General information

Course type AMUPIE
Module title AI Transformation & Engineering
Language English
Module lecturer dr Wojciech Czart
Lecturer's email czart@amu.edu.pl
Lecturer position Senior Lecturer
Faculty Faculty of Physics and Astronomy
Semester 2026/2027 (winter)
Duration 60
ECTS 5
USOS code 04-W-AITE-45

Timetable

Class schedule:Tuesday 16:30 - 19:30

The first class will take place on the 6th of October. 

The Class will take place in the Computer Lab. no. 42 at the Faculty of Physics and Astronomy 
Located at: Morasko Campus
Address: Uniwersytetu Poznańskiego 2, 61-614 Poznań

See how to get to the class

You can pre-register to the class with contact information form: https://forms.cloud.microsoft/e/sMUbRgq7zV 

60 hour course with lectures and laboratories (3h class weekly)
 

Module aim (aims)

The aim of this module is to transition students from consumers of AI to Intelligence Engineers. We define Intelligence Engineering as the discipline of accumulating, structuring, and directing synthetic cognition.

By the end of the course, students will assume two global-level roles: the AI Transformation Engineer (retrofitting the professional world for the AI Age) and the AI Engineer (architecting the native systems of tomorrow). The value focus shifts from "training a model" to orchestrating a workforce of models (Agentic Systems) to solve complex, multi-step domain problems.

Pre-requisites in terms of knowledge, skills and social competences (where relevant)

Students should possess a solid foundation in general computer usage. While the course covers advanced Agentic Architectures and Generative Engineering, it is designed to be accessible to motivated students. The Generative Toolkit (Class 1) and Cloud Laboratory (Class 2) provide the necessary technical on-ramping.

Syllabus

 

    1. Neural Networks & Generative Interfaces

 

    1. The Cloud Laboratory: Compute & Data Pipelines

 

    1. The Paradigm Shift: Intent vs Intelligence

 

    1. The Agentic Brain: Semantic Memory & Retrieval

 

    1. Advanced Methodology: Context & Grounding

 

    1. Agentic Architecture: Cognitive Systems Design

 

    1. Sovereign AI: Local Inference & Model Distillation

 

    1. Orchestration Layer: Workflow Engines & Security

 

    1. Agentic Patterns: Reasoning & Emergence

 

    1. Defensible Evaluation: Auditing & Risks

 

    1. Multimodal Generation & Agentic Interfaces

 

    1. The Edge: Project Defense & Deployment



Assessment (Course Portfolio) The Semester Project is mandatory. Students must build a robust, multi-agent system (Agentverse) that demonstrates Generative Competence and Agentic Architecture.

Elective Topics



    1. AI Systems Security & Operational Engineering

 

    1. Quantum AI & Neuromorphic Computing

 

    1. Spatial Computing & Embodied Intelligence

 

    1. Geometric Deep Learning & Synthetic Cognition

 

Reading list

Scripts, presentations, webinars, and Agentic Design Patterns delivered by the lecturer, as well as access to the Antigravity Stack resources.