Free Udemy Course 2025: DevOps to MLOps Bootcamp - Free Udemy Course [100% Off]
Master new skills with expert-led instruction - 100% Free with Certificate
Free Udemy Course Details
Language: English
Instructors: School of Devops, Gourav J. Shah
Access: Lifetime access with updates
Certificate: Included upon completion
DevOps to MLOps Bootcamp: Build & Deploy ML Systems End-2-End - Free Udemy Course [100% Off Coupon Code]
Limited-Time Offer: This IT & Software/Udemy free course is now available completely free with our exclusive 100% discount coupon code. Originally priced at $109.99, you can enroll at zero cost and gain lifetime access to professional training. Don't miss this opportunity to master MLOps, Kubernetes, and machine learning deployment without spending a dime!
What You'll Learn in This Free Udemy Course
This comprehensive free online course on Udemy covers everything you need to become proficient in MLOps and AI platform engineering. Whether you're a beginner or looking to advance your skills, this free Udemy course with certificate provides hands-on training and practical knowledge you can apply immediately.
- Master Docker and MLFlow to containerize ML models and track experiments like a pro
- Build a complete machine learning pipeline using real-world house price prediction data
- Deploy ML models with FastAPI and create interactive UIs using Streamlit for instant business impact
- Create automated CI/CD workflows with GitHub Actions to streamline your ML development process
- Deploy scalable inference infrastructure on Kubernetes with production-grade model serving using Seldon Core
- Monitor ML deployments with Prometheus and Grafana dashboards for enterprise-level observability
- Implement GitOps-based continuous delivery with ArgoCD for automated Kubernetes management
- Gain job-ready skills for MLOps and AI Platform Engineering roles in today's hottest tech companies
Who Should Enroll in This Free Udemy Course?
This free certification course is perfect for anyone looking to break into the rapidly growing MLOps field or enhance their existing DevOps skills. Here's who will benefit most from this no-cost training opportunity:
- DevOps engineers seeking to transition into high-demand MLOps roles with 6-figure salary potential
- Infrastructure professionals wanting to add machine learning deployment skills to their toolkit
- Software developers looking to understand how to productionize and scale ML models effectively
- Career changers seeking to enter the lucrative AI and machine learning engineering industry
- Data scientists who want to learn DevOps practices for deploying their models to production
- IT professionals aiming to future-proof their careers with cutting-edge MLOps expertise
- Cloud engineers wanting to master Kubernetes for ML workloads and automated deployments
Meet Your Instructor
Learn from School of DevOps and Gourav J. Shah, industry veterans with a proven track record in DevOps and MLOps training. With thousands of satisfied students and real-world experience building scalable infrastructure, they bring practical insights and proven methodologies to help you succeed. Their teaching style combines hands-on labs with clear explanations, making complex concepts accessible to learners at every level.
Course Details & What Makes This Free Udemy Course Special
With an impressive 4.58 rating and 4,862 students already enrolled, this Udemy free course has proven its value. The course includes 9 comprehensive lessons, all taught in English. What sets this free online course apart is the end-to-end hands-on approach, taking you from basic concepts to deploying a complete ML system on Kubernetes. Upon completion, you'll receive a certificate to showcase on LinkedIn and your resume. Plus, with mobile access, you can learn anytime, anywhere—perfect for busy professionals. This IT & Software course in the Other IT & Software niche is regularly updated and includes lifetime access, meaning you can revisit materials whenever you need a refresher.
How to Get This Udemy Course for Free (100% Off)
Follow these simple steps to claim your free enrollment:
- Click the enrollment link to visit the Udemy course page
- Apply the coupon code: OCT_FREE_01 at checkout
- The price will drop from $109.99 to $0.00 (100% discount)
- Complete your free enrollment before October 9, 2025 at 2:00 AM UTC
- Start learning immediately with lifetime access
⚠️ Important: This free Udemy coupon code expires on October 9, 2025. The course will return to its regular $109.99 after this date, so enroll now while it's completely free. This is a legitimate, working coupon—no credit card required, no hidden fees, no trial periods. Once enrolled, the course is yours forever.
Why You Should Grab This Free Udemy Course Today
Here's why this free certification course is an opportunity you can't afford to miss: MLOps engineers are among the highest-paid tech professionals, with average salaries exceeding $120,000. The demand for AI platform engineers has grown 300% in the last 2 years as companies race to deploy machine learning at scale. This course gives you practical, portfolio-worthy projects that demonstrate real-world MLOps skills to employers. Plus, with the rise of generative AI, companies desperately need professionals who can deploy and manage ML systems reliably. By mastering these skills for free today, you position yourself for lucrative freelance opportunities, full-time roles, or internal promotions.
Frequently Asked Questions About This Free Udemy Course
Is this Udemy course really 100% free?
Yes! By using our exclusive coupon code OCT_FREE_01, you get 100% off the regular $109.99 price. This makes the entire course completely free—no payment required, no trial period, and no hidden costs. You'll have full access to all course materials just like paying students.
How long do I have to enroll with the free coupon?
This limited-time offer expires on October 9, 2025 at 2:00 AM UTC. After this date, the course returns to its regular $109.99 price. We highly recommend enrolling immediately to secure your free access. The coupon has limited redemptions available.
