Computer Science

AI for Decision Makers

(0 reviews)
Share icon
Coursera With GroupifyAI

This course provides a comprehensive overview of AI applications, leadership skills, ethical considerations, and policy development for effective and responsible AI usage.

Key AI Functions:Artificial Intelligence (AI)

Description for AI for Decision Makers

Features of Course

  • Explore AI applications, benefits, challenges, ethical considerations, and policy implications.
  • Develop leadership skills for efficient, ethical, and creative AI usage in various settings.
  • Learn to identify AI technologies, understand underlying tech, and address ethical concerns and strategies.
  • Understand AI model components, customization needs, and develop adaptable AI policies addressing legal aspects.
  • Level: Beginner

    Certification Degree: Yes

    Languages the Course is Available: 21

    Offered by: On Coursera provided by Fred Hutchinson Cancer Center

    Duration: 3 weeks at 4 hours a week

    Schedule: Flexible

    Reviews for AI for Decision Makers

    0 / 5

    from 0 reviews

    Ease of Use

    Ease of Customization

    Intuitive Interface

    Value for Money

    Support Team Responsiveness

    Alternative Tools for AI for Decision Makers

    Master Apache Spark's scalable machine learning techniques for optimizing performance and managing large datasets.

    #artificial intelligence (ai) #data science
    icon

    A structured method for the effective application of machine learning, while also taking into account ethical considerations and business value.

    #predictive analytics #ethics of artificial intelligence
    icon

    With an emphasis on fairness measurement methods, the course teaches students how to use the Aequitas Tool to identify bias in machine learning models.

    #software engineering #artificial intelligence (ai)
    icon

    Develop an understanding of the machine learning protocol, which encompasses the entire process from data preparation and model training to the dissemination of results to the organization.

    #modeling #process management
    icon

    In this course, the main business applications of AI/ML are introduced, with an emphasis on tool selection and ethical behavior.

    #ethics of artificial intelligence #business solutions
    icon

    The course on artificial intelligence (AI) compares AI to human intelligence, investigates the evolution of AI and its implications in industry, and addresses computational thinking, ethical considerations, and curriculum-based thinking skills.

    #Ethical Awareness #Machine Learning
    icon

    This AI course instructs data scientists on the development of automated algorithms using Watson Studio's AutoAI, with an emphasis on hyperparameter optimization, feature engineering, and model selection.

    #Data Science #Python Programming
    icon

    Begin your AI voyage with our comprehensive course on Microsoft Azure, which covers key AI concepts, responsible AI principles, and preparation for the AI-900 certification exam. This course is suitable for both beginners and experienced professionals.

    #Artificial Intelligence (AI) #Microsoft Azure
    icon

    The course delves into the fundamental models and concepts of generative AI, as well as foundation models, pre-trained models for AI applications, and a variety of generative AI platforms, including IBM Watson and Hugging Face.

    #Artificial Intelligence (AI) #Large Language Models (LLM)
    icon

    Secure your organization's future in unstable markets. Acquire the knowledge and abilities necessary to acclimate and succeed in a business environment that is undergoing rapid change.

    #Artificial Intelligence (AI) #Sustainability
    icon