Cloud Run for AI Inference
$49
ENROLL NOWCourse Overview
What You'll Learn
- AI inference is the process of using a trained machine learning model to make predictions on new, unseen data by applying learned patterns.
- This course is designed for developers, data scientists, and ML engineers interested in quickly deploying AI inference services on Cloud Run.
- It is useful for those familiar with cloud-based serverless application deployment solutions, but who may not have experience with running AI inference using Google Cloud serverless products.
AI inference is the process of using a trained machine learning model to make predictions on new, unseen data by applying learned patterns. This course is designed for developers, data scientists, and ML engineers interested in quickly deploying AI inference services on Cloud Run. It is useful for those familiar with cloud-based serverless application deployment solutions, but who may not have experience with running AI inference using Google Cloud serverless products. The course includes examples that deploys a model for AI inference with GPUs and integrates gen AI apps with data storage services.
Course FAQs
Is this an accredited online course?
Accreditation for 'Cloud Run for AI Inference' is determined by the provider, Google Cloud. For online college courses or degree programs, we strongly recommend you verify the accreditation status directly on the provider's website to ensure it meets your requirements.
Can this course be used for continuing education credits?
Many of the courses listed on our platform are suitable for professional continuing education. However, acceptance for credit varies by state and licensing board. Please confirm with your board and {course.provider} that this specific course qualifies.
How do I enroll in this online school program?
To enroll, click the 'ENROLL NOW' button on this page. You will be taken to the official page for 'Cloud Run for AI Inference' on the Google Cloud online class platform, where you can complete your registration.
