Microsoft Azure is an open, flexible, enterprise-grade cloud computing platform. It provides both PaaS and IaaS services and supports many different programming languages, tools and frameworks, including both Microsoft-specific and third-party software and systems. Today, more than 80% of Fortune 500 companies use Azure to support their operations.
In this workshop, participants will build a machine learning pipeline using various Microsoft Azure tools and services. The workshop will take participants through how to plan data loads and imports, followed by data preparation such as cleaning and manipulating the data for testing, training various Machine Learning models and deploying them into a production environment.
Who Should Attend
Students, working professionals and PMETs
Mode of training: Classroom
Duration: 8 hours (1 day)
For latest course schedule, please enquire with your course consultant or simply fill up the enquiry form.
Module 1: Data Science Lifecycle & Machine Learning Introduction
Module 2: Machine Learning using Azure Machine Learning (AML) Studio
Module 3: Machine Learning using Azure Machine Learning Services
Aditya is a tech enthusiast with more than 6 years of experience across various technologies in data science, machine learning, deep learning and computer vision. He has worked across various domains including automotive, banking, retail among others. He is a true believer of ‘You got to see it work to know it works’ and sets goals towards achieving the same in any of the endeavours he undertakes. Being highly inclined towards tech, he founded Xaltius Pte. Ltd in Singapore which has a major focus on building AI and AR based products for various sectors. He also founded Code For India which specializes in delivering top notch skills in Data Science and AI as required in the industry today. He also loves to teach students and professionals Data Science and AI and does that regularly in Singapore.
Kaplan reserves the right to change trainer, in light of unforeseen circumstances.