Udemy – Complete MLOps Bootcamp With 10+ End To End ML Projects 2024-10

Udemy – Complete MLOps Bootcamp With 10+ End To End ML Projects 2024-10 Downloadly IRSpace

Apr 18, 2025 - 10:31 Updated: Apr 21, 2025 - 14:08

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Udemy – Complete MLOps Bootcamp With 10+ End To End ML Projects 2024-10

Complete MLOps Bootcamp With 10+ End To End ML Projects, This course is designed to equip you with the skills and knowledge necessary to implement and automate the deployment, monitoring, and scaling of machine learning models using the latest MLOps tools and frameworks. In today’s world, simply building machine learning models is not enough. To succeed as a data scientist, machine learning engineer, or DevOps professional, you need to understand how to take your models from development to production while ensuring scalability, reliability, and continuous monitoring. This is where MLOps (Machine Learning Operations) comes into play, combining the best practices of DevOps and ML model lifecycle management. This bootcamp will not only introduce you to the concepts of MLOps but will take you through real-world, hands-on data science projects. By the end of the course, you will be able to confidently build, deploy, and manage machine learning pipelines in production environments. By enrolling in this course, you will gain hands-on experience with cutting-edge tools and techniques used in the industry today. Whether you’re a data science professional or a beginner looking to expand your skill set, this course will guide you through real-world projects, ensuring you gain the practical knowledge needed to implement MLOps workflows successfully.

What you’ll learn

Build scalable MLOps pipelines with Git, Docker, and CI/CD integration.
Implement MLFlow and DVC for model versioning and experiment tracking.
Deploy end-to-end ML models with AWS SageMaker and Huggingface.
Automate ETL pipelines and ML workflows using Apache Airflow and Astro.
Monitor ML systems using Grafana and PostgreSQL for real-time insights.

Who this course is for

Data Scientists and Machine Learning Engineers looking to scale and deploy ML models.
DevOps professionals wanting to integrate ML pipelines.
Software Engineers interested in transitioning to MLOps.
Beginners with basic ML knowledge aiming to learn end-to-end deployment.
IT professionals eager to understand MLOps tools and practices for real-world projects.

Specificatoin of Complete MLOps Bootcamp With 10+ End To End ML Projects

Publisher : Udemy
Teacher : Krish Naik , KRISHAI Technologies Private Limited
Language : English
Level : All Levels
Number of Course : 180
Duration : 50 hours and 46 minutes

Content of Complete MLOps Bootcamp With 10+ End To End ML Projects

Complete MLOps Bootcamp With 10+ End To End ML Projects

Requirements

Basic understanding of Python programming.
Familiarity with machine learning concepts and algorithms.
Basic knowledge of Git and GitHub for version control.
Understanding of Docker for containerization (optional but helpful).
Awareness of cloud computing concepts (AWS preferred, but not mandatory).

Udemy – Complete MLOps Bootcamp With 10+ End To End ML Projects 2024-10