The MLOps Playground

In this series, I dive into the landscape of MLOps tools that enable seamless integration, testing, and deployment of ML models. In addition, I explore the numerous benefits offered by various AWS cloud services specifically designed for Machine Learning lifecycles. Throughout this series, I will also delve into the complexities of designing effective model deployment architectures, while venturing into the realms of continuous delivery and automated machine learning pipelines

  • 17 Jun 2024   Why AWS Lambda with DVC is not a best choice for Data Versioning Pipeline
  • 22 Jun 2023   AWS SageMaker - Empowering Your ML Lifecycle