Evaluating and Debugging Generative AI

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Course Overview

What You'll Learn

  • Machine learning and AI projects require managing diverse data sources, vast data volumes, model and parameter development, and conducting numerous test and evaluation experiments.
  • This course will introduce you to Machine Learning Operations tools that manage this workload.
  • You will learn to use the Weights & Biases platform which makes it easy to track your experiments, run and version your data, and collaborate with your team.

Machine learning and AI projects require managing diverse data sources, vast data volumes, model and parameter development, and conducting numerous test and evaluation experiments. Overseeing and tracking these aspects of a program can quickly become an overwhelming task. This course will introduce you to Machine Learning Operations tools that manage this workload. You will learn to use the Weights & Biases platform which makes it easy to track your experiments, run and version your data, and collaborate with your team.

Course FAQs

Is this an accredited online course?

Accreditation for 'Evaluating and Debugging Generative AI' is determined by the provider, DeepLearning.AI. 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 'Evaluating and Debugging Generative AI' on the DeepLearning.AI online class platform, where you can complete your registration.