IPN-Dharma IA Lab

    Bienvenidos
    IPN-Dharma IA Lab

    Es una iniciativa de Laboratorio de Inteligencia Artificial del CIC del IPN con la colaboración de DHARMA para motivar a investigadores, profesores y estudiantes a aprovechar los cursos, recursos y herramientas de las principales plataformas tecnológicas de la industria en las áreas de Aprendizaje Automático, Ciencia de Datos, Computación en la Nube, Inteligencia Artificial e Internet de las Cosas con el propósito de generar una experiencia práctica a través de un modelo de aprendizaje entre pares y por objetivos.

    Nivel 1: Alfabetización y Fundamentos

    Digital Transformation Using AI/ML with Google Cloud

    This program begins by introducing fundamental Google Cloud concepts to lay the foundation for how businesses use data, machine learning (ML), and artificial intelligence (AI) to transform their business models.

    What you will learn:
    • Explain what cloud technology is and the top reasons the cloud era is revolutionizing business.
    • Craft an ideal transformation challenge for your organization.
    • Identify components of a security program to build into your transformation journey.
    • Build a business case and summary page for your overall transformation project using the templates provided.

    Cursos en este programa

    1) Business Transformation with Google Cloud

    What is cloud technology or data science and what’s all the hype about? More importantly, what can it do for you, your team, and your business?

    If you want to learn about cloud technology so you can excel in your role, help build the future of your business and thrive in the cloud era, then the Business Transformation with Google Cloud course is for you. Through this interactive training, you’ll learn about core cloud business drivers—specifically Google’s cloud—and gain the knowledge/skills to determine if business transformation is right for you and your team, and build short and long-term projects using the “superpowers” of cloud accordingly. You’ll also find several templates, guides, and resource links through the supplementary student workbook to help you build a custom briefing document to share with your leadership, technical teams or partners.

    Esfuerzo  Esfuerzo estimado 11 horas

    Idioma  Idioma inglés

    Link  Coursera

    2) Infrastructure and Application Modernization with Google Cloud

    Many traditional enterprises use legacy systems and applications that often struggle to achieve the scale and speed needed to meet modern customer expectations. Business leaders and IT decision makers constantly have to choose between maintenance of legacy systems and investing in innovative new products and services.

    This course explores the challenges of an outdated IT infrastructure and how businesses can modernize it using cloud technology. It begins by exploring the different compute options available in the cloud and the benefits of each, before turning to application modernization and Application Programming Interfaces (APIs). The course also considers a range of Google Cloud solutions that can help businesses to better develop and manage their systems, such as Compute Engine, App Engine, and Apigee.

    Esfuerzo  Esfuerzo estimado 2 horas

    Idioma  Idioma inglés

    Link  Coursera

    3) Managing Machine Learning Projects with Google Cloud

    Business professionals in non-technical roles have a unique opportunity to lead or influence machine learning projects. If you have questions about machine learning and want to understand how to use it, without the technical jargon, this course is for you. Learn how to translate business problems into machine learning use cases and vet them for feasibility and impact. Find out how you can discover unexpected use cases, recognize the phases of an ML project and considerations within each, and gain confidence to propose a custom ML use case to your team or leadership or translate the requirements to a technical team.

    Esfuerzo  Esfuerzo estimado 14 horas

    Idioma  Idioma inglés

    Link  Coursera

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