Docker for AI/MLDocker for AI/ML

In this 5-hour course, you will master Docker for AI/ML development, deployment, and maintenance. The course begins with an introduction to Docker's significance in machine learning and AI, demonstrating how containers provide reproducibility and scalability. You will set up Docker environments to run ML tools, including Jupyter, MLFlow, and more, preparing you for tasks like packaging models and deploying them on production systems. What I will be able to do after this course Set up reproducible ML environments using Docker containers Containerize ML models and deploy them on production systems Integrate Docker with MLFlow, Jupyter, and FastAPI for workflows Build full-stack ML applications with Docker Compose and services Run large language models locally using Docker Model Runner Course Instructor(s) Gourav Shah, a premium instructor with 65,000+ students, has 15+ years of experience in building and automating systems at scale. He is the founder of Initcron and has conducted over 300 corporate workshops internationally. Gourav has also created courses for the Linux Foundation and eDX. Who is it for? This course is ideal for Data Scientists, ML Engineers, DevOps Engineers, and AI/ML practitioners looking to containerize and deploy models. It is also suitable for hobbyists and learners seeking to run LLMs or dashboards locally with Docker.