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Microsoft

Advanced AI and Machine Learning Techniques and Capstone

This course explores advanced AI & ML techniques, ending with a comprehensive capstone project. You will learn about cutting-edge ML methods, ethical considerations in GenAI, and strategies for building scalable AI systems. The capstone project allows students to apply all their learned skills to solve a real-world problem. By the end of this course, you will be able to: 1. Implement advanced ML techniques such as ensemble methods and transfer learning. 2. Analyze ethical implications and develop strategies for responsible AI. 3. Design scalable AI & ML systems for high-performance scenarios. 4. Develop and present a comprehensive AI & ML solution addressing a real-world problem. 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, the design and implementation of intelligent troubleshooting agents, and Microsoft Azure’s AI & ML services. Familiarity with statistics is also recommended.

Status: Artificial Intelligence and Machine Learning (AI/ML)
Status: Transfer Learning
IntermediateCourse33 hours

Featured reviews

RL

5.0Reviewed Feb 11, 2026

Great course for intermediate enthusiast, teaches various technique; intro to MS Azure platform and also teach about ML/AI engineer tasks

All reviews

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Ritik Parihar
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Reviewed Jul 19, 2025