Linux, programming languages, and databases will be helpful.

Target Audience


The Google Cloud Platform Big Data and Machine Learning Fundamentals training will mostly appeal to data scientists, engineers, statisticians, analysts, software developers, and other IT professionals tasked with data-related projects
It will also be of great value to organizations seeking to make innovation and change in their operations through the use of Big Data
Additionally, those wanting to improve their knowledge and skills in the burgeoning field of Machine Learning will find the course invaluable
By the end of the training, participants can expect to gain an in-depth understanding of the technology behind Google Cloud Platform and its suite of Big Data and Machine Learning tools

Learning Objectives of Google Cloud Platform Big Data and Machine Learning Fundamentals


1. Become familiar with Google Cloud Platform tools for managing Big Data and Machine Learning.
2. Learn Big Data technologies such as Google BigQuery and Cloud Dataproc.
3. Learn Machine Learning fundamentals and different algorithms.
4. Understand how to use the Google Cloud Platform services for Big Data analytics, processing and Machine Learning.
5. Build models for data analysis and Machine Learning applications in Google Cloud Platform.
6. Implement Big Data and Machine Learning use-cases related to image recognition, text analysis and language models.
7. Understand the different ways of deploying models in Google Cloud Platform.
8. Learn to create custom functions and deploy them in production.
9. Develop the skills needed to take on Data Analytics, Machine Learning and Artificial Intelligence projects within Google Cloud Platform.

Student Feedback  (Check Koenig Feedback on Trustpilot)

Q1 Say something about the Trainer? Q2 How is Koenig different from other training Companies? Q3 Will you come back to Koenig for training ?
Student Name Feedback
Abu
United States
A1. Yes, she was very clear & a strong mastery of both English & Azure platforms hence following was easy. She was also patient and was answering every question asked, she also shared material & tips on how to pass the exam, Well done, and keep it up.
Nick Barker
United States
A1. Calm and understanding, she not only kept the course running well but also took time to help those with lots of questions. Very well done.
Robin Johnson
United States
A2. Individual attention during training, excellent customer service and coordination. Neha has been ever so helpful and is definitely an asset to Koenig.
Shivani Prasad
United States
A1. The trainer was great and his teaching methods were incredible. He used different teaching methods to ensure I was learning well. A fun trainer with lots of patience and understanding.
Adam
United States
A1. The trainer was very knowledgeable and well prepared about the presentation/training subject, with a positive attitude towards students and making every effort in answering questions during the training session. Top-notch service!
Suresh
United States
A1. Exceptional... recommend to everyone!
Shyam Vaddakapett
United States
A1. My trainer, Mohit Kakkar was excellent as he focused on hands-on assignments to supplement the concepts of AZ 900. The training coordinator Jasmeet as well as the ops manager Sheshadri are also very professional and customer-centric. I recommend Koenig for training courses, and I will take some more courses with them soon.
Gilles Chirlias
United States
A1. Chavi was a great teacher, I have learned a lot from her. I would like to have her for the next training, which would be the AZ 301 and AZ 500.
Abdulrahman Saad Alshahrani
United States
A1. Excellent trainer. I will take another course with him someday. He deserves a good appreciation from his Manager.
Anonymous
United States
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1-on-1 Public - Select your start date. Other students can be merged.
1-on-1 Private - Select your start date. You will be the only student in the class.
Yes, course requiring practical include hands-on labs.
You can buy online from the page by clicking on "Buy Now". You can view alternate payment method on payment options page.
Yes, we also offer weekend classes.
Yes, Koenig follows a BYOL(Bring Your Own Laptop) policy.
Buy-Now. Pay-Later option is available using credit card in USA and India only.
You will receive the digital certificate post training completion via learning enhancement tool after registration.
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It is recommended but not mandatory. Being acquainted with the basic course material will enable you and the trainer to move at a desired pace during classes.You can access courseware for most vendors.
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The Fee includes:
  • Courseware
Schedule for Group Training is decided by Koenig. Schedule for 1-on-1 is decided by you.
In 1-on-1 you can select your own schedule, other students can be merged but you select the schedule. Choose 1-on-1 if published schedule do not meet your requirement. If you also want a private session, opt for 1-on-1 Public.
No, it is not included.

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“It is an interesting story and dates back half a century. My father started a manufacturing business in India in the 1960's for import substitute electromechanical components such as microswitches. German and Japanese goods were held in high esteem so he named his company Essen Deinki (Essen is a well known industrial town in Germany and Deinki is Japanese for electric company). His products were very good quality and the fact that they sounded German and Japanese also helped. He did quite well. In 1970s he branched out into electronic products and again looked for a German name. This time he chose Koenig, and Koenig Electronics was born. In 1990s after graduating from college I was looking for a name for my company and Koenig Solutions sounded just right. Initially we had marketed under the brand of Digital Equipment Corporation but DEC went out of business and we switched to the Koenig name. Koenig is difficult to pronounce and marketeers said it is not a good choice for a B2C brand. But it has proven lucky for us.” – Says Rohit Aggarwal (Founder and CEO - Koenig Solutions)
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