This AWSSageMaker Canvas Course will help you to become a Machine Learning Expert and will enhance your skills by offering you comprehensive knowledge, and the required hands-on experience on this newly launched Cloud based ML tool, by solving real-time industry-based projects, without needing any complex coding expertise.
Top Reasons why you should learn AWSSageMaker Canvas :
AWS is the #1 cloud based tool used industry wide for Machine Learning Projects.
You do not need Advanced Coding expertise generally required in the field of Machine Learning.
Complex knowledge of Statistics, Algorithms, Mathematics that is difficult to master is also not required.
Machine Learning Models that usually takes many days to build, are available very quickly in just a few minutes.
The demand for MLprofessionals is on the rise. This is one of the most sought-after profession currently in the lines of Data Science.
There are multiple opportunities across the Globe for everyone with Machine Learning skills.
SageMaker Canvas has a small learning curve and you can pick up even advanced concepts very quickly.
This Tool is available as a part of AWSFree Tier.
You do not need high configuration computer to learn this tool. All you need is any system with internet connectivity.
Top Reasons why you should choose this Course :
This course is designed keeping in mind the students from all backgrounds - hence we cover everything from basics, and gradually progress towards advanced topics.
We take live Industry Projects and do each and every step from start to end in the course itself.
This course can be completed in a Day !
All Doubts will be answered.
Most Importantly, Guidance is offered beyond the Tool - You will not only learn the Software, but important Machine Learning principles. Also, I will share the resources where to get the best possible help from, &also the sources to get public datasets to work on to get mastery in the ML domain.
A Verifiable Certificate of Completion is presented to all students who undertake this AWS SageMaker Canvas course.
