This Specialization, offered by Politecnico di Milano, is designed for beginners aspiring to enter the artificial intelligence world. Over five courses, it covers the fundamental aspects of artificial intelligence, including machine learning, ethical and legal considerations, and the future prospects in the field.
The course begins by exploring the seminal ideas that led to the birth of AI and delves into the current landscape, including the taxonomy of AI know-how and the need for national strategies. It then moves on to examine the ethical and social impacts of AI, applying critical skills to analyze its implications across various domains of life.
Furthermore, the legal aspects of AI are addressed, discussing liability, compensation, criminal law principles, copyrights, and patents, along with the associated risks to fundamental rights and freedoms.
Participants also gain insights into the technological scenario of AI from an IT perspective, exploring machine and deep learning techniques, IoT, and edge computing systems. The course concludes with a focus on machine learning, classifying problems and describing the limitations and utility of various techniques.
Certificate Available ✔
Get Started / More Info
This Specialization comprises five courses, providing a comprehensive understanding of artificial intelligence, covering seminal ideas, ethical and legal issues, technologies, and machine learning techniques.
Artificial Intelligence: An Overview covers the seminal ideas leading to the birth of AI, the current landscape, taxonomy of AI know-how, and the need for national strategies. It also identifies major Italian and European players in AI.
Ethics of Artificial Intelligence explores the ethical and social impacts and implications of AI, applying critical skills to analyze its effects in various domains of life and in current policies.
Artificial Intelligence and Legal Issues addresses the legal aspects of AI, discussing liability, compensation, criminal law principles, copyrights, patents, and the associated risks to fundamental rights and freedoms.
Technologies and Platforms for Artificial Intelligence delves into the technological scenario of AI from an IT perspective, identifying machine and deep learning techniques, and exploring the challenges and opportunities of AI technologies and platforms.
Machine Learning: An Overview classifies machine learning problems, describes limitations of machine learning techniques, utility of dimensionality reduction techniques, and formulates sequential decision-making problems in reinforcement learning.
Mind and Machine is a specialized study of the intersection between human cognition and artificial intelligence, exploring the historical arc and current research...
Cloud Computing Concepts, Part 1 provides a deep dive into fundamental distributed computing techniques, algorithms, and design philosophies essential for cloud...
This course covers graph search, shortest paths, and data structures, offering a comprehensive understanding of their applications in various domains.
VLSI CAD Part I: Logic provides a comprehensive understanding of CAD tools used in ASIC and SoC design, focusing on Boolean logic representations, computational...