Udemy Mastering AI ML with Docker with 5 Real World Projects
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| Torrent Hash : | FFBAD4FA121143B6988A3A817BD348664C06E3B2 |
| Torrent Added : | at June 12, 2025, 8:21 a.m. in Other |
| Torrent Size : | 2.7 GB |
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Udemy Mastering AI ML with Docker with 5 Real World Projects
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Udemy Mastering AI ML with Docker with 5 Real World Projects
Get Bonus Downloads Here.url -
1 -Why and How Docker is important for Machine Learning Artificial Intelligence.mp4 -
2 -Why and How Docker is important for Machine Learning Artificial Intelligence.mp4 -
3 -Docker in the world of LLMs and Agentic AI.mp4 -
4 - Download the Slides Deck.html -
4 -AI-and-ML-with-Docker.pdf -
4 -Installing and validating Docker Desktop.mp4 -
5 -Setting up tools and environment for this Course.mp4 -
1 -Project - Setup ML Dev Environment with Docker - MLFlow and Jupyter.mp4 -
2 -Docker Concepts - Images, Container, Registry, Repository. Pulling Images.mp4 -
3 -Launch, Analyse and Connect to MLFlow Container.mp4 -
4 -Container Operations - Common options, Detaching, Listing, Managing Containers.mp4 -
5 -Launch JupyterLabs Notebook Envioronment with a Volume shared with Host.mp4 -
6 -Writing and executing a simple ML Project with Container Hosted Jupyter Notebook.mp4 -
7 -Connect Notebook with MLFlow Container for Experiment Tracking.mp4 -
8 - Project Guide -Build it Yourself.html -
8 -📘 Project 1 Running ML Containers like JupyterLabs and MLFlow with Docker.pdf -
1 -Project Nebula - Containerize Tech Stack Advisor ML App and Host it on Hugging F.mp4 -
2 - Mission Statement.html -
2 -Build and test the ML Project and Train the Model.mp4 -
3 -Why and how to build Container Images Manually First.mp4 -
4 -Building a container image step by step using the Imperative Approach.mp4 -
5 -Buidling and Testing the Image using Dockerfile.mp4 -
6 -Analysing, Tagging and Publishing Container Images.mp4 -
7 -How to write Dockerfile Instructions Quick Dive.mp4 -
8 -Deploy and Host Containerized App to Hugging Face Spaces.mp4 -
9 - Project Guide -Build it Yourself.html -
9 -🚀 Project Tech Stack Advisor — ML-Powered Stack Recommendation App.pdf -
1 -Project - Build and Deploy House Price Predictions ML App in Dev with Docker Co.mp4 -
2 - Mission Statement.html -
2 -Understanding the Application Stack and the ML Workflow.mp4 -
3 -Automate MLFlow Launch with Code by writing Compose Spec , Learn Compose Syntax.mp4 -
4 -Run the Data Processing, Feature Engineering and Model Training Pipeline for Hou.mp4 -
5 -Composing FastAPI and Streamlit Apps with Multi Service Compose Spec.mp4 -
6 -Connecting Services using DNS Based Service Discovery offered by Docker Compose.mp4 -
7 - Project Guide - Build it Yourself.html -
1 -Project - Integrate LocalGPT App with Locally Running LLM using Docker Model Run.mp4 -
2 - Mission Statement.html -
2 -What is Docker Model Runner How to Set it up with Docker Desktop.mp4 -
3 -Exploring Docker Model Runner - Pull a LLM Model from Gen AI Catalogue and Run i.mp4 -
4 -Lanching LocalGPT App with Docker Model Runner with OpenAI Compatible Connection.mp4 -
5 -Configuring Docker Model Runner as a Provider to Compose.mp4 -
1 -Project - Explore Docker MCP Toolkit.mp4 -
2 - Mission Statement.html -
2 -What is Model Context Protocol (MCP) and how it sets the foundation for Agentic.mp4 -
3 -Getting started with Docker MCP Toolkit and MCP Catalogue with Gordon AI.mp4 -
4 -Using Filesystem MCP Server.mp4 -
5 -Securely connecting to GitHub MCP Server and using Read Only Access.mp4 -
6 -Auto generating Code, Revision Controlling it and Pushing it toGitHub with MCP S.mp4 -
Bonus Resources.txt -
