The Data Science Course: Complete Data Science Bootcamp 2026
★ 4.6 rated · $10.99
End-to-End MLOps Bootcamp: Build, Deploy, and Automate ML with Data Science Projects
$11.99 with coupon (list $169.99 — save $158.00, 93% off)
Coupon Verified: April 22, 2026 · click Claim Coupon to apply the discount code
Our verdict: worth it — as long as the Development skills on the syllabus match what you actually want to learn. The regular price for Complete MLOps Bootcamp With 10+ End To End ML Projects on Udemy is $169.99. With the coupon code on this page, that falls to $11.99 — a saving of $158.00, or 93% off the standard rate Spread across 51h of on-demand video, that works out to roughly $0.24 per hour of content — cheaper than a single chapter of most printed Development textbooks.
A cheap price means nothing if the material is thin — here the syllabus is organized around usable outcomes. Krish Naik and KRISHAI Technologies Private Limited walk you through build scalable MLOps pipelines with Git, Docker, and CI/CD integration, implement MLFlow and DVC for model versioning and experiment tracking, and deploy end-to-end ML models with AWS SageMaker and Huggingface — skills meant to be used, not just watched. It has already been taken by 35,994 students and holds a 4.6-star average from verified reviews, which suggests the content holds up once learners actually apply it.
Check the prerequisites before you commit: Basic understanding of Python programming.; Familiarity with machine learning concepts and algorithms.. Best suited to learners who already have footing in Development. Plan for roughly 51h of on-demand video at your own pace. Lessons are delivered in English.
Practical skills and outcomes you'll gain from Complete MLOps Bootcamp With 10+ End To End ML Projects — taken from the official Udemy syllabus for Development learners.
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 enrolling in Complete MLOps Bootcamp With 10+ End To End ML Projects — prerequisites as listed by the instructor on Udemy.
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).
The full official description of Complete MLOps Bootcamp With 10+ End To End ML Projects — curriculum, teaching approach, and everything included with this Udemy coupon.
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Common queries about this coupon, pricing, and enrollment. Answers reflect our last check on April 22, 2026.
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