Five days of practical AI application, governance and implementation for Data Science Foundations.
This five-day Kaizen European Academy programme is specifically about Data Science Foundations; AI is the core subject throughout all five days. Participants learn how artificial intelligence and generative AI can be applied to Data Science Foundations, design practical workflows, evaluate tools and outputs, manage governance and risk, and build an implementation roadmap supported by hands-on exercises.
Professionals, specialists, supervisors and managers whose responsibilities involve data science foundations or who need to build practical capability in this area.
Instructor-led explanation, facilitated discussion, subject-specific case studies, practical templates, individual and group exercises, simulations or technical scenarios where appropriate, peer review and a final implementation workshop.
Explain the AI, generative AI and automation concepts most relevant to Data Science Foundations. Identify and prioritize high-value AI use cases in Data Science Foundations. Design practical human-AI workflows and validate AI outputs for Data Science Foundations. Manage privacy, bias, security, governance and human-oversight risks when using AI in Data Science Foundations. Build a practical AI pilot and implementation roadmap for Data Science Foundations.
No formal prerequisite is required. Relevant professional experience is helpful; technical courses may assume basic familiarity with the operating environment.
Executive & Professional Development across selected European destinations.
Website: www.kaizeneurope.academy
Contact: www.kaizeneurope.academy/#contact
