This course provides hands-on experience with Microsoft Azure's AI and ML services. You will learn to set up, manage, and troubleshoot Azure-based AI & ML workflows. The course covers the entire ML lifecycle in Azure, from data preparation to model deployment and monitoring.
By the end of this course, you will be able to:
1. Configure and manage Azure resources for AI & ML projects.
2. Implement end-to-end ML pipelines using Azure services.
3. Deploy and monitor ML models in Azure production environments.
4. Troubleshoot common issues in Azure AI & ML workflows.
To be successful in this course, you should have intermediate programming knowledge of Python, plus experience with AI & ML infrastructure, core AI & ML algorithms and techniques, and the design and implementation of intelligent troubleshooting agents. Familiarity with statistics is also recommended.
This module provides a comprehensive guide to setting up and managing Azure resources specifically tailored for AI and ML projects. As organizations increasingly leverage Azure's cloud infrastructure to build and deploy AI/ML solutions, understanding how to configure and manage these resources effi…
This module delves into the intricacies of building and managing comprehensive data workflows and ML processes on Azure. The module covers the end-to-end process of ingesting data, preprocessing it, training ML models, and overseeing the training life cycle. Learners will gain hands-on experience w…
This module focuses on the critical aspects of deploying, managing, and monitoring ML models within Azure production environments. This module provides a detailed exploration of best practices for model deployment, continuous integration and delivery (CI/CD), version control, and performance monito…
This module focuses on the essential skills needed to troubleshoot, diagnose, and optimize AI and ML pipelines in Azure. The module covers the identification and resolution of common issues in Azure AI/ML workflows, systematic troubleshooting methods, effective use of diagnostic tools, and the impl…
This module provides a deep dive into practical strategies for addressing Azure issues, securing environments, and preparing for future software integrations. The module focuses on examining real-world use cases, understanding the ramifications of unsecured environments, and leveraging Azure docume…
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Microsoft is in Tier 2: excellent universities and the companies that build the technology of our institution ranking (86/100).
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