Overview
This comprehensive course immerses you in Microsoft Azure's AI and Machine Learning services, offering valuable hands-on experience. Develop the skills to set up, manage, and troubleshoot Azure-based AI & ML workflows. The curriculum addresses the entire ML lifecycle in Azure, spanning from data preparation to model deployment and monitoring.
Course Outcomes:
- Configure and manage Azure resources for AI & ML projects.
- Implement complete ML pipelines through Azure services.
- Deploy and supervise ML models within Azure production settings.
- Identify and resolve common Azure AI & ML workflow issues.
To excel in this course, prior knowledge in Python programming is essential. Experience with AI & ML infrastructure, understanding of core algorithms and techniques, and design and implementation of advanced troubleshooting agents are required. A background in statistics is also suggested.
