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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 cosmetic 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. Understanding of visual inspection AI: The learner will gain knowledge about the concept of visual inspection AI and its applications in detecting cosmetic anomalies.
2. Deployment of AI solution: The learner will learn how to deploy a visual inspection AI cosmetic anomaly detection solution using the Google Cloud console.
3. Testing the AI solution: The learner will acquire skills in testing the deployed AI solution to ensure its accuracy and effectiveness in detecting cosmetic anomalies.
4. Interpretation of results: The learner will learn how to interpret the results generated by the AI solution and make informed decisions based on the detected anomalies.
5. Troubleshooting and optimization: The course will provide knowledge on troubleshooting common issues that may arise during the deployment and testing process. Additionally, the learner will learn techniques to optimize the performance of the AI solution.
Overall, this course will equip the learner with the necessary skills and knowledge to deploy and test a visual inspection AI cosmetic anomaly detection solution using the Google Cloud console.
Who will benefit from this course?
Professionals in the field of quality control and inspection, specifically those working in the cosmetic industry, will benefit from this course. It is also relevant for individuals interested in artificial intelligence and machine learning applications in visual inspection.