Below the AIBA course program. Please note the sessions that are marked with the green color: These are sessions where we concentrate on your business idea and demos.
It is of help if you study the various links that you find in the course program. Also note that this schedule can change, it is the first ever AIBA course and we try our best to make the process as smooth as we can.
You need to register yourself to UTU. You will receive an e-mail with further instructions. Attending to at least 100% in the first part and 90% of the second part will give you a personal diploma. One diploma for the first part and one for the second part. You will be asked for feedback after each session. It is of great importance that you give us feedback so that the next AIBA can be even better. Materials are handled out after the sessions.
The maps to the different places for the studies are found below the timeline. Move back to the Turku AI HUB page here.


Part 1: Friday 1.11 time 08:15 – 12:00 place: Agora XX

The first day is about where AI started, the pilot funding principals and standards.
Course introduction and a field map – General information about the course
Business Finland budgeting frame – In which framework can you get fundings for an AI pilot?
AI history – From where did all this start?
Data science – What is this?
CRISP-DM – Cross-industry standard process for data mining: resources, limitations, pitfalls, case studies, successes and failures. Check for more info about CRISP-DM here.
AI project specialties and quirks – project risks, CRISP-DM in practise, typical schedules and timetables
Attendee organisations survey – Project needs and potentials. Prepare yourself for presenting and discussions about your idea.


Part 1: Maanantai 4.11 08:15 – 12:00 place: XVII Quantum

The general information continues
Machine learning – general information regarding machine learning. What is supervised, unsupervised and reinforcement learning?
Ethics – ethical and legal aspects, data ownership
AI companies presentations – Presentation from companies that already have developed and implemented AI solutions
AI business plan homework – Information regarding the homework for the next session


Part 1: Friday 8.11 8:15 – 12:00 place Agora XX

The business plan and improving these is the focus of the last part
Business plan potpourri – includes company introductions!
Feedback – also AI companies presentations. See the company list below the time schedule
Improving the plans – teamwork


Part 2: Friday 15.11 time 8:15 – 12:00 place: Agora XX

We learn about practical tools and platforms as well as data driven AI.
Azure – Microsoft platform for running AI projects
Jyputer – For handling machine learning development
projects with a numerical component
Homework – Data specification homework


Part 2: Perjantai 22.11 time 08:15 – 12:00 place: Agora XX

Machine Learning (ML) methods is the content of this session. ML is the most used AI method and often the method called AI. But what is this in fact?
Machine Learning – classification, clusterization
customer data specifics survival analysis, recommendation and tournament methods
Demos with lab examples
Application to business plans


Part 2: Friday 29.11 time 8:15 – 12:00 place: XIV Natura

Data is the key to all AI. Data pre-processing and clean data is the most important thing.
Deep Learning – human data, customer data, DL in general. More info about DL here.
Feature engineering – How do you know what features is needed for doing machine learning, what should you consider? More info about feature engineering here.
Data exploration and visualization – How do you visually explore and graphically represent your data?
Visualization plans – How would you visualize your data in the best way?


Part 2: Thursday 5.12 time 08:15 – 12:00 place: Agora XX

Using text analytics in various projects is useful and not too hard. NLP (Natural Language Processing) is in focus in this session
Natural language processing and AI – What is natural language processing and to what can it be used?
Project plan sketching scheduling, resources, gains and risks
Round-table discussion – on project plans


Part 2: Friday 13.12 time 8:15 – 12:00 place: Agora XX

We have rached the end of the course: How do we continue with our project and / or our Pilot?
AI models – model, model validation overfitting, model complexity, CV
Cost functions – does AI bring real gains?
Polishing of the plans – scheduling, resources, gains and risks
Summary of the course – Where do we go from here?


Follow up (NOTE New date 2.3 2020 Data City auditorium)

We join with experts to discuss the outcome of the course. This is an open event
Expert speeches – Various guest talks around AI
What was the outcome of the course? – Did you get the information you needed? Did you get new ideas of how you could improve your processes?
What would you need now? – What kind of help do you need now? What kind of financing is there to help you on the road to a final product?
The next AIBA – What would you like to be improved in the next AIBA?

More information here


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Map to the Agora building in Turku:

XIV Natura, 3. krs
​XVIII ​Quantum, Vesilinnantie 5, 3. krs
​XX ​Agora, Vesilinnantie 5, 1 krs.