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Complete MLOps Bootcamp With 10+ End To End ML Projects

End-to-End MLOps Bootcamp: Build, Deploy, and Automate ML with Data Science Projects
4.5 ★★★★★31,364 studentsCreated by Krish Naik, KRISHAI Technologies Private LimitedLast updated Dec 12, 2025🌐 English

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.

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).

Description

Frequently Asked Questions

Student Feedback

4.5
★★★★★
Course Rating
75%
15%
5%
5%
5%
S
Sarah J.
★★★★★2 weeks ago

This course was absolutely amazing! The instructor explained everything clearly and the projects were very helpful.

M
Michael T.
★★★★1 month ago

Great content, highly recommended for beginners. Just wish there were more practice exercises.

D
David K.
★★★★★2 months ago

Best course on this topic I've taken so far. Worth every penny (even better since I got it for free!).

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Complete MLOps Bootcamp With 10+ End To End ML Projects
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This course includes:
  • 📺 51h on-demand video
  • 📱 Access on mobile and TV
  • ♾️ Full lifetime access
  • 🏆 Certificate of completion