TP
Great course; would be better if the case study file was not broken (missing files, missing table in db, etc.)

This six course specialization is designed to prepare you to take the certification examination for IBM AI Enterprise Workflow V1 Data Science Specialist. IBM AI Enterprise Workflow is a comprehensive, end-to-end process that enables data scientists to build AI solutions, starting with business priorities and working through to taking AI into production. The learning aims to elevate the skills of practicing data scientists by explicitly connecting business priorities to technical implementations, connecting machine learning to specialized AI use cases such as visual recognition and NLP, and connecting Python to IBM Cloud technologies. The videos, readings, and case studies in these courses are designed to guide you through your work as a data scientist at a hypothetical streaming media company. Throughout this specialization, the focus will be on the practice of data science in large, modern enterprises. You will be guided through the use of enterprise-class tools on the IBM Cloud, tools that you will use to create, deploy and test machine learning models. Your favorite open source tools, such a Jupyter notebooks and Python libraries will be used extensively for data preparation and building models. Models will be deployed on the IBM Cloud using IBM Watson tooling that works seamlessly with open source tools. After successfully completing this specialization, you will be ready to take the official IBM certification examination for the IBM AI Enterprise Workflow.

TP
Great course; would be better if the case study file was not broken (missing files, missing table in db, etc.)
RM
Very Informative and Labs for Hands-on session was useful.
NM
Dear Team,Namaste !! Well...All Instructer Very Help Full ...Quick Reply for any Queries ...Concept Clearance.Thanks & RegardsNeela Mistry
PL
The teaching materials are well presented and clear.Just that the level of this course is a bit not advanced enough.
AA
Very nice overview of recommendation systems and deployment to spark for scaling.
SB
Very well structured the course. Peraphs s too many things to practice all togther at least for me
PC
Very helpful and good course to start my journey to AI Workflow - Thanks!
YI
This course provided a clear and structured introduction to data analysis and hypothesis testing within an AI workflow.
PL
It's quite good but the content could be more in-depth as an 'advance' course.
BG
Its pretty difficult to follow up with this course. We must have a good knowledge on Neural n/ws prior starting this course.
DL
Please take note these courses assumes you have the skills like Scala, Dockers, Python etc. The practice is one lab ungraded
AA
Some materials were hard to follow. Lot of links were not active which push me to search much of time my self
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For all of these courses, no data source has been provided 100%. All of them have an issue and can not be used for the case study. Also for the second module, even no solution has been provided in the case-study-solution notebook. To be honest, the lectures didn't provide us enough material to deal with the course and I totally learn nothing from this course. It just wastes our time.
The instructor has completely failed to create a course that works and does not adequately answer questions. There were so many errors in the week 2 data ingest notebook that even after I fixed things, there remained errors at the end that made it impossible to use and the instructor was never able to fix it (the key error since invoive_item_id doesn't exist). I learned nothing from this awful course.
Great course; would be better if the case study file was not broken (missing files, missing table in db, etc.)
Basic introduction to data ingestion pipeline.
Country table missing in lab db.The lab was failed.To Sad.
It was just waste a time.
I am totally amazed with the course content. I have never such a well structured course like this. Key take aways. are: Every Video is short and crisp, and each video is followed by transcript with hyperlinks. If one watches the video, the transcript gives view point and hyperlinks really makes you ready for the quiz which is the following section. Every problem in the course, gives exposure to various methodologies and reason for using them. Finally, the notebooks which were shared both local version and Watson version. This in turn giving you liberty to use Cloud platform to get hands on. Great content, thank you
The course is very interesting, but some of the quick questions are ambiguous and then Watson Studio part (sadly as with most IBM courses) is a chore, making it much easier to run everything locally.
everything was good explained even i didnt understand much because of my english. Thank you very much for such good course with notebooks and many related links.
Great way of getting the first-hand experience on how the data science work from the first step of getting data into the system and start working with it.
Very helpful and good course to start my journey to AI Workflow - Thanks!
I love the practical business focus of your IBM! Keep doing great stuff
Brilliant Instructors and well Structured Course
Excellent Course with Practical Case STUDY.
Excelente curso, nos muestra lo esencial
Excellent and a bit challenging
very efficient way of learning
Great! Like it so much!
Excellent training !!!
very good and easy
Very good course.