Machine Learning on Google Cloud Course Overview

Enroll for 5-day Machine Learning on Google Cloud course from Koenig Solutions. In this course you will learn how to write distributed machine learning models that scale in Tensorflow 2.x, perform feature engineering in BQML and Keras, evaluate loss curves and perform hyperparameter tuning, and train models at scale with Cloud AI Platform.

Target Audience:

  • Aspiring machine learning data scientists and engineers.
  • Machine learning scientists, data scientists, and data analysts who want exposure to machine learning in the cloud using TensorFlow 2.x and Keras.
  • Data engineers.

Learning Objectives:

  • Frame a business use case as a machine learning problem.
  • Describe how to improve data quality.
  • Perform exploratory data analysis.
  • Build and train supervised learning models.
  • Optimize and evaluate models using loss functions and performance metrics.
  • Create repeatable and scalable training, evaluation, and test datasets.
  • Implement machine learning models using Keras and TensorFlow 2.x.
  • Understand the impact of gradient descent parameters on accuracy, training speed, sparsity, and generalization.
  • Represent and transform features.
  • Train models at scale with AI Platform.

 

 

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

The 1-on-1 Advantage

Methodology

Flexible Dates

  • • Choose Start Date
  • • Reschedule After Booking
  • • Weekend / Evening Option

4-Hour Sessions

You will learn:

Module 1: How Google Does Machine Learning
  • Develop a data strategy around machine learning
  • Examine use cases that are then reimagined through an ML lens.
  • Recognize biases that ML can amplify.
  • Leverage Google Cloud Platform tools and environment to do ML.
  • Learn from Google's experience to avoid common pitfalls.
  • Carry out data science tasks in online collaborative notebooks
  • Invoke pre-trained ML models from Cloud AI Platform.
  • Describe how to improve data quality
  • Perform exploratory data analysis.
  • Build and train supervised learning models.
  • Optimize and evaluate models using loss functions and performance metrics.
  • Mitigate common problems that arise in machine learning
  • Create repeatable and scalable training, evaluation, and test datasets.
  • Create TensorFlow 2.x and Keras machine learning models
  • Describe Tensorflow 2.x key components.
  • Use the tf.data library to manipulate data and large datasets
  • Use the Keras Sequential and Functional APIs for simple and advanced model creation.
  • Train, deploy, and productionalize ML models at scale with Cloud AI Platform.
  • Compare the key required aspects of a good feature.
  • Combine and create new feature combinations through feature crosses.
  • Perform feature engineering using BQML, Keras, and TensorFlow 2.x
  • Understand how to preprocess and explore features with Cloud Dataflow and Cloud Dataprep
  • Understand and apply how TensorFlow transforms features
  • Optimize model performance with hyperparameter tuning.
  • Experiment with neural networks and fine-tune performance.
  • Enhance ML model features with embedding layers.
Live Online Training (Duration : 40 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
  • Some familiarity with basic machine learning concepts.
  • Basic proficiency with a scripting language - Python preferred.

 

Request More Information

Add Name and Email Address of participant (If different from you)

FAQ's


In both, you choose the schedule. In public, other participants can join, Private other participants want to join.
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.
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We use the best standards in Internet security. Any data retained is not shared with third parties.
You can request a refund if you do not wish to enroll in the course.
To receive an acknowledgment of your online payment, you should have a valid email address. At the point when you enter your name, Visa, and other data, you have the option of entering your email address. Would it be a good idea for you to decide to enter your email address, confirmation of your payment will be emailed to you.
After you submit your payment, you will land on the payment confirmation screen.It contains your payment confirmation message. You will likewise get a confirmation email after your transaction is submitted.
We do accept all major credit cards from Visa, Mastercard, American Express, and Discover.
Credit card transactions normally take 48 hours to settle. Approval is given right away; however,it takes 48 hours for the money to be moved.
Yes, we do accept partial payments, you may use one payment method for part of the transaction and another payment method for other parts of the transaction.
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Yes, we do offer corporate training More details
Yes, we do.
Yes, we also offer weekend classes.
Yes, Koenig follows a BYOL(Bring Your Own Laptop) policy.
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.
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.
Yes you can.
Yes, we do. For details go to flexi
You can pay through debit/credit card or bank wire transfer.
Dubai, Goa, Delhi, Bangalore.
Yes you can request your customer experience manager for the same.
No, the published fee includes all applicable taxes.
Yes, we do.
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.
Yes.
No, it is not included.

Prices & Payments

Yes of course.
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Travel and Visa

Yes we do after your registration for course.

Food and Beverages

Yes.

Others

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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)
All our trainers are fluent in English . Majority of our customers are from outside India and our trainers speak in a neutral accent which is easily understandable by students from all nationalities. Our money back guarantee also stands for accent of the trainer.
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Yes, if you send 4 participants, we can offer an exclusive training for them which can be started from Any Date™ suitable for you.