Merge pull request #93 from MKhalusova/unit_08

Unit 08: certification

chapters/en/_toctree.yml

@@ -77,8 +77,6 @@
  title: Evaluation and metrics for speech recognition
  - local: chapter5/fine-tuning
  title: How to fine-tune an ASR system with the Trainer API
-# - local: chapter5/speaker_diarization
-# title: Automatic speech recognition with speaker diarization
  - local: chapter5/demo
  title: Building a demo
  - local: chapter5/hands_on
@@ -113,35 +111,17 @@
  title: Creating a voice assistant
  - local: chapter7/transcribe-meeting
  title: Transcribe a meeting
-# - local: chapter7/quiz
-# title: Quiz
-# quiz: 7
  - local: chapter7/hands-on
  title: Hands-on exercise
  - local: chapter7/supplemental_reading
  title: Supplemental reading and resources
-#
-#- title: Unit 8. Finish line
-# sections:
-# - local: chapter8/introduction
-# title: Congratulations!
-# - local: chapter8/certification
-# title: Get your certification of completion
-# - local: chapter8/stay_in_touch
-# title: Stay in touch
-#
-#- title: Bonus unit. Diffusion models for audio
-# sections:
-# - local: chapter9/introduction
-# title: Introduction
-# - local: chapter9/music_generation
-# title: Music generation
-# - local: chapter9/riffusion
-# title: Riffusion
-# - local: chapter9/audioldm
-# title: AudioLDM
-# - local: chapter9/dance_diffusion
-# title: Dance Diffusion
+
+- title: Unit 8. Finish line
+ sections:
+ - local: chapter8/introduction
+ title: Congratulations!
+ - local: chapter8/certification
+ title: Get your certificate of completion
 
 - title: Course Events
  sections:

chapters/en/chapter8/certification.mdx

@@ -0,0 +1,33 @@
+# Get your certificate of completion
+
+The certification process is completely free. 
+* To get a certificate of completion: you need to pass 3 out of 4 hands-on assignments before the end of July 2023.
+* To get a certificate of excellence: you need to pass 4 out of 4 hands-on assignments before the end of July 2023.
+
+The requirements for each assignment are listed in the respective units:
+* [Unit 4 Hands-on](../chapter4/hands_on)
+* [Unit 5 Hands-on](../chapter5/hands_on)
+* [Unit 6 Hands-on](../chapter6/hands_on)
+* [Unit 7 Hands-on](../chapter7/hands_on)
+
+For the assignments that require to train a model, make sure to push your model that meets the requirements to Hub with relevant `kwargs`.
+For the demo assignment in Unit 7, make sure that your demo is `public`.
+
+For self-evaluation and to see what units you passed/not passed, you can use the following space: 
+[Check My Progress - Audio Course](https://huggingface.co/spaces/MariaK/Check-my-progress-Audio-Course)
+
+Once you qualify for a certificate, go to the [Audio Course Certification](https://huggingface.co/spaces/MariaK/Audio-Course-Certification) space.
+This space implements additional checks to ensure your submissions meet the assessment criteria.
+
+Type your Hugging Face username, your first name, last name in the text fields and click on the "Check if I pass and get the certificate" button.
+
+If you passed 3 out of 4 hands-on assignments, you will receive the certificate of completion.
+If you passed 4 out of 4 hands-on assignments, you will receive the certificate of excellence.
+
+You can download your certificate in pdf format and png format. Don't hesitate to share your certificate on Twitter 
+(tag me @mariakhalusova and @huggingface) and on LinkedIn.
+
+If you do not meet the certification criteria, don't be discouraged! Go back to the 
+[Check My Progress - Audio Course](https://huggingface.co/spaces/MariaK/Check-my-progress-Audio-Course) space to see which 
+units you need to do again to get your certificate. If you are experiencing any issue with either of the spaces,
+let us know!

chapters/en/chapter8/introduction.mdx

@@ -0,0 +1,29 @@
+# Congratulations!
+
+You have worked hard to reach this point, and we'd like to congratulate you on completing this Audio course!
+
+Throughout this course, you gained foundational understanding of audio data, explored new concepts, and developed 
+practical skills working with Audio Transformers.
+
+From the basics of working with audio data and pre-trained checkpoints via pipelines, to building real-world 
+audio applications, you have discovered how you can build systems that can not only understand sound but also create it. 
+
+As this field is dynamic and ever-evolving, we encourage you to stay curious and continuously explore new models, research 
+advancements, and new applications. When building your own new and exciting audio applications, make sure to always keep 
+ethical implications in mind, and carefully consider the potential impact on individuals and society as a whole.
+
+Thank you for joining this audio course, we hope you thoroughly enjoyed this educational experience, as 
+much as we relished crafting it. Your feedback and contributions are welcome in 
+the [course GitHub repo](https://github.com/huggingface/audio-transformers-course). 
+
+To learn how you can obtain your well-deserved certificate of completion, if you successfully passed the hands-on assignments,
+check out the [next page](certification).
+
+Finally, to stay connected with the Audio Course Team, you can follow us on Twitter:
+
+* Maria Khalusova: [@mariakhalusova](https://twitter.com/mariaKhalusova)
+* Sanchit Gandhi: [@sanchitgandhi99](https://twitter.com/sanchitgandhi99)
+* Matthijs Hollemans: [@mhollemans](https://twitter.com/mhollemans)
+* Vaibhav (VB) Srivastav: [@reach_vb](https://twitter.com/reach_vb)
+
+Stay curious and train Transformers! :)