A GESAD / UECE event
1st International Summer School on AI Engineering
AIEng 2027
Artificial Intelligence-based Systems Engineering, in practice.
Five days of immersion in talks, hands-on activities, and discussions on the challenges of designing, developing, testing, and evolving AI-based systems.
Event
01–05 FEB 2027
UECE · Fortaleza, Brazil
Ceará State University
Registration open · Limited seats
About the event
About AIEng 2027
The first international event held in Brazil entirely dedicated to establishing AI Engineering as a scientific discipline and a modern engineering practice.
Hosted at Ceará State University (UECE) in Fortaleza, the event brings together leading researchers, developers, and architects from the global scene to discuss rigorous methodologies, safe design standards, and new paths for the specification, quality assurance, and evolution of complex AI-based systems.
See campus location ↗05days
Immersion in AI Engineering
Five days of talks, hands-on sessions, discussions, and networking.
200attendees
Expected audience
Students, researchers, and professionals from Brazil and abroad.
100%in English
International experience
All of AIEng's program and activities will be conducted in English.
Speakers
Invited Researchers
Prof. Andrea Zisman
The Open University
United Kingdom
Prof. Filipe Côgo
Queen's University
Canada
Prof. Amel Bennaceur
The Open University
United Kingdom
Prof. Leonardo Sousa
Carnegie Mellon University
United States
Prof. Marcos Kalinowski
PUC-Rio
Brazil
Who it's for
An experience for those building the future with AI
01
Undergraduate Students
Build a deep initial understanding of systematic methodologies beyond prompting, structuring your entry into the market on solid scientific ground.
02
Master's & PhD Students
Connect your academic research with real industry software engineering problems, discovering new frontiers and validating theoretical approaches.
03
Researchers
Exchange insights directly with top international references on formal verification, intrinsic uncertainty, and robust systems architecture.
04
Industry Professionals
Learn to architect CI/CD pipelines for models, ensure constant observability, and mitigate catastrophic failures in production.
“AIEng 2027 serves as a living bridge between rigorous theory and extreme software engineering, uniting different levels of maturity and experience.”
Fortaleza / BR
Experience
Activities & Format
01
Talks
Sessions led by nationally and internationally renowned researchers, bringing the state of the art in engineering robust machine-learning-based systems.
02
Hands-on
Intensive practical activities where theoretical concepts of design, pipeline deployment, systematic testing, and real-time model monitoring come to life.
03
Round Tables
Structured, interactive debates on new scientific research approaches, enabling a direct, productive exchange of pragmatic methodologies.
04
Industry Participation
Presentation of complex industrial problems and real cases solved, exposing the practical impact and operational costs of the AI technology transition.
Topics
Exploring the Challenges of AI Engineering
01
AI Systems Specification
How to elicit, formalize, and define technical and quality requirements in systems whose behavior emerges from data rather than fixed deterministic rules.
02
Software Development
Architectural practices and standards for integrating predictive models into corporate legacy systems in a modular and expandable way.
03
Testing & Quality (QA)
Robust methodologies for integrity validation, data mutation testing, adversarial robustness, and systematic failure-edge coverage.
04
Systems Evolution
Lifecycle management, concept drift mitigation, and automated continuous retraining pipelines.
05
Uncertainty in AI
Quantitative measurement, statistical modeling of operational risk, and active containment of unexpected or emergent model behaviors.
06
Human–AI Interaction
Design strategies, direct explainability for decision-making, and continuous feedback channels between operators and automated systems.
07
Governance & Ethics
Algorithmic auditing, compliance with protection and security regulations, technical transparency, and active mitigation of sociotechnical biases.
Program
Program
Five days of immersion in AI Engineering
An intense journey designed to cover all the fundamental and advanced aspects of engineering AI-based systems.
DAY_01 · 01/FEB
TBA
Program coming soon
DAY_02 · 02/FEB
TBA
Program coming soon
DAY_03 · 03/FEB
TBA
Program coming soon
DAY_04 · 04/FEB
TBA
Program coming soon
DAY_05 · 05/FEB
TBA
Program coming soon
Program coming soon
We're preparing the full AIEng 2027 program. Follow our channels to learn about detailed schedules, opening talks, hands-on activities, and the other experiences that will be part of the event.
Get email updatesRegistration open
Join AIEng 2027
Feb 01–05, 2027 · Fortaleza — Ceará — Brazil
Register for AIEng 2027* Seats are limited to ensure the quality of hands-on activities and hackathons.
Venue
Fortaleza hosts AIEng 2027
AIEng 2027 will be held in person at Ceará State University (UECE).
Ceará State University — UECE
Itaperi Campus • Av. Dr. Silas Munguba, 1,700 • Fortaleza — Ceará — Brazil
View on Google Maps ↗
Central Auditorium · UECE
Main meeting point and check-in
Fortaleza
AI Engineering meets Fortaleza
AIEng 2027 attendees will also have the chance to explore Fortaleza, the capital of Ceará and one of the leading destinations in Northeastern Brazil.
Sponsors
Companies supporting AIEng 2027
AIEng 2027 connects academia and industry around the real challenges of Artificial Intelligence Engineering.
Diamond
Platinum
Gold
Silver
Bronze
Sponsorship
Your company can be part of AIEng 2027 too
Associate your brand with the first international event held in Brazil dedicated exclusively to AI Engineering, and connect directly with highly skilled students, leading researchers, and senior professionals in the field.
I want to sponsor AIEng 2027Organization
Organized by
Organized by
Software Engineering and Distributed Systems Group — GESAD
Ceará State University — UECE
Coordination
Prof. Paulo Henrique Mendes Maia, PhD
AIEng 2027 Coordinator • Ceará State University — UECE