Temario del curso

10:00 AM - 11:00 AM

Introduction to Artificial Intelligence


Kick off with an overview of AI, machine learning, and deep learning. Understand key terms, current capabilities, and real-world impact across industries.

11:00 AM - 12:00 PM

How AI Works: Data, Models, and Learning


Dive into how AI systems learn from data. Explore algorithms, training data, and the importance of accuracy, fairness, and data quality.

12:00 PM - 1:00 PM

Applications of AI in the Modern World


Examine how AI is transforming industries such as healthcare, education, and government through improved efficiency, data-driven decision-making, and enhanced service delivery. We will also explore how these same principles apply across a wide range of sectors—from business and finance to manufacturing, logistics, and creative industries—demonstrating that the potential of AI reaches every professional field.
 

1:00 PM - 2:00 PM

Lunch Break

2:00 PM - 3:00 PM

Understanding AI Limitations and Risks


Examine what AI can and cannot do. Discuss issues such as bias, transparency, data privacy, and ethical considerations that influence adoption.

3:00 AM - 4:00 PM

Tools and Technologies in AI


Get familiar with common AI tools and platforms, from automation and analytics to emerging generative AI systems. Learn how they fit into existing business environments.

4:00 PM - 5:00 PM

Building Your AI Awareness Roadmap


Interactive wrap-up session. Identify potential AI opportunities in your field, set learning goals, and prepare for Day 2’s deeper dive into business applications and governance.

Requerimientos

  • An understanding of basic computer concepts and terminology
  • Experience with standard office or business software tools (e.g., Excel, PowerPoint, or data dashboards)
  • No programming experience required

Audience

  • Business professionals seeking to understand how AI impacts their industry
  • Managers, analysts, and decision-makers exploring AI integration in operations or strategy
  • Technical and non-technical staff who want to build a foundational understanding of AI concepts and terminology
 7 Horas

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