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. This course brings together University of Michigan experts on communication technology, the economy, artificial intelligence, natural language processing, architecture, and law to discuss the impacts of generative AI on our current society and its implications for the future.
Offrez à votre carrière le cadeau de Coursera Plus avec $160 de réduction, facturé annuellement. Économisez aujourd’hui.
Generative AI Essentials: Overview and Impact
Instructeur : Center for Academic Innovation Experts
23 424 déjà inscrits
Inclus avec
(153 avis)
Ce que vous apprendrez
Learn how generative AI works
Explore the benefits and drawbacks of generative AI
Learn how generative AI can integrate into our daily lives
Compétences que vous acquerrez
- Catégorie : Artificial Intelligence (AI)
- Catégorie : ChatGPT
- Catégorie : Generative AI
Détails à connaître
Ajouter à votre profil LinkedIn
4 devoirs
Découvrez comment les employés des entreprises prestigieuses maîtrisent des compétences recherchées
Obtenez un certificat professionnel
Ajoutez cette qualification à votre profil LinkedIn ou à votre CV
Partagez-le sur les réseaux sociaux et dans votre évaluation de performance
Il y a un module dans ce cours
This short course introduces learners to generative artificial intelligence (GenAI) and explains how large language models and generative AI tools, like ChatGPT, work. Explore the ethical use of GenAI, the implications of authorship, and how these tools might be utilized and regulated moving forward. It brings together University of Michigan experts on communication technology, the economy, artificial intelligence, natural language processing, architecture, and law to discuss the impacts of generative AI now and into the future.
Inclus
22 vidéos26 lectures4 devoirs5 sujets de discussion
Instructeur
Offert par
Recommandé si vous êtes intéressé(e) par Machine Learning
Coursera Project Network
Fractal Analytics
Vanderbilt University
Pour quelles raisons les étudiants sur Coursera nous choisissent-ils pour leur carrière ?
Avis des étudiants
Affichage de 3 sur 153
153 avis
- 5 stars
73,37 %
- 4 stars
19,48 %
- 3 stars
3,24 %
- 2 stars
1,29 %
- 1 star
2,59 %
Ouvrez de nouvelles portes avec Coursera Plus
Accès illimité à plus de 7 000 cours de renommée internationale, à des projets pratiques et à des programmes de certificats reconnus sur le marché du travail, tous inclus dans votre abonnement
Faites progresser votre carrière avec un diplôme en ligne
Obtenez un diplôme auprès d’universités de renommée mondiale - 100 % en ligne
Rejoignez plus de 3 400 entreprises mondiales qui ont choisi Coursera pour les affaires
Améliorez les compétences de vos employés pour exceller dans l’économie numérique
Foire Aux Questions
Access to lectures and assignments depends on your type of enrollment. If you take a course in audit mode, you will be able to see most course materials for free. To access graded assignments and to earn a Certificate, you will need to purchase the Certificate experience, during or after your audit. If you don't see the audit option:
The course may not offer an audit option. You can try a Free Trial instead, or apply for Financial Aid.
The course may offer 'Full Course, No Certificate' instead. This option lets you see all course materials, submit required assessments, and get a final grade. This also means that you will not be able to purchase a Certificate experience.
When you purchase a Certificate you get access to all course materials, including graded assignments. Upon completing the course, your electronic Certificate will be added to your Accomplishments page - from there, you can print your Certificate or add it to your LinkedIn profile. If you only want to read and view the course content, you can audit the course for free.
You will be eligible for a full refund until two weeks after your payment date, or (for courses that have just launched) until two weeks after the first session of the course begins, whichever is later. You cannot receive a refund once you’ve earned a Course Certificate, even if you complete the course within the two-week refund period. See our full refund policy.