Destination AI: Introduction to Artificial Intelligence (OpenClassrooms)

Offered by Institut Montaigne,
Destination AI: Introduction to Artificial Intelligence (OpenClassrooms)

Let me ask you a question: when was the last time you heard the term "artificial intelligence" or "AI"? Perhaps it was this morning on the radio? Yesterday, in the news? Last week, on your favorite podcast? I don't know about you, but I seem to be hearing about artificial intelligence everywhere I go! It's certainly exciting, but with so much information out there, it can feel a little overwhelming too, don't you think? What does AI really mean? How does it affect my life? What are its advantages and risks? Have you asked yourself these questions too? Well, look no further! This course will cover the basics of artificial intelligence.

In Part 1, you will get a sense of what AI really is (and what it's not!). In Part 2, you will explore the impact of artificial intelligence on the workplace and on society as a whole. Finally, in Part 3, you will go behind the scenes of an artificial intelligence project and get familiar with concepts like deep learning and machine learning.

Along the way, you will be hearing directly from some of the most influential leaders in AI today. They will be answering questions about where AI is today and where it's going in the future.
Learning Outcomes
By the end of this course, you will be able to:

  • Construct a definition of artificial intelligence.
  • Discover the societal impact of artificial intelligence.
  • Describe the inner workings of an AI engineering project.

Pre-requisites
This course is for anyone who wants to know what artificial intelligence is, understand how it works, and learn more about it. There are no prerequisites.

Course Description:

Part #1 - Construct a Definition of Artificial Intelligence

  1. Identify Common Applications of Artificial Intelligence
  2. Familiarize Yourself With Key Concepts Associated with AI
  3. See Beyond the Myths: Discover the True Power of AI

Quiz: Construct a Definition of Artificial Intelligence
Part #2 - Discover the Societal Impact of Artificial Intelligence

  1. The Opportunities Offered by Artificial Intelligence
  2. The Ethical Challenges of Artificial Intelligence
  3. The Impact of Artificial Intelligence in the Workplace

Quiz: Discover the Societal Impact of Artificial Intelligence
Part #3 - Describe the Inner Workings of an Artificial Intelligence Project

  1. Identify the Different Stages of an Artificial Intelligence Project
  2. Discover The Fundamentals of Machine Learning
  3. Discover the Fundamentals of Deep Learning

Quiz: Describe the Inner Workings of an Artificial Intelligence Project
Part #4 - You've Reached the End!

  1. Take it Further: Learn More About Artificial Intelligence
Go to Class
MOOC List is learner-supported. When you buy through links on our site, we may earn an affiliate commission.

Related Courses

How to Get Into AI (Coursera) Coursera
University of Leeds

How to Get Into AI (Coursera)

AI forms the basis for all computer learning and is the future of all complex decision-making. As such it is becoming increasingly prevalent in daily life. As a result, the outlook is bright for artificial intelligence jobs. In this course, you will learn how to navigate the dynamic field of artificial intelligence (AI), exploring its applications and the evolving landscape of AI-related careers.

Nov 23rd 2026
2 Weeks
Understanding China, 1700-2000: A Data Analytic Approach, Part 2 (Coursera) Coursera
The Hong Kong University of Science and Technology - HKUST

Understanding China, 1700-2000: A Data Analytic Approach, Part 2 (Coursera)

The purpose of this course is to summarize new directions in Chinese history and social science produced by the creation and analysis of big historical datasets based on newly opened Chinese archival holdings, and to organize this knowledge in a framework that encourages learning about China in comparative perspective. Our course demonstrates how a new scholarship of discovery is redefining what is singular about modern China and modern Chinese history.

Nov 23rd 2026
4 Weeks
Blockchain Scalability and its Foundations in Distributed Systems (Coursera) Coursera
The University of Sydney

Blockchain Scalability and its Foundations in Distributed Systems (Coursera)

Blockchain promises to disrupt industries once it will be efficient at large scale. In this course, you will learn how to make blockchain scale. You will learn about the foundational problem of distributed computing, consensus, that is key to create blocks securely. By illustrating limitations of mainstream blockchains, this course will indicate how to improve the technology in terms of security and efficiency. In particular, this course will help you: understand security vulnerabilities of mainstream blockchains; design consensus algorithms that tolerate attacks, and; design scalable blockchain systems.

