- Data Engineer Quick Start
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Get started
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Build the Flow
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Create an API endpoint
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Deploy an API endpoint
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Automate the Flow
- Wrap Up: Data Engineer Quick Start
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What's next?
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Tell Us What You Think: Data Engineer Quick Start
Data Engineer Quick Start
Get started using Dataiku for MLOps in this tutorial for first time users!
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Get started using Dataiku for MLOps in this tutorial for first time users! It assumes no prior knowledge of Dataiku. To follow along, all you need is access to a Dataiku instance. You can get started here. In this project, you'll create and deploy an API endpoint that predicts in real-time whether a job postings is real or fake, and then automate building the data pipeline. |
Learning Objectives
In this quick start, you'll:
1 - Create a Dataiku project.
2 - Create an API endpoint from a prediction model.
3 - Deploy a version of the API endpoint to a Dataiku API node.
4 - Automate the building of a data pipeline.
Course Properties
| Course Title | Data Engineer Quick Start |
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Target Audience |
Anyone looking to take their first steps with MLOps in Dataiku. If you are more interested in using code with Dataiku, see the Developer Guide. |
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Access Level |
Free / included with registration |
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Estimated Time for Completion |
30 Minutes |
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Knowledge Prerequisite(s) |
None! |
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Technical Prerequisite(s) |
Dataiku - Version 11.0 or above. The free edition is not fully compatible. |
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Register above to start learning! |