AWS Machine Learning with SageMaker: Hands-On (Udemy.com)

Does practice test corresponds to the reality? Or was it just artificially created with some questionable topics? Upd: if I could I would be setting rating to 0. Nothing can be worse than this

Excellent Course, I liked the plethora of information that was streamed to us in a very organized fashion. As well as appreciate the various questions that were part of every section. I took my AWS Machine Learning Speciality Exam today and I was able to clear it, ofcourse getting above 750 but some of the questions were more concentrated on Data warangler which I didnt prepare enough and I think this course lacked content on this topic. As a result I didnt score too well on the Date Exploratory Section but regardless I was able to clear the exam and attain my AWS Machine Learning Certification. Thanks alot Mr Chandan.

Good experience, This is my first step in ML courses. I have already been learning other courses from Chandra, therefore I'm not really surprised with the way he has setup these ML content . amazing ! Hi Chandra I'm happy to let you know that i've cleared the ML speciality certification at my first round by last 1rst Aug 2024 : https://www.credly.com/badges/88c9bdbd-d15f-4f8a-a5ef-9450b1104c1a/public_url My exam feedback are the followings : The overall ( 98%) of the exam questions were related to the AWS SageMaker Framework ...That is you have to know deeply SageMaker . Therefore i would suggest to omit some sections of the current content such as sections 22, 23, 24 instead focus on a Business analitycs tool such as QuickSight or SageMaker tools such as Data Wrangler, AutoML, Studio, .. Regards, Aime Guru

I'm thrilled to share that I successfully passed my AWS ML Speciality exam on September 20, 2024. This course played a pivotal role in my journey by providing a solid foundation in cloud concepts and guiding me in the right direction for exam preparation. I dedicated ample time to reviewing the course videos multiple times to ensure a comprehensive understanding. One standout feature of the course is the invaluable PDF presentation, which proved to be a crucial resource for last-minute revision. It covers all the essential topics with precision, making it a go-to document for a final brush-up before the exam. However, it's worth noting that one area for improvement is keeping pace with the rapidly evolving AWS services. While the course is excellent in many aspects, it may not always be up-to-date with the latest services and features launched by AWS. Nonetheless, I remain grateful for the invaluable knowledge and direction this course provided on my journey to AWS ML Speciality certification."

I passed my certification exam recently. And I did used multiple courses to prepare. Out of all this one was my least favorite course. While dwelling on a lot of the fundamentals, from exam point of view, it was difficult to get my bearings straight with this one. And that is my criteria for this rating.

This is amazing course really helped me to get hands on AWS algorithms and focusing on certification. This is definitely my template store for trying out different algorithms and hosting models. I passed the exam this week but it was bit of hard and the questions are tough (about 70%). I had machine learning courses and practice from multiple sources - udemy, cloud guru etc but the questions are little hard - more questions on deep learning layers and weights change, not direct questions but how to use tools metrics (Experiments, Debugger, Model monitor), questions on Auto ML and surprisingly few direct questions about ~5 and only few (~2) from Kinesis.

Chandra Lingam, I recently got my AWS Certified Machine Learning - Speciality Certification! I used your course extensively (with another course) and it played a pivotal role in learning the ML concepts and complete the certification successfully. I very much enjoyed your hands-on approach to teaching. Many of those hands on exercises helped me to get a deeper understanding of the concepts and how they are being applied to the different usecases. Thank You very much! - Venkat

I passed AWS ML Specialty exam today. I tried several courses on Udemy but Chandra's course is the only one that clears all ML concepts. Once the basics were clear, I was able to grasp advanced concepts. One suggestion - there were questions related to Sagemaker model monitoring, debugger and studio in the paper. I believe Chandra should include these topics in his course as well.

It is very relevant so far..

I have completed 25% of the course. Before this course I did other courses on machine learning. But I had no knowledge on creating amazon account or using jupyter notebooks via sagemaker. So while starting this course I was able to grab the concepts easily.
But students who do not have knowledge on regression or other concepts, when the instructor directly goes to evaluating the performance of models, it would be difficult.
So my suggestion to fellow students is
Please go through basic python and machine learning concepts before starting this course. Without that also you can learn from this course. But you cant truly understand everything.
This course is great to students who have prior basic knowledge on machine learning and python and doesn't know anything about Amazon services!!!

Yes, taking this course is a good match for me as I am a grad student, pursuing a Master of Science in Data Science and interested in Machine Learning models and EDA.

Just completed my certification exam and passed successfully. Great course with lot of good explanations. Thanks a lot.