{"id":978,"date":"2026-02-16T06:57:15","date_gmt":"2026-02-16T06:57:15","guid":{"rendered":"https:\/\/blog.gtracademy.org\/?p=978"},"modified":"2026-02-16T06:57:17","modified_gmt":"2026-02-16T06:57:17","slug":"mlops-in-online-msc-data-science-and-ai","status":"publish","type":"post","link":"https:\/\/gtracademy.org\/blog\/mlops-in-online-msc-data-science-and-ai\/","title":{"rendered":"ML Ops in Online MSc Data Science and AI"},"content":{"rendered":"\n
When most people think of an online course in data science and AI, they imagine machine learning models, cool dashboards, and maybe even some deep learning magic. They picture someone training a model in a notebook and getting it right 95% of the time. And that feels like success.<\/p>\n\n\n\n
But here\u2019s the truth from someone who has seen students struggle with real projects: building a model is only half the work.<\/p>\n\n\n\n
After that, the real challenge begins:<\/strong><\/p>\n\n\n\n
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How do you deploy it?<\/li>\n\n\n\n
How do you monitor it?<\/li>\n\n\n\n
What happens when the data changes next month?<\/li>\n<\/ul>\n\n\n\n
![\"Data](\"https:\/\/blog.gtracademy.org\/wp-content\/uploads\/2026\/02\/GTR-1-2-1024x576.webp\")
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