Administrative information

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

Keywords

Data Architecture,Machine Learning pipeline,MLOps,

Learning Goals

To know the fundamentals of Machine Learning System architectures
To know how to design and automate a Machine Learning pipeline
To know the basic aspects of some ML production pipeline
To know how to configure a ML production pipeline on Cloud

Expected Preparation

Learning Events to be Completed Before

None.

Obligatory for Students

Data Analysis Process
Machine Learning Models

Optional for Students

DevOps
CI/CD

References and background for students:

None.

Recommended for Teachers

Google cloud architcture
Bakshi, K. (2012, March). Considerations for big data: Architecture and approach. In 2012 IEEE aerospace conference (pp. 1-7). IEEE.

Lesson Materials

Slides

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

Instructions for Teachers

Topics to be covered

Introduction to what a data architecture is
MLOps
Design and Automation of a Machine Learning pipeline
Architecture of a Machine Learning system in production
Orchestration of the ML pipeline.
Configuration of a Continuous Integration
- Continuous Delivery CI/CD system for the ML pipeline using the Cloud.

Outline


Duration (min)	Description	Concepts	Activity	Material
5	MLOps	ML System, ML Pipeline, DevOps, Continuous Integration, Continuous Delivery, Continuous Testing	Lecture	External Slides
10	Design and Automation of a Machine Learning pipeline	CI/CD Pipeline, CT Pipeline	Lecture	External Slides
20	Architecture of a Machine Learning system in production	Data validation, Preprocessing, Model Development, Model Analysis, Model Deployment, TFX	Lecture	External Slides
10	Orchestration of the ML pipeline	Orchestrator, Kubeflow	Lecture	External Slides
15	Configuration of a Continuous Integration/ Continuous Delivery CI/CD system for the ML pipeline using the Cloud	ML pipeline on Cloud	Running Example	Online Tutorials

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