Complete MLOps Bootcamp With 10+ End To End ML Projects — 93% OFF Discount Coupon

End-to-End MLOps Bootcamp: Build, Deploy, and Automate ML with Data Science Projects

★4.6 out of 5
35,994 students
Created by Krish Naik, KRISHAI Technologies Private Limited
English
Updated April 2026

Quick Facts — Course Summary

Here's a quick overview of everything you need to know about Complete MLOps Bootcamp With 10+ End To End ML Projects before you enroll:

•Course Name: Complete MLOps Bootcamp With 10+ End To End ML Projects
•Platform: Udemy
•Instructor: Krish Naik, KRISHAI Technologies Private Limited
•Coupon Last Verified: April 21, 2026
•Level: All Levels
•Topic: Development
•Subtopic: Data Science
•Total Time: 51h of video content
•Language: English
•Access Type: Unlimited lifetime access + updates
•Certificate: Included upon completion from Udemy
•Main Skills: 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.
•Requirements: Basic understanding of Python programming. · Familiarity with machine learning concepts and algorithms.
•Current Price: $11.99 (was $169.99). You save $158.00 with 93% discount.
•How to Apply: Click the coupon button to activate your discount automatically
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Skills You'll Master

By the end of Complete MLOps Bootcamp With 10+ End To End ML Projects, you'll have these practical skills:

✓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.

What You Need Before Starting

Before enrolling in Complete MLOps Bootcamp With 10+ End To End ML Projects, make sure you have:

•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).

About This Udemy Course

The following is the full official course description for Complete MLOps Bootcamp With 10+ End To End ML Projects as published on Udemy by instructor Krish Naik, KRISHAI Technologies Private Limited:

Welcome to the Complete MLOps Bootcamp With End to End Data Science Project, your one-stop guide to mastering MLOps from scratch! 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.

What You’ll Learn:
  • Python Prerequisites: Brush up on essential Python programming skills needed for building data science and MLOps pipelines.
  • Version Control with Git & GitHub: Understand how to manage code and collaborate on machine learning projects using Git and GitHub.
  • Docker & Containerization: Learn the fundamentals of Docker and how to containerize your ML models for easy and scalable deployment.
  • MLflow for Experiment Tracking: Master the use of MLFlow to track experiments, manage models, and seamlessly integrate with AWS Cloud for model management and deployment.
  • DVC for Data Versioning: Learn Data Version Control (DVC) to manage datasets, models, and versioning efficiently, ensuring reproducibility in your ML pipelines.
  • DagsHub for Collaborative MLOps: Utilize DagsHub for integrated tracking of your code, data, and ML experiments using Git and DVC.
  • Apache Airflow with Astro: Automate and orchestrate your ML workflows using Airflow with Astronomer, ensuring your pipelines run seamlessly.
  • CI/CD Pipeline with GitHub Actions: Implement a continuous integration/continuous deployment (CI/CD) pipeline to automate testing, model deployment, and updates.
  • ETL Pipeline Implementation: Build and deploy complete ETL (Extract, Transform, Load) pipelines using Apache Airflow, integrating data sources for machine learning models.
  • End-to-End Machine Learning Project: Walk through a full ML project from data collection to deployment, ensuring you understand how to apply MLOps in practice.
  • End-to-End NLP Project with Huggingface: Work on a real-world NLP project, learning how to deploy and monitor transformer models using Huggingface tools.
  • AWS SageMaker for ML Deployment: Learn how to deploy, scale, and monitor your models on AWS SageMaker, integrating seamlessly with other AWS services.
  • Gen AI with AWS Cloud: Explore Generative AI techniques and learn how to deploy these models using AWS cloud infrastructure.
  • Monitoring with Grafana & PostgreSQL: Monitor the performance of your models and pipelines using Grafana dashboards connected to PostgreSQL for real-time insights.
Who is this Course For?
  • Data Scientists and Machine Learning Engineers aiming to scale their ML models and automate deployments.
  • DevOps professionals looking to integrate machine learning pipelines into production environments.
  • Software Engineers transitioning into the MLOps domain.
  • IT professionals interested in end-to-end deployment of machine learning models with real-world data science projects.
Why Enroll?

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.

Enroll now and take your data science skills to the next level with MLOps!

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Is the Complete MLOps Bootcamp With 10+ End To End ML Projects Coupon Worth It?

Expert review by Andrew Derek, Lead Course Analyst at CoursesWyn.•Last updated: April 21, 2026.

Based on analysis of the curriculum structure, student engagement metrics, and verified rating data, Complete MLOps Bootcamp With 10+ End To End ML Projects is a high-value resource for learners seeking to build skills inDevelopment. Taught by Krish Naik, KRISHAI Technologies Private Limited on Udemy, the 51h course provides a structured progression from foundational concepts to advanced techniques— making it suitable for learners at all levels. The current coupon reduces the price by 93%, from $169.99 to $11.99, removing the primary financial barrier to enrollment.

✓What We Like (Pros)

  • Verified 93% price reduction makes this course accessible to learners on any budget.
  • Aggregate student rating of 4.6 out of 5 indicates high learner satisfaction.
  • Strong enrollment base with over 35,994 students demonstrates course popularity and trust.
  • Includes an official Udemy completion certificate and lifetime access to all future content updates.

!Keep in Mind (Cons)

The following limitations should be considered before enrolling in Complete MLOps Bootcamp With 10+ End To End ML Projects:

  • The depth of Development coverage may be challenging for absolute beginners without the listed prerequisites.
  • Lifetime access is contingent on the continued operation of the Udemy platform.
  • Hands-on projects and quizzes require additional time investment beyond video watch time.
Final Verdict: Worth It
This course offers exceptional value with current pricing
✓

Course Rating Summary

Complete MLOps Bootcamp With 10+ End To End ML Projects Course holds an aggregate rating of 4.6 out of 5 based on 35,994 student reviews on Udemy.

4.6
★★★★★
35,994 Verified Ratings
5 stars
75%
4 stars
15%
3 stars
6%
2 stars
2%
1 star
2%

* Rating distribution is approximated from the aggregate score. Sourced from Udemy.

Instructor Profile

The following section provides background information on Krish Naik, KRISHAI Technologies Private Limited, the instructor responsible for creating and maintaining Complete MLOps Bootcamp With 10+ End To End ML Projects on Udemy.

Complete MLOps Bootcamp With 10+ End To End ML Projects is taught by Krish Naik, KRISHAI Technologies Private Limited, a Udemy instructor specializing in Development. For the full instructor biography, professional credentials, and a complete list of their courses, visit the official instructor profile on Udemy.

•Instructor Name: Krish Naik, KRISHAI Technologies Private Limited
•Subject Area: Development
•Teaching Approach: Practical, project-based instruction focused on real-world application of Development skills.

Frequently Asked Questions

The following questions and answers cover the most common queries about Complete MLOps Bootcamp With 10+ End To End ML Projects, its coupon code, pricing, and enrollment process.

About the Author

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Andrew Derek

Lead Course Analyst at CoursesWyn with 8+ years of experience evaluating online learning platforms. I've analyzed 500+ Udemy courses and helped thousands of learners choose the right courses for their career goals.

⭐4.8/5 Rating
✓Trusted by 10K+ Students

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