<img src="https://upload.wikimedia.org/wikipedia/commons/9/97/120106-G-IA651-272_%286668116881%29.jpg" alt="" width="40%" height="40%" style="background:none; border:none; box-shadow:none;"/> <!--v--> ## Cloud Computing, Containers & Orchestration by a data scientist, for data scientists **ISAE-SUPAERO, SDD, January 2026** Florient CHOUTEAU <!--v--> ### Who ? <img src="static/img/ads_logo.jpg" alt="" width="128px" height="128px" style="background:none; border:none; box-shadow:none;"/> - **Florient CHOUTEAU**, SDD 2015-2016 🎂 - eXpert in Artificial Intelligence for Space Systems at **Airbus Defence and Space** - Computer Vision Team (Earth Observation, Space Exploration, Space Domain Awareness) - Specialized in Satellite Imagery Processing & Deep Learning - Daily job revolving around Machine Learning + Satellite Imagery - Working regularly on cloud infra, remote development environment, docker Any question ? contact me on slack ! <!--v--> ### Objectives of this class Introduction to global concepts of cloud computing, virtualisation, containers etc. from a **user** point of view <!--v--> ### Why ? The building blocks of "AI" ... - Data - Computational Power - Software - People and skills to make everything works ... require a lot of paradigms shifts, <!--v--> eg. having manipulated and having a rough idea of... ... tools & concepts you **will** need in later workshops (DL, Spark, Dask, Hackathon)... ... tools & concepts you **may** need during your internships and early career... ... *cloud native* culture you **will** need later ! <!--v--> ### Disclaimer ! I am not a Cloud Engineer, or a Devops, ... <!-- .element: class="fragment" data-fragment-index="1" --> ... so I'll be showing you these from a "AI Engineer" point of view <!-- .element: class="fragment" data-fragment-index="2" --> ... and try to give you pointers for your internship / 1st job ... <!-- .element: class="fragment" data-fragment-index="3" --> ... "as if I was the one on the other side of the classroom" <!-- .element: class="fragment" data-fragment-index="4" --> <!--v--> ### This class will be successful if... - You understand why & how the cloud can be useful for you <!-- .element: class="fragment" data-fragment-index="1" --> - You are familiar with remote development environments <!-- .element: class="fragment" data-fragment-index="2" --> - You can connect to and manipulate remote machines <!-- .element: class="fragment" data-fragment-index="3" --> - You know the basics of containerisation and docker <!-- .element: class="fragment" data-fragment-index="4" --> - And you have applied them to deploy your model into "production" <!-- .element: class="fragment" data-fragment-index="5" --> - You have a rough idea of the problematic of orchestration <!-- .element: class="fragment" data-fragment-index="6" --> <!--v--> ### Schedule | Date | Length | Content | |:---:|:---:|---| | 06/01 | 3h | Intro to Cloud Computing & Remote Dev Env | | 06/01 | 3h | Containers & Docker | | 13/01 | 3h | BE Docker & GCP | | 13/01 | 3h | BE Deploy your ML Model in Production | So day 1 a mixture of lectures and hands-on, day 2 we will focus on practice <!--v--> ### ⚠️ Some things may go wrong, especially because of : - The ISAE WIFI / 4G connection inside the room - Your computer configuration (OS, browser, etc.) - Google Cloud Platform responsiveness Brace yourselves 💪 <!--v--> ### ⚠️ It works "best" with: - Google Chrome or Google Chromium. You may need to disable your ad blocker. - VSCode - A GitHub account - A valid gmail address (that you can create for this class) <!--v--> ### ⚠️ - This is a beginner class, so your not-so-bad LLM chatbot can do it eyes closed. Use it wisely ! - Tips : Debug mode, Plastic Duck, Learning checker, ...
