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Learner Reviews & Feedback for AI Workflow: Machine Learning, Visual Recognition and NLP by IBM

4.4
stars
85 ratings

About the Course

This is the fourth course in the IBM AI Enterprise Workflow Certification specialization.    You are STRONGLY encouraged to complete these
courses in order as they are not individual independent courses, but part of a workflow where each course builds on the previous ones.  Course
4 covers the next stage of the workflow, setting up models and their associated data pipelines for a hypothetical streaming media company. 
The first topic covers the complex topic of evaluation metrics, where you will learn best practices for a number of different metrics including
regression metrics, classification metrics, and multi-class metrics, which you will use to select the best model for your busine...
...

Top reviews

NM

Jul 6, 2020

Dear Team ,Namaste Everyone !! Excellent Course structure - ML, VR and NLP.Great Learning Module Design by All Faculty. Thanks to everyone!!!

PL

May 2, 2020

The teaching materials are well presented and clear.Just that the level of this course is a bit not advanced enough.

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1 - 14 of 14 Reviews for AI Workflow: Machine Learning, Visual Recognition and NLP

By Neela M

Jul 7, 2020

Dear Team ,

Namaste Everyone !!

Excellent Course structure - ML, VR and NLP.

Great Learning Module Design by All Faculty.

Thanks to everyone!!!

By Patrick L

May 3, 2020

The teaching materials are well presented and clear.

Just that the level of this course is a bit not advanced enough.

By vignaux

Nov 17, 2019

Great course with a lot of practice and smart meaning !

By Julio C

Jul 30, 2020

Great training !!!

By Suryabrata D

Jul 6, 2020

very Informative

By Takahide M

Jan 4, 2023

Very Nice.

By AKARAPU K

Aug 12, 2024

Very good

By Холмухамедова З Б к

May 30, 2022

Perfect

By Huỳnh T Â

Mar 15, 2025

hay

By BHAVANA g

Sep 22, 2020

Its pretty difficult to follow up with this course. We must have a good knowledge on Neural n/ws prior starting this course.

By S M A J

May 28, 2020

Good for using IBM tools

By Dennis L

Aug 29, 2020

Theory Overview only

By David L

Aug 26, 2020

Aspects of this course could be worked on with regards to smoothness, conceptual teaching and grammatical/spelling errors.

Much of the course had confusing terminology/grammatical forms which made multiple lessons difficult to understand. The video quality was, for the most part, very well done -- but some videos moved too quickly to follow (although it may just be my current level is too low).

I really enjoyed the case studies for the most part; they were challenging and informative, forcing you to learn yourself. There were a couple of areas where I would've appreciated more guidance, such as setting up the MLP/CNN at the end of Week 2. I had no idea that we needed to use a sparse-categorical-crossentropy loss function until I looked at the solution -- and I'm not sure other students would know the same.

Otherwise, it was a useful course.

By Markey S

Oct 10, 2024

Too much time on Theory. Little practical work. The practical work is basic and not advanced. Misspellings in Material and Downloads indicate a poor attention to detail from instructors.