Mastering Azure ML
For Responsible AI

Begin your journey into the world of Data Science
and Artificial intelligence with Microsoft's Azure ML


In partnership with Microsoft, Data Science Nigeria, formerly known as Data Scientists Network-DSNai, is proud to present the Microsoft Responsible AI (RAI) Dashboard workshop.

This innovative platform brings together cutting-edge tools for debugging AI systems.

With a strong focus on fairness, inclusivity, safety, reliability, and transparency, the RAI Dashboard is a one-stop-shop for implementing responsible AI in practice, making it available to the data science community as an open-source solution as part of the Azure Machine Learning ecosystem.


Machine learning models can be difficult to debug, as they are often treated as black boxes that provide only limited visibility into their true accuracy. Additionally, traditional performance techniques often have a blind spot when it comes to identifying model or data errors, which can lead to fairness or societal bias issues.

The need for transparency in machine learning is increasingly important, as certain industries require the ability to understand or explain the features that drove a model’s outcome. This is where Azure Machine Learning’s Responsible AI dashboard comes in.

This workshop is designed to give participants a hands-on learning experience with the Responsible AI dashboard, specifically in the areas of Error Analysis, Data Analysis, and Explainability/Interpretability. By the end of the workshop, participants will have gained valuable insights and best practices for using the Azure Responsible AI dashboard to produce AI solutions that are less harmful and more trustworthy.

Ready to get started?

Join us for “Mastering Azure ML Responsible AI” and
take your machine learning skills to the next level!

Event Details:

Microsoft Responsible AI Dashboard Live Demo Session (online).

Date: Thursday, 18th May 2023

Time:  5 pm and 6:30 pm (WAT)

Venue: Microsoft Teams

Physical Hands-on Practical Technical Workshop Session

Title: Mastering Azure Machine Learning (ML) Responsible AI

Date: Saturday, 17 June 2023

Venue: Microsoft Nigeria Office

Post Learning Hackathon start on Thursday, 18 June 2023

Following the workshop, we invite you to join our Post Learning Hackathon, where you can apply what you’ve learned to a real-world machine-learning problem.

Collaborate with fellow data scientists and developers to create innovative, trustworthy AI solutions that address real-world challenges. It’s a chance to put your skills to the test, connect with others in the community, and make a difference.


During the workshop, participants will gain hands-on experience using the Responsible AI Dashboard to debug their models, improving their performance across various aspects of responsible AI. We’ll cover topics such as Error Analysis, Model Overview, Data Analysis, Feature Importance, Counterfactual/What-If, Casual analysis, and Scorecard reports in their end-to-end machine learning life cycles.

By the end of the course, you’ll have the skills and knowledge to apply best practices using the Azure Responsible AI Dashboard to produce AI solutions that are transparent, ethical, and trustworthy.




From all around the world

Betty Abang
Betty AbangPublic Relations Consultant, Weber Shandwick
Class: Business & Data Analytics
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The training was very hands-on, practical and relatable. I love and I am totally aligned with the laudable vision of DSN to raise 1 million AI Talents in 10 years.
Olaleye Rosiji
Olaleye RosijiCorporate trainer & Life Coach, Mindshift Africa
Class: Business & Data Analytics
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The training was well beyond my expectations. The facilitators were top-notch, friendly and broke the lessons into bits, making it easy for anyone to understand and master. The training ambiance, logistics, and staffs were all top-class.
Tanimowo Eunice
Tanimowo EuniceAssociate, Ernst & Young
Class: Data Visualization Workshop
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Data Science Nigeria came very highly recommended. Just starting my journey in Data Science, the training was very wonderful and eye-opening. I now see and understand the possibilities with Data.
Adesola Arowogbadamu
Adesola ArowogbadamuLead, Business Optimization & Analytics, Globacom
Class: Business & Data Analytics
Read More
Data Science Nigeria has very high-quality tutors and a wonderful vision that I can personally identify with. The training itself was wonderful, exciting, challenging and thought-provoking. I am excited by the number of ways I can almost immediately start applying the skills I have gotten here.

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