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Get Bonus Downloads Here.url -
180 bytes
1 -Why and How Docker is important for Machine Learning Artificial Intelligence.mp4 -
68.5 MB
2 -Why and How Docker is important for Machine Learning Artificial Intelligence.mp4 -
46.8 MB
3 -Docker in the world of LLMs and Agentic AI.mp4 -
46.9 MB
4 - Download the Slides Deck.html -
33 bytes
4 -AI-and-ML-with-Docker.pdf -
3.9 MB
4 -Installing and validating Docker Desktop.mp4 -
71.4 MB
5 -Setting up tools and environment for this Course.mp4 -
43.0 MB
1 -Project - Setup ML Dev Environment with Docker - MLFlow and Jupyter.mp4 -
40.1 MB
2 -Docker Concepts - Images, Container, Registry, Repository. Pulling Images.mp4 -
72.8 MB
3 -Launch, Analyse and Connect to MLFlow Container.mp4 -
62.4 MB
4 -Container Operations - Common options, Detaching, Listing, Managing Containers.mp4 -
107.7 MB
5 -Launch JupyterLabs Notebook Envioronment with a Volume shared with Host.mp4 -
69.5 MB
6 -Writing and executing a simple ML Project with Container Hosted Jupyter Notebook.mp4 -
106.3 MB
7 -Connect Notebook with MLFlow Container for Experiment Tracking.mp4 -
87.5 MB
8 - Project Guide -Build it Yourself.html -
12.0 KB
8 -📘 Project 1 Running ML Containers like JupyterLabs and MLFlow with Docker.pdf -
850.1 KB
1 -Project Nebula - Containerize Tech Stack Advisor ML App and Host it on Hugging F.mp4 -
37.5 MB
2 - Mission Statement.html -
9.1 KB
2 -Build and test the ML Project and Train the Model.mp4 -
88.3 MB
3 -Why and how to build Container Images Manually First.mp4 -
37.1 MB
4 -Building a container image step by step using the Imperative Approach.mp4 -
96.5 MB
5 -Buidling and Testing the Image using Dockerfile.mp4 -
63.6 MB
6 -Analysing, Tagging and Publishing Container Images.mp4 -
79.8 MB
7 -How to write Dockerfile Instructions Quick Dive.mp4 -
107.0 MB
8 -Deploy and Host Containerized App to Hugging Face Spaces.mp4 -
83.1 MB
9 - Project Guide -Build it Yourself.html -
9.1 KB
9 -🚀 Project Tech Stack Advisor — ML-Powered Stack Recommendation App.pdf -
588.9 KB
1 -Project - Build and Deploy House Price Predictions ML App in Dev with Docker Co.mp4 -
48.6 MB
2 - Mission Statement.html -
4.8 KB
2 -Understanding the Application Stack and the ML Workflow.mp4 -
70.0 MB
3 -Automate MLFlow Launch with Code by writing Compose Spec , Learn Compose Syntax.mp4 -
90.1 MB
4 -Run the Data Processing, Feature Engineering and Model Training Pipeline for Hou.mp4 -
95.8 MB
5 -Composing FastAPI and Streamlit Apps with Multi Service Compose Spec.mp4 -
121.9 MB
6 -Connecting Services using DNS Based Service Discovery offered by Docker Compose.mp4 -
91.1 MB
7 - Project Guide - Build it Yourself.html -
6.5 KB
1 -Project - Integrate LocalGPT App with Locally Running LLM using Docker Model Run.mp4 -
31.5 MB
2 - Mission Statement.html -
4.3 KB
2 -What is Docker Model Runner How to Set it up with Docker Desktop.mp4 -
41.5 MB
3 -Exploring Docker Model Runner - Pull a LLM Model from Gen AI Catalogue and Run i.mp4 -
112.5 MB
4 -Lanching LocalGPT App with Docker Model Runner with OpenAI Compatible Connection.mp4 -
75.7 MB
5 -Configuring Docker Model Runner as a Provider to Compose.mp4 -
112.7 MB
1 -Project - Explore Docker MCP Toolkit.mp4 -
23.7 MB
2 - Mission Statement.html -
3.3 KB
2 -What is Model Context Protocol (MCP) and how it sets the foundation for Agentic.mp4 -
68.7 MB
3 -Getting started with Docker MCP Toolkit and MCP Catalogue with Gordon AI.mp4 -
84.6 MB
4 -Using Filesystem MCP Server.mp4 -
51.5 MB
5 -Securely connecting to GitHub MCP Server and using Read Only Access.mp4 -
103.4 MB
6 -Auto generating Code, Revision Controlling it and Pushing it toGitHub with MCP S.mp4 -
77.0 MB
Bonus Resources.txt -
70 bytes
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