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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.