Skip to content

INVITATION TO ONLINE TRAINING: PLANNING AND IMPLEMENTING AN ARTIFICIAL INTELLIGENCE PROJECT IN ENTERPRISES

What is the state of robotics in Estonian industry at the moment and where do we want to go in the future. On the Webinar, the robotability of the world is looked at numerically in comparison with Estonian statistics.

An overview of the various types and manufacturers of widely used industrial robots is given.

The current and future situation of Estonia in robotization will be discussed with specialists. Mitigate the risks of your industrial company and difficult-to-predict decision-making with the knowledge offered by the AIRE center’s training “Planning and conducting an artificial intelligence project in an industrial company”.

The course, which will take place between January 23 and February 12, 2023, offers an approach to how the application of artificial intelligence and data science capabilities can contribute to decision-making processes in a rapidly changing market situation.

In the future, artificial intelligence and data science will be an integral part of competitive business processes. But what it actually means, where to start and what are the possibilities that come with it, these are questions that need answers right now.

In the course, we present the opportunities and benefits created by the application of artificial intelligence and data science in the decision-making processes of industrial companies.

➠ See also the VIDEO introducing the training.

TARGET GROUP
Employees of small and medium-sized industrial companies are invited to the course. In case of participation, the company will be granted de minimis aid (VTA) in the amount of €480 per participant (the limit for granting aid is €200,000 per company over three financial years). Up to 2 participants per company are allowed.

The course is aimed at employees of industrial companies who want to familiarize themselves with the possibilities of digitization of production. In professions: industrial managers, engineers, foremen, and IT specialists, etc.

The training will be conducted by the leaders of the field: Elena Sügis (PhD), lecturer of the data science chair at the University of Tartu, and Liis Kolberg (PhD), data scientist at Nortal AS.

The training is structured on the principle that participants can easily fit the course into their daily tasks:

➠ video lectures that participants can watch at a time convenient for them;
➠ practical webinars, which also contain experience stories from practitioners;
➠ self-tests to consolidate learned knowledge.

THEMES
➠ about the nature of artificial intelligence and data science and the possibilities for industrial companies;
➠ about various data science techniques (e.g. machine learning and descriptive business analytics);
➠ planning of projects implementing artificial intelligence

Based on the feedback of previous participants, the course is a good springboard for how to approach the topic of introducing AI in your company systematically and on a large scale, and how to understand data in order to increase the profitability of your manufacturing company.

Upon successful completion of the training, students will gain the knowledge of:
➠ understands the nature and possibilities of artificial intelligence and data science in an industrial company;
➠ can distinguish between different methods of artificial intelligence;
➠ can plan possible projects using artificial intelligence.

➠ Those who complete the training receive a certificate of advanced training from the University of Tartu.

The deadline for registering for the training is January 18, 2023.

You already have knowledge of artificial intelligence project planning, but you need implementation on the example of your company – come and take part in the advanced course “AI project planning practical course” from 20.02 – 3.03.2023.

Come and find out how by applying artificial intelligence and data science, it is possible to open new digital windows in an industrial company.

ADDITIONAL INFORMATION

For more detailed information about the courses, please contact us at 5220426 Helen Jõesaar or koolitused@aire-edih.eu

The gateway to AIRE’s services is the company’s digital maturity assessment (DMA) consulting service, which helps map your company’s strengths, bottlenecks and their impact on the company’s operations. By registering for the AIRE training for the first time, the company receives DMA consulting service from IMECC OÜ in terms of minor assistance. Read more HERE. AIRE will contact the company regarding the service after registration.

_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _

SCHEDULE

WEEK 1 /23. – 29.01.2023 /

/Before the webinar/ Video Lecture 1: Introduction & CRISP-DM
The first lecture introduces the CRISP-DM AI project planning methodology and data collection best practices.

/26.01 at 10:00–12:00/ Webinar 1: Introduction & CRISP-DM

During the seminar, we will discuss the practical aspects of artificial intelligence project planning and solve practical tasks. In addition, we discuss the practicality of artificial intelligence in an industrial enterprise.

WEEK 2 /30.01 – 5.02.2023 /

/Before the webinar/ Video lecture 2: Artificial intelligence methods and machine learning

In the lecture, we will focus on different artificial intelligence methods and their uses.

/2.02 at 10:00–12:00/ Webinar 2: Machine learning and business analytics

During the seminar, we solve practical tasks to understand how to choose the right method for a specific task in an industrial company. We also demonstrate the application of artificial intelligence/machine learning methods in the business domain.

WEEK 3 / 6. – 12.02.2023 /

/Before the webinar/ Video lecture 3: Use of artificial intelligence methods

practical examples of

The third lecture focuses on the application of artificial intelligence methods in customer management and predictive maintenance.

/9.02 at 10:00–12:00/ Webinar 3: Practical examples of the use of artificial intelligence methods

The seminar focuses on practical use cases of artificial intelligence in both predictive maintenance and customer management.

