AI For Business
Master AI and machine learning for business innovation and success
Transform processes with cutting-edge strategies and ethical AI practices
This module will equip you with essential skills in AI and machine learning, focusing on innovative applications, ethical practices and business optimisation.
In this transformative AI for Business module, you’ll dive deep into the core concepts of artificial intelligence and machine learning. Through a blend of theoretical knowledge and practical application, you will learn to design, train and evaluate advanced ML models.
Our innovative curriculum includes real-world projects, strategic AI applications, and a strong emphasis on ethical and sustainable practices. By mastering these cutting-edge technologies, you’ll be empowered to drive efficiency, enhance decision-making, and gain a competitive edge in the business landscape. Join us and become a leader in the AI-driven future.
Innovative online learning with expert guidance and hands-on activities
The fully online module employs an innovative hybrid learning approach, alternating between synchronous and asynchronous activities. Expert tutors guide you through lectures, individual study, and hands-on laboratory work. We incorporate key strategies such as problem-based learning and the flipped classroom model to enhance engagement and understanding.
Emerging technologies, including AI, are utilised to enrich your learning experience. Formative assessments provide ongoing feedback to help refine your study approach. The course is assessed through a project (50%) and a proctored written final exam (50%), ensuring a comprehensive and practical understanding of the material.
Time commitment
Classroom and demonstrations: 24 hours
Practical work/tutorials: 36 hours
Independent learning: 190 hours
Total: 250 hours
Credit points
10 ECTS
Full course breakdown
Subjects covered:
AI for Business is a 10 ECTS module delivered over 5 hours per week for 12 weeks. An indicative schedule of topics to be addressed each week is outlined below:
- Introduction to AI and its history: Overview of AI, significance in today’s world, historical development, key milestones.
- Foundational Knowledge for AI: Problem-solving, search algorithms, heuristics, adversarial search, optimisation.
- Automated Planning: Goal achievement, decision-making, resource allocation, simulation, prediction, learning, adaptation, autonomous systems.
- Introduction to Machine Learning: Overview of ML, supervised/unsupervised learning, reinforcement learning, introduction to deep learning.
- Deep Learning: Neural networks, CNNs, RNNs, deep learning applications.
- Data and Datasets: Importance of data, data types, data quality, pre-processing, quality datasets.
- Reinforcement Learning: Basics of Reinforcement Learning, exploration vs. exploitation, real-world applications.
- Natural Language Processing (NLP): NLP fundamentals, text processing, NLP models and techniques.
- Computer Vision: Basics of computer vision, image processing, object detection, challenges, and future trends.
- AI Tools and Platforms: Overview of AI tools/platforms, practical applications, deep learning frameworks.
- AI and Creativity: AI in creative industries, design, innovation, future prospects, industry speaker session.
- Ethical and Social Implications in AI: Ethical challenges, societal impacts, AI bias and fairness, privacy, security.
Learning objectives
In this AI for Business module, you will gain comprehensive knowledge and practical skills in artificial intelligence and machine learning. Through hands-on projects and strategic applications, you will be prepared to drive innovation and ethical AI practices, driven by the following learning objectives:
- Analyse, synthesise, and innovate within artificial intelligence and machine learning, emphasising critical understanding and the capability to advance the field.
- Design, train, and critically evaluate advanced machine learning models, focusing on innovative data and optimisation strategies to boost performance in business applications.
- Employ innovative techniques for rigorous machine learning model performance assessment, interpret results, and effectively communicate implications across various business contexts and to diverse stakeholders.
- Apply strategic thinking in AI and ML for complex applications, assess effectiveness critically, propose innovative solutions or improvements, and improve problem-solving and decision-making skills.
- Teamwork to develop AI solutions, enhancing collaboration skills, team competences, and service orientation towards addressing business needs.
- Critically explore AI and machine learning’s ethical, societal, and environmental impacts, and propose ethical, sustainable development and implementation practices within business environments.
Module leader
Fredrik Heintz, Linköping University
Fredrik Heintz is a Professor of Computer Science at Linköping University, holding this position since 2021. He is the President of the Swedish AI Society and a Fellow of the Royal Swedish Academy of Engineering Sciences, contributing significantly to AI research and education.
He earned his PhD in Computer Science from Linköping University in 2009, following an MS in 2000. He was appointed Docent in Computer Science in 2014. Prof Heintz leads numerous high-impact research projects, including TrustLLM and 3D Exploration Planning. His recent publications focus on AI transparency and ethics, such as Bt-GAN: Generating Fair Synthetic Health Data.
New digital opportunities in an AI-driven frontier
This module is ideally suited for professionals and students in business, computer science, and related fields seeking to enhance their AI and machine learning skills..
It will prepare you for careers in AI development, data analysis, business intelligence, and innovation management. By mastering advanced AI techniques and ethical practices, you’ll unlock opportunities in diverse industries such as technology, finance, healthcare and creative sectors, driving business transformation and competitive advantage.
Shaping tomorrow’s digital innovators with Digital4Business
This module is part of the EU-funded Digital4Business programme, an online master’s that’s designed to cultivate future digital leaders. Learn how AI and digital transformation as a whole fosters innovation and efficiency in business, providing you with essential skills to lead in the fast-changing digital world.
FAQ
Minimum B2 English proficiency, plus 2 years' work or education in an English-speaking environment. IELTS: 6.0; TOEFL PBT: 600; TOEFL CBT: 200; TOEFL iBT: 100. Alternatively, proficiency may be assessed via a test or interview
Relevant EQF Level 6 qualification required in a relevant field including but not limited to: computer science, IT, engineering, maths, business, or economics. Without this you will have an interview and assessment to evaluate certifications, qualifications or professional experience.
This EU co-funded programme is open to all EU27, EEA, UK and Ukrainian nationals with a passport or valid ID from one of these countries.