Prof. Dr. Ana-Maria Olteteanu

AI for Happiness

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The 'AI for Happiness' course, designed by Prof. Dr. Ana-Maria Olteteanu, offers a groundbreaking approach to personal wellbeing by merging cognitive science with modern artificial intelligence. In this unique No-Code Development class, students explore how technology can be leveraged to foster mindfulness, deep flow states, emotional resilience, and a deeper sense of life purpose. Rather than letting technology become a source of distraction, this course empowers learners to actively build custom AI companions and digital tools that serve their emotional health. Throughout the curriculum, participants engage with science-backed principles of gratitude, habit formation, and emotional regulation. By utilizing accessible, no-code platforms, anyone can create personalized bots to track moods, spark creativity, and nurture social connections without writing a single line of code. This course is ideal for wellness enthusiasts, tech creators, and anyone seeking to establish a healthier relationship with digital devices. By the end, students walk away with a comprehensive, personalized Happiness Map, blending inner emotional wisdom with outer technological support to maintain long-term mental balance.

AI Agents for Leaders

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The rapid evolution of artificial intelligence has moved beyond simple chatbots to autonomous AI agents capable of planning, tool integration, and collaborative execution. AI Agents for Leaders, designed by Prof. Dr. Ana-Maria Olteteanu, provides a comprehensive, non-technical blueprint for business leaders, managers, and decision-makers looking to deploy these technologies strategically. Throughout this course, participants will learn to distinguish between traditional rule-based robotic process automation (RPA) and modern, intelligent agentic architectures. The curriculum breaks down the core components of agent systems, including memory, planning, autonomy, and interactivity. Leaders will gain critical insights into comparing leading open-source frameworks like LangGraph, AutoGen, and CrewAI, helping them determine which architecture best suits their specific organizational needs. Additionally, the course addresses real-world applications across key sectors such as healthcare, enterprise productivity, and education. By focusing on multi-agent workflows, tool integration, and crucial safety and ethical considerations, this program empowers leaders to design, evaluate, and direct agentic implementations without needing a background in coding, positioning their organizations at the forefront of the cognitive automation revolution.