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Artificial Intelligence Learning Module

In this module, you will learn about the basics of artificial intelligence (AI) . AI and machine learning are changing the way we live and how we work. Within this short course, you will recognize the user needs and find the intersection between user needs and AI strengths, collect and evaluate the required data.
ENROLL
The piloting of the modules for AI and CS have been prepared as a project week where learners are going to work in smaller groups. On the first day, experts from companies will present and explain the areas of artificial intelligence and cybersecurity. The learners will then be grouped and learn about the challenges they are going to work on during the week. The second and fourth days are dedicated to solving challenges, finding a solution and preparing a presentation of the activities carried out. On day three, a virtual tour of the company Kolektor Digital is planned. The last day is reserved for finalizing the presentations and presenting the learner’s ideas/solutions to company experts and teachers. The learners will be awarded micro-credentials for gained skills.
Describes the fields where AI is used (computer vision, speech recognition, natural language processing, social network filtering, games, mobile advertising,…), finds the examples where AI is probably better and where a rule or heuristic-based solution will work, defines user needs, possible solutions and assess whether AI can uniquely solve the problem.
  • identifies which users problems is AI positioned to solve;
  • asses automation vs. augmentation;
  • queries data from multiple sources like relational databases, IoT devices, social networks, data warehouses
Recognizes user needs and find the intersection between user needs and AI strengths, collection and evaluation of the required data.

Learning from the best

Borut Sluban
Borut Sluban is leading a team of data scientists in the Business Intelligence Department at GEN-I. His team focuses on supporting the company’s commodities trading, risk management, and innovative energy services by developing analytical and data-driven solutions. Prior to joining GEN-I he was working as a scientific researcher at the University of Zurich in Switzerland and at the Jožef Stefan Institute in Slovenia. His work interests are in the broader area of data science, where he enjoys combining analytics, machine learning and data visualization for predictive modeling and discovering insights from data.
Linkedin

Learning from the best

Mateja Lavrič
Mateja Lavrič is a managing director at Kolektor Ventures, a corporate venture capital fund, investing in startups that work with exponential technologies and are developing solutions for industrial environment. Also member of Kolektor Digital’s core team. Kolektor Digital is an emerging business unit, established by multinational Kolektor, based in Idrija, Slovenia, with 37 manufacturing companies around the globe and more than 5.500 employees. Digital develops solutions for smart factories.
Linkedin

Learning from the best

Aljaž Gec
Aljaž Gec is a teacher of programming and database subjects at the secondary school of computer and electrical engineering at the school centre in Nova Gorica.
Linkedin

Level

Credentials

Talentjourney Certificate with Signature

Start date

27/09/2021

Duration

Monday, Tuesday, Wednesday, Thursday & Friday
8:00 – 13:00 CET

Location

At school, in the laboratory- UIL, in a company, virtual

Price

This training is free

Way of delivery

Online and at school

Software

Discord, Orange Data Mining, Powerpoint,

Contact

Aljaž Gec
aljaz.gec@scng.si

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