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Udemy Mastering AI ML with Docker with 5 Real World Projects

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Files:
  1. Get Bonus Downloads Here.url 180 bytes
  2. 1 -Why and How Docker is important for Machine Learning Artificial Intelligence.mp4 68.5 MB
  3. 2 -Why and How Docker is important for Machine Learning Artificial Intelligence.mp4 46.8 MB
  4. 3 -Docker in the world of LLMs and Agentic AI.mp4 46.9 MB
  5. 4 - Download the Slides Deck.html 33 bytes
  6. 4 -AI-and-ML-with-Docker.pdf 3.9 MB
  7. 4 -Installing and validating Docker Desktop.mp4 71.4 MB
  8. 5 -Setting up tools and environment for this Course.mp4 43.0 MB
  9. 1 -Project - Setup ML Dev Environment with Docker - MLFlow and Jupyter.mp4 40.1 MB
  10. 2 -Docker Concepts - Images, Container, Registry, Repository. Pulling Images.mp4 72.8 MB
  11. 3 -Launch, Analyse and Connect to MLFlow Container.mp4 62.4 MB
  12. 4 -Container Operations - Common options, Detaching, Listing, Managing Containers.mp4 107.7 MB
  13. 5 -Launch JupyterLabs Notebook Envioronment with a Volume shared with Host.mp4 69.5 MB
  14. 6 -Writing and executing a simple ML Project with Container Hosted Jupyter Notebook.mp4 106.3 MB
  15. 7 -Connect Notebook with MLFlow Container for Experiment Tracking.mp4 87.5 MB
  16. 8 - Project Guide -Build it Yourself.html 12.0 KB
  17. 8 -📘 Project 1 Running ML Containers like JupyterLabs and MLFlow with Docker.pdf 850.1 KB
  18. 1 -Project Nebula - Containerize Tech Stack Advisor ML App and Host it on Hugging F.mp4 37.5 MB
  19. 2 - Mission Statement.html 9.1 KB
  20. 2 -Build and test the ML Project and Train the Model.mp4 88.3 MB
  21. 3 -Why and how to build Container Images Manually First.mp4 37.1 MB
  22. 4 -Building a container image step by step using the Imperative Approach.mp4 96.5 MB
  23. 5 -Buidling and Testing the Image using Dockerfile.mp4 63.6 MB
  24. 6 -Analysing, Tagging and Publishing Container Images.mp4 79.8 MB
  25. 7 -How to write Dockerfile Instructions Quick Dive.mp4 107.0 MB
  26. 8 -Deploy and Host Containerized App to Hugging Face Spaces.mp4 83.1 MB
  27. 9 - Project Guide -Build it Yourself.html 9.1 KB
  28. 9 -🚀 Project Tech Stack Advisor — ML-Powered Stack Recommendation App.pdf 588.9 KB
  29. 1 -Project - Build and Deploy House Price Predictions ML App in Dev with Docker Co.mp4 48.6 MB
  30. 2 - Mission Statement.html 4.8 KB
  31. 2 -Understanding the Application Stack and the ML Workflow.mp4 70.0 MB
  32. 3 -Automate MLFlow Launch with Code by writing Compose Spec , Learn Compose Syntax.mp4 90.1 MB
  33. 4 -Run the Data Processing, Feature Engineering and Model Training Pipeline for Hou.mp4 95.8 MB
  34. 5 -Composing FastAPI and Streamlit Apps with Multi Service Compose Spec.mp4 121.9 MB
  35. 6 -Connecting Services using DNS Based Service Discovery offered by Docker Compose.mp4 91.1 MB
  36. 7 - Project Guide - Build it Yourself.html 6.5 KB
  37. 1 -Project - Integrate LocalGPT App with Locally Running LLM using Docker Model Run.mp4 31.5 MB
  38. 2 - Mission Statement.html 4.3 KB
  39. 2 -What is Docker Model Runner How to Set it up with Docker Desktop.mp4 41.5 MB
  40. 3 -Exploring Docker Model Runner - Pull a LLM Model from Gen AI Catalogue and Run i.mp4 112.5 MB
  41. 4 -Lanching LocalGPT App with Docker Model Runner with OpenAI Compatible Connection.mp4 75.7 MB
  42. 5 -Configuring Docker Model Runner as a Provider to Compose.mp4 112.7 MB
  43. 1 -Project - Explore Docker MCP Toolkit.mp4 23.7 MB
  44. 2 - Mission Statement.html 3.3 KB
  45. 2 -What is Model Context Protocol (MCP) and how it sets the foundation for Agentic.mp4 68.7 MB
  46. 3 -Getting started with Docker MCP Toolkit and MCP Catalogue with Gordon AI.mp4 84.6 MB
  47. 4 -Using Filesystem MCP Server.mp4 51.5 MB
  48. 5 -Securely connecting to GitHub MCP Server and using Read Only Access.mp4 103.4 MB
  49. 6 -Auto generating Code, Revision Controlling it and Pushing it toGitHub with MCP S.mp4 77.0 MB
  50. Bonus Resources.txt 70 bytes

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