Generative AI refers to artificial intelligence systems that are capable of producing original content like images, text, or music without direct replication from existing data. These systems are designed to learn patterns and trends from extensive datasets during training to generate innovative outputs. It has applications in multiple industries. Learning more about generative AI is essential to be able to harness the potential of AI-driven creativity, leading to innovation, efficiency, and new opportunities in various domains.
Is this you? Do you need to learn more about the possibilities of Generative AI for you and your business? JADS offers this Bootcamp just for you! Our doctors and professors will guide you through the latest developments and practical application in six sessions.
How intelligent is the ‘I’ in AI? Professor Doctor Emile Aarts, specialized in business adoption with AI, will address the (historical) positioning and socio-economic actuality of AI and generative methods.
We are not talking about a new Star Wars adventure; this is real! Talking to computers is possible, but also deep fakes and fake news. What is new about generative AI? How does it differ from traditional machine learning? What are the limits to the current models? Learn it here in discussion with Uzay Kaymak, Full Professor of Information Systems in Healthcare at JADS.
Imagine a world where entrepreneurs have access to a revolutionary tool. That ignites their creativity, uncovers untapped market opportunities, and propels their businesses to new heights. The steps needed to make that world a reality are now being taken at JADS. Take your first step with the lecture of Doctor Plato Leung, Assistant Professor of Entrepreneurship.
We all love ChatGPT and Dall-E because these tools for generating text and images are easy to use and the results generally look really good. But on what data are these models actually trained? Do we care? And what happens with your input data? In this session Dr. Meike Nauta touches upon risks and ethical considerations of generative AI, including bias, discrimination and privacy. Dr. Meike Nauta is Senior Data Scientist at Datacation and Doctor in Explainable AI and Interpretable Computer Vision.
Let’s wrap up all you have seen and heard together with Emil Rijcken, a PhD candidate specialized in Natural Language Processing, Machine Learning and Deep Learning. With him you will work with prompt engineering and function calling. Using a practical case, his startup experience, he will guide you in how you can use Generative AI (like Chat GPT) in your business today.
In this hands-on workshop, you’ll build a custom AI-powered chatbot to optimize your workflow and save time. You’ll gain practical skills, master effective prompts, and stay ahead with the latest AI advancements—less routine, more impact. This day will be guided by Wiemer Kuik, or guest lecturer from Hogeschool Utrecht.
Empower yourself with our comprehensive training program – a journey designed to equip managers, policymakers and strategic consultants with the essential skills in Data Science & AI.
Our goal is clear: shape individuals into skilled experts who not only understand these cutting-edge methods but can apply them strategically. From shaping successful Data Science and AI projects to becoming a key connector, post-training, you’ll move smoothly through being a management sparring partner for data opportunities and a technical collaborator for data scientists and AI experts. Elevate your role as the bridge between innovation and execution, ensuring the transformative power of Data Science & AI is harnessed to its full potential.
As part of the eco-system and the alumni community there is continuous learning and use- case projects in collaboration with the other learning programmes that can continue to benefit the organization, even beyond the PE programmes. This includes JADS MKB DataLab, DEiA projects, EngD and Masters’ graduation projects.
Take the leap with us and get skilled in Generative AI. After completing the form, we well get in touch with you shortly to finalize the details.
Data-driven leadership: Adapt processes and policies with data insights to tackle societal challenges.
Bridge the gap: Collaborate effectively with executives and specialists to boost resilience.
Strategic impact: Equip yourself to lead change with Data and AI expertise.