100% OFF [New] Ultimate Docker Bootcamp for AI/ML,MLOps Practitioners Coupon Code
100% OFF [New] Ultimate Docker Bootcamp for AI/ML,MLOps Practitioners Coupon Code
  • Promoted by: Anonymous
  • Platform: Udemy
  • Category: Other IT & Software
  • Language: English
  • Instructor: Gourav Shah . 170,000 Students , School of Devops
  • Duration: 5 hour(s) 30 minute(s)
  • Student(s): 4,008
  • Rate 4.8 Of 5 From 4 Votes
  • Expires on: 2025/06/29
  • Last Update: 2025/06/25
  • Price: 44.99 0

Master Docker for real-world AI & ML workflows — Dockerfiles, Compose, Docker Model Runner, Model Context Protocol (MCP)

Unlock your potential with a Free coupon code for the "[New] Ultimate Docker Bootcamp for AI/ML,MLOps Practitioners" course by Gourav Shah . 170,000 Students , School of Devops on Udemy. This course, boasting a 4.8-star rating from 4 reviews and with 4,008 enrolled students, provides comprehensive training in Other IT & Software.
Spanning approximately 5 hour(s) 30 minute(s) , this course is delivered in English and we updated the information on June 25, 2025.

To get your free access, find the coupon code at the end of this article. Happy learning!

Welcome to the ultimate project-based course on Docker for AI/ML Engineers.

Whether you're a machine learning enthusiast, an MLOps practitioner, or a DevOps pro supporting AI teams — this course will teach you how to harness the full power of Docker for AI/ML development, deployment, and consistency.


What’s Inside?

This course is built around hands-on labs and real projects. You'll learn by doing — containerizing notebooks, serving models with FastAPI, building ML dashboards, deploying multi-service stacks, and even running large language models (LLMs) using Dockerized environments.

Each module is a standalone project you can reuse in your job or portfolio.


What Makes This Course Different?

  • Project-based learning: Each module has a real-world use case — no fluff.

  • AI/ML Focused: Tailored for the needs of ML practitioners, not generic Docker tutorials.

  • MCP & LLM Ready: Learn how to run LLMs locally with Docker Model Runner and use Docker MCP Toolkit to get started with Model Context Protocol

  • FastAPI, Streamlit, Compose, DevContainers — all in one course.


Projects You'll Build

  • Reproducible Jupyter Scikit-learn dev environment

  • FastAPI-wrapped ML model in a Docker container

  • Streamlit dashboard for real-time ML inference

  • LLM runner using Docker Model Runner

  • Full-stack Compose setup (frontend model API)

  • CI/CD pipeline to build and push Docker images

By the end of the course, you’ll be able to:

  • Standardize your ML environments across teams

  • Deploy models with confidence — from laptop to cloud

  • Reproduce experiments in one line with Docker

  • Save time debugging “it worked on my machine” issues

  • Build a portable and scalable ML development workflow