AI Academy

Artificial Intelligence: An Overview

Instructor: Nicola Gatti Duration: 7 hours to complete 3 weeks at 2 hours a week
Objective 1 Explain the seminal ideas leading to the birth of AI, the major difficulties and how the international community overtook them.
Objective 2 Describe what AI is today in terms of goals, scientific community, companies’ interests
Objective 3 Describe the taxonomy of the know-how on AI in terms of techniques, software and hardware methodologies.
Objective 4 Explain the need for national strategies on AI and identify the major Italian and European players on AI
Natural language processing
Computer Vision
Computer Hardware
Artificial Intelligence and Machine Learning (AI/ML)
Artificial Intelligence
Innovation
Computer Science
Technology Strategies

Ethics of Artificial Intelligence

Instructor: Viola Schiaffonati Duration: Approx. 10 hours
Objective 1 Describe the reasons for an ethical analysis applied to AI.
Objective 2 Identify the ethical and social impacts and implications of AI.
Objective 3 Use critical skills in clarifying and ethically analyzing AI in different domains of life.
Objective 4 Critically analyze the current policies for AI and use ethical and socially responsible principles in your professional life.
Policy Development
Information Privacy
Data Ethics
Social Sciences
Governance
Policty Analysis, Research, and Development
Ethical Standards And Conduct
Public Policies
Artificial Intelligence
Law, Regulation, and Compliance
Economics, Policy, and Social Studies
Social Justice

Artificial Intelligence and legal issues

Instructor: Annamaria Italiano Duration: 3 hours to complete Recommended experience
Objective 1 Recognize that the use of AI requires to be analysed, evaluated and addressed also from a legal point of view.
Objective 2 Indicate the main legal concepts of liability for choices made by or through intelligent systems and compensation for any consequential damage.
Objective 3 Verify whether and which criminal law principles apply when an offence is committed by an AI system.
Objective 4 Recognize the difference between copyright and patent and recognize the risks to fundamental rights and freedoms deriving from AI.
Regulation and Legal Compliance
Intellectual Property
Lawsuits
Law, Regulation, and Compliance
Legal Strategy
Artificial Intelligence
Legal Risk
General Data Protection Regulation (GDPR)
Civil Law
Information Privacy

Technologies and platforms for Artificial Intelligence

Instructor: Manuel Roveri Duration: 2 hours to complete Recommended experience
Objective 1 Describe the technological scenario of AI (Cloud, Edge, IoT) from an IT perspective.
Objective 2 Identify the Machine and Deep Learning techniques and solutions developed for IoT and Edge Computing systems.
Objective 3 Explain the main challenges and opportunities of technologies and platforms for AI.
Cloud Computing Architecture
Embedded Systems
Cloud Computing
Hardware Architecture
Cloud Platforms
Application Development
Data Centers
Internet Of Things
Emerging Technologies
Artificial Intelligence
Artificial Intelligence and Machine Learning (AI/ML)
Deep Learning
Information Technology
Information Technology Architecture

Machine Learning: an overview

Instructor: Marcello Restelli Duration: 2 hours to complete Recommended experience
Objective 1 Classify machine learning problems, supervised learning problems and describe the limitations of machine learning techniques in supervised learning
Objective 2 Classify machine learning problems in unsupervised learning, describe the utility of dimensionality reduction techniques
Objective 3 Formulate a sequential decision-making problem, explain what a value function is and describe how to optimize a policy in reinforcement learning
Algorithms
Supervised Learning
Regression Analysis
Classification And Regression Tree (CART)
Dimensionality Reduction
Data Mining
Applied Machine Learning
Machine Learning Algorithms
Unsupervised Learning
Machine Learning
Reinforcement Learning