Are you struggling to operationalize your models or achieve the success from AI you envisioned? Without model operationalization, you won’t make any impact on the business process because business users cannot access your model output. This module is designed as a step-by-step guide to explain all the ‘need to knows’ and structure to model operationalization. We begin by outlining the complete process of model operationalization, followed by a deep dive into model deployment. Then we discuss APIs in general, REST APIs and how to put you model behind an API. Furthermore, we’ll cover how to use your model behind an API in a web application, and how to orchestrate the entire process.
Why is this for you?
Without putting your model in production, you are actually not making any impact on the business, because business users cannot change their processes or decisions based on your model output. As a Data Scientist or Engineer, you are responsible for making sure that your model is operationalized properly. This training is designed to show you how!
Who should attend?
This training is for Data Engineers, AI Engineers, and Data Scientists who have prior knowledge of Python and want to make a real impact with their models by putting them in production.
What will you learn?
- Model operationalization
- Model deployment
- APIs, REST APIs, and how they work in relation to analytical web applications
- Model deployment behind APIs
- Orchestration basics using Jenkins
- Model operationalization basics – Get an overview of the process and the technology options
- Model deployment – Explain the role of model deployment and the different types of deployment methods
- Working with APIs – Learn what an API is, how to define them and implement one yourself
- Model deployment behind APIs – Learn how to deploy your model behind an API and how it can be called from a web application
- Orchestration basics using Jenkins – Use Jenkins as an orchestrator to call your model and all other operationalization steps
Theory and practical use
All trainings in the GAIn portfolio combine high-quality standardized training material with theory sessions from experts and hands-on experience where you directly apply the material to real-life cases. Each training is developed by top of the field practitioners which means they are full of industry examples along with practical challenges and know-how, fueling the interactive discussions during training. We believe this multi-level approach creates the ideal learning environment for participants to thrive.
Open Course Schedule
MIacademy does offer part of its portfolio in an Open Course Schedule Format in our location in the center of Amsterdam. Via the form below you can register your interest to participate. Our team will contact you to finalize the booking and answer any questions you may have.
All of our courses are delivered by our expert trainers.
If no dates are mentioned. The specific course is not scheduled yet in 2020. If this is the case you can use the form to register your interest. In case there is enough demand MIacademy can schedule additional courses and will notify you.
Are you are interested to train a larger group of people, looking for specific training pe or and/or interested in creating a company-wide program? We will be happy to assist!
Whether you have a very specific training need (for example: training your Data Engineers on advanced technical topics, or your Data Scientists on model implementation), or the need for a large transformational program, or something in between, we can help. Over the past 13 years, we have built up extensive experience not only in the implementation of multi-year, multi-population, multi-country programs but also in providing high quality, very specific modules for specific target groups. Both in in-house set-ups and cross-company programs. Not sure what type of program would fit your organization best? We’d be happy to discuss the best approach together.