Welcome to the comprehensive course on building scalable microservices using Amazon Web Services (AWS). In this course, you will learn everything you need to know to design, develop, deploy, and manage microservices architecture on AWS. You will create microservices with our end-to-end hands-on labs.
Here are some of the key topics covered in this course:
Throughout this course, you will work on hands-on labs and real-world projects to reinforce your understanding of each topic. By the end of this course, you will have the skills and knowledge to architect, build, and deploy scalable microservices applications on AWS effectively.
Raghunandana Krishnamurthy is a seasoned Staff Data Engineer and MLOps expert, skilled in navigating both GCP and AWS cloud platforms to accelerate model development and deployment. His experience spans modernizing legacy data systems, architecting hybrid infrastructures, and ensuring data quality for diverse applications. He used to hold Associate AWS Solution Architect certification, Cloudera Hadoop Admin certification, Airflow certification, and Databricks Lakehouse certification
A technical leader and passionate trainer, Raghunandana excels at building and maintaining big data platforms, championing DevOps best practices, and fostering team alignment. With hands-on expertise in tools like SageMaker, VertexAI, Prometheus, Grafana, and extensive DevOps tools focusing on Data Engineering and MLOps.