AI Bootcamp Programme

With the rise of AI-driven innovation and new project grants, the LARES research group expanded its focus on artificial intelligence across key sectors like energy management, logistics, transportation, weather forecasting, and agriculture. While AI has been an integral part of our research for over 20 years, recent industry trends have propelled it back into the spotlight. To share our expertise, our senior researchers are leading a series of intensive one-week "AI Bootcamps." These hands-on courses provide practical knowledge in machine learning, AI algorithms, and mathematical optimization, equipping participants with the skills to tackle real-world challenges.

Courses available

Flagship introductory AI course bringing ML/AI basics to the table.

Specialized (intermediate) ML course tailored for time series data analysis and forecasting.

Teaching the fundamentals of mathematical optimization and its applications.

Programme details

The AI Bootcamp Programme offers a series of intensive one-week courses designed to provide a comprehensive foundation in artificial intelligence, machine learning, and mathematical optimization. Beginning with the introductory Foundations of AI course, progressing through Time Series Forecasting, and culminating with Mathematical Optimization, this curriculum is structured to equip participants with the essential knowledge and practical skills necessary for data-driven analysis and the development of decision-support systems.

The programme is carefully designed to convey cutting-edge tools and methodologies through the use of real-world data and case studies, serving as an effective entry point into the field of artificial intelligence. By integrating both theoretical and hands-on learning, participants gain a well-rounded understanding of AI concepts, enabling them to either implement AI-driven projects or further specialize in the underlying methodologies. The courses place a strong emphasis on practical implementation, offering extensive hands-on experience in Python programming alongside real datasets to ensure participants can seamlessly apply these techniques to real-world challenges.

This programme is tailored for professionals seeking a specialized, fast-track introduction to AI, machine learning, and optimization techniques. It is particularly suitable for business leaders, technical professionals, and analysts aiming to develop predictive and optimization models. While prior experience in a technical field and a strong analytical mindset are beneficial, the bootcamp lays a robust foundation in AI, equipping participants with the knowledge and tools required to navigate and leverage AI methodologies effectively in their respective domains.

Programme highlights

ALL INCLUSIVE

Comprehensive resources and materials provided to all the participants, including:

Presentation Materials – Clear and structured content for reference during and after the course.
Python Code Notebooks – Hands-on coding examples and interactive learning tools.
Code Exercises & Solutions – Practical tasks with guided solutions to reinforce concepts.
Datasets – Real-world data for experimentation and application.
Additional Literature & References – Curated readings to deepen understanding and explore further.

Lunch :)

PARTICIPANT-FOCUSED

Participants remain in the core focus throughout the entire programme:

Small Groups – Limited to 15 participants for interactive and effective learning.
Multiple Lecturers – Providing diverse expertise and perspectives throughout the course.
1-on-1 Attention – Offering personalized guidance and support for each participant.
Individual Business Case Brainstorming – Tailoring discussions and exercises to participants' specific challenges and interests.
Personalized Learning – Connecting course materials to participants' backgrounds and industry experiences.

APPLICATION-ORIENTED

Bridging theoretical foundations with real-world applications through:

Real-Life Datasets – Working with authentic, industry-relevant data to solve practical problems.
State-of-the-Art Tools – Utilizing the latest AI frameworks and technologies used in the industry.
Industry-Relevant Case Studies – Applying concepts to real-world scenarios and business challenges.
Hands-On Projects – Engaging in practical exercises that mirror professional AI applications.

UP TO DATE

The programme remains up to date with the rapidly evolving AI landscape through:

Continuous Content Updates – Regularly incorporating the latest research, technological advancements, and industry trends.
Industry Alignment – Ensuring relevance by adapting to real-world AI applications and emerging best practices.
Adaptive Curriculum – Responding to rapid changes in AI by integrating new tools, frameworks, and methodologies.
Hands-On Learning – Providing practical exercises and case studies that reflect the latest AI developments.

Meet the team

Asst.prof., Ph.D.

VINKO LEŠIĆ

Ph.D.

HRVOJE NOVAK

Asst.prof., Ph.D.

ANITA BANJAC

Ph.D.

NIKOLA HURE

M.Sc.

FILIP RUKAVINA

Get in touch and apply for our courses

Address	Laboratory for Renewable Energy Systems (LARES) Faculty of Electrical Engineering and Computing Unska 3 HR-10000 Zagreb Croatia
Phone	+385 1 6129 893
Email	hrvoje.novak@fer.hr

How it's been so far

Programme rating 4.9

"You have introduced us to an exciting and fast-growing area that is the future."	"Great lectures structure, which made such a complex topic easier to follow."	"I especially liked the expertise of the lecturers and the presentation of real-world examples."
"I liked that the lecturers were open to questions from the audience and provided satisfactory answers to them."	"I liked the practical tasks that gave me some sense of how AI actually works."	"I liked that the lecturers showed that they cared about us learning something and that each course participant understood the material being taught. They managed to explain the topics regardless of the amount of prior knowledge."
"The team did a great job of organizing and presenting all the important things about machine learning. We're left with the presentations and notebooks, but I think the accompanying tips and advices are what really makes the course stand out."	"An excellent foundation for continuing education in the field of AI."	"Completeness of the course; preparation through notebooks; expertise, resourcefulness and endurance of the lecturers."
"All praise for the lecturer's accessibility, expertise, and willingness to explain the material to course participants in a clear and understandable way."	"Excellently designed course. It helps a lot when you first do the theoretical part and then immediately apply it. The lecturers covered each part very well, and they had no problem explaining it further if anything was unclear."	"Loved the lecturer's way of teaching. The conciseness of the topic is just right to provide some introductory breadth."