DevOps to MLOps Bootcamp: Build & Deploy MLSystems End-2-End Course includes 9 hrs video content and enrolled by 1K+ students and received a 4.8 average review out of 5. Now, Course instructor offering 100%OFF on the original price of the course and its limited time offer. Enroll the course before the coupon expired Once you’re enrolled for the course, you can start it whenever and complete it at your own pace. it will never expire on your account.
What you’ll learn
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Build end-to-end Machine Learning pipelines with MLOps best practices
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Understand and implement ML lifecycle from data engineering to model deployment
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Set up MLFlow for experiment tracking and model versioning
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Package and serve models using FastAPI and Docker
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Automate workflows using GitHub Actions for CI pipelines
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Deploy inference infrastructure on Kubernetes using KIND
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Use Streamlit for building lightweight ML web interfaces
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Learn GitOps-based CD pipelines using ArgoCD
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Serve models in production using Seldon Core
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Monitor models with Prometheus and Grafana for production insights
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Understand handoff workflows between Data Science, ML Engineering, and DevOps
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Build foundational skills to transition from DevOps to MLOps roles
Can I download DevOps to MLOps Bootcamp: Build & Deploy MLSystems End-2-End course?
You can download videos for offline viewing in the Android/iOS app. When course instructors enable the downloading feature for lectures of the course, then it can be downloaded for offline viewing on a desktop.Can I get a certificate after completing the course?
Yes, upon successful completion of the course, learners will get the course e-Certification from the course provider. The DevOps to MLOps Bootcamp: Build & Deploy MLSystems End-2-End course certification is a proof that you completed and passed the course. You can download it, attach it to your resume, share it through social media.Are there any other coupons available for this course?
You can check out for more Udemy coupons @ www.coursecouponclub.com
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Disclosure: This post may contain affiliate links and we may get small commission if you make a purchase. Read more about Affiliate disclosure here.
