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CNCF [Cloud Native Computing Foundation]

MLOps Automation with Git Based CI-CD for ML

CNCF [Cloud Native Computing Foundation] via YouTube

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Overview

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Explore the challenges and solutions for deploying AI/ML applications in this 58-minute webinar on MLOps automation using Git-based CI/CD. Learn about ML pipeline workflows, collaboration between multidisciplinary teams, and automating the deployment process using cloud-native paradigms, Git, and Kubernetes. Discover how to maximize efficiency, leverage Git review processes for model evaluation, and simplify Kubernetes and DevOps complexities. Watch a demonstration of continuous delivery for machine learning in production environments using Git, CI frameworks, hosted Kubernetes, Kubeflow, MLOps orchestration tools, and serverless functions. Gain insights into real-world applications, including predictive maintenance and fraud detection, while understanding the importance of automation in bringing AI projects to production successfully.

Syllabus

Intro
80% of AI Projects Never Make it to Produc
Did you Try Running Notebooks in Product
Model and Code Development are Just the First Step
Example: Predictive Maintenance Pipeline
You can use Separate Tools & Services, Or you can use Kubernetes as the Baseline
What is an Automated ML Pipeline ?
Under The Hood: Open, Scalable, Production Ready
Serverless Simplicity, Maximum Performance
Serverless: Resource Elasticity, Automated Deployment and Operations
Dynamic Scaling for Intensive Workloads
KubeFlow: Automated ML Pipelines & Tracking
Simple, Production-Ready Development Process
Building CI/CD Process for ML(Ops)
Traditional Fraud-Detection Architecture (Hadoop)
Real-Time Fraud Prediction & Prevention

Taught by

CNCF [Cloud Native Computing Foundation]

Reviews

5.0 rating, based on 1 Class Central review

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  • Profile image for Nagendra Nag
    Nagendra Nag
    i watched many videos but from this video i got a full knowledge about CI/CD of projects overall how it works how to automate pipelines
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