Amazon Web Services (AWS) SageMaker is a cloud machine learning service that lets developers build, train, and deploy machine learning models quickly at any scale.
This instructor-led, live training (online or onsite) is aimed at data scientists and developers who wish to create and train machine learning models for deployment into production-ready hosting environments.
By the end of this training, participants will be able to:
Format of the Course
Course Customization Options
Overview of AWS SageMaker Features
Setting up AWS SageMaker
Familiarizing with SageMaker Studio
Preparing Data Using Jupyter Notebooks
Training a Model with SageMaker
Deploying a Model in SageMaker
Cleaning Up Resources
Summary and Conclusion
It was very interactive and more relaxed and informal than expected. We covered lots of topics in the time and the trainer was always receptive to talking more in detail or more...
The trainer was so knowledgeable and included areas I was interested in.
I genuinely liked excercises
I liked the lab exercises.
The Jupyter notebook form, in which the training material is available
There were many exercises and interesting topics.
Some great lab exercises analyzed and explained by the trainer in depth (e.g. covariants in linear regression, matching the real function)
It's just great that all material including the exercises is on the same page and then it gets updated on the fly. The solution is revealed at the end. Cool! Also, I do appreciate...
It is showing many methods with pre prepared scripts- very nicely prepared materials & easy to traceback
I like that training was focused on examples and coding. I thought that it is impossible to pack so much content into three days of training, but I was wrong. Training covered...
The trainer was a professional in the subject field and related theory with application excellently
Ewa has a passion for the subject and a huge wealth of knowledge. She impressed all of us with her knowledge and kept us all focused through the day.
Even with having to miss a day due to customer meetings, I feel I have a much clearer understanding of the processes and techniques used in Machine Learning and when I would use...
So much breadth and topics covered. I felt it was a huge subject to try and cover in 3 days - the trainer did what they could to cover everything almost exactly on time!
Adjusting to our needs
The enthusiasm to the topic. The examples he made an he explained it very well. Sympatic. A little to detailed for beginners. For managers it could be more abstract in fewer...
The trainer very easily explained difficult and advanced topics.
All like it
Communication with lecturers
like it all
Issues discussed, exercises carried out (examples), atmosphere of training, contact with the trainer, location.
I like that it focuses more on the how-to of the different text summarization methods