AI for Business Professionals

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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 an AI. Or follow the entire 6-day programme to prepare yourself for the rle of analytics translator. 

 


Why join the AI for Business Professionals Course?
What will you learn?

  • Will be literate in new technologies in AI and Big Data analutics. You will understand what these technologies are, how they transform what organisations do and how they do it, and why they have so much impact.
  • Will 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;
  • Will be able to recognise validity issues in predictive algorithms and models;
  • Will have a good overview of applications of machine learning  and generative AI in business, government and healthcare;
  • Will be well-prepared for playing a leading role in helping your organisation transform into a data-driven business.

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, such as finance, accounting, marketing, HR, sales, logistics, supply chain, product development, healtcare and service delivery. No specific prior knowledge of IT or analytics is required for this course.
 

Practical information

Location: Roeterseiland campus
Language: English
Certification: After completing module 1 &  2 and the capstone assignment, you will be a Certified Analytics Translator
 

Teaching staff

Academic director: prof. Jeroen de Mast, professor of data-driven business innovation at the Amsterdam Business School of the University of Amsterdam. Prof. De Mast will teach this course together with professors and experts from the University of Amsterdam and ORTEC.
 
Dates and fees
Dates:
  • Wednesday 17 and Thursday 18 April 2024 (module 1)
  • Wednesday 15 and Thursday 16 May 2024 (module 2)
  • Wednesday 5 and Thursday 6 June 2024 (module 2)
Times:
  • 09:00 – 17:00
Fee:
  • €2,380 (Module 1 only, 2 days)
  • €5,750 (Modules 1 and 2, 6 days)

*UvA alumni get a 10% discount. Fees are VAT-exempt

2 modules

The Analytics Translator course is divided into 2 modules. You can choose to follow the first module (2 days) or both modules (6 days). Module 1 dives deeper into understanding AI, data science and big data. While module 2 prepares you for the role of Analytics Translator.

Module 1 (2 days): Understanding AI, data science and Big Data

    • Orientation module: Aiming to give you a realistic overview of data science and emerging technologies and their potential value for your organisation. 
    • 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 AI projects as CRISP-DM projects, where a business opportunity is translated into a data-analytic question, where data sources are identified and pre-processed, where a model is developed and evaluated, and then deployed. 
    • How machines learn and machine learning in business: Machine learning is the quintessential technique in AI. We will explore many of the popular algorithms, such as decision trees, random forests and neural networks. 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: cloud computing, Big Data, AI and IoT.  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: How do you connect your business strategy to AI and how do you get maximum value out of data science projects, given your high-level company goals?
    • 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, and 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: Participants work on a practical assignment, which they develop and discuss with fellow participants and instructors. In the assignment, participants identify a business opportunity in their own organisation where data and analytics could be of value, and translate it into a data-analytic problem. Part of the assignment is to identify the required data sources and where they could be obtained, and participants will also design a suitable organisational structure for deploying such a project in one’s own organisation.

Course information

Available dates
Spring Edition

Location
Amsterdam Business School
Plantage Muidergracht 12
1018 TV Amsterdam
Netherlands

Fee
€ 2,380 (Module 1 only, 2 days) €5,750 (Modules 1+2, 6 days)

Contact information

Iris Kroese
Programme Manager of The Analytics Academy


Email

Alumni of the University of Amsterdam will get a 10% discount, when noting your programme and graduation year in your application.
This course can also be offered tailor-made, in-company and in-house. Please contact us for more information.

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