Udemy – [New] Ultimate Docker Bootcamp for ML, GenAI and Agentic AI 2025-7

Description

[New] Ultimate Docker Bootcamp for ML, GenAI and Agentic AI. This course is a hands-on training program designed specifically for AI professionals. Using real-world projects, this course teaches you how to fully leverage Docker to develop, deploy, and ensure consistency in ML, GenAI, and Agentic AI projects. Course content includes containerizing notebooks, serving models with FastAPI, building Streamlit dashboards, deploying multi-service stacks, and running large language models in Dockerized environments. Each module is presented as a standalone project that can be used in the workplace or as part of a personal portfolio. What makes this course stand out is its focus on the specific needs of AI/ML professionals, covering advanced topics such as running LLM models with Docker Model Runner and setting up workflows with Docker MCP Toolkit. Participants will learn how to manage containers, package models, publish to Hugging Face Spaces, work with DockerHub, and deploy applications with Docker Compose. Course outcomes include the ability to standardize development environments, reliably deploy models across platforms, reproduce tests, and create portable and scalable workflows.

What you will learn

• Run and manage Docker containers specifically tailored for AI/ML workflows.
• Containerization of Jupyter notebooks, Streamlit dashboards, and ML development environments.
• Packaging and deploying machine learning models using Dockerfile.
• Publishing ML projects on Hugging Face Spaces.
• Push and pull images from DockerHub and manage the lifecycle of Docker images.
• Apply Docker best practices for reproducible ML research and collaborative projects.
• Inference of LLM (Large Language Model) models using Docker Model Runner.
• Deploy Agentic AI workflows using the Docker Model Context Protocol (MCP) Toolkit.
• Build and deploy containerized ML applications using Docker Compose.

This course is suitable for people who:

• Data scientists and ML engineers who want to take their workflows to production.
• AI/ML professionals looking for easy containerization and deployment of models.
• DevOps engineers supporting AI teams looking to build ML-ready pipelines.
• AI enthusiasts and students who want to run LLMs or dashboards locally using containers.
• Anyone who has ever experienced the “it worked on my machine” issues in ML environments is tired.

Course details

• Publisher: Udemy
• Instructor: Gourav J. Shah , School of Devops
• Training level: Beginner to advanced
• Training duration: 6 hours and 4 minutes
• Number of lessons: 45

Course headings

Course Prerequisites [New] Ultimate Docker Bootcamp for ML GenAI and Agentic AI

• Basic understanding of Python — you don’t need to be an expert, but you should be comfortable running scripts or working in notebooks.
• Familiarity with Machine Learning concepts — knowing what a model is, and having used libraries like scikit-learn, pandas, or TensorFlow will help.
• Laptop with Docker/Rancher installed — we’ll walk you through setting up Docker Desktop for Windows, macOS, or Linux.
• A GitHub account (recommended) — for accessing project code and pushing your own.
• Curiosity to build real-world AI/ML projects with Docker — no prior Docker experience is required!

Course images

Sample course video

Download link

Downloadly

Download Part 1 – 1 GB

Download Part 2 – 1 GB

Download Part 3 – 615 MB

Rapidgator link

Download Part 1 – 1 GB

Download Part 2 – 1 GB

Download Part 3 – 615 MB

File(s) password: www.downloadly.ir

File size

2.6 GB