Data Science & AI programs and courses for professionals
At EAISI Academy, innovation is at the heart of what we do. We commit to staying on the cutting edge of Data Science and Artificial Intelligence (AI) education. This dedication drives us to constantly develop new programs that cater to the ever-evolving needs of professionals and organizations in the data-driven world.
Tailored professional development options
At EAISI Academy, we offer a range of carefully crafted programs tailored to the unique needs of individual professionals. Whether you're looking for a brief yet impactful 2-day introductory course or seeking a more immersive experience with our 18 - to 20-month program, we have a variety of options to accommodate your professional development.
How do you learn at EAISI Academy?
Our programs offer diverse opportunities to meet individual learning goals, with flexibility and Challenge Based Learning (CBL) at the core of our approach. At EAISI Academy, you learn from a team of experienced lecturers who combine scientific knowledge with extensive practical experience. The curriculum combines online modules, interactive lectures, group assignments, and practice-oriented projects. Through our user-friendly online learning platform, you always gain clear and concrete insight into what you need to do and can do at any moment.
This approach enables you, as a participant, not only to develop theoretical knowledge but also to gain an intuitive understanding of, for example, how the underlying models of generative AI function. You work with real-world cases and examples, supplemented with interactive exercises and feedback on your answers. Additionally, we provide references to reliable and verified sources about data and AI, and you will retain temporary access to the online learning platform even after completing your studies. This way, you can always revisit the explanations when needed later. Please note: To maximize your benefits from the program, your presence on campus during lecture days is required. The program cannot be followed fully online.
Join our information session for in-depth insights
For those eager to learn more about what EAISI Academy has to offer, we invite you to join us at our upcoming information session. This event offers an excellent opportunity to explore the details of our programs, engage with our program directors, and connect with fellow professionals on a similar path.
PROGRAMS FOR PROFESSIONALS AND ORGANIZATIONS
Meet our lecturers
Overview of Data Science & AI programs and courses for professionals
| Program | Designed for | Focus | Duration * | Language | Location |
| Course: Real World Data Science & AI | Professionals seeking a realistic understanding of the potential of data science and AI for organizations. | A general introduction to data science and AI, providing participants with a clear overview of the field. Topics include supervised learning, generative AI, and ethical considerations. Various examples and case studies are discussed. | 2 days (8 hours per day) + 4 hours preparation | Dutch or English | 果冻传媒 campus, preperation online |
| Masterclass: Data Engineering | Data professionals (data scientists, BI specialists, data engineers, product owners) looking to deepen their expertise in this area. | Knowledge and practical skills for designing and implementing modern data platforms. Focus on new standards and techniques to create a 'composable data stack.' Practical tools are provided to apply these techniques in daily work and organizations. | 2 days (8 hours per day) + 4 hours preparation | Dutch or English | 果冻传媒 campus, preperation online |
| Mastering Data & AI, Module 1:Introduction | Professionals wanting to delve deeper into data analysis and machine learning. Choose between the Business Manager track (Analytics Translator) or the Expert track in Data Science & AI. | Building a solid foundation in statistical learning principles. Participants actively work with machine learning, assessing the feasibility of data science projects, executing projects with the CRISP-DM methodology, and applying common techniques in Python or Knime. | 2 months with 6 days (8 hours each) + 6-8 hours weekly self-study | English | 果冻传媒 campus, hybrid self-study |
| Mastering Data & AI, Module 2: Applications | Anyone who has completed Module 1. | Deepening and broadening knowledge of data science topics such as data modeling, time series forecasting, privacy legislation, deep learning, and natural language processing. Sector-specific modules are available. Participants work in groups on a realistic case study with expert support. | 7 months with 15 days (8 hours each) + 6-8 hours weekly self-study | English | 果冻传媒 campus, hybride self-study |
| Mastering Data & AI, Module 3: Mastering | Anyone who has completed Module 2. | The pinnacle of our open program, where participants develop strategic autonomy in conceptualizing and applying technologies in their field. The module includes advanced topics and a project in the context of their organization. | 8 months with 17 days (8 hours each) + 6-8 hours weekly self-study | English | 果冻传媒 campus, hybride self-study |
| Custom Training | Organizations seeking tailored programs in data science and artificial intelligence. | Existing open programs can be customized to address specific learning needs within an organization. Contact us to discuss the possibilities. | Upon request | Dutch or English | Upon request |
| Data & AI mentoring | Organizations and professionals aiming to expand their knowledge and skills in data science and AI. | Supporting participants in developing strategic autonomy, enabling them to independently conceive and implement new AI applications within their field of work. | Upon request | Dutch or English | Upon request |
* Excludes holidays. The exact duration of the Mastering Data & AI program depends on the electives chosen.
Note 1: Course days held at EAISI Academy are always on Fridays.
Note 2: No rights can be derived from this overview.
Why choose us?
The five main reasons to select EAISI Academy for your data science and AI education
- Practical Relevance
- Flexibility
- Challenge Based Learning (CBL)
- Networking
- Career advancement
