AI for Business Professionals
Non-technical professionals and managers play an important role in the transformation to the AI-driven organisation. Learn to recognise opportunities where data and AI can create value, and translate them into an assignment for an analytics team. This role is called analytics translator. They are the bridge between AI and the business. Follow the first 2-day module for an introduction into the rapidly developing field of AI. Or follow the entire 6-day programme to prepare yourself for the role of analytics translator.
For whom?
Senior business professionals and managers who grow into a pivotal role in deploying AI-driven working and digitisation in their work and organisations. The programme is suitable for professionals in diverse functions. No specific prior knowledge of IT or analytics is required for this course.
Need help?
Reach out to us for questions about this course or our transportation and accommodation options. We respond within 3 business days.
Iris Kroese MA
Manager Executive Education
E: executive-education@uva.nl
T: +31 (0)6 1893 8203
Taught by business-school professors and tech-savvy experts
Turn theory into practice
Connect AI to the business
If you are working in an environment where projects using data analytics is a new development, then I would highly recommend this programme.Jo-Anne Prins – Organisational advisor at the Dutch Tax Office Read Jo-Anne's full review
What will you learn?
After finishing the programme, you will:
- be literate in new technologies in AI, generative AI and Big Data analytics;
- understand what these technologies are, how they transform what organisations do, and why they have so much impact;
- be able to translate a business opportunity into a data analytic question, and to structure the work into a data science project following the CRISP-DM model;
- have a good overview of applications of machine learning and generative AI in business, government and healthcare;
- be well-prepared for playing a leading role in the transformation to AI-driven business.
The interactions I had with other people from different businesses during the programme were very inspiring.Roderik Rensen – Global Head of Process Management at ING Read Roderik's full review
Modules
The AI for Business Professionals programme is divided into 2 modules. You can choose to follow the first module (2 days) or both modules (6 days). Module 1 offers an orientation, aiming to give you an overview of AI and its potential value for your organisation. Module 2 prepares you for the role of Analytics Translator.
-
Module 1 (2 days): Understanding AI, data science and big data
- New forms of data, new analytics, new business opportunities: Big Data, machine learning, AI: what are they, what can you do with them, and why do they have so much impact?
- Doing data science: managing data-science projects as CRISP-DM projects. How to translate a business opportunity into a data-mining question? How to identify data sources and develop a model?
- How machines learn: explore many of the popular algorithms in machine learning. Our focus is on understanding what it takes to deploy machine learning and AI in a sound, reliable and secure way to create value in a business environment.
- Digital safari: explore the landscape of emerging digital technologies. We review the foundational technologies that enable the digital transformation. We dive deeper into generative AI and large-language models and what you can do with such technologies.
-
Module 2 (4 days): Preparing for the role of Analytics Translator
- AI strategy and value chain, and determining the right business question: learn to connect your business strategy to AI and get maximum value out of data science projects.
- EU Privacy and AI laws: a primer in EU legislation that needs to be considered when using data and algorithms.
- Leading successful data science teams: data analytics teams are multidisciplinary and cover many different skill sets. We offer structures that are helpful in getting flow in data analytics projects. We also discuss what organisational infrastructure such projects need in order to be effective.
- Data visualisation: you learn the design principles and the applicability of various visualisation techniques.
- Data governance and data management: we explore the capabilities needed to ensure that high-quality data are available throughout the organisation in a secure and reliable way.
- Capstone assignment: work on a practical assignment that you develop and discuss with fellow participants and instructors. You will identify a business opportunity in your own organisation where data and analytics could be of value, and translate it into a data-analytic problem. You will identify the required data sources and where they could be obtained. In addition, you will design a suitable organisational structure for deploying such a project in your organisation.
What is it that Analytics Translators do? Why is our unique programme your perfect preparation for this role? Academic Director and Professor Jeroen de Mast explains what this programme is about. Watch this video to learn more.
The lecturers clearly knew what they were talking about and were willing to adapt the material to the group’s learning needs.Tijmen van Diepen, Senior Consultant at Been Management Consulting Read Tijmen's full review
Teaching staff
Fees
| Programme | Tuition Fees | Duration |
| Module 1 | €2,380 | 2 days |
| Module 1 and 2 | €5,750 | 6 days |
Stay updated
Sign up for our newsletter to get updates on the latest programmes and opportunities of the Amsterdam Business School.