Artificial Intelligence: An Overview (Coursera)

Offered by Politecnico di Milano,
Artificial Intelligence: An Overview (Coursera)

The course will provide a non-technical overview of the artificial intelligence field. Initially, a discussion on the birth of AI is provided, remarking the seminal ideas and preliminary goals. Furthermore, the crucial weaknesses are presented and how these weaknesses have been circumvented. Then, the current state of AI is presented, in terms of goals, importance at national level, and strategies. Moreover, the taxonomy of the AI topics is presented.

Class Deals by MOOC List - Click here and see Coursera's Active Discounts, Deals, and Promo Codes.

What You Will 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

Syllabus

WEEK 1: History of AI
WEEK 2: AI Today
WEEK 3: AI Research Areas
WEEK 4: AI and National Strategies
WEEK 5: Italian and Europen Players

Go to Class
MOOC List is learner-supported. When you buy through links on our site, we may earn an affiliate commission.

Related Courses

Generative AI Essentials: Overview and Impact (Coursera) Coursera
University of Michigan

Generative AI Essentials: Overview and Impact (Coursera)

With the rise of generative artificial intelligence, there has been a growing demand to explore how to use these powerful tools not only in our work but also in our day-to-day lives. Generative AI Essentials: Overview and Impact introduces learners to large language models and generative AI tools, like ChatGPT. In this course, you’ll explore generative AI essentials, how to ethically use artificial intelligence, its implications for authorship, and what regulations for generative AI could look like.

Jun 26th 2026
1 Week
Technologies and platforms for Artificial Intelligence (Coursera) Coursera
Politecnico di Milano

Technologies and platforms for Artificial Intelligence (Coursera)

This course will address the hardware technologies for machine and deep learning (from the units of an Internet-of-Things system to a large-scale data centers) and will explore the families of machine and deep learning platforms (libraries and frameworks) for the design and development of smart applications and systems.

Jun 22nd 2026
4 Weeks
Machine Learning Introduction for Everyone (Coursera) Coursera
IBM

Machine Learning Introduction for Everyone (Coursera)

This three-module course introduces machine learning and data science for everyone with a foundational understanding of machine learning models. You’ll learn about the history of machine learning, applications of machine learning, the machine learning model lifecycle, and tools for machine learning. You’ll also learn about supervised versus unsupervised learning, classification, regression, evaluating machine learning models, and more.

Jun 22nd 2026
3 Weeks
AI Fundamentals for Non-Data Scientists (Coursera) Coursera
University of Pennsylvania

AI Fundamentals for Non-Data Scientists (Coursera)

In this course, you will go in-depth to discover how Machine Learning is used to handle and interpret Big Data. You will get a detailed look at the various ways and methods to create algorithms to incorporate into your business with such tools as Teachable Machine and TensorFlow. You will also learn different ML methods, Deep Learning, as well as the limitations but also how to drive accuracy and use the best training data for your algorithms.

Jun 22nd 2026
4 Weeks
AI Applications in Marketing and Finance (Coursera) Coursera
University of Pennsylvania

AI Applications in Marketing and Finance (Coursera)

In this course, you will learn about AI-powered applications that can enhance the customer journey and extend the customer lifecycle. You will learn how this AI-powered data can enable you to analyze consumer habits and maximize their potential to target your marketing to the right people. You will also learn about fraud, credit risks, and how AI applications can also help you combat the ever-challenging landscape of protecting consumer data.

Jun 22nd 2026
4 Weeks
Comportamiento adaptativo (Coursera) Coursera
Universidad Nacional Autónoma de México

Comportamiento adaptativo (Coursera)

Los seres vivos han evolucionado en entornos cambiantes, por lo que han desarrollado mecanismos que les permiten exhibir comportamiento adaptativo. Usando el método sintético, podemos construir sistemas artificiales adaptativos que implementen dichos mecanismos, con lo cual también podemos incrementar nuestra comprensión de los sistemas naturales.

Jun 22nd 2026
4 Weeks
Deep learning in Electronic Health Records - CDSS 2 (Coursera) Coursera
University of Glasgow

Deep learning in Electronic Health Records - CDSS 2 (Coursera)

Overview of the main principles of Deep Learning along with common architectures. Formulate the problem for time-series classification and apply it to vital signals such as ECG. Applying this methods in Electronic Health Records is challenging due to the missing values and the heterogeneity in EHR, which include both continuous, ordinal and categorical variables. Subsequently, explore imputation techniques and different encoding strategies to address these issues. Apply these approaches to formulate clinical prediction benchmarks derived from information available in MIMIC-III database.

Jun 22nd 2026
4 Weeks
Fundamentos de IA Aplicados ao CRM (Coursera) Coursera
FIA Business School

Fundamentos de IA Aplicados ao CRM (Coursera)

Nossas boas-vindas ao Curso Fundamentos de IA Aplicados ao CRM. Neste curso, você aprenderá que, conforme a nova economia avança, o mercado se torna mais dependente da coleta, estruturação e análise de dados. Por isso, decisões baseadas em dados têm se tornado tão importantes para companhias que querem se tornar rentáveis, com operações mais enxutas e aumentar o retorno financeiro a médio e longo prazos.

Jun 22nd 2026
4 Weeks
How Entrepreneurs in Emerging Markets can master the Blockchain Technology (Coursera) Coursera
University of Cape Town

How Entrepreneurs in Emerging Markets can master the Blockchain Technology (Coursera)

In this course, you will gain a thorough understanding of the blockchain and distributed ledger technologies, including an introduction to the necessary foundations in cryptography. The course will discuss blockchain as a distributed ledger and introduce distributed consensus as a mechanism to maintain the integrity of the blockchain. The other revolutionary technologies that are changing the world as we speak are artificial intelligence and machine learning. You will learn about the three major types of AI algorithms: supervised and unsupervised machine learning, as well as reinforcement learning.

Jun 22nd 2026
4 Weeks
Inteligência Artificial para Logística (Coursera) Coursera
FIA Business School

Inteligência Artificial para Logística (Coursera)

Nossas boas-vindas ao Curso Inteligência Artificial para Logística. Neste curso, você aprenderá sobre os processos de planejamento logístico, seu escopo de atuação e sua integração com as demais áreas da empresa, e como as novas tecnologias de inteligência artificial e internet das coisas podem ampliar a eficiência e a geração de valor para a empresa.

Jun 22nd 2026
4 Weeks
Human Factors in AI (Coursera) Coursera
Duke University

Human Factors in AI (Coursera)

This third and final course of the AI Product Management Specialization by Duke University's Pratt School of Engineering focuses on the critical human factors in developing AI-based products. The course begins with an introduction to human-centered design and the unique elements of user experience design for AI products.

Jun 22nd 2026
4 Weeks
Fundamentals of Machine Learning for Healthcare (Coursera) Coursera
Stanford University

Fundamentals of Machine Learning for Healthcare (Coursera)

Machine learning and artificial intelligence hold the potential to transform healthcare and open up a world of incredible promise. But we will never realize the potential of these technologies unless all stakeholders have basic competencies in both healthcare and machine learning concepts and principles. This course will introduce the fundamental concepts and principles of machine learning as it applies to medicine and healthcare.

Jun 22nd 2026
5-12 Weeks