Innovate with AI Bootcamp

Join us at the free Skills Bootcamp to discover how Microsoft Azure can allow you to embrace the technology you trust. Come along to master new skills, stay ahead of the pack and explore the amazing things we’re working on with the open source community.

Attend one session or many, with a range of skill levels and learning options on offer. Plus, you can access an additional week of free, instructor-led training to help you take the next step on your skilling journey.

Power Your AI Transformation with the Microsoft Cloud

Tuesday, 16 January 2024 | India: 9:00 AM – 10:00 AM IST (GTM +5:30) Hong Kong: 11:30 AM – 12:30 PM HKT (GMT +8)

The pace and scale of technological innovation happening today is unprecedented and it breathes optimism into our demanding economy. Those leveraging the Microsoft Cloud — the most trusted, comprehensive, and integrated cloud — are best positioned to take advantage of these advancements. Join us to learn how we can help you leverage generative AI as an accelerant to your transformation.

Analytics In The Era Of AI

Tuesday, 16 January 2024 | India: 10:00 AM – 11:00 AM IST (GTM +5:30) Hong Kong: 12:30 PM – 1:30 PM HKT (GMT +8)

In this session, Prerita Mehta, Azure AI Product Lead, will explore how Microsoft Fabric can tackle these challenges by providing a unified intelligent data foundation for all analytics workloads. You'll discover:

How to empower every business user
How AI drives intelligent insights with Copilot and ChatGPT
How you can get hands on with Microsoft Fabric at your own pace

Building AI Responsibly

Tuesday, 16 January 2023 |India: 11:00 AM – 12:00 PM IST (GTM +5:30) Hong Kong: 1:30 PM – 2:30 PM HKT (GMT +8)

During the session, we’ll explore:

See the responsible AI principles in practice through live technical demonstrations showcasing the latest capabilities of AI. Through these demonstrations, you will witness first-hand how AI can be leveraged to address complex challenges.
The AI principles that guide responsible development and deployment.
How to ensure privacy and data protection in AI applications.
Building trustworthy, transparent and accountable AI models.