Customise your own sustAIn.brussels training track ! 

Tracks oriented towards management:

• Sustainable digitalization 
  • Strategizing for the Sustainable Transformation of (your) organization

1.    Description
The aim of this course is to introduce participants to the complex relationships between digital technologies and sustainability, considering the environmental, societal and economic pillars. Besides demystifying such relationships, the objective is also to teach participants how this translates practically in organizations’ strategies and operations. To do so, the teachers will rely on both theoretical and practical sessions, where guest lecturers will provide testimonials on how they dealt with such issues and what were the enablers and obstacles in such transformation. Regular and interactive exercises will also be included in the training to allow for participants to immediately reflect on the issues and be able to apply theoretical and practical concepts to their reality. Finally, this course will end up with a cocreation workshop aiming at developing a strategic framework by and for SMEs to navigate such dual transformations. 

2.    Course content & learning outcomes:
Course content
•    Introduction to the concepts of digitalization/digital transformation & sustainability/sustainable development
•    Introduction to the complex relationships between digital technologies and sustainability
•    Strategy development integrating digital transformation and sustainability
•    Organizational, operational and communicational practices
•    Practical testimonials

Learning outcomes:
•    Improve knowledge on digital & sustainability issues at large
•    Understand practical, business implications of such high-level issues 
•    Strategically apply such knowledge to own realities
•    Gain insights on best practices from the field
 

• Introduction to Data Science
  • From Raw Data to Actionable Insights

1.    Description
Dive into the world of data-driven decision-making with our comprehensive Data Science course. Designed for professionals from diverse backgrounds this course equips you with essential skills to harness the power of data for insightful analysis and predictive modeling. 
In the first part of the course, we will provide solid theoretical bases, introducing core concepts in data science such as data types, data formats, data quality issues and predictive modeling. In order to facilitate application in practical settings, these concepts will be directly related to existing use cases under the supervision of the course lecturers. For the second part of the course, we will employ industry standard Python packages (e.g. pandas, numpy, scikit-learn), to develop a prototype of a data analysis pipeline. Participants are assumed to already have a working knowledge of programming (ideally Python), but additional self-learning resources will be provided if needed. 

2.    Course content & learning outcomes:
Course content
●    Introduction to Data Science and Data Analytics
●    The four flavors of Data Analytics: Descriptive, Diagnostic, Predictive, Prescriptive
●    Implementing a data analysis pipeline with Python
●    Data Science in Practice: Do’s, Dont’s and Ethical considerations
Learning outcomes:
By the end of this course you should be able to:
●    Explain the core concepts involved in a Data Science project (i.e data types, data storage, data analysis, predictive modeling);
●    Examine an existing situation to identify what suitable Data Science methodologies and analysis are applicable
●    Develop a prototype of a data analysis pipeline using Python and its data science toolkit (pandas, seaborn, sci-kit learn, …)
 

• Cloud computing
  • Save your precious resources with storage, encryption & migration strategies in the cloud
• Artificial intelligence
  • Explore how custom-made AI can be key to your sustainable digitalization
     

Tracks oriented more technically:

• Sustainable IT
  • Implementing digital technologies sustainably and responsibly

1.    Description
The digital transformation of companies goes hand in hand with an aspiration to become more sustainable. As both transformations may change the heart of the business model, making digitalization and sustainability aspirations align can form a key challenge. This course aims to introduce professionals within the business domain to a nuanced, technology-oriented and pragmatic view of the sustainable implementation of digital technologies. The course will provide expert perspectives on cybersecurity and responsible IT practices, and participants will gain an in-depth understanding of the intricate interplay between digital technologies, and environmental and social sustainability in a corporate context. Here, you will gain insight into quantitative metrics essential for viewing sustainability but also show the alignment with broader organizational objectives, both in terms of digital transformation and sustainability (reporting) goals. Participants can expect an interactive course format, integrating online modules with a live workshop.

2.    Course content & learning outcomes:
Course content
•    Introduction to the interlinkage between digitalization and sustainability
•    Linking sustainable IT with broader corporate sustainability and reporting
•    Measuring is knowing: what tools can you use to measure the sustainability impacts of IT
•    Use cases and business-oriented applications of concepts

Learning outcomes:
•    A pragmatic, technology-oriented view on sustainable digitalization in corporate environments
•    Gain an intuition for linking digital technologies with their (often invisible) sustainability impacts
•    Gain knowledge of available tools to measure and report impacts
•    Gain insights on best practices from the field
 

• Opening the black box of learning algorithms
  • Smarten up with these statistical tools needed for machine learning techniques!
• Machine learning
  • Demystifies machine learning algorithms tools & gets you to apply them with Python
• ChatGPT & Next-generation assistants
  • Identify the strengths and limits of next generation chatbots for your business
• Applications of ai in engineering
  • Join this road show of AI applications to stimulate your computational creativity
• Designing cybersecurity
  • Assess your data protection and design the security architecture of your company

Customise your own sustAIn.brussels training track and apply HERE!