Will I receive a certificate for this free Udemy course?
Absolutely! Upon completing all course requirements, you'll receive an official Udemy certificate of completion. This certificate can be downloaded, shared on LinkedIn, and added to your resume to showcase your new skills to employers.
Can I access this course on my phone or tablet?
Yes! This course is fully compatible with the Udemy mobile app for iOS and Android. Download the app, enroll with the free coupon, and learn on-the-go. You can watch videos, complete exercises, and track your progress from any device.
How long do I have access to this free course?
Once you enroll using the free coupon code, you get lifetime access to all course materials. There's no time limit—learn at your own pace, revisit lessons anytime, and benefit from future updates at no additional cost. Your one-time free enrollment gives you permanent access.
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About This Free Udemy Course 2025
The "DevOps to MLOps Bootcamp - Free Udemy Course [100% Off]" course is thoughtfully crafted to help you gain new skills and deepen your understanding through clear, comprehensive lessons and practical examples. Whether you're just starting out or looking to enhance your expertise, this course offers a structured and interactive learning experience designed to meet your goals.
What You Will Learn in This Free Udemy Course
Throughout this course, you'll explore essential topics that empower you to confidently apply what you've learned. With over 0.0 hours of engaging video lectures, along with 9 informative articles and 0 downloadable resources, you'll have everything you need to succeed and grow your skills.
Key Learning Outcomes:
- Master fundamental concepts and practical applications
- Develop hands-on experience through real-world projects
- Build a professional portfolio to showcase your skills
- Gain industry-relevant knowledge from expert instructors
Learn at Your Own Pace with Free Udemy Courses 2025
Flexibility is at the heart of this course. Access the materials on any device — whether on your desktop, tablet, or smartphone — and learn when it's convenient for you. The course structure allows you to progress at your own speed, making it easy to fit learning into your busy life.
Meet Your Free Udemy Course Instructors
Your guides on this journey are School of Devops and Gourav J. Shah , seasoned experts with a proven track record of helping students achieve their goals. Learn from their experience and insights, gaining valuable knowledge that goes beyond the textbook.
Frequently Asked Questions About Free Udemy Courses 2025
Is this course really free?
Yes, this course is 100% free using our verified coupon code. No hidden fees or subscription requirements.
Do I get a certificate upon completion?
Yes, you'll receive an official Udemy certificate of completion that you can add to your LinkedIn profile and resume.
How long do I have access to the course materials?
You get lifetime access to all course materials, including any future updates and new content added by the instructor.
Can I access this course on mobile devices?
Yes, this course is fully mobile-optimized and can be accessed on any device with an internet connection.
Free Udemy Course Overview
![DevOps to MLOps Bootcamp - Free Udemy Course [100% Off]](https://img-c.udemycdn.com/course/750x422/6565297_6f61_3.jpg)
Free Udemy Course Description
This hands-on bootcamp is designed to help DevOps Engineers and infrastructure professionals transition into the growing field of MLOps. With AI/ML rapidly becoming an integral part of modern applications, MLOps has emerged as the critical bridge between machine learning models and production systems.In this course, you will work on a real-world regression use case — predicting house prices — and take it all the way from data processing to production deployment on Kubernetes. You’ll start by setting up your environment using Docker and MLFlow for tracking experiments. You’ll understand the machine learning lifecycle and get hands-on experience with data engineering, feature engineering, and model experimentation using Jupyter notebooks.Next, you'll package the model with FastAPI and deploy it alongside a Streamlit-based UI. You’ll write GitHub Actions workflows to automate your ML pipeline for CI and use DockerHub to push your model containers.In the later stages, you'll build a scalable inference infrastructure using Kubernetes, expose services, and connect frontends and backends using service discovery. You’ll explore production-grade model serving with Seldon Core and monitor your deployments with Prometheus and Grafana dashboards.Finally, you'll explore GitOps-based continuous delivery using ArgoCD to manage and deploy changes to your Kubernetes cluster in a clean and automated way.By the end of this course, you'll be equipped with the knowledge and hands-on experience to operate and automate machine learning workflows using DevOps practices — making you job-ready for MLOps and AI Platform Engineering roles.
Frequently Asked Questions About Free Udemy Courses
What is this Free Udemy course about?
The DevOps to MLOps Bootcamp - Free Udemy Course [100% Off] course provides comprehensive training designed to help you gain practical skills and deep knowledge in its subject area. It includes 0.0 hours of video content, 9 articles, and 0 downloadable resources.
Who is this Free Udemy course suitable for?
This course is designed for learners at all levels — whether you're a beginner looking to start fresh or an experienced professional wanting to deepen your expertise. The lessons are structured to be accessible and engaging for everyone.
How do I access the Free Udemy course materials?
Once enrolled, you can access all course materials through the learning platform on any device — including desktop, tablet, and mobile. This allows you to learn at your own pace, anytime and anywhere.
Is there lifetime access to this Free Udemy course?
Yes! Enrolling in the DevOps to MLOps Bootcamp - Free Udemy Course [100% Off] course grants you lifetime access, including any future updates, new lessons, and additional resources added by the instructor.