COMMUNICATION
Data & AI Hackathon Discord channel
https://discord.gg/XvdYXJXhK5
Text channels:
General - important information will be posted here
Introduction - use this channel to introduce yourself
Looking for a team - a place to find and meet new team members
Challenges - this is your place to discuss Microsoft Azure Data & AI Cloud Skill Challenges
Mentors - post any questions for our mentors here
Selfie - share photos of your team
Voice channels:
General - general chat with other hackathon participants
Meeting rooms - meet here with your team members or mentors
MICROSOFT SERVICES
To try out capabilities of Microsoft AI platform and get ideas for your solution, go to:
https://aidemos.microsoft.com/
Azure:
https://portal.azure.com/
MENTORS
If you have any questions or need help while working on your project solution, feel free to contact our mentors, either on the location at GroupM or online, on Devpost.

MENTORS SCHEDULE AND AVAILABILITY
| MENTORS | SATURDAY, 18/9/2021 | SUNDAY, 19/9/2021 |
| Ali Reza Farahnak | 10:00 - 16:00 | |
| Søren Delövenbo Kongstad | 11:00 - 12:30 13:30 - 16:00 |
9:00 - 10:00 14:00 - 16:00 |
| Fabian van den Berg Nico van Engelenhoven |
9:00 - 11:30 12:30 - 16:00 |
LEARNING
No experience with Data & AI? No problem.
All the knowledge needed to create prototypes for the hackathon case can be gained by completing the following Microsoft Azure Cloud Skill Challenges:
Data (8 modules, 3 hr 43 min)
https://aka.ms/csc/data-challenge
Azure storage (9 modules, 4 hr 35 min)
https://aka.ms/csc/storage-challenge
AI (14 modules, 9 hr 49 min)
https://aka.ms/csc/ai-challenge
Challenge materials and services needed to complete them are accessible until 31.8.2021. By completing the challenges, participants gain experience, achievements and trophies on their Microsoft Learn account and become eligible to win additional prizes from Microsoft (goodie boxes).
While the challenges will not be active in September, learning materials will still remain accessible, so you can continue learning and gaining skills needed to create innovative solutions for the case presented at Data & AI Hackathon.
