Administrative information


Title Data architecture
Duration 60 min
Module B
Lesson Type Interactive Session
Focus Practical - Organisational AI
Topic

Data architecture

 

Keywords


Data Architecture,Machine Learning pipeline​,MLOps​,

 

Learning Goals


 

Expected Preparation


Learning Events to be Completed Before

Obligatory for Students

  • Data Analysis Process
  • Machine Learning Models
  • DevOps
  • CI/CD

Optional for Students

None.

References and background for students:

  • DevOps
  • CI/CD

Recommended for Teachers

Lesson Materials



The materials of this learning event are available under CC BY-NC-SA 4.0.

 

Instructions for Teachers


Use the following outline:

Time schedule

 
Duration (min) Description Concepts
20 Introduction to the discussion ML System Architecture, ML Pipeline
30 Discussion ML in production examples
10 Summing up and conclusive remarks  

 

More information

Click here for an overview of all lesson plans of the master human centred AI

Please visit the home page of the consortium HCAIM

Acknowledgements

The Human-Centered AI Masters programme was co-financed by the Connecting Europe Facility of the European Union Under Grant №CEF-TC-2020-1 Digital Skills 2020-EU-IA-0068.

The materials of this learning event are available under CC BY-NC-SA 4.0

 

The HCAIM consortium consists of three excellence centres, three SMEs and four Universities

HCAIM Consortium