• GenAI for Data Professionals (NL)

  • Group Training

    How can you, as a Data Professional, use GenAI in your daily work? And what should you pay attention to? This training gives you the answers to these questions.

    Training code
    CGAAIDPRCD
    Spoken Language
    Dutch
    Language Materials
    English
    Dayparts
    2
    Price
    €750,00
    excl. VAT No extra costs.

    Book GenAI for Data Professionals (NL) now

    In group training, we use several learning methods to help you obtain the knowledge, give you helpful insights and get you inspired. Check the Spoken language and Language materials on the left for language info.

    • 20-1-2025
      Online Virtual
      €750,00
      €750,00
    • 16-6-2025
      Utrecht
      €750,00
      €750,00
    GenAI for Data Professionals (NL)
    10
    8.0
    0
    1 reviews
     

    What is GenAI for Data Professionals

    In the rapidly evolving landscape of Data Engineering, Data Analysis, and Data Science, the integration of cutting-edge technologies is paramount. Enter GenAI for Data Professionals, a training designed for and by Data Engineers, Data Analysts, and Data Scientists eager to harness the full potential of Artificial Intelligence (AI) in their roles.
    In this training, we will introduce GenAI and the current toolset available in the market. We will touch on subjects such as risks, privacy, and ethical AI usage.
    We will dive in depth into GitHub Copilot, a GenAI programming assistant. We will teach you how it works, and when to use it.
    You will participate in hands-on exercises using Copilot. This interactive session aims to provide a first-hand experience of leveraging GenAI tools in a real-world context.
    During the training, the application of what you learn is central and you are challenged to work with the theory in practical cases.
    The training is given by AI experts with practical experience integrating GenAI solutions into their daily activities. Their extensive knowledge allows them to give professional application examples and how to navigate around common pitfalls.

     
     

    Who should attend GenAI for Data Professionals

    This training is intended for:

    • Data Professionals (e.g., Data Engineers, Data Analysts, Data Scientists)
    • Business and information analysts in data-driven organizations
    • Python developers

    Prerequisites

    Basic knowledge of Python is required.

    Objectives

    By the end of the training, participants will gain insights into the capabilities of GenAI, particularly in the context of data-related tasks. The hands-on assignments will reinforce theoretical concepts, enabling participants to apply GenAI tools effectively in their professional roles.

     
    Incompany

    How can you, as a Data Professional, use GenAI in your daily work? And what should you pay attention to? This training gives you the answers to these questions.

    Training code
    CGAAIDPRCD
    Spoken Language
    Dutch
    Language Materials
    English
    Dayparts
    2
    Price
    €750,00
    excl. VAT No extra costs.

    With an Incompany training you have several advantages:

    - You choose the location
    - You experience the training with your colleagues, so it is always in line with your practice
    - The trainer can tailor explanations, examples and assignments to your organization
    - In consultation exercises can be adapted to organization-specific questions

    Request more information or a quote.

    GenAI for Data Professionals (NL)
    10
    8.0
    0
    1 reviews
     

    What is GenAI for Data Professionals

    In the rapidly evolving landscape of Data Engineering, Data Analysis, and Data Science, the integration of cutting-edge technologies is paramount. Enter GenAI for Data Professionals, a training designed for and by Data Engineers, Data Analysts, and Data Scientists eager to harness the full potential of Artificial Intelligence (AI) in their roles.
    In this training, we will introduce GenAI and the current toolset available in the market. We will touch on subjects such as risks, privacy, and ethical AI usage.
    We will dive in depth into GitHub Copilot, a GenAI programming assistant. We will teach you how it works, and when to use it.
    You will participate in hands-on exercises using Copilot. This interactive session aims to provide a first-hand experience of leveraging GenAI tools in a real-world context.
    During the training, the application of what you learn is central and you are challenged to work with the theory in practical cases.
    The training is given by AI experts with practical experience integrating GenAI solutions into their daily activities. Their extensive knowledge allows them to give professional application examples and how to navigate around common pitfalls.

     
     

    Who should attend GenAI for Data Professionals

    This training is intended for:

    • Data Professionals (e.g., Data Engineers, Data Analysts, Data Scientists)
    • Business and information analysts in data-driven organizations
    • Python developers

    Prerequisites

    Basic knowledge of Python is required.

    Objectives

    By the end of the training, participants will gain insights into the capabilities of GenAI, particularly in the context of data-related tasks. The hands-on assignments will reinforce theoretical concepts, enabling participants to apply GenAI tools effectively in their professional roles.

     
  • Related

    Fields of Expertise
    Data
     
  • e-CF competences with this course

     

    At Capgemini Academy we believe in transparency and clarity in the training landscape. That is why, in the table below, we show you to which e-CF competence this training or certification contributes. For more information about how to use the e-Competence Framework read more here. If you want to know how you can apply the e-CF within your organization, read more on this page.

    e-Competence Level12345
    D.7.Data Science and Analytics     
    A.6.Application Design     
    B.1.Application Development     
    D.10.Information and Knowledge Management     
    E.5.Process Improvement     
    E.1.Forecast Development