From the course: Understanding Generative AI in Cloud Computing: Services and Use Cases

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MLOps and cloud-based generative AI on the cloud

MLOps and cloud-based generative AI on the cloud

From the course: Understanding Generative AI in Cloud Computing: Services and Use Cases

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MLOps and cloud-based generative AI on the cloud

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- [Instructor] In the rapid evolving landscape of AI in the cloud, including generative AI in the cloud, MLOps is transforming how organizations develop, deploy, and maintain machine learning models. MLOps combines the principle of DevOps with machine learning, creating a streamlined framework that enhances collaboration between data scientists, AI engineers, and operations teams charged with maintaining these AI systems in the cloud. The journey begins with model development and training. This is where automated pipelines simplify complex processes. These include critical version control for models and data. This allows teams to track changes and experiment effectively. This automation extends to development where continuous integration, continuous development, or CI/CD practices, ensure models are quickly and reliably released into production. Once deployed, ongoing model monitoring becomes essential. A generative…

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