This is an old revision of the document!

Hands-on AI Tools and Techniques Workshop Series ~ Introduction to Machine Learning

<WRAP quarter column>
<WRAP center round box 110%>
{{:icon:twbs:link:w-25:h-auto:calendar3.svg?nolink&}}
<fs:26px>** Date**</fs>

* Monday October 13, 2025
* 2pm - 5pm
</WRAP>
</WRAP>

<WRAP quarter column>
<WRAP center round box 110%>
{{:icon:twbs:link:w-25:h-auto:map.svg?nolink&}}
<fs:26px>** Venue**</fs>

Level 0 Auditorium, BW B2 and B3

</WRAP>

<WRAP quarter column>
<WRAP center round box 110%>
{{:icon:twbs:link:w-25:h-auto:globe.svg?nolink&}}
<fs:26px>** Organizer**</fs>

{{:icon:twbs:link:w-25:h-auto:person.svg?nolink&}} Abdelghafour HALIMI\\
{{:icon:twbs:link:w-25:h-auto:headset-vr.svg?nolink&}} Visualization Core Laboratory\\
{{:icon:twbs:link:w-25:h-auto:envelope-at.svg?nolink&}} abdelghafour.halimi@kaust.edu.sa
</WRAP>
</WRAP>

<WRAP quarter column>
<WRAP center round box 110%>
{{:icon:twbs:link:w-25:h-auto:person-add.svg?nolink&}}
<fs:26px>** Register**</fs>

<wrap em button> [[https://kaustforms.formstack.com/forms/introduction_to_machine_learning_fall_2024|Register Here!]] </wrap>
</WRAP>
</WRAP>

</WRAP>

<WRAP third column>

{{:wiki:training:2023:AI_workshop_ML.png?direct&}}

<WRAP center round box download 100%>
<fs:26px>** Workshop Materials**</fs>

Github link: GitHub Repository

<WRAP center round box todo 100%>
<fs:26px>** Pre-requisites**</fs>

Have KAUST IT credentials (i.e. the one you use to access your KAUST email)
A computer (Linux/Windows/Mac) with internet connection & terminal
Essential knowledge of Python is necessary (Pandas, Numpy libraries…)
Have some experience with working with Conda package manager

</WRAP>

</WRAP>

<WRAP twothirds column>

===== Overview =====

This workshop serves as an introduction to the exciting world of machine learning, a subfield of artificial intelligence (AI). Participants will gain a foundational understanding of the core concepts, techniques, and applications of machine learning.

Leveraging the state-of-the-art facilities of the KAUST Visualization Core Lab, attendees will have an immersive experience, combining theoretical lessons with practical exercises.

This workshop is ideal for those looking to embark on a journey into AI and machine learning, as well as for professionals seeking to enhance their knowledge in this rapidly-evolving domain.

\\

===== Who Should Attend? =====

Anyone with zero experience (or beginner/junior) who wants to learn Machine Learning, Data Science
You are a programmer that wants to extend their skills into Data Science and Machine Learning to make yourself more valuable
Anyone who wants to learn these topics from industry experts that don’t only teach, but have actually worked in the field
You want to add value to your own business or company you work for, by using powerful Machine Learning tools.

\\

===== Agenda =====

^ Time               ^ Topic                                             ^ Speaker               |
^ 2:00pm - 2:10pm    | Welcome                                           | Abdelghafour Halimi   |
^ 2:10am - 3:15pm    | Introduction to Machine Learning                  | Abdelghafour Halimi   |
^ 3:15pm - 3:30pm    | Coffee Break                                      |                        |
^ 3:30pm - 5pm       | Hands-On Session: Jupyter Notebooks Examples / Q&A| Abdelghafour Halimi   |

</WRAP>

</WRAP>

workshop