Deploy and Test a Visual Inspection AI Component Anomaly Detection Solution

Course Feature

Cost

Paid
Provider

Coursera
Certificate

Paid Certification
Language

English
Start Date

22nd May, 2023
Learners

No Information
Duration

No Information
Instructor

Google Cloud Training

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3.0

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Discover how to deploy and test a cutting-edge visual inspection AI component anomaly detection solution in this self-paced lab on the Google Cloud console. This course offers a hands-on experience, allowing you to gain practical skills in deploying and testing advanced AI technology. Learn how to harness the power of AI to detect anomalies in visual data, enhancing your ability to identify and address potential issues. Join this course now and unlock the potential of visual inspection AI for your business.

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Deploy and Test a Visual Inspection AI Component Anomaly Detection Solution

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Course Overview

❗The content presented here is sourced directly from Coursera platform. For comprehensive course details, including enrollment information, simply click on the 'Go to class' link on our website.

Updated in [September 25th, 2023]

What does this course tell? (Please note that the following overview content is from the original platform)This is a self-paced lab that takes place in the Google Cloud console. Deploy and test a visual inspection AI component anomaly detection solution.We considered the value of this course from many aspects, and finally summarized it for you from two aspects: skills and knowledge, and the people who benefit from it: (Please note that our content is optimized through artificial intelligence tools and carefully reviewed by our editorial staff.) What skills and knowledge will you acquire during this course? During this course, the learner will acquire the following skills and knowledge:

1. Deployment of a visual inspection AI component: The learner will gain hands-on experience in deploying a visual inspection AI component on the Google Cloud console. They will learn how to set up the necessary infrastructure and configure the AI component for anomaly detection.

2. Testing of the AI component: The course will provide practical guidance on testing the deployed visual inspection AI component. Learners will learn how to evaluate the accuracy and performance of the AI model in detecting anomalies in visual data.

3. Anomaly detection solution: The course will focus on developing an effective anomaly detection solution using the visual inspection AI component. Learners will understand the key concepts and techniques involved in detecting anomalies in visual data.

4. Google Cloud console: The course will familiarize learners with the Google Cloud console and its various features and functionalities. They will learn how to navigate the console, access relevant tools, and utilize cloud resources for deploying and testing the AI component.

5. Self-paced lab: The course is designed as a self-paced lab, allowing learners to progress at their own speed. They will have the flexibility to practice and experiment with the concepts and techniques taught in the course, enhancing their understanding and proficiency.

Overall, this course will equip learners with the skills and knowledge required to deploy and test a visual inspection AI component for anomaly detection. They will gain practical experience in utilizing the Google Cloud console and develop a comprehensive understanding of building effective anomaly detection solutions. Who will benefit from this course? Professionals in the field of computer vision and artificial intelligence will benefit from this course. Specifically, individuals working in industries that require visual inspection, such as manufacturing, quality control, and surveillance, will find this course valuable. Additionally, software developers and engineers interested in deploying and testing AI solutions will also benefit from this course.

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