Model Performance Management

Implement effective model performance management in your own business after this in-depth one-day course. You will learn the three key steps of model performance management, apply this hands-on during realistic cases and translate the best practices to your own modeling practice.

Duration: 1 day

Star Level: Master

Certification: Yes

 

MIacademy / Badge Overview / Open Course Calendar / 3303 Model Performance Management

Course Description

With the rise of AI, new questions and challenges constantly arise: how do we continuously ensure model accuracy and who is responsible for the results? Our Model Performance Management course is designed specifically to tackle these questions and drive better model results. This badge will introduce you to the importance of model performance management, explain why models deteriorate, and which risks may arise over time. Through practical cases, you will develop your model management skills and learn how to implement this within your own business.

 

Why is this for you?

 

Model management in AI is a crucial capability that will help you avoid problematic situations as a result of your models being wrong or outdated. If you use AI or models in your business this course is for you! You will learn why you need model performance management, what the key components are, and how you can implement this in your own business. Based on the current situation of model management within your own business, we help you to create an action plan to reach the desired end-state.

 

Who should attend?

 

This course is aimed at all professionals, working hands-on with data and AI, from a data science or data engineering perspective. To follow this course and get the most out of what we teach you must have completed our Machine Learning Process (3021) badge.

 

What will you learn?

 

  1. An introduction to the importance of model management
  2. The main components of model management
  3. The different roles and responsibilities in the execution of model management
  4. To translate your new knowledge into an action plan to implement model management in your business

 

Learning Goals

 

    • Introduction to model management – Understand and explain the importance of model management and the related risks
    • Proper implementation of model management – Know the steps to execute successful model management
    • Translation to own practice – Capable of translating knowledge to own practice through an action plan

 

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.

 

Skills

 

    • Machine Learning
    • Statistics
    • Python or R
    • Model management
Interested in taking the course?

Open Course Schedule

 

MIacademy offers 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.

Dates & Availability

 

In-company Training Programs

Are you interested in training a larger group of people, looking for specific training or would you like to create 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.