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Deploy & Evaluate Vision Models Effectively

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Deploy & Evaluate Vision Models Effectively

This course is part of Applied Object Detection & Segmentation Specialization

Instructor: ansrsource instructors

Included with

Learn more

1 module

Gain insight into a topic and learn the fundamentals.

Intermediate level

Recommended experience

2 hours to complete

Flexible schedule

Learn at your own pace

1 module

Gain insight into a topic and learn the fundamentals.

Intermediate level

Recommended experience

2 hours to complete

Flexible schedule

Learn at your own pace

Skills you'll gain

Tools you'll learn

Model Deployment

Details to know

Shareable certificate

Add to your LinkedIn profile

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Build your subject-matter expertise

This course is part of the Applied Object Detection & Segmentation Specialization

When you enroll in this course, you'll also be enrolled in this Specialization.

Learn new concepts from industry experts
Gain a foundational understanding of a subject or tool
Develop job-relevant skills with hands-on projects
Earn a shareable career certificate

There is 1 module in this course

In this hands-on course, you’ll learn how to move computer vision models from notebooks to the real world. You’ll build an end-to-end inference pipeline, package it into a reproducible API, and evaluate its performance using precision, recall, and mean Average Precision (mAP). You’ll also practice diagnosing errors, segmenting results by condition, and communicating insights like a professional MLOps engineer. By the end, you’ll be ready to deploy, evaluate, and iteratively improve vision models that teams can trust.

Module details

What's included

7 videos2 readings5 assignments

7 videosTotal 16 minutes

Welcome: From Model File to Real-World API2 minutes
From Notebook to API: Building the Inference Pipeline2 minutes
Containerize, Expose, and Test Your Model2 minutes
Welcome: The Real Story Behind Model Scores1 minute
Precision, Recall, and mAP: What Performance Really Means2 minutes
Finding the Why: Error Analysis in Action5 minutes
Congratulations and Continuous Learning Journey3 minutes

2 readingsTotal 18 minutes

Breaking Down the Inference Pipeline: From Model Artifact to Production Service 8 minutes
Measuring What Matters: Evaluating Vision Model Performance10 minutes