MLOps Masterclass - Theory to DevOps to Cloud-Native to AutoML
Dive into a comprehensive masterclass on MLOps, covering the journey from theory to practical implementation. Explore the evolution of data science, the importance of DevOps in MLOps, and the role of cloud-native technologies and AutoML. Learn about key MLOps concepts, including continuous delivery, platform automation, and feedback loops. Discover various MLOps use cases, investment strategies in technology, and leading cloud platforms. Gain insights into essential certifications, distributed systems, and popular MLOps tools like Kubernetes, SageMaker, and Vertex AI. Follow hands-on demonstrations of creating GitHub repositories, setting up CI/CD pipelines, and deploying microservices using AWS services. Compare different MLOps platforms and explore open-source solutions. Perfect for data scientists, engineers, and professionals looking to master the intricacies of operationalizing machine learning in modern cloud environments.