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Learn how to write a good research question for a paper. Narrow your topic, identify a research problem, and create a focused question with practical examples.
Johns Hopkins University 3 credits Information Systems Engineering
This course provides a comprehensive exploration of Artificial Intelligence (AI) and Machine Learning (ML) Operations (AI/ML Ops), focusing on their integration with operations and IT practices. Students will learn foundational AI/ML Ops concepts, including frameworks for building and deploying AI/ML models, infrastructure optimization for machine learning, effective data management, and strategies for successfully adopting AI within organizations. The curriculum emphasizes key areas such as model training and deployment, the stages and features of AI/ML Ops, preparing for production environments, and ensuring robust security and governance. Emerging trends in AI/ML Ops and practical, real-world applications are also discussed. By the course’s conclusion, students will be well-prepared to design and implement a tailored MLOps strategy to meet organizational needs.
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Learn how to write a good research question for a paper. Narrow your topic, identify a research problem, and create a focused question with practical examples.
Learn how to choose a research topic you can actually research. Discover how to narrow broad ideas, find reliable sources, and develop a focused research question.
Learn how to cite sources in a research paper using APA, MLA, and Chicago styles, with in-text citation examples and reference-list tips.