AI & Machine Generators

AI Awakening: Implications in Economy & Society

(0 reviews)
Share icon
Coursera With GroupifyAI

Learn the basics of Generative AI and its economic and business impact, employment consequences, potential risks, and insights from industry leaders like Google and OpenAI.

Key AI Functions:

Generative AI,Digital transformation,Digital economy

Description for AI Awakening: Implications in Economy & Society

  • Basics of Generative Artificial Intelligence
  • Impact of Generative AI on the Economy and Business
  • Employment Consequences and Potential Risks of GenAI
  • Insights from Speakers from Google, OpenAI, Scale AI, and Other Leading AI Companies
  • Level: Beginner

    Certification Degree: Yes

    Languages the Course is Available: 21

    Offered by: On Coursera provided by Stanford University

    Duration: 3 weeks at 1 hour a week

    Schedule: Flexible

    Reviews for AI Awakening: Implications in Economy & Society

    0 / 5

    from 0 reviews

    Ease of Use

    Ease of Customization

    Intuitive Interface

    Value for Money

    Support Team Responsiveness

    Alternative Tools for AI Awakening: Implications in Economy & Society

    Comprehend generative AI basics, practical applications, ethical implications, and potential impacts on student learning in education.

    #Generative AI #Education
    Visit icon

    This learning path provides a thorough overview of generative AI. This specialization delves into the ethical considerations that are essential for the responsible development and deployment of AI, as well as the foundations of large language models (LLMs) and their diverse applications.

    #Generative AI #Large Language Models
    Visit icon

    Generative AI for Your Benefit. Utilize Generative AI to develop and instruct personalized assistants.

    #Generative AI #Problem Formulation
    Visit icon

    Utilize Generative AI to optimize marketing creativity. Explore the potential of Generative AI to revolutionize and influence your marketing organization.

    #Generative AI #Large Language Models
    Visit icon

    Gain comprehensive understanding of generative AI principles, apply them to code generation, develop expertise in GANs and autoencoders, and achieve practical proficiency.

    #Generative AI #Code Generation
    Visit icon

    Learn the significance, use cases, history, and pros and cons of generative AI in a business context, with a focus on its relationship to machine learning and services at Amazon.

    #Generative AI #Amazon Web Services
    Visit icon

    This course explores enterprise machine learning applications, assesses the viability of ML use cases, and addresses the prerequisites, data characteristics, and critical factors for developing and managing ML models.

    #Machine Learning #Google Cloud
    Visit icon

    The course introduces Google Cloud fundamentals for transforming business models with data, ML, and AI, targeting those interested in cloud AI/ML impacts on business without requiring prior experience, and excludes hands-on technical training.

    #Digital Transformation #Artificial Intelligence
    Visit 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
    Visit icon