Artificial Intelligence: An Overview
Explore the fundamentals of AI, from its historical development to current applications and national strategies in this beginner-friendly course.
Explore the fundamentals of AI, from its historical development to current applications and national strategies in this beginner-friendly course.
This course cannot be purchased separately - to access the complete learning experience, graded assignments, and earn certificates, you'll need to enroll in the full Artificial Intelligence: an Overview Specialization program. You can audit this specific course for free to explore the content, which includes access to course materials and lectures. This allows you to learn at your own pace without any financial commitment.
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What you'll learn
Understand the historical development of AI
Grasp current AI goals and applications
Explore AI research areas and techniques
Analyze national AI strategies worldwide
Identify major players in AI development
Skills you'll gain
This course includes:
2.25 Hours PreRecorded video
5 quizzes
Access on Mobile, Tablet, Desktop
FullTime access
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There are 5 modules in this course
This comprehensive course provides a non-technical introduction to artificial intelligence, covering its historical evolution from inception to present day. Students learn about the seminal ideas that led to AI's birth, major challenges faced by the field, and how these were overcome. The curriculum explores current AI goals, research areas, and national strategies, with particular focus on European and Italian initiatives. The course examines AI's taxonomy, including techniques, software methodologies, and hardware implementations.
History of AI
Module 1 · 1 Hours to complete
AI Today
Module 2 · 2 Hours to complete
AI Research Areas
Module 3 · 1 Hours to complete
AI and National Strategies
Module 4 · 1 Hours to complete
Italian and European Players
Module 5 · 1 Hours to complete
Fee Structure
Instructor
Pioneering Researcher in Artificial Intelligence
Nicola Gatti is an Associate Professor of Computer Science and Engineering at the Department of Electronics, Information, and Bioengineering at Politecnico di Milano. His research focuses on various aspects of Artificial Intelligence, including algorithmic game theory, allocation problems and incentives, algorithmic social choice theory, multiagent learning, and online learning. His work has earned several prestigious accolades, such as the 2011 AIxIA Marco Somalvico Award for the best young researcher in AI, the Best Paper Award at NeurIPS 2020, and the distinction of EurAI Fellow in 2021. He directs the AI Research and Innovation Center at Politecnico di Milano, co-directs the Italian Observatory on Artificial Intelligence, and serves as a board member of both the Italian Laboratory of Artificial Intelligence and Intelligent Systems and the International Foundation for Autonomous Agents and Multiagent Systems (IFAAMAS), as well as the Italian Association for Artificial Intelligence (AIxIA).
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4.5 course rating
120 ratings
Frequently asked questions
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