...covered with foundations, projects, and real-world insights.

Daily Dose of DS offers a daily dose of inspiration, education, and motivation for data scientists and aspiring data professionals. Through bite-sized articles, tutorials, and curated resources, readers embark on a journey to master the art and science of data analysis, machine learning, and artificial intelligence. By staying updated with the latest trends, techniques, and tools in data science, readers can hone their skills and stay ahead in this rapidly evolving field.

Daily Dose of Data Science | Avi Chawla | Substack

MLOps extends beyond model training to encompass the entire production ML system lifecycle, including data pipelines, deployment, monitoring, and infrastructure management. The crash course covers foundational concepts like why MLOps matters, differences from traditional DevOps, and system-level concerns, followed by hands-on implementation of the complete ML workflow from training to API deployment. MLOps applies software engineering and DevOps practices to manage the complex infrastructure surrounding ML code, ensuring reliable delivery of ML-driven features at scale.

The Full MLOps/LLMOps Blueprint