TEACHERS

Elena Sügis, PhD (responsible trainer)

Dr. Elena Sügis is a lecturer with versatile data analysis and teaching experience at the Chair of Data Science at UT. In the private sector and at UT, he has developed software and applied artificial intelligence methods to combine bio and health data according to FAIR data standards. In addition, Elena worked as a software development quality manager in the project “Application of personal medicine in Estonia”, where she developed quality management system software for the creation of medical devices in accordance with European regulations. Today, his main focus is to bring innovative technologies and their application to everyday life. In the framework of this goal, Elena has led the creation of the popular courses “Artificial Intelligence Basic Course”, “Data Science Opportunities in a Business Company”, “How artificial intelligence can support healthcare”, which were attended by more than 4,000 people.

Liis Kolberg, PhD

Liis Kolberg is a data scientist at the software development company Nortal AS and a research software engineer at the chair of data science at the University of Tartu. Liis has been involved in the development of various data-based solutions and the implementation of machine learning methods both at the university and in the private sector. In his daily work, he is currently dealing with process optimization in industry. In addition, Liis has taught a machine learning course at UT and conducted various short courses on basic programming knowledge.
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _

NOTES

• The gateway to AIRE services (including participation in courses) is the company’s digital maturity assessment consulting service, which is carried out during and after the course. Service introduction HERE.
• It is possible to participate in the course for companies of the target group that have a free balance of minor aid (VTA) (the limit is 200,000 euros per company over three financial years).
• When participating in the course, the company is given minor aid by the state in the amount of €480, per participant.
• By registering for the course, the company confirms permission to use the VTA balance for participation, which is non-refundable in case of non-participation in the course (up to 10 working days before the start) or interruption.
• The minimum number of participants for the course is 15.
• Up to 2 people from one company can participate.
• If desired, it is also possible to participate in the course based on an invoice (including employees of large companies). The invoice sent by e-mail must be paid before the start of the training by the payment deadline indicated on the invoice.

Check out the constantly expanding AIRE training program HERE.

The artificial intelligence and robotics center AIRE (EDIH) is financed by the European Digital Innovation Centers sub-programme of the Digital Europe Program and the Ministry of Economic Affairs and Communications (Project no.: 101083677).

When participating in the webinar, the company receives minor assistance (VTA) in the amount of €200 per participant.

TARGET GROUP
Small and medium-sized processing industry (EMTAK C) and manufacturing companies are invited to participate.

The courses are aimed at employees of industrial companies who want to get acquainted with the possibilities of digitization of production and industrial robots (industrial managers, engineers, foremen, automatists, mechatronics, technicians and locksmiths and industrial operators and product manufacturers, including warehouse workers, electricians, IT specialists, etc.).

The webinar is conducted by Indrek Virro, an experienced production engineering lecturer at the Estonian University of Life Sciences.

THEMES
1. Robotability of the world and Estonia in numbers;
2. Types and manufacturers of industrial robots that are more in use
3. Discussion with spetaslist: Estonian robotization trends and feasibility of robotization.

The participant in the webinar knows:
• industrial robots both by classification and manufacturer;
• the nature of the robot density indicator;
• future possibilities of robotics for Estonia.

➠ Those who complete the training receive a certificate of continuing education from the Estonian University of Life Sciences.

The deadline for registering for the training is November 24, 2022.

TERMS OF PARTICIPATION

• The condition for participating in the course is to fill in the AIRE digital maturity assessment form for your industrial company. Detailed information will be sent to your e-mail after registration.
• The minimum number of participants for the course is 15.
• Up to 2 people from one company can participate.
• Participation in the course is free for companies of the target group that have a free limited aid (VTA) limit (the limit for granting aid is 200,000 euros per company over three financial years).
• When participating in the course, the state grants the company VTA in the amount of 200 euros, per participant.
• By registering for the course, the company gives permission to use the VTA balance for participation, which is non-refundable in case of non-participation or interruption of the training. *Participation can be canceled up to 10 working days before the start by sending an e-mail to kostosed@aire-edih.eu.
• If desired, it is possible to participate in the course (including employees from large companies)

also on the basis of an invoice. The invoice sent to the e-mail must be paid before the start of the course by the payment deadline indicated on the invoice.

For more detailed information, please contact us at +37255617070 (Marten Madissoo) or kostosed@aire-edih.eu.

Come to the training and start preparing for a competitive future right now!

TEACHERS
The Estonian University of Life Sciences is included in the ranking of the world’s 100 best universities in the field of agriculture and forestry, ranking 65th (QS World University Rankings by Subject 2022). In the international ranking, the rural university is among the top 1000 universities, ranking between 801 – 1000 (Times Higher Education 2022).

The University of Life Sciences is among the 1% most cited research institutions in the world in the fields of plant and animal sciences and environment and ecology (Clarivate Analytics).
Our responsibility lies in the interaction of agriculture and land management, forestry, environmental sciences, veterinary medicine and animal husbandry, technical and engineering sciences. The University of Life Sciences creates and shares knowledge for the promoters of the bioeconomy for the benefit of nature and people.
Nearly 3,000 students study on the modern campus and more than 900 people work, about half of whom do research and teaching at an international level.

Check out the constantly expanding AIRE training program HERE.

The artificial intelligence and robotics center AIRE (EDIH) is financed by the European Digital Innovation Centers sub-programme of the Digital Europe Program and the Ministry of Economic Affairs and Communications (Project no.: 101083677).