Accéder au contenu principal
AccueilArtificial Intelligence

Implementing AI Solutions in Business

Discover how to extract business value from AI. Learn to scope opportunities for AI, create POCs, implement solutions, and develop an AI strategy.

Commencer Le Cours Gratuitement
2 heures16 vidéos56 exercices24 014 apprenantsTrophyDéclaration de réalisation

Créez votre compte gratuit

GoogleLinkedInFacebook

ou

En continuant, vous acceptez nos Conditions d'utilisation, notre Politique de confidentialité et le fait que vos données sont stockées aux États-Unis.
Group

Formation de 2 personnes ou plus ?

Essayer DataCamp for Business

Apprécié par les apprenants de milliers d'entreprises


Description du cours

Discover how AI can deliver business value

The latest AI tools and technologies, such as ChatGPT, have truly spectacular capabilities, but how does this translate into business value? In this course, you’ll learn about the capabilities and limitations of AI and how it can improve employee productivity, automate business processes, and provide better, more personalized customer experiences.

Learn how to build an AI Proof of Concept (POC)

The most amazing AI products and services likely started out as basic proof of concepts (POCs). You’ll learn about the various stages and personas involved with creating a POC, all the way from scoping opportunities to building a project team and understanding resource limitations. You’ll also learn about data management, storage, and privacy to ensure that your POC is compliant with the relevant governing regulations.

Build a case for AI implementation in the business

A single AI POC is often the start of a much wider discussion on implementing more AI solutions across the business. In this course, you’ll understand when and how to turn a POC into a full-fledged solution, how to identify points of resistance to AI adoption, and how to communicate the value of AI to the wider business and customers.
Pour les entreprises

Formation de 2 personnes ou plus ?

Donnez à votre équipe l’accès à la plateforme DataCamp complète, y compris toutes les fonctionnalités.
DataCamp Pour Les EntreprisesPour une solution sur mesure , réservez une démo.

Dans les titres suivants

Principes de base de l'IA pour les entreprises

Aller à la piste
  1. 1

    Getting Started with AI

    Gratuit

    Learn what AI is, how it has evolved, and how it is different from other non-AI data solutions. In this chapter, you will begin building a framework for how to implement AI into your business, including key elements to an AI strategy, phases for implementation, and basic technical design. Finally, you'll learn about the importance of Responsible AI governance throughout the entire process.

    Jouez Au Chapitre Maintenant
    Overview of AI
    50 xp
    Do you know AI?
    50 xp
    The phases of an AI solution
    100 xp
    10,000 ft view: how does AI work?
    50 xp
    Still know AI?
    50 xp
    Generative AI vs. Other AI
    100 xp
    Components of an AI solution
    50 xp
    Responsible AI
    50 xp
    Why is Responsible AI important?
    50 xp
    Common Principles of Responsible AI
    100 xp
    Assessing risk for a new AI solution
    50 xp
  2. 2

    Benefits, Limitations, and Use Cases of AI

    You now know what AI is and how to think about it responsibly. It's time to gain a better sense of its benefits, limitations, and use cases in business. In this chapter, you'll do just that! You'll understand the value AI can bring to an organization as well as the areas it lacks in. You'll go through some high-level use cases across different departments in a business. Finally, you'll learn about principles for choosing a great use case for an AI solution.

    Jouez Au Chapitre Maintenant
  3. 3

    Building a Proof of Concept

    With use cases in mind, it's time to build a proof of concept! This is a small project that will determine the feasibility and estimate further business value if fully implemented. In this chapter, you will learn the phases of a POC, what makes them successful, and the important components to think about regarding technical infrastructure and data. Finally, you'll learn about the types of roles required for your POC project team.

    Jouez Au Chapitre Maintenant
  4. 4

    Beyond the POC

    In this final chapter of the course, you will learn the final steps of an AI solution implementation - assessing the POC, scaling, and aligning culture and skills. You will understand the areas in which a POC can be evaluated as well as what are good indicators for moving forward with scaling the solution. You will go over the big components to focus on for scaling to a full implementation, including requirements for culture and upskilling folks in your business.

    Jouez Au Chapitre Maintenant
Pour les entreprises

Formation de 2 personnes ou plus ?

Donnez à votre équipe l’accès à la plateforme DataCamp complète, y compris toutes les fonctionnalités.

Dans les titres suivants

Principes de base de l'IA pour les entreprises

Aller à la piste

collaborateurs

Collaborator's avatar
Amy Peterson
Collaborator's avatar
James Chapman
Jacob Marquez HeadshotJacob Marquez

Data Scientist at Microsoft

Voir Plus

Qu’est-ce que les autres apprenants ont à dire ?

Inscrivez-vous 15 millions d’apprenants et commencer Implementing AI Solutions in Business Aujourd’hui!

Créez votre compte gratuit

GoogleLinkedInFacebook

ou

En continuant, vous acceptez nos Conditions d'utilisation, notre Politique de confidentialité et le fait que vos données sont stockées aux États-Unis.