Generative artificial intelligence (AI) is a major milestone in business automation. Despite its recency, it has already had a significant impact on our lives. But, the rapid pace at which generative AI is growing can be overwhelming. And, there are so many facets to this field that it can be difficult to know how to use it effectively to improve the business.
GenAIBIZ: Making Generative AI Work for Your Business
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Ce que vous apprendrez
In this course, you will identify ways in which generative AI can bring significant value to the organization.
Compétences que vous acquerrez
- Catégorie : Large Language Modeling
- Catégorie : Data Strategy
- Catégorie : Artificial Intelligence
- Catégorie : Data Ethics
- Catégorie : Process Optimization
- Catégorie : Operational Efficiency
- Catégorie : Artificial Intelligence and Machine Learning (AI/ML)
- Catégorie : Big Data
- Catégorie : Generative AI
- Catégorie : Artificial Neural Networks
- Catégorie : AI Product Strategy
- Catégorie : Natural Language Processing
- Catégorie : User Experience
- Catégorie : Process Improvement and Optimization
- Catégorie : Business Strategy
- Catégorie : Marketing
- Catégorie : Cloud Computing
- Catégorie : Generative Model Architectures
- Catégorie : Customer Service
- Catégorie : Process Improvement
Détails à connaître
Certificat partageable
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Récemment mis à jour !
décembre 2025
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1 devoir
Enseigné en Anglais
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Il y a 8 modules dans ce cours
Before you explore the many ways in which generative artificial intelligence (AI) can bring value to the business, you must first grasp the fundamentals. In this lesson, you'll identify what exactly AI is, as well as gain a high-level understanding of the major concepts that make up AI. This will provide you with a framework for understanding the concepts and practical implications behind generative AI, as well as enable you to speak intelligently about this revolutionary phenomenon.
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The first modality of generative artificial intelligence (AI) you'll take a closer look at is also one of the most popular ones: text generation. In this lesson, you'll dive deeper into the different methods and tools used for text generation, as well as how you can apply text generation to various business use cases.
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Generating images and video is the next modality of generative artificial intelligence (AI) you'll explore. Organizations make use of visual assets in a lot of different ways, so being able to generate them using AI has great potential.
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The next modality of generative artificial intelligence (AI) you'll learn about is generating audio. Like images and video, audio can play an important role in an organization's products and services. Leveraging AI for this purpose can prove to be a great benefit.
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The last modality of generative artificial intelligence (AI) you'll look at is code generation. Software development is a crucial component of many organizations, as it is the mechanism by which the organization's applications are created and distributed to customers, employees, and other users. Being able to generate code will greatly benefit developers and the business in multiple ways. In this lesson, you'll take a look at techniques, tools, and use cases for code generation.
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You've experienced the many modalities and outcomes that generative artificial intelligence (AI) has to offer. Generative AI has the power to be truly revolutionary for businesses and society at large. But, it brings with it significant challenges. You must navigate these challenges in order to be successful with generative AI and to reduce the chances that this technology will do more harm than good.
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Acknowledging the risks of generative artificial intelligence (AI) is an important step. Once you accept these risks, you'll need to determine how best to leverage generative AI to achieve business success. In this lesson, you'll implement strategies to guide the business into using generative AI safely and effectively.
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You'll wrap things up and then validate what you've learned in this course by taking the credential exam.
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En savoir plus sur Business Essentials
Statut : Essai gratuitUniversity of Michigan
Statut : Essai gratuit
Statut : Essai gratuitUniversity of Michigan
Statut : Essai gratuit
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