Modul on May 5th:
AI core concepts and applications
This module is designed to give you a solid understanding of what artificial intelligence is, how it works, and how it affects our world. Artificial intelligence is a field that has the potential to transform many aspects of our lives, from the way we work to the way we communicate, learn, and even entertain ourselves. In this module, we will delve into the history of AI, its basic concepts, and the different types of AI. You will explore the core building blocks behind modern language technology, and why these concepts matter in real organisational use cases.
Throughout the day, we connect the technology to practice, industries and the potential benefits and challenges it brings; exploring how it is transforming workflows, automating complex tasks, enabling new services and products, and supporting better decision-making.
Through interactive learning sessions, discussions, and hands-on exercises, you’ll gain a strong understanding of AI’s core concepts and gain a solid foundation to continue your journey in AI.
By the end of this module, you will have a clear understanding of what AI is, how it works, and how it can be applied. You will also be ready to dive deeper into the more advanced topics of AI in the upcoming modules.
Lecturer: Professor Anders Kofod-Petersen
Module on May 13th:
Machine Learning and Deep Learning in Business
This module is designed to equip you with an in-depth understanding of machine learning and deep learning, and how they can be applied to create business value. In today’s business world, the ability to leverage data to make informed decisions is essential. Machine learning and deep learning are powerful tools that can help businesses (public or private) do just that. These technologies can help businesses identify patterns, understand customer behavior, improve products and services, optimize operations, and more.
In this module, we will dive into the key principles behind machine learning and deep learning. We will examine different types of algorithms, including supervised learning, unsupervised learning, and reinforced learning, and delve into complex neural networks that drive deep learning. We will also learn about the different applications of machine learning and deep learning in different industries.
Through expert lectures, practical projects and case studies, we will understand how machine learning and deep learning can transform business processes and create value. We’ll look at real-world examples of companies that have used machine learning and deep learning to improve their performance and examine the strategies they’ve used.
By the end of this module, you will have a solid understanding of how machine learning and deep learning work and how they can be applied in a business context. You will be equipped with the tools needed to implement and manage AI projects effectively, and understand how to use machine learning and deep learning to drive innovation and create competitive advantage.
Lecturer: Rasmus Steiniche, founder and CEO Neurospace
Module on June 2nd:
Generative AI & Natural Language Processing (NLP)
This module is designed to give you an in-depth understanding of Generative AI’s many business opportunities and the other types of Natural Language Processing (NLP). NLP is an exciting and rapidly evolving subcategory of artificial intelligence that focuses on processing, understanding, and generating natural language that enables the natural interaction between humans and machines.
Generative AI, powered by Large Language Models (LLMs) such as GPT, is widely experienced through tools like ChatGPT and Microsoft Copilot. Its applications are continuously unfolding as new and more capable models are trained, and functionality expands to include new modalities, such as images. Today, the technology has already proven its value in customer service, ideation, content generation, copywriting, workflow automation, product development, decision-making, internal communication, education and training, data analysis, and research. In many ways, it is now only imagination, and responsible implementation, that sets the limits. Generative AI will therefore inevitably have a significant impact on your workplace.
We explore the fundamental principles and techniques of Natural Language Processing, including syntactic analysis, semantic understanding, contextual interpretation, and sentiment analysis. We will explore how machines can “learn” languages through both rule-based systems and statistical methods, as well as look at the latest advances in the field.
By the end of this module, you will have a solid understanding of Generative AI, ChatGPT, Copilot, and Natural Language Processing — and be able to apply your new knowledge in practice.
Lecturer: Frederik Holse, AI-specialist with Microsoft
E-learning at your conveniance:
AI & Sustainability
You can take this module wherever you are — from a rooftop terrace, by the beach, or in the comfort of your own home. It is a curated collection of video lessons exploring the intersection of sustainability and AI.
How can artificial intelligence help address the sustainability challenges facing our planet? The truth is: it can. With the right data and responsible use, AI can play a powerful role in reducing overconsumption, lowering CO₂ emissions, preventing overproduction, extending product lifecycles, and enabling more sustainable solutions.
At the same time, we also ask the critical question: to what extent is AI itself part of the problem — with its energy-intensive data centres and growing environmental footprint?
Lecturer: Rasmus Steiniche, founder and CEO Neurospace.
E-learning at your conveniance:
Ethics, Bias, Regulation, and Future Scenarios in Artificial Intelligence
This module is fully flexible as well and can be completed at your own pace — wherever it suits you best.
This e-learning addresses both the legal and ethical aspects of working with and using artificial intelligence. It introduces key EU regulations and emerging standards shaping the responsible use of AI. The primary focus is on the complex ethical challenges and potential risks associated with AI, with particular attention to the role of data in society, in society, organisations, and its impact on individuals. Through practical examples, dilemmas and exercises, we we examine what is responsible and what is not responsible in both the public and private sectors. In addition, we review the predictions and future scenarios that exist with AI.
By the end of this module, you will have a clear picture of the ethical challenges and potential threats associated with AI. You will understand the legislation in the field and have a clear understanding of AI’s implications for business, society, and the future.
You will thus be able to make informed, ethically sound decisions in your future work with AI, and contribute to creating a future where AI is used to create positive change.
Lecturer: Pernille Tranberg, author and advisor in data ethics and AI.
Module on June 16th:
Strategisk AI application
In this final module, the programme becomes highly hands-on once again. You will work practically with the key elements and components that form the foundation of an AI roadmap and successful AI adoption in organisations.
The Lecturer will guide and challenge you through the critical considerations and decisions behind a clear AI vision and the strategic choices required to enable effective AI adoption in practice.
Through a mix of short expert lectures, innovation exercises, group discussions, individual reflection, and plenary dialogue, you will work to define and explore the needs for your workplace/organisation, and how to translate strategic intent into clear goals.
The module focuses on building the necessary organisational capacity, mobilising the right people and resources, engaging key stakeholders, and managing the change and resistance that often accompany AI implementation.
Lecturer: AI-entrepreneaur, AI author, founder and CEO Dan Rose Johansen.
Academically strong curriculum
Prior to the programme, you will receive the curriculum for each teaching module (approximately 900 pages in total throughout the Mini MBA). The curriculum is carefully curated by leading professors and AI experts, ensuring you gain access to the most essential knowledge within artificial intelligence. The material includes a rich mix of books, academic articles, practical resources, and selected videos.
Six-time Gazelle Award winner
A gazelle can reach speeds of up to 100 km/h as it races across the African savannah. Most of us, however, rarely move at more than walking pace on our way to the coffee machine in the morning. Still, according to the Danish financial newspaper Børsen, there are gazelle skills hidden within Aros Business Academy. In fact, we have currently been recognised as a Gazelle company six times.
DK
Eng.
Grønland
Island
Færøerne
Svenska
