Nigeria Microsoft Azure Meetup Group

Are you ready to take your data skills to the next level? Join us for an insightful training session on Mastering Relational Data with Azure SQL - a must-attend for aspiring data professionals, analysts, and developers working in cloud environments!

In this session, we will dive deep into how Azure SQL empowers modern organisations to manage, query, and scale their relational data in the cloud. Whether you are transitioning from on-premises SQL Server or starting your journey with cloud-native databases, this session will equip you with the knowledge and skills to harness the full potential of Azure SQL Database and Azure SQL Managed Instance.

What You Will Learn:
- Introduction to Azure SQL and its key features
- Understanding database deployment options: Single Database, Elastic Pool, and Managed Instance
- Best practices for designing relational schemas in Azure SQL
- Writing and optimising SQL queries in the cloud
- Securing your database using built-in tools like Advanced Threat Protection and Transparent Data Encryption (TDE)
- Backup, restore, and high availability strategies in Azure
- Integration with other Azure services (e.g., Power BI, Data Factory)

Who Should Attend:
- Data Analysts
- Database Administrators (DBAs)
- Developers working with SQL
- Cloud Engineers
- Anyone looking to build career skills in Azure Data Services

Don't miss this opportunity to boost your cloud data management skills and become a pro in relational data with Azure SQL!

Global Azure is the worldwide community event for IT professionals, developers, and tech enthusiasts who want to learn more about Microsoft Azure and enhance their cloud skills.

This year's Global Azure will focus on AI, DevOps, infrastructure, and security.

Please register to join us to learn and boost your cloud skills in the age of AI.

Lineup sessions:

1. Defender for Cloud: A Security tool for your workloads
   by Emmanuel Itoje
2. The Autonomous Cloud: Building Self-Healing, AI-Driven Infrastructure on Azure - by Seye Olofinyo
3. Community Leaders’ Roundtable Chat Session on the Future of AI - by Community Leaders.

Getting started with AI agents on Microsoft Azure involves utilizing Azure's robust suite of AI services, such as Azure Cognitive Services and the Azure Bot Service, to create intelligent applications.
First, you need to set up an Azure account to access these tools, which facilitate the development of capabilities like natural language processing and machine learning.
By leveraging the Azure Bot Framework SDK, you can build chatbots that interact with users across various platforms while integrating APIs from Azure Cognitive Services to enhance functionality.
Once your AI agent is developed, you can test and deploy it on channels like Microsoft Teams and web applications, and use Azure's monitoring tools to analyze performance and make improvements over time.
This approach empowers you to create dynamic and responsive AI-driven solutions tailored to user needs.