In my personal experience, I found the course to be somewhat lacking in depth. I had hoped to gain a more comprehensive understanding of either the fundamentals of AI in Marketing and Finance or practical applications thereof. The section on marketing, which included some introductory information on recommender systems, was enlightening.

However, I must express my disappointment with Week 3, specifically the segment on AI in Finance. The lecturer failed to cover a wide range of AI applications in finance and neglected to address essential fundamentals regarding the utilization of various AI methods in this field. Instead, a significant portion of the lectures was dedicated to describing financial terms.

Similarly, Week 4 did not provide me with substantial new knowledge. It remained on a superficial level. On a positive note, I did find the interviews with industry professionals engaging and informative.

I´m giving the lower rating overall for the specialization. I completed all the required material (including peer reviews) but was still not awarded the certifcates. I placed a lot of time and effort and this is very unfair.

Very high level (almost too high level) with use cases only covering big companies. Not enough practical. The Finance module however is way too technical compared to the rest of the course. I would not recommend doing this course.

The lecture for week3 wasn't great. Other's were awesome and information well passed

Wow, banks use machine learning to spot fraudulent transactions. Really? Who knew? Actually, I think pretty much everybody. The course spent a lot of time on material that didn't add value. Why spend two lectures on financial ratios and then quiz the learner on those definitions? There are some useful learnings in this course, but you have to sit through too much content to find them. The content could be cut by 50-75% and provide the same amount of learning.

The lecture for unit 3 was clearly done without much care

One of the best courses to understand the application of AI in Marketing and Finance. Professors bringing in such valuable examples made this course a treat to follow. Thanks a lot, Coursera.

Content is ok. Presentation is more talking heads and is boring. Interviews are more interesting for their real-world examples. Slides for the modules often have different content than the presentation, e.g. some module 3 slides not covered in any presentation, and some are a repeat of slides in module 2. Content is 6 years old, which in a course on such a fast-moving technology is quite unacceptable.

very shallow

Outdated, not worth it

Just an amazing course with amazing lecturers that do not go in unnecessary details, but at the same time give you enough understanding of the topic they are discussing

Great content and materials are easy to follow. The interviews with executives specialized in the matter enrich the content as well. Thanks so much!

Great real-world examples. Maybe more graphics to drive home the functions of AI and ML.

Thanks

The finance Module is not that clear about it's objectives

Good for an overview, but not deep enought to understand how to apply it. This is because the algorthms aren't analyzed with enough depth and there are no real workflow of the ML process.

Mods 1, 3, and 4 were excellent. Module 2 was unnecessarily deep for my use case. A high-level review of ML for Finance would have been much more useful.

More applications use cases in detail

This exceptional course meticulously delineates the utilization of Artificial Intelligence (AI) powered applications in amplifying the customer journey and prolonging the customer lifecycle. It methodically unpacked how the prowess of AI-enabled data analytics could be harnessed to scrutinize consumer behaviors, thereby optimizing the potential to orchestrate targeted marketing endeavors towards the pertinent demographic. The course also delved into critical domains such as fraud management and credit risk assessment, elucidating how AI applications stand as formidable bulwarks in the ceaselessly evolving arena of consumer data protection. It shed light on adept strategies to employ supervised and unsupervised machine learning techniques to bolster fraud detection mechanisms. The discourse rendered a profound comprehension of the instrumental roles AI and Machine Learning embody in understanding consumer tendencies. It also provided insights on efficaciously interacting with and analyzing data to augment the deep learning capacity, which in turn, propels business advancement.

Buenas tardes solicite ayuda económica ya que me es imposible cancelar el costo real del Programa especializado sobre AI For Business. Me fue aprobado comencé con el 1 curso de 4 AI Fundamentals for Non-Data Scientists. Lo termine con éxito. me direcciono con el 2do curso pero una vez finalice el modulo para ir a la tarea calificada no me permite realizarlo me bloqueo hasta que actualice con el pago que no lo puedo realizar, no tengo los recursos; deseo culminar este curso especializado solicitando para este curso 2 AI Applications in Marketing and Finance, y los sucesivos una ayuda económica agradezco que me sea tomada en cuenta esta solicitud o que me direccione con alguien de atención al cliente que me explique como hacerla nueva solicitud de ayuda económica para poder continuar y culminar la especialización. Gracias

Excellent course, and I particularly enjoyed the interviews at the end, with participants discussing real life AI usage across industry. I strongly recommend this course. The one feedback I would give is around the Finance bit, first mentioning it was extremely formative and I loved it; the AI discussion though was missing (even acknowledged by the instructor) Would be great to add a video or two regarding a hands-on application of AI in the case discussed and some more use cases. But still, absolutely loved it.