Ir al contenido principal

Google AI for Anyone

A course for anyone to learn what AI is and how it works.

Google AI for Anyone

Hay una sesión disponible:

¡Ya se inscribieron 6,553 usuarios!
Comienza el 1 jul
Termina el 15 dic

Google AI for Anyone

A course for anyone to learn what AI is and how it works.

Google AI for Anyone
Aproximadamente 4 semanas
2–3 horas por semana
A tu ritmo
Avanza a tu ritmo
Verificación opcional disponible

Hay una sesión disponible:

¡Ya se inscribieron 6,553! Una vez finalizada la sesión del curso, será archivadoAbre en una pestaña nueva.
Comienza el 1 jul
Termina el 15 dic

Sobre este curso

Omitir Sobre este curso

Google AI for Anyone teaches you about what Artificial Intelligence is. You’ll cut through the hype and learn about AI and Machine Learning.

As its name suggests, this course is for anybody -- you don’t need a computer science, mathematics or AI background to understand it. No programming skills or prior knowledge are needed.

We’ll take you through, from first principles what the fuss is all about, and you’ll get hands-on in playing with data to teach a computer how to recognize images, sounds and more.

As you explore how AI is used in the real world (recommender systems, computer vision, self-driving etc.) you will also begin to build an understanding of Neural networks and the types of machine learning including supervised, unsupervised, reinforcement etc. You will also see (and experience) what programming AI looks like and how it is applied.

From here you will be able to continue your journey through the emerging fields of AI and ML and related technologies. In so doing, you will formulate a basis to understand and discuss AI and ML related matters in your personal and professional life.

De un vistazo

Lo que aprenderás

Omitir Lo que aprenderás
  • What AI is and isn’t

  • How AI, ML, Deep Learning all fit together

  • Why Data is important

  • Applications of AI

  • What programming AI looks like - predicting numbers with regression, computer-assisted decisions with classification, gaming etc can make mistakes because of poor data

  • Neural Networks -- what they are and what they aren't. Basics. Forward and Backward propagation

  • Understand how Fairness and Ethics work in AI

  • The process of teaching a computer how to learn

  • How AI applications can make mistakes because of poor data

Plan de estudios

Omitir Plan de estudios

Chapter 1.1 - What is AI?

Chapter 1.2 - Let's talk terminology and understand what AI, ML, DL are all about

Chapter 1-3 Ethics and Fairness

Acerca de los instructores

¿Quién puede hacer este curso?

Lamentablemente, las personas residentes en uno o más de los siguientes países o regiones no podrán registrarse para este curso: Irán, Cuba y la región de Crimea en Ucrania. Si bien edX consiguió licencias de la Oficina de Control de Activos Extranjeros de los EE. UU. (U.S. Office of Foreign Assets Control, OFAC) para ofrecer nuestros cursos a personas en estos países y regiones, las licencias que hemos recibido no son lo suficientemente amplias como para permitirnos dictar este curso en todas las ubicaciones. edX lamenta profundamente que las sanciones estadounidenses impidan que ofrezcamos todos nuestros cursos a cualquier persona, sin importar dónde viva.

¿Te interesa este curso para tu negocio o equipo?

Capacita a tus empleados en los temas más solicitados con edX para Negocios.