# Here is the Slides of course 1 of ML OP, including the optional one

**URL:** <https://community.deeplearning.ai/t/here-is-the-slides-of-course-1-of-ml-op-including-the-optional-one/10888>\
**Category:** MLEP Resources\
**Created:** [June 1, 2021, 9:56am UTC](https://community.deeplearning.ai/t/here-is-the-slides-of-course-1-of-ml-op-including-the-optional-one/10888 "2021-06-01T09:56:28Z")\
**Posts on this page:** 4\
**Page:** 1

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**Author:** ![JonathanSum](https://sea1.discourse-cdn.com/dlai/user_avatar/community.deeplearning.ai/jonathansum/32/47406_2.png) [@JonathanSum](https://community.deeplearning.ai/u/JonathanSum)\
**Post date:** [June 1, 2021, 9:56am UTC](https://community.deeplearning.ai/t/here-is-the-slides-of-course-1-of-ml-op-including-the-optional-one/10888/1 "2021-06-01T09:56:28Z")

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> **[Course 1 ML Op.zip](https://drive.google.com/file/d/1zJgBQoFvewz4ZQrxL7Z_E7AEAKEimYd8/view?usp=sharing)**
>
> Google Drive file.

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**Author:** ![kiavash\_fathi](https://avatars.discourse-cdn.com/v4/letter/k/aeb1de/32.png) [@kiavash\_fathi](https://community.deeplearning.ai/u/kiavash_fathi)\
**Post date:** [May 31, 2022, 2:00pm UTC](https://community.deeplearning.ai/t/here-is-the-slides-of-course-1-of-ml-op-including-the-optional-one/10888/2 "2022-05-31T14:00:39Z")

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Hello JonathanSum

Thank you for sharing. As you may already know, you can also download the slides (with notes) from Coursera as well. The link (e.g. for week 1) is available in **Lecture notes (Optional)/ Ungraded External Tool: Lecture Notes W1**

All the best,  
Kiavash

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**Author:** ![Elisa\_Piccin](https://avatars.discourse-cdn.com/v4/letter/e/c4cdca/32.png) [@Elisa\_Piccin](https://community.deeplearning.ai/u/Elisa_Piccin)\
**Post date:** [June 21, 2022, 12:26pm UTC](https://community.deeplearning.ai/t/here-is-the-slides-of-course-1-of-ml-op-including-the-optional-one/10888/3 "2022-06-21T12:26:47Z")

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Hi @kiavash_fathi , can you please post the link to the slides?  
I wasn’t able to find the path “Lecture notes (Optional)/ Ungraded External Tool: Lecture Notes W1”.

Thanks,  
Elisa

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**Author:** ![kiavash\_fathi](https://avatars.discourse-cdn.com/v4/letter/k/aeb1de/32.png) [@kiavash\_fathi](https://community.deeplearning.ai/u/kiavash_fathi)\
**Post date:** [June 21, 2022, 2:51pm UTC](https://community.deeplearning.ai/t/here-is-the-slides-of-course-1-of-ml-op-including-the-optional-one/10888/4 "2022-06-21T14:51:32Z")

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Dear Elisa,

Thank you very much for your inquiry. You can find the slides using this [LINK](https://www.coursera.org/learn/introduction-to-machine-learning-in-production/ungradedLti/tN060/lecture-notes-w1).

All the best,  
Kiavash