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Data Computation Part 1: Cloud Computing, Containers & DeploymentπŸ”—

SyllabusπŸ”—

IntroductionπŸ”—

Introduction to data computation module

Cloud Computing (3h)πŸ”—

Intro to cloud computing & google cloud platform

Date Type Link Description
21/11 Lecture Intro to Cloud Computing A lecture about an introduction to "what is the cloud"
21/11 Lecture Using Cloud Computing in your daily job What does it mean to "use the cloud" ?
21/11 Lecture Intro to Google Cloud Platform A quick intro to GCP
21/11 Hands-on GCP : Setup, Hands On, My first VMs, Storage, IAAS & PAAS My first steps with GCP, Google Cloud Shell, discovering GCE & GCS
29/11 Recap Important notions about Cloud Computing A recap of important notions

Containers (3h)πŸ”—

Intro to containers & docker

Date Type Link Description
28/11 Lecture From virtualisation to Containerisation, Docker What are containers and why do we need them ? What is Docker ?
28/11 Hands-on Docker Discover Docker
29/11 Recap Important notions about Docker A recap of important notions

BE (3h)πŸ”—

A small workshop that puts everything together: Google cloud & docker

Date Type Link Description
29/11 BE Explanations
Walkthrough
A final Bureau d'Γ©tudes to wrap everything together

Deployment (3h)πŸ”—

Deploy your machine learning model in production with everything you've learnt

Date Type Link Description
08/01 Lecture MLOPS and Deployement Learn about webservices, microservices, restful apis, docker compose
08/01 Interactive Deploying ML models into production Deploy your ML model !
08/01 Lecture Orchestration Learn about container orchestration and kubernetes
29/11 Recap Important notions about Orchestration

Quiz and recapπŸ”—

The evaluation of this section will be done with an open-resource quiz covering all cloud computing topics. These concluding slides should be used to recap the previous courses.