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Learner Reviews & Feedback for Machine Learning Data Lifecycle in Production by DeepLearning.AI

4.3
stars
808 ratings

About the Course

In the second course of Machine Learning Engineering for Production Specialization, you will build data pipelines by gathering, cleaning, and validating datasets and assessing data quality; implement feature engineering, transformation, and selection with TensorFlow Extended and get the most predictive power out of your data; and establish the data lifecycle by leveraging data lineage and provenance metadata tools and follow data evolution with enterprise data schemas. Understanding machine learning and deep learning concepts is essential, but if you’re looking to build an effective AI career, you need production engineering capabilities as well. Machine learning engineering for production combines the foundational concepts of machine learning with the functional expertise of modern software development and engineering roles to help you develop production-ready skills. Week 1: Collecting, Labeling, and Validating data Week 2: Feature Engineering, Transformation, and Selection Week 3: Data Journey and Data Storage Week 4: Advanced Data Labeling Methods, Data Augmentation, and Preprocessing Different Data Types...

Top reviews

SC

Jul 2, 2021

Interesting material. There are quite a lot of typos and many code snippets are directly from the tfx manual pages however the instructions provided and logic of the course is clear.

AW

Oct 13, 2021

It is a very informative course. I learned a lot about data, metadata, schema and feature engineering, Also, Robert Crowe sir is a very good teacher.

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51 - 75 of 166 Reviews for Machine Learning Data Lifecycle in Production

By Tom v D

Aug 21, 2021

This was my first course with Robert, which was a very pleasant experience.

By Zanuar E R

Dec 24, 2021

It is really good course, the detail explanation of Data LifeCycle in TFX!

By Vijay R

Jun 17, 2023

The assessment need final answers as some of us could not get 100%

By Himanshu S

Jan 1, 2023

It is a very nice course. I will recommend this to other students.

By sathvik n

Sep 12, 2023

Hands on Labs and Worth a watch and very well trained professors

By Carlos H A P

Sep 19, 2022

Excelente curso com um conteúdo bem completo e bem direcionado.

By GUILLERMO R

Jun 6, 2023

Excelente Course, everything is great!!! Thank you very much!!!

By Walt H

Sep 8, 2021

You can immediately apply everything you learn in this course!

By Hieu D T

Aug 15, 2021

Some questions are difficult. Lots of new terms. Great course!

By Felix F

Jan 27, 2023

Great training! Great trainer, super materials and labs.

By AG S

Apr 21, 2023

Great course, but could dive deeper into TFX resources.

By Calina C

Feb 16, 2023

excellent combination of lectures and hands on sessions

By Pierre-Alexandre P

Jul 9, 2021

Very good training about data lifecycle for ML projects

By Asif M

Feb 8, 2023

Very informative and easy to read and do the examples.

By Meng C

Jan 13, 2022

Great overview and labs for cutting-edge TFX platform.

By Fady A

Jul 25, 2022

Excellent material and comprehensive assignments

By David B M

Dec 26, 2021

Podría ser cool el modo dark en los laboratorios

By Barata T O

Aug 5, 2022

Many Hands-on to help understand the materials.

By Chandan k

Jun 22, 2021

A good course indeed to pursue my dream job !

By Sri V D

Oct 30, 2022

A very good introduction to Data Life Cycle.

By Tim T

Mar 26, 2023

Excellent course as usual! 5 out of 5 stars!

By Lakshya

Dec 11, 2023

Very Nice course with well explained labs

By Nguyễn T A

Jun 6, 2023

Nice course for introducing about MLOps

By Gonzalo S S

Aug 5, 2023

Excelente contenido y laboratorios

By Thành H Đ T

Aug 8, 2021

it's very nice. thank you so much