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MLOps Fundamentals: From Machine Learning to Deployment

Name: MLOps Fundamentals: From Machine Learning to Deployment
Price: 199 INR
Availability: InStock

This course introduces the core concepts behind MLOps and how they extend DevOps practices to machine learning workflows. You'll revisit machine learning fundamentals, explore data and model versioning, infrastructure as code, and security best practices, then see how these pieces come together in an end-to-end MLOps implementation using QuickML.

What You'll Learn

Explain how machine learning models are trained, evaluated, and deployed

Describe the core principles of DevOps and how they apply to machine learning

Identify the key components of MLOps, including data and model versioning and infrastructure as code

Implement version control for code, data, and model artifacts

Apply security best practices when building MLOps infrastructure

Use QuickML as an end-to-end MLOps solution for importing data and managing workflows

About this course

MLOps Fundamentals: From Machine Learning to Deployment is a self-paced beginner-level technology online course on GreyAcademy, taught by Anurag Trivedi. It has 2 modules and 8 chapters, and it takes about 10 hours to complete. Enrol once and learn at your own pace. You get a completion certificate when you finish all the lessons.

Topics covered: Foundations of machine learning, Introduction to DevOps, Understanding MLOps, Components of MLOps, Implementing MLOps, Best practices for MLOps, Using QuickML, Conclusion and next steps.

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