Building Machine Learning models takes knowledge, experience, and a lot of time. Sometimes different persona such as Business Analysts or other technocrats who do not have experience with ML might have a ML use-case that they may want to address, but lack the expertise to do so. Even ML engineers and Data Scientists who have ML experience may want a model built quickly. This brings us to the domain of AutoML. Nowadays we're seeing a plethora of AutoML solutions from open source APIs to individual services/platforms geared for automating the ML space.

This AWS SageMaker 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 AWS SageMaker 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 ML professionals 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 AWS Free 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.

With classic rock tunes playing, Adam Selipsky took the stage for his first re:Invent keynote as the new CEO of AWS, the $60-billion cloud juggernaut that was founded just 15 years ago. This was the first re:Invent without Andy Jassy, the charismatic leader who creatively used rock lyrics to tell product stories at past shows. The rock was still there, and product announcements abounded, but it's clear Selipsky is charting his own path forward as the head of AWS. Selipsky was one of Jassy's top lieutenants before he left five years ago to head up another Seattle, Washington-area mainstay in the big data world, Tableau Software, so he's very familiar with the company he's now charged with growing. From his perspective, the growth of cloud computing over the years has been astounding.