DevOps to MLOps Bootcamp – Build & Deploy ML Systems End-to-End
English | Tutorial | Size: 2.72 GB
In this 10-hour course, you will gain in-depth knowledge and practical expertise in MLOps by learning to build and deploy end-to-end machine learning systems. The training combines development, automation, and deployment technologies to equip modern practitioners with state-of-the-art methodologies.
What I will be able to do after this course
Design and automate complete ML workflows by applying MLOps principles
Manage model experiments and tracking using tools like MLFlow and Jupyter
Build and containerize deployable ML systems using FastAPI and Docker
Automate CI/CD pipelines integrating GitHub Actions and DockerHub
Deploy, scale, and monitor infrastructure using Kubernetes and Prometheus
Course Instructor(s)
Gourav Shah is an experienced DevOps and cloud specialist with a passion for educating professionals in cutting-edge technologies. With extensive teaching experience and a keen focus on real-world applications, Gourav’s courses are crafted to both inspire and empower learners in their technical journey.
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