🔥PGP in Generative AI and ML in collaboration with Illinois Tech:
🔥Generative AI Course: Masters Program:
🔥 MLOps Certification Course:
In this comprehensive course on *What is MLOps*, participants will gain a strong foundational understanding of the principles and practices that bridge the gap between machine learning development and real-world operations. The course begins with an in-depth overview of MLOps, emphasizing its critical role in streamlining collaboration between data science and IT operations to enable the seamless deployment of machine learning models at scale. From there, learners will explore the **Key Components of MLOps**, uncovering the essential building blocks such as version control, CI/CD pipelines, model tracking, and reproducibility. The curriculum then delves into the **MLOps Lifecycle**, walking through each stage—from data preparation and model training to deployment, monitoring, and continuous improvement—illustrating how to manage ML models effectively in production environments. To empower practical implementation, the course introduces popular **Tools & Frameworks** like MLflow, Kubeflow, TFX, and others that are transforming the automation and scalability of ML workflows. Finally, the course addresses the **Challenges and Real-World Hurdles** in adopting MLOps, offering actionable strategies to overcome issues such as data drift, model degradation, and infrastructure bottlenecks.
00:00:00 Introduction
00:01:44 What is MLOps?
00:13:45
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