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Microsoft Azure for AI and Machine Learning
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.
Duration
3 Months
Institution
Microsoft
Format
Online
Eligibility Criteria
school
Academic Foundation
A recognized Bachelor’s degree or high school equivalent required for admission into Microsoft.
language
Language Proficiency
English proficiency required. IELTS, TOEFL, or standard medium-of-instruction certificates accepted.
Detailed Fees Breakdown
Base Tuition Fee
$304
Total Est. Investment
$304
Scholarships and early-bird waivers may apply. Contact admissions for exact institutional fees.
Academic Trajectory
Program Outcome
Graduates of the Microsoft Azure for AI and Machine Learning program at Microsoft are equipped with global perspectives, ready to excel in international markets and top-tier career opportunities.