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Artificial Intelligence

an Overview

Viola Schiaffonati, Nicola Gatti, Annamaria Italiano, Manuel Roveri, and Marcello Restelli

This Specialization is intended for beginners seeking to enter the artificial intelligence world. Through five courses, you will cover artificial intelligence technical groundings (including machine learning and technologies), ethical and legal issues, which will give you a clear picture of what artificial intelligence is and what opportunities artificial intelligence will provide in the next future.

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What's inside

Five courses

Artificial Intelligence: An Overview

(5 hours)

The course provides a non-technical overview of artificial intelligence. It discusses the birth of AI, its goals, weaknesses, and current state. The taxonomy of AI topics is also presented.

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Ethics of Artificial Intelligence

(4 hours)

This course examines the ethical, social, and cultural impact of AI. It explores the issues faced by professionals in AI, as well as by citizens, institutions, and societies. The course uses case studies and examples to analyze these topics in light of the main ethical frameworks.

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Artificial Intelligence and legal issues

(0 hours)

The purpose of the course is to help students understand the legal implications of designing and using AI systems. It provides an overview of the risks and legal protections that can be envisaged and gives an overview of the legislation and legal principles currently applicable on the subject.

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Technologies and platforms for Artificial Intelligence

(4 hours)

This course covers the hardware technologies for machine and deep learning, from the units of an Internet-of-Things system to large-scale data centers. It also explores the families of machine and deep learning platforms for designing and developing smart applications and systems.

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Machine Learning: an overview

(8 hours)

The course provides an overview of machine learning methods. Starting with a taxonomy of problems, the course presents algorithmic solutions, highlighting their successes and limitations. Concepts will be explained through examples and case studies.

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Time

21 hours

Level

Introductory

Via

Coursera

Institution

Politecnico di Milano

Instructors

Viola Schiaffonati

Nicola Gatti

Annamaria Italiano

Manuel Roveri

Marcello Restelli

Level

Introductory

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