Overview
COURSE DESCRIPTION
The AI revolution is rapidly taking the world by storm. We can only be mesmerized by how quickly intelligent machines have learned to drive cars, read lung scans, or predict what we will want to listen, watch, or buy better than any human. This extraordinary technology is still in its very infancy but has already driven most of the recent stock market growth while disrupting entire industries and rendering high-status skills and occupations completely obsolete. In this class, Professor provides an entry point for students to understand and thrive in this new AI world. It addresses the macro-level impact of AI on the economy, introduces the technical principles of modern AI algorithms, and invites students to critically think about the skills and values they need for a world so different from the ones our education system was designed for.
PROFESSOR BACKGROUND
Professor is one of Europe’s leading experts on complex systems, the future of cities, artificial intelligence, and blockchain technologies. Professor teaches at MIT and Harvard University and is also a Professor at the Center for Collective Learning of the Artificial and Natural Intelligence Toulouse Institute and a research fellow at the Center for Complex Systems Studies. Professor is also a high-level policy expert currently serving in the ESIR group to advise the European Commission on innovation policy.
WHAT STUDENTS WILL LEARN
- The real-world problems AI is solving
- How AI creates a monopoly and a winner-takes-all society
- What AI cannot predict – and the increasing importance of human wisdom
- High-level understanding of machine learning, deep learning & network science
- The building blocks of AI systems: network data structures
- How to transform data into meaningful, actionable insights
- How to build an AI recommendation system to solve a real-world problem
PROGRAM DELIVERABLE
- Explore cutting-edge research subjects with the professor.
- 8-10 page research paper with proper sources and citations.
- Online Research Program certificate.
- Potential recommendation letter from a top university professor.
- Potential publication of research paper.
Course Features
- Lectures 15
- Quizzes 0
- Duration 7 weeks
- Skill level Intermediate
- Language English
- Students 6
- Assessments Yes
Requirements
- An interest in science and AI
- Application Form
- Solid foundation in Computer Science and AI
Target audiences
- Student from Grade 9 through College
- College and graduate students majoring in computer science, artificial intelligence, data science, electronic and computer engineering, software engineering, automation, or those interested in mastering reinforcement learning.
- Students who are interested in artificial intelligence, big data, interdisciplinary and related fields are welcome. Students are required to have a solid foundation in computer science, linear algebra, and programming.
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