Overview
Azure AI Cloud Developers contribute to all phases of implementing AI solutions on Azure, with an emphasis on back-end services and components. They are responsible for supporting all phases of the development lifecycle, including requirements gathering, design, development, deployment, security, and monitoring.
Certification
“It’s not the certificate that matters the most but preparing for the Industry”
- Participation certificate for all the attendees.
- Deserving performers will be awarded Merit certificates.
- Participants will receive the certificate with a unique code which can be verified online.
- Internship opportunity on Course Completion
Prerequisite
- Fundamental proficiency in app containerization.
- Fundamental proficiency in Azure data services.
- Fundamental proficiency in AI agents and models.
Eligibility
- Cloud Security Engineers and Security Administrators
- Microsoft Azure Administrators and Cloud Engineers
- Identity and Access Management (IAM) Professionals
- Cybersecurity and Network Security Professionals
- IT Infrastructure and Systems Administrators
Topics to be covered on this course
- Learning path 01: Implement container application hosting on Azure
- Learning path 02: Deploy and manage apps on Azure Container Apps
- Learning path 03: Deploy and monitor applications on Azure Kubernetes Service
- Learning path 04: Develop AI solutions with Azure Cosmos DB for NoSQL
- Learning path 05: Develop AI solutions with Azure Database for PostgreSQL
- Learning path 06: Enhance AI solutions with Azure Managed Redis
- Learning path 07: Integrate backend services for AI solutions
- Learning path 08: Manage application secrets and configuration for AI solutions
- Learning path 09: Observe and troubleshoot apps on Azure