refactor(courses): Movings to Artificial Intelligence

Moves some resources related with topic found in `Misc` and `Data Science` It consolidates this section 🚀 Improves EbookFoundation#4579
davorpa · Oct 6, 2021 · 1d5841b · 1d5841b
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Showing 1 changed file with 6 additions and 6 deletions.
diff --git a/courses/free-courses-en.md b/courses/free-courses-en.md
@@ -147,7 +147,13 @@
 
 ### Artificial Intelligence
 
+* [AI Courses](https://software.intel.com/content/www/us/en/develop/topics/ai/training/courses.html) - Intel Corporation
+* [Aml-2018 Ambient Intelligence](https://www.youtube.com/playlist?list=PLqRTLlwsxDL8fUcY2Y54sITILyJcTySpC) (F. Corno - L. De Russis - A. Monge Roffarello)
+* [CS50’s Introduction to Artificial Intelligence with Python](https://cs50.harvard.edu/ai/2020/) - Brian Yu and David J. Malan (Harvard OpenCourseWare and EdX)
 * [Elements of AI](https://www.elementsofai.com) - University of Helsinki, Reaktor
+* [IBM AI Engineering Professional Certificate](https://www.coursera.org/professional-certificates/ai-engineer) (Coursera)
+* [MIT 6.S099: Artificial General Intelligence](https://agi.mit.edu)
+* [MIT's Artificial Intelligence](http://ocw.mit.edu/courses/electrical-engineering-and-computer-science/6-034-artificial-intelligence-fall-2010/)
 
 
 ### Assembly
@@ -239,7 +245,6 @@
 * [Data Science interview questions](https://www.youtube.com/playlist?list=PLZoTAELRMXVPkl7oRvzyNnyj1HS4wt2K-) - Krish Naik
 * [Data Visualization by Alexis Cook at Kaggle](https://www.kaggle.com/learn/data-visualization)
 * [Datavis 2020](https://www.youtube.com/playlist?list=PL9yYRbwpkykuK6LSMLH3bAaPpXaDUXcLV) - Curran Kelleher
-* [IBM AI Engineering Professional Certificate](https://www.coursera.org/professional-certificates/ai-engineer) (Coursera)
 * [IBM Data Science Professional Certificate](https://www.coursera.org/professional-certificates/ibm-data-science) (Coursera)
 * [Introduction to Data Science in Python](https://www.coursera.org/learn/python-data-analysis) - Christopher Brooks (Coursera)
 * [More Data Mining with Weka MOOC](https://www.cs.waikato.ac.nz/ml/weka/mooc/moredataminingwithweka/)
@@ -608,9 +613,7 @@
 * [Advanced Adobe XD (Web Design)](https://webdesign.tutsplus.com/courses/advanced-adobe-xd-for-everyone) - Adi Purdila
 * [Advanced Data Structures](http://ocw.mit.edu/courses/electrical-engineering-and-computer-science/6-851-advanced-data-structures-spring-2012/)
 * [Advanced NLP using spaCy](https://course.spacy.io) - Ines Montani
-* [AI Courses](https://software.intel.com/content/www/us/en/develop/topics/ai/training/courses.html) - Intel Corporation
 * [Algorithm Design and Implementation](https://www.youtube.com/playlist?list=PL6EF0274BD849A7D5)
-* [Aml-2018 Ambient Intelligence](https://www.youtube.com/playlist?list=PLqRTLlwsxDL8fUcY2Y54sITILyJcTySpC) (F. Corno - L. De Russis - A. Monge Roffarello)
 * [Berkeley's CS  61A: Taught using SICP](https://archive.org/details/ucberkeley-webcast-PL3E89002AA9B9879E?tab=collection)
 * [Berkeley's CS  61B: Data Structures](https://archive.org/details/ucberkeley_webcast_QMV45tHCYNI)
 * [Berkeley's CS 162: Operating Systems and Systems Programming](https://www.youtube.com/watch?v=feAOZuID1HM)
@@ -620,17 +623,14 @@
 * [Caltech's Learning From data](https://work.caltech.edu/telecourse.html)
 * [Cloud Computing and Development](https://uaceit.com/courses/cloud-computing-and-development) - Ashwin Kumar Ramaswamy (UAceIt)
 * [Computer Graphics](http://nptel.ac.in/courses/106106090/)
-* [CS50’s Introduction to Artificial Intelligence with Python](https://cs50.harvard.edu/ai/2020/) - Brian Yu and David J. Malan (Harvard OpenCourseWare and EdX)
 * [Embedded Software Safety](https://www.youtube.com/playlist?list=PLAQopGWlIcyaqDBW1zSKx7lHfVcOmWSWt) (P. Koopman)
 * [FindLectures.com](https://web.archive.org/web/20161219180842/https://www.findlectures.com/?class1=Technology) - Index of conference talks by language / topic (:card_file_box: *archived*)
 * [Introduction to Information Security](https://www.udacity.com/course/intro-to-information-security--ud459)
 * [Introduction to Reinforcement Learning with David Silver](https://deepmind.com/learning-resources/-introduction-reinforcement-learning-david-silver) - David Silver
 * [LouvainX Paradigms of Computer Programming – Abstraction and Concurrency](https://www.edx.org/course/paradigms-computer-programming-louvainx-louv1-2x-1#!)
 * [LouvainX Paradigms of Computer Programming – Fundamentals](https://www.edx.org/course/paradigms-computer-programming-louvainx-louv1-1x-1)
 * [Made with ML](https://madewithml.com) - Goku Mohandas (Applied ML · MLOps · Production)
-* [MIT 6.S099: Artificial General Intelligence](https://agi.mit.edu)
 * [MIT Numerical Methods (2014)](http://www.iitg.ernet.in/kartha/CE601-14/CourseSchedule.htm)
-* [MIT's Artificial Intelligence](http://ocw.mit.edu/courses/electrical-engineering-and-computer-science/6-034-artificial-intelligence-fall-2010/)
 * [MIT's Computer Language Engineering](http://ocw.mit.edu/courses/electrical-engineering-and-computer-science/6-035-computer-language-engineering-sma-5502-fall-2005/lecture-notes/)
 * [MIT's Introduction to Algorithms](http://ocw.mit.edu/courses/electrical-engineering-and-computer-science/6-006-introduction-to-algorithms-fall-2011/)
 * [MIT's Mathematics for Computer Science](http://ocw.mit.edu/courses/electrical-engineering-and-computer-science/6-042j-mathematics-for-computer-science-fall-2010/video-lectures/)