Nov 23rd 2026
5-12 Weeks
Introduction to Software Product Management (Coursera) Coursera
University of Alberta

Introduction to Software Product Management (Coursera)

This course highlights the importance and role of software product management. It also provides an overview of the specialization, as well as its goals, structure, and expectations. The course explains the value of process, requirements, planning, and monitoring in producing better software. Upon successful completion of this course, you will be able to: relate software product management to better software products; recognize the role of a software product manager; reflect on how Agile principles will improve your own projects.

Nov 23rd 2026
2 Weeks
Google Cloud Product Fundamentals en Español (Coursera) Coursera
Google Cloud

Google Cloud Product Fundamentals en Español (Coursera)

Este curso, que es una continuación de Business Transformation with Google Cloud, le permitirá conocer la perspectiva tecnológica de la transformación de una organización. Para ser más específicos, explicaremos cómo la tecnología de Google Cloud puede transformar digitalmente una organización en los siguientes aspectos: modernizar la infraestructura de TI; mejorar la forma en que los equipos desarrollan las aplicaciones que utiliza la empresa; saber cómo aprovechar el aprendizaje automático y la inteligencia artificial para generar más valor; advertir el rol fundamental de las herramientas de productividad basadas en la nube, como G Suite, para cumplir con el trabajo, y comprender los desafíos y las oportunidades de la administración de costos que trae aparejados una infraestructura de TI cambiante basada en la nube.

Nov 23rd 2026
5-12 Weeks
Introduction to Vertex AI (Coursera) Coursera
Fractal Analytics

Introduction to Vertex AI (Coursera)

Welcome to "Introduction to Vertex AI"! In this concise yet impactful microlearning course spanning around 4 hours, we're diving into the world of Vertex AI to equip you with fundamental insights and practical skills. We'll unravel the essentials of Vertex AI, guiding you through the interface to empower you to navigate this powerful platform seamlessly. Get ready to grasp strategic insights that will enable you to effectively harness the capabilities of Vertex AI in your projects.

Nov 23rd 2026
2 Weeks
Client Needs and Software Requirements (Coursera) Coursera
University of Alberta

Client Needs and Software Requirements (Coursera)

This course covers practical techniques to elicit and express software requirements from client interactions. Upon successful completion of this course, you will be able to: Create clear requirements to drive effective software development; visualize client needs using low-fidelity prototypes; maximize the effectiveness of client interactions - adapt to changing product requirements.

Nov 23rd 2026
4 Weeks
Approximation Algorithms Part I (Coursera) Coursera
École normale supérieure

Approximation Algorithms Part I (Coursera)

How efficiently can you pack objects into a minimum number of boxes? How well can you cluster nodes so as to cheaply separate a network into components around a few centers? These are examples of NP-hard combinatorial optimization problems. It is most likely impossible to solve such problems efficiently, so our aim is to give an approximate solution that can be computed in polynomial time and that at the same time has provable guarantees on its cost relative to the optimum.

Nov 23rd 2026
5-12 Weeks
Security for Artificial Intelligence Software and Services (Coursera) Coursera
Board Infinity

Security for Artificial Intelligence Software and Services (Coursera)

The "Security Basics for Artificial Intelligence Software and Services" course provides an in-depth exploration of security measures and best practices in the context of AI. Spanning two comprehensive modules, the course begins with an introduction to the fundamentals of AI security, including ethical considerations and common threats. It then progresses to practical strategies for implementing robust security in AI development, such as secure coding, vulnerability assessment, and adherence to compliance standards.

Nov 23rd 2026
2 Weeks
Machine Learning in Healthcare: Fundamentals & Applications (Coursera) Coursera
Northeastern University

Machine Learning in Healthcare: Fundamentals & Applications (Coursera)

Examines data mining perspectives and methods in a healthcare context. Introduces the theoretical foundations for major data mining methods and studies how to select and use the appropriate data mining method and the major advantages for each. Students are exposed to contemporary data mining software applications and basic programming skills. Focuses on solving real-world problems, which require data cleaning, data transformation, and data modeling.

Nov 23rd 2026
4 Weeks