InnoEnergy
For Students

Co-funded by the

European Union

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EIT InnoEnergy home pageFor StudentsMaster SchoolAI for smart energy: master certificate
AI for smart energy
Master certificate
Register here
AI for smart energy
Master certificate
Register here
AI for smart energy
Master certificate
Register here
1st

programme in AI for the energy sector

8

weeks – including live online sessions

45+

contact hours

~70

hours of hands-on learning

The programme

Master the dynamic world of data and artificial intelligence in energy innovation. Learn to analyse, forecast and optimise energy flexibility and demand.

 

This master level certificate programme is designed for go-getters who want hands-on experience navigating the data science pipeline for real-world energy applications.

 

Boost your career with the 1st AI certificate programme designed for the energy sector.

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Learn more during our webinar on 28 November

Overview

Format: Weekly live online & coaching sessions, flexible learning with hands-on projects.

 

Course dates:  12 February – 05 April 2024

 

Investment:

 

Early bird fee (register before 15 December): 3,450 EUR

Regular fee: 3,950 EUR

Alumni fee: 2,950 EUR (for graduates of EIT InnoEnergy Master’s or PhD programmes)

 

Payment in instalments available.

 

Who is this programme for? 

 

This master certificate is designed for professionals with an understanding of core concepts in energy and power engineering. A minimum of two years of work experience and profiency in programming language (Phython) is desirable..

 

Useful resources will be provided to participants with no prior experience in Python.

 

Interested? Book a 1-1 meeting with our advisors
Become employer’s top choice!
At Schneider Electric, we are committed to solving real-world problems to create a sustainable, digitised, new electric future. Artificial Intelligence contributes to transforming industries and helps unlock efficiency and sustainability. Professionals with dual competencies, in data science and energy, are extremely valuable to us!

Claude Le Pape-Gardeux, Artificial Intelligence Hub Schneider Electric

Course trainers
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Prof. dr. Hussain Kazmi 

Research professor in energy and data science at KU Leuven, with international background, having worked and studied at top engineering universities around the world including London, Singapore, Sweden, the Netherlands, etc. His current research interests include large-scale data-driven forecasting and optimisation, as well as how human behaviour, climate change, and market design. He was awarded the prestigious IIF-SAS forecaster of the year award in 2021, and has also held several positions as a senior data scientist and researcher in the energy industry. Hussain is also alumnus of EIT InnoEnergy PhD School.
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Attila Bálint 

PhD Candidate at KU Leuven. Experienced data scientist with a demonstrated history of working in the information technology and energy industry at two successful cleantech start-ups.  Strong engineering professional graduated from EIT InnoEnergy’s Master in Renewable Energy with a double degree focused on Energy Engineering from Universitat Politècnica de Catalunya and École Polytechnique.  
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Balazs Horvath

Accomplished coach, trainer, and data scientist with extensive experience in innovation and entrepreneurship. As a co-founder of Kimitisik, he has played a critical role in delivering short-term innovation and entrepreneurship education programmes to university students and professionals and leading the company’s startup consulting services. Additionally, Balazs has a strong background in software architecture, ensuring that clients’ systems are robust, scalable, and efficient.

Contact us

Get in touch with one of our representatives who will answer your questions about this programme:

 

:   +44 7407 303554

:  innoenergy@studyenquiry.com

:   +44 3331 500488

Book a 1-1 meeting with our advisors.

 

Or join us for the webinar “Boost your skills: AI for smart energy” on 27 November to get all your questions answered.

What is included in the master certificate programme?
Where will the course take place?
What are the pre-requisites?
What is the expected time investment?
How much programming / Python background is required for the course?
What do I need to do before the course?
Will lectures be recorded / made available?
How does one pass the course? Will I get credits?
What does the project entail? Is it in groups?
What is the required software and hardware to participate in this MSc certificate programme?
How can a learner interact with the course trainer?
What are the terms & conditions when joining this course?