Discover AutoML (Automated Machine Learning) Course

Welcome to Discover AutoML (Automated Machine Learning) Online Course with live Instructor using an interactive cloud desktop environment DaDesktop. Experience remote live training using an interactive, remote desktop led by a human being!

#artificial intelligence Training #machine learning Training

21 hours

354,000 ₹

What is AutoML (Automated Machine Learning)?

Automated machine learning (AutoML) is the process of automating the tasks of applying machine learning to real-world problems. AutoML covers the complete pipeline from the raw dataset to the deployable machine learning model. AutoML was proposed as an artificial intelligence-based solution to the ever-growing challenge of applying machine learning. The high degree of automation in AutoML allows non-experts to make use of machine learning models and techniques without requiring them to become experts in the field first.

Automating the process of applying machine learning end-to-end, additionally offers the advantages of producing simpler solutions, faster creation of those solutions, and models that often outperform hand-designed models.


  • Introduction to Machine Learning
  • Comparison to the standard approach
  • Stages of Machine Learning process

Would you like to learn Discover AutoML (Automated Machine Learning)?

Simply, click the "Book" button of Discover AutoML (Automated Machine Learning) and proceed to the payment method. Enter your desired schedule of training. You will receive an email confirmation for Discover AutoML (Automated Machine Learning) and a representative / trainer will get in touch with you.

Course Category:

   Machine Learning Training

Last Updated:


Course Schedules

Date Time
December 5, 2022 (Monday) 09:30 AM - 04:30 PM
December 19, 2022 (Monday) 09:30 AM - 04:30 PM
January 2, 2023 (Monday) 09:30 AM - 04:30 PM
January 16, 2023 (Monday) 09:30 AM - 04:30 PM
January 30, 2023 (Monday) 09:30 AM - 04:30 PM
February 13, 2023 (Monday) 09:30 AM - 04:30 PM
February 27, 2023 (Monday) 09:30 AM - 04:30 PM

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