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Build responsible AI systems
Artificial intelligence is already shaping high-stakes decisions: who gets hired, who qualifies for a loan, who gets access to services. But when it’s not built responsibly, it can amplify inequality, limit opportunity, and erode trust.
This course is part of the DIVERSIFAIR project, an EU-backed initiative created to help professionals build ethical AI that’s fair, transparent, and accountable — not just technically accurate.
Is this AI Ethics course for you? Yes, if you’re:
A data professional with 1+ year of experience in a coding-based role
(e.g. Data Scientist, Machine Learning Engineer, AI Engineer)
Looking to stay ahead of regulations like the EU AI Act
Ready to embed fairness and accountability into your daily work
Online-Weiterbildung Künstliche Intelligenz & Business Analytics
Du möchtest deine Kenntnisse in Künstlicher Intelligenz ausbauen, sie gezielt für Business Analytics nutzen und damit deine Produktivität steigern? Mit unserem KI Kurs lernst du in nur 3–4 Monaten (bei ca. 9 Stunden pro Woche), wie du AI-Tools wie ChatGPT, Google Gemini und Microsoft Copilot produktiv einsetzt – ob im Finanzbereich, im E-Commerce oder in der Datenanalyse. Die KI Weiterbildung ist vollständig online, flexibel und mit persönlichem Mentoring ausgestattet.
What can you expect?
Self-paced learning and flexible schedule
Learn when it works for you — no fixed hours, no pressure. Just consistent progress on your terms.
Practical projects based on real-world scenarios
Create solutions to challenges you’ll actually face on the job.
Certificate that proves your skills in ethical AI development
Show employers you can build AI that’s both effective and responsible.
Tools & languages you’ll use
Program outline
You’ll complete 3 main sprints — each packed with hands-on learning and insights from real-world case studies. They will take you from foundational knowledge to practical application, and then into a specialization that fits your role.
Foundational Concepts of Ethics in AI
Get a clear introduction to the ethics of AI technologies. You’ll explore how fairness is defined, where ethical considerations in AI arise, and how to evaluate systems using metrics and an audit framework.
Technical Approaches to Fairness
Learn how to reduce unfair outcomes using proven techniques. You’ll explore fairness interventions at the data, model, and prediction levels — and apply ethical frameworks to guide your work.
Emerging Fairness Frontiers and Implementation Strategies
Understand how fairness applies in large-scale AI systems, including LLMs. You’ll learn how to integrate fairness across the ML lifecycle, manage organizational responsibilities, and align with AI governance practices.
Specialization — Practical Fairness for Data Scientists
Apply fairness in your real-world workflows: model training, deployment, and monitoring. You’ll work through best practices and implementation challenges — with support from expert mentors.
Learn anytime, anywhere
This is a fully virtual program. Study from anywhere, on your schedule — with support from your peers and mentors when you need it.
Learn from professionals
Our Senior Team Leads and mentors are experienced professionals who are 100% up-to-date with the industry trends and will provide you consultations, 1on1 project reviews, and feedback.
Graduate in 4 months or less — you set the pace
This program is flexible by design. Most learners complete it in 3–4 months with a ~10 hour/week commitment. But if you need to move faster or slower, that’s totally up to you. You’re in control.
Die Kursdauer beträgt 3–4 Monate, abhängig davon, wie viel Zeit du investierst. Du kannst jedoch schneller fertig werden, wenn du intensiv lernst. Am Ende erhältst du ein Turing College Zertifikat, das bestätigt, dass du KI-Tools im Business-Kontext sicher einsetzen kannst – ein wertvoller Nachweis gegenüber Arbeitgebern.
Our learners work at top companies
How application works
This is the only Turing College program that’s fully funded. If you’re accepted, your tuition will be 100% covered by a scholarship — no hidden costs, no catch.
Application
You’ll complete an application form, sharing your personal and academic background with us.
Video/audio recording
You’ll record your answers to a few questions so we can assess whether the AI Engineering program is the right fit for you. Don’t worry – you don’t need to prepare much. You’ll have time to think through your answers and you can re-record if needed. We’ve implemented and certified this step to ensure we admit the most suitable candidates.
Basic admission requirements:
Dedication of at least 10 focused hours per week
Focused hours are:
- Working on a computer (not a smartphone)
- Uninterrupted working time in a dedicated space
- Rested, not overworked (not after intense cognitive work)
Strong motivation
You need a clear and strong reason for joining this program. It should be your personal goal, and you should have specific reasons for wanting to improve your skills.
Experience in coding-based data role
You should have at least 1 year of experience working with code in a data context — for example, as a Data Scientist, ML Engineer, or AI Engineer.
Good English skills
You must demonstrate an English proficiency of at least B2 level to join the program.
Up-to-date computer
You’ll need a computer that can handle large datasets smoothly and runs an actively supported and updated operating system.
Limited scholarships available. Apply now!
Starting dates
October 6th
Deadline for applications:
2025-09-29
November 3rd
Deadline for applications:
2025-10-27
Our graduates have achieved life changing growth. You can too.
Turing College has been a great experience. I loved the structure and content of the material. I had constant contact with instructors and peer learners. I find the peer and senior review concept really efficient.
Turing College changed my life forever! Studying at Turing College was one of the best things that happened to me.
Linda Oranya
Data scientist @ Metasite Data Insights
After the course, I was able to get into work and solve real business problems easily.
Ovidijus Kuzminas
ML engineer @ Oxus.AI
Turing College provides practical online education on my schedule. Thanks to that, I have changed my career without impacting time spent with my family.
Dominika Szulc
Junior ML Engineer @ Future Processing
The sole fact that I joined Digital Marketing program by Turing College was a contributing factor to me getting a job.
Justas Sadauskas
Account Manager @ Defined Chase
I have finished two universities, and studied in most of the major online platforms to get extra certificates. And Turing College is one of the most advanced place so far.
Ignas Lukosevicius
Junior Media Buyer @ Pulsetto
Turing College is for those who want to master data science.
Edvard Sivickij
Data Analyst @ Kilo Health
FAQ
Why is it important to learn about AI ethics and governance now?
As the impact of AI grows across industries, so do the ethical challenges around how systems are designed and who they affect. Without clear ethical principles and guardrails, data can be misused and people can be harmed. This course helps you build the skills to address those challenges before they become risks.
How is this certification course different from others?
While other providers may focus on compliance or policy, Turing College’s course combines hands-on projects, expert feedback, and continuing professional development, giving you practical tools to shape AI practices ethically.