Learningpackages

You will find the learningpackages made in the AIMlearning-project below.

Sustainability and Responsibility

Basic information package to understand the responsibility concept.

By Maria Hofman-Bergholm RDI Expert

CSRD Workshop – Corporate Sustainability Reporting Directive

Responsibility

Articles

Centria Bulletin – New EU rules for companies to report on sustainability – a need for business administrators and professionals to specialize in sustainability reporting?

Centria Bulletin – Sustainability – a way of marketing or the responsibility of companies and organizations?

Centria Bulletin – The 17 sustainable development goals and sustainability – something we all together need to work towards

Well-being

Basic information on well-being, occupational health and prevention.

By Maria Hofman-Bergholm RDI Expert

How well do you take care of yourself?

Artificial Intelligence

Artificial Intelligence - Large Language Models

How do large language models work? What is prompting? What challenges can be associated with using artificial intelligence? How and where can AI be utilized? Legislation and ethical use.

Artificial intelligence modules 1-4

Artificial Intelligence (AI) can be defined as the ability of a digital computer to perform tasks commonly associated with intelligent beings.

In these materials, you will

define artificial intelligence in a single sentence,
list AI applications you have encountered,
classify AI applications into at least two categories,
identify key technologies used in AI development,
describe real-world applications of AI,
list major limitations in current (2024) AI technologies,
dentify two common tools used for AI software development,
explain the steps and basic principles of machine learning, and
identify ethical considerations in the use of AI technologies.

Prerequisites: basic programming knowledge, specifically in Python, is useful for the AI Software Development section.

This set of materials will introduce the learner to artificial intelligence and its concepts. It consists of the following modules:

Artificial Intelligence module 5 - Machine Learning

Machine Learning with Python

Expected skill level: Intermediate

This material is intended for someone who may know a bit of Python, but for whom machine learning is new. The guide is targeted for Windows, using Python virtual environments and Jupyter Notebook.

Articles

Centria Blog: AI can support learning when used wisely

Artificial intelligence is encountered daily in connection with the use of many different devices. Although there is good reason for the popularity of the technology, many of its highly praised use cases seem to turn against themselves right from the outset. The situation can be compared to the release and lifecycle of smartphones. Early versions were clumsy to use, involving awkward tapping with a stylus. Over time, they evolved into useful tools, and today many services cannot be used without a phone. Regardless of how artificial intelligence ultimately develops and affects our lives, the technology seems likely to remain a permanent fixture, and at a certain point its benefits will begin to outweigh its weaknesses.

Data analytics

Data-analytics modules 1-3

Data analytics refers to using data and analytical tools and techniques to find valuable information for making predictions.

In these materials, you will

define the concept of data analytics and its role in data science,
identify various data structures and database types with applications, and
study some key methods in data analysis.

Prerequisites: None

This set of materials consists of the following modules:

Cybersecurity

Cybersecurity modules 1-3

Cybersecurity is a technology, measure, or practice to prevent cyberattacks or mitigate their impact.

In these materials, you will

analyse how cybersecurity is involved in your work and what your role is in overseeing it,
identify aspects of cybersecurity,
list reasons why protecting personal information is important,
explain safe practices for protecting personal information, and
study cyber-secure program code and potentially develop ways to write more secure software.

Prerequisites:

basic programming knowledge, specifically in Python, is useful for the Cybersecure Software Development section.

Future and Worklife skills

Systems Thinking – A prerequisite for sustainability, planetary health and well-being.

What is it like to be an entrepreneur in Finland? What skills will you need in the future when entering the workforce?

The following materials where presented at the EnterFuture! event organized by the AIMlearning project.

Entrepreneurship in the Gaming Industry by Juho Kuorikoski.

Juho Kuorikoski is a game designer living in Kaustinen. He founded Horsefly Games and has worked in the games industry for the past 10 years. During this time, he has released five commercial games and written several books covering the games industry and games in general. He has also worked as a contributor at Pelit magazine, one of the oldest games magazines in the world. Additionally, he works as an R&D Expert at Centria.

Entrepreneurship and integration to Finnish society by Mashuk Karim.

Mashuk Karim is an entrepreneur in Keski-Pohjanmaa area since 2010. As a non-native citizen, he has experienced different aspects of life and society to successfully start and run a business in Finland. He has had a broad experience with various type of businesses. Among of them all, musical event hosting, fast food business and consulting for new entrepreneurs. In this event he talked about entrepreneurship and integration to the Finnish society as a foreign person.

Workshop by Marianne Murto entrepreneur and team coach at MindMe Solutions.

Marianne Murto coaches on a wide range of topics related to teamwork, such as interaction skills, leadership, and teamwork development. In this workshop we discussed future work life skills and how to support collaborative thinking, especially in a remote environment. We will learned about the skills needed in today’s work life and how we can succeed in them – together.

Presentation skills

Remote Work and Remote Guidance

The remote guidance manual

The remote guidance manual developed in the AIMlearning project provides companies and organizations offering remote work opportunities, as well as employment service professionals, with tips and advice to improve the quality and success of work trials or internships carried out remotely.

Job‑seeking skills

Well-being

Responsibility

Critical Thinking

Problem-Solving

Problem solving is one of the most important skills for the future. It enables you to operate in a constantly changing world, develop your own thinking, and find solutions to situations where ready-made answers may not exist.

With this material, developed as part of the AIMlearning project, you will have the opportunity to explore your own ways of solving problems and practice skills that are useful in different areas of life.

Ennakointi

Maailma muuttuu nopeammin kuin koskaan aiemmin. Teknologia, työelämä ja yhteiskunta kehittyvät jatkuvasti – ennakointi on noussut yhdeksi tärkeimmistä tulevaisuuden taidoista.

Ennakointi ei tarkoita tulevaisuuden ennustamista. Se tarkoittaa kykyä tunnistaa muutossignaaleja, ymmärtää vaihtoehtoisia tulevaisuuksia ja toimia niiden pohjalta viisaammin jo tänään.

Tämä osaamispaketti johdattelee sinut ennakoinnin keskeisiin käsitteisiin, menetelmiin ja käytäntöihin.