Students who take this course will be able to:
Your custom project:
Nisha Talagala
Founder of Pyxeda AI. Previously, Nisha co-founded ParallelM which pioneered the MLOps practice of managing machine learning in production.
Yamuna Dulanjani
Senior Machine Learning Engineer at Pyxeda AI
The quality of instruction was excellent, the course was well paced so students could ask questions, good final project. Gained experience with AWS ML End2End. Many courses just cover model building. (Richard S. from Class 20210601)
Instructions were mostly straightforward, which was nice and helped move the pace of the course along. (Anthony L. from Class 20210329)
First, I want to thank you so much for organizing such a great training class. It was an excellent training. I am so glad that I am a member of this group!
I really like and appreciate the instructor of the training, Sindhu. I am so happy that I took a class with her. She explained everything so perfectly such a way that I understood all the topics so well without having any prior knowledge. The notes that she and Yamuna made were perfect. I followed the document so easily with enough details. I also like Yamuna for explaining very well about the lab part. I want to thank so much both Sindhu, Yamuna, as well as you for organizing the training and uplifting my skills.
The format of the training was perfect and pace was perfect too.
If this class is offered using AWS, please let me know, I would like to enroll in that. I need to build my ML in AWS skills.
(Krishna M. from Class 20210118)
Not the best with support on the slack but other than that great! Machine Learning models, application to real life, innovative, great teaching (Michael R.. from Class 20210118)
Great content, relevant examples, instructors went above and beyond their way to ensure participants troubleshoot any problems (Pablo G. from Class 20210118)
Really great. I appreciated the hands on walk-through of Sagemaker. I had been looking for some kind of real world course that showed me how to use Sagemaker. It could mean a lot to the business I am trying to launch. And these teachers and the curriculum were excellent! Kudos..(Les G. from Class 20201103)
Both Sindhu and Yamuna were excellent in class; being able to cover a lot of frameworks and machine learning tools.(Juliana C. from Class 20201103)
Good course. Examples from computer vision domain can be added. (Charudatt C. from Class 2020110
it is a good course for thouse who has little or not full knowledge about Cloud computing and/or ML. Most liked that full e2e was shown. Not too complex - was easy to combine with work, which is good. (Student from Class 20201103)
A special thank you to instructors and AICamp for their hard work, amazing instructions, and time. (Benu A. from Class 20200915)
Good Hands-on sessions. May be we could have gone a little far from the current content and touched upon some containerized and orchestrated implementation if that will be a good entry point for interviews. (Suresh M. from Class 20200915)
I attended the first session last night, I really like the course. want to enroll in more courses like this one :-). (Andi L. from Class 20200915)
I thought the 2 instructors did a very good job working together. Every class I saw how they adapted to the class, even handling a difficult student in a professional way, preventing 1 student from holding back the class. The material was very well documented. I especially liked how the information was kept in one document, and all supportive material was restricted to one channel (Slack). If my finances allow, I would like to take your deep learning class as well! (Kelli K. from Class 20200727)
The course was great and the instructors were knowledgeable. (Sarah I. from Class 20200727)
I have learned a lot in this course and the instructors are very knowledgeable in using Sagemaker. (Charlie L. from Class 20200727)
The focus on production. Getting an MVP that can actually interact with the outside world. So many programs do not do this. Actually this was my main draw to the course. (Liliana S. from Class 20200727)
I liked the fact the hand holding stepping through the various steps of building an E2E deep learning algorithm from model to serving. Once you get the hang of the tools its a lot easier to pick up other stuff using the AWS stack. (Student from Class 20200615)
I appreciated a lot the fact that the instructors were women. From my point of view the experience is always better. They were lovely and very helpful to answer any problems or help you if something was not working right (Student from Class 20200615)
Instructors were very knowledgeable, helpful and patient.(Student from Class 20200615)
Course overall was good. I did not have a whole lot of AWS experience and was able to follow along with the steps to get a simple classifier using BlazingText built even though it was not covered in the course. (Student from Class 20200615)
The course has achieved all its objectives with excellent and highly competent instructors and their delivery mechanisms.(Student from Class 20200615)
Although a good course with a lot of great information, I found the approach of having no video of the instructor made it seem hands off and a little remote.(Student from Class 20200615)
E2E work flow and the way its explained to achieve it is very effective.(Student from Class 2020051117)
Its a good course that runs through all aspects from code to deploy of ML project. Learned pretty good information of deployment steps involved and exposing the service to public(Student from Class 2020051117)
the full stack portion was particularly on point.The ability to choose a comfortable environment helped (ie stick with coding, AWS CLI, use the AWS GUI, or Navigator)(Student from Class 2020051117)
Actually a very good course on Full Stack machine learning. Exploring AWS ML tools(Student from Class 2020051117)
The course was great, and Sindhu and Yamuna are exceptional. There were some sound issues on the first day, but they improved for the rest of the course. Yamuna did a great job, but it would be helpful if there was more specific instruction (ie drop the word things...it doesnt help). Additionally, moving the mouse slower would help, as the students are looking at multiple things at once.(Student from Class 2020051117)
build my own projects through the course, with instructors mentoring. although add to my github portpolio(Student from Class 20200317)
instructors are available during the class to answer the questions. also really like the slack group support after class to discuss questions and homeworks projects(Student from Class 20200317)
Live sessions are effective. The last session can add more content abouat cloudwatch, how to use these information, even how/what to adjust according these output information to improve the calculation, reduce the billing.(Student from Class 20200317)
learning sagemaker and doing the project(Student from Class 20200317)
Great class, thank you! Really great having videos so we could go in later to see what we missed. Improve: adding example comparing Sagemaker forecast to ML service Forecast pointing out differences; same for vision.(Student from Class 20200317)
Walk-through on the AWS setup.(Student from Class 20200317)
Course structure is effective to learn(Student from Class 20200128)
Crisp Knowledge of the Instructors - Nisha & Sindhu did a fantastic job! Everything is great. Google Doc information has details.(Student from Class 20200128)
Good course - it delivered what it promised by my estimation. I appreciated the live instruction and I thought the instructors did an adequate job of explaining/showcasing the steps involved with navigating AWS. I felt that the explanations of ML algorithms used could have been a bit more intuitive, but as I already have a good fundamental background in ML, and felt that the AWS components were really more of the focus of the course, it wasnot a big deal.. (Douglass H. from Class 20210601)