Ultimate MLOps Full Course in One Video 🔥

🚀 Welcome to the Ultimate MLOps Full Course in One Video (12 Hours) Master Machine Learning Operations (MLOps) with this comprehensive 12-hour crash course. Designed for data scientists, ML engineers, DevOps professionals, and AI enthusiasts, this course covers everything from model building to deployment using modern MLOps tools and practices. 🔍 What You'll Learn: 👉🏻Introduction to MLOps and its importance 👉🏻End-to-End ML pipeline setup 👉🏻ML Pipeline Management using DVC 👉🏻CI/CD for ML with GitHub Actions, Circle CI & Jenkins 👉🏻Containerization using Docker 👉🏻Orchestration with Kubernetes 👉🏻Model tracking & registration with MLflow 👉🏻Model deployment using FastAPI, Flask, and more 👉🏻Monitoring and logging 👉🏻Amazon Sagemekaer 👉🏻Cloud deployment tips (AWS/GCP) 📁 Resources: 👉 Code Repository: https://github.com/entbappy/Ultimate-... 👉🏻Table of contents: 00:00:00 - Introduction & Overview 00:52:08 - Understand MLOPs with Real World Analogy 00:41:07 - Introduction to MLOps & Importance 01:14:11 - Why Linux for MLOps 01:25:45 - Setting Up Linux with AWS EC2 01:31:55 - Required Linux Commands for MLOps 01:54:09 - Getting Started With Git And GitHub 02:08:22 - Local and Remote Repository Setup 02:13:16 - How to do code management using Git 02:22:01 - Git Branch Management 02:25:53 - Introduction to DVC 02:37:31 - Build & Track ML Pipelines with DVC 03:09:31 - Fundamentals of Cloud for MLOps 03:26:39 - Introduction to MLFlow and Experiment Tracking 03:42:34 - MLFlow Experiment Tracking with Dagshub 04:05:17 - Docker Introduction 04:25:30 - Docker Installation 04:30:13 - Docker Practical Demo 04:37:42 - Creating our custom images with Docker 04:52:33 - End-to-End Real ML Project Implementation with MLOPs 07:20:16 - CICD: Continuous integration and continuous delivery/deployment 07:25:47 - CICD Deployment with GitHub Actions 07:42:46 - CICD Deployment with Jenkins 09:12:18 - CICD Deployment with Circle CI 10:18:09 - Kubernetes 10:46:14 - ML Project using AWS Sagemaker 11:08:48 - Grafana for Monitoring #MLOps #MLOpsCourse #MachineLearning #EndToEndML #MLProject #CI_CD #Docker #Kubernetes #MLflow #DataScience #MLOpsTools #DevOps #AI #ModelDeployment #FullCourse Check out my other playlists: ► MLOps Production Ready Machine Learning Project:    • MLOps Production Ready Machine Learning Pr...   ► End To End Data Science Projects Implementation:    • End To End Data Science Projects Implement...   ► MLflow For Data Science | MLOps:    • MLflow For Data Science | MLOps   ► The Complete Self Driving Car Course:    • The Complete Self Driving Car Course | Com...   ► Object Detection Using YOLO v6:    • YOLO v6 | Object Detection   ► Object Detection Using YOLO v7:    • YOLO v7 | Object Detection   ► Sign Language Detection Using YOLO v5:    • Sign Language Detection Using YOLO v5 | Co...   ►ONNX (Open Neural Network Exchange):    • ONNX (Open Neural Network Exchange)   😀Please donate if you want to support the channel through Buy me a coffee: https://www.buymeacoffee.com/dswithbappy This channel focuses on providing content on Data Science, Artificial Intelligence, Machine Learning, Deep Learning, Computer Vision, Natural language processing, Generative AI, MLOPs, Python programming, etc. in English. My mission is to provide inspiration, motivation & good quality education to students for learning and human development, and to become an expert in Artificial Intelligence, Machine Learning, Deep Learning, Computer Vision, Natural language processing, Generative AI, MLOPs, Python programming, and so on. #dswithbappy aims to provide unique & high-quality free education. I believe that high-quality education is not just for the privileged few. It is the right of everyone who seeks it. My aim is to bring quality education to every single student. All I need from you is intent, and a ray of passion to learn. Thanks! #dswithbappy Connect with me here: Telegram Group: https://t.me/+D-VqcrzSv5Q5Nzc1 Twitter:   / bappy913873   Facebook:   / dswithbappy   instagram:   / entbappy   linkedin :   / boktiarahmed73   Github: https://github.com/entbappy 🙏🙏🙏🙏🙏🙏🙏🙏 YOU JUST NEED TO DO 3 THINGS to support my channel LIKE SHARE & SUBSCRIBE TO MY YOUTUBE CHANNEL