# SHORT COURSE IS LIVE! Evaluating and Debugging Generative AI

**URL:** <https://community.deeplearning.ai/t/short-course-is-live-evaluating-and-debugging-generative-ai/405793>\
**Category:** News and Announcements\
**Created:** [August 2, 2023, 3:12pm UTC](https://community.deeplearning.ai/t/short-course-is-live-evaluating-and-debugging-generative-ai/405793 "2023-08-02T15:12:05Z")\
**Posts on this page:** 3\
**Page:** 1

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**Author:** ![Community-Team](https://sea1.discourse-cdn.com/dlai/user_avatar/community.deeplearning.ai/community-team/32/136466_2.png) [@Community-Team](https://community.deeplearning.ai/u/Community-Team)\
**Post date:** [August 2, 2023, 3:12pm UTC](https://community.deeplearning.ai/t/short-course-is-live-evaluating-and-debugging-generative-ai/405793/1 "2023-08-02T15:12:06Z")

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![NEW SHORT COURSE!](https://global.discourse-cdn.com/dlai/original/3X/e/a/ea6f326506aa8845c96d8e1480c6671e3dcdb13b.jpeg)

**What you’ll learn in this course**

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.

**This course will teach you to:**

- Instrument a Jupyter notebook
- Manage hyperparameter config
- Log run metrics
- Collect artifacts for dataset and model versioning
- Log experiment results
- Trace prompts and responses to LLMs over time in complex interactions

When you complete this course, you will have a systematic workflow at your disposal to boost your productivity and accelerate your journey toward breakthrough results.

**Who should join?**

Anyone who has familiarity with Python and PyTorch or similar framework and an interest in managing, versioning, and debugging their machine learning workflow.

**[ENROLL HERE!](https://www.deeplearning.ai/short-courses/evaluating-debugging-generative-ai/?utm_campaign=Events+and+Community&utm_medium=banner&utm_source=discourse)**

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<div class="post-metadata">

**Author:** ![Community-Team](https://sea1.discourse-cdn.com/dlai/user_avatar/community.deeplearning.ai/community-team/32/136466_2.png) [@Community-Team](https://community.deeplearning.ai/u/Community-Team)\
**Post date:** [August 2, 2023, 3:12pm UTC](https://community.deeplearning.ai/t/short-course-is-live-evaluating-and-debugging-generative-ai/405793/2 "2023-08-02T15:12:17Z")

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**Author:** ![happyday](https://sea1.discourse-cdn.com/dlai/user_avatar/community.deeplearning.ai/happyday/32/46884_2.png) [@happyday](https://community.deeplearning.ai/u/happyday)\
**Post date:** [August 7, 2023, 11:47am UTC](https://community.deeplearning.ai/t/short-course-is-live-evaluating-and-debugging-generative-ai/405793/3 "2023-08-07T11:47:51Z")

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Hello, I did not see a spot to write my feedback/question on the course so I wrote it at [this topic](https://community.deeplearning.ai/t/cost-error-in-short-course-evaluating-and-debugging-generative-ai/410717). Can you please take a look at my question? Thank you.