Politecnico di Milano
Artificial Intelligence: an Overview Specialization
Politecnico di Milano

Artificial Intelligence: an Overview Specialization

Enter the artificial intelligence world

Taught in English

Some content may not be translated

Marcello Restelli
Nicola Gatti
Viola Schiaffonati

Instructors: Marcello Restelli

4,349 already enrolled

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Specialization - 5 course series

Get in-depth knowledge of a subject

4.5

(126 reviews)

Beginner level

Recommended experience

1 month at 10 hours a week
Flexible schedule
Learn at your own pace

Specialization - 5 course series

Get in-depth knowledge of a subject

4.5

(126 reviews)

Beginner level

Recommended experience

1 month at 10 hours a week
Flexible schedule
Learn at your own pace

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Specialization - 5 course series

Artificial Intelligence: An Overview

Course 17 hours4.6 (109 ratings)

What you'll learn

  • Explain the seminal ideas leading to the birth of AI, the major difficulties and how the international community overtook them.

  • Describe what AI is today in terms of goals, scientific community, companies’ interests

  • Describe the taxonomy of the know-how on AI in terms of techniques, software and hardware methodologies.

  • Explain the need for national strategies on AI and identify the major Italian and European players on AI

Ethics of Artificial Intelligence

Course 210 hours4.7 (64 ratings)

What you'll learn

  • Describe the reasons for an ethical analysis applied to AI.

  • Identify the ethical and social impacts and implications of AI.

  • Use critical skills in clarifying and ethically analyzing AI in different domains of life.

  • Critically analyze the current policies for AI and use ethical and socially responsible principles in your professional life.

Artificial Intelligence and legal issues

Course 33 hours4.4 (45 ratings)

What you'll learn

  • Recognize that the use of AI requires to be analysed, evaluated and addressed also from a legal point of view.

  • Indicate the main legal concepts of liability for choices made by or through intelligent systems and compensation for any consequential damage.

  • Verify whether and which criminal law principles apply when an offence is committed by an AI system.

  • Recognize the difference between copyright and patent and recognize the risks to fundamental rights and freedoms deriving from AI.

Technologies and platforms for Artificial Intelligence

Course 42 hours4.6 (27 ratings)

What you'll learn

  • Describe the technological scenario of AI (Cloud, Edge, IoT) from an IT perspective.

  • Identify the Machine and Deep Learning techniques and solutions developed for IoT and Edge Computing systems.

  • Explain the main challenges and opportunities of technologies and platforms for AI.

Machine Learning: an overview

Course 52 hours4.4 (43 ratings)

What you'll learn

  • Classify machine learning problems, supervised learning problems and describe the limitations of machine learning techniques in supervised learning

  • Classify machine learning problems in unsupervised learning, describe the utility of dimensionality reduction techniques

  • Formulate a sequential decision-making problem, explain what a value function is and describe how to optimize a policy in reinforcement learning

Instructors

Marcello Restelli
Politecnico di Milano
1 Course3,125 learners
Nicola Gatti
Politecnico di Milano
1 Course6,422 learners

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