Azure AI/ML Day
18 September 2022

Azure AI/ML Day

Location

online
Microsoft Campus, Gurugram

Speaker

2 Professional
Speakers

Days:

1 Day

About

Azure Developer Community brings you, Microsoft Azure, AI/ML Day that brings together the global AI ecosystem in an interactive conference format. Learn from experts how Azure AI and the evolution of the Internet are profoundly impacting industries—and society as a whole. AI/ML Day is an event that deliberates on how artificial intelligence will affect the future of business and society. The event will provide an opportunity to learn about the latest innovations, hear from the world’s leading experts, and network with top business decision-makers and leaders. Participants will be exposed to the latest AI innovation and learn from the greatest minds during this conference and training event. The attendees can learn about cutting-edge technical developments, ground-breaking solutions, and research programs addressing the world’s most pressing problems.


Location:- Microsoft Gurugram

Event Sponsors

Benefits

  • Networking- Social & Professional
  • Brand building
  • Understanding Industry Trends
  • Knowledge Sharing
  • Continuous Learning
  • Microsoft Merchandise

Azure AI/ML Day

Date: 18 September
Timing: 12:00 PM - 12:30 PM
Location: online
Microsoft Campus, Gurugram
Speaker: 2 Professional
Speakers
Days: 1 Day

Speakers

Sarbani Mait
Sarbani Mait
Vice President Data Science, Veersa Technologies
Kalyan Kuramana
Kalyan Kuramana
Forbes Asia 30 Under 30 | Founder@Mrikal(Stealth)

Schedule

12:40 PM - 3:00 AM
Introduction Azure Machine Learning techniques

  • Jupytyer Notebook
  • Azure ML -python SDK
  • Azure ML Studio
  • Hands on Lab
    • Create a workspace.
    • Create a cloud-based compute instance to use for your development environment.
    • Create a cloud-based compute cluster to use for training your model.
    • Connect to your Azure ML workspace
    • Create Azure ML data assets
    • Create reusable Azure ML components
    • Create, validate and run Azure ML pipelines
    • Deploy the newly-trained model as an endpoint
    • Call the Azure ML endpoint for inferencing




Prerequisites:
Basic to intermediate Machine learning Knowledge
Must be aware of Azure Cloud concept & generic storage, workspace, resources concept

Sarbani Mait

Vice President Data Science, Veersa Technologies

12:00 PM - 12:30 PM
"Confluence of Problem Solving and Technology"

Kalyan Kuramana

Forbes Asia 30 Under 30 | Founder@Mrikal(Stealth)