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Data Quality Testing Begins – Live!

When AI models make decisions that impact users, businesses, and society,
testing AI/ML models becomes essential.
This course teaches how to apply QA and quality control in the development, validation, and deployment of machine learning models.

About the Academy

The Data Quality Academy is an educational program dedicated to developing professionals in data quality assurance and control. Our training does not rely on pre-recorded courses – everything takes place live via Zoom calls, in small groups and through one-on-one sessions with mentors.

We teach you how to identify, diagnose, and resolve data quality issues in real business environments.

Interactive live online classes (via Zoom)

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Working in small groups – learning by doing, not just theory

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One-on-one mentoring sessions with a dedicated mentor

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Collaborative work on practical tasks and real-life case studies

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Additional support for Data Quality Academy participants

  • Slack community for communication and resource sharing
  • Personalized support for creating portfolios and mini-projects
  • Job interview preparation for the QA/Data world

Get ready for QA and Data job interviews with confidence and the skills that will set you apart. Our mentors are here to guide you, step by step, toward your goal!

LOOK INSIDE

One-on-one sessions

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Full Program with a Detailed Module Overview

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MODULE 1

Introduction to AI/ML Testing

MODULE 2

Testing of Training Data

MODULE 3

Model Evaluation and Validation

MODULE 4

Model Behavior Testing

MODULE 5

Production Testing

LOOK

Who Is This Course For?

  • QA Engineers looking to enter the field of AI testing
  • ML Engineers who want to improve model test coverage
  • Data Engineers and Analysts involved in AI projects
  • Production and DevOps teams deploying models to production

15+

godina iskustva

5x

brži napredak

WHAT AFTER

Upon completing the course, participants will be able to:

  • Develop QA strategies for AI/ML projects
  • Detect issues in data and training processes
  • Evaluate models using formal testing approaches
  • Monitor and test models in real-time
  • Collaborate effectively with ML teams in production environments

What they said about us

Our participants are our best recommendation — their testimonials speak to the real results, support, and knowledge they gained through our program.

"The Data Quality Akademija course opened a whole new chapter in my QA career. I learned how to test AI and ML systems with confidence and apply real strategies to production environments. The 1-on-1 mentorship was a game-changer!"

Miljan RistanovicMarketing Ekspert

"As an ML engineer, I always focused on model accuracy—but never considered test coverage until this course. Now I understand how to monitor and validate model behavior in production. Highly recommended!"

Marko PetkovskiGrafički Dizajner

"The hands-on approach and real-world examples helped me identify hidden issues in our datasets and pipelines. This isn’t just theory—it’s practical training for serious professionals."

Ana BulajićData Analitičar

"We enrolled several team members, and the impact was immediate. Better testing, clearer communication with our ML developers, and more confidence in our data-driven decisions."

Nikola MitrićMenadžer

Are you ready to become a master in the world of data quality?

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