AI+ Everyone™

  • Beginner-Friendly Course: Ideal starting point for those new to AI, covering core principles and practical insights
  • Comprehensive Learning: Covers AI basics, real-world applications, generative AI, and ethical considerations
  • Industry & Societal Impact: Gain insights into AI’s role in industries and its broader societal influence
  • Actionable Guidance: Offers step-by-step resources to kickstart your AI journey and develop essential skills

¡Reserva ya!

  • Modalidad: Online
  • Siguiente fecha: 22/09/2025

    Incluye:

    Candidatos ideales para este curso:

    Business Leader. Champion AI adoption across the organization, aligning AI initiatives with business objectives to drive innovation and improve performance.
    Technology Executive. Define the organization’s AI strategy, ensure successful deployment, and align AI efforts with broader business goals.
    Department Head. Lead AI initiatives within your department, ensuring effective integration of AI technologies to enhance workflows and meet objectives.
    Strategy Consultant. Develop actionable AI strategies that align with client goals and identify opportunities for AI-driven growth and competitive advantage.

    • Understand the basics of digital technologies and how they affect life.
    • Awareness of ethical principles and societal impact of technology.
    • Curiosity and openness to learning about new concepts and technologies.

    Course Overview.

    Module 1: Introduction To Artificial Intelligence (AI).

    1. 1.1 What is Artificial Intelligence? Preview
    2. 1.2 A Brief History of AI Preview
    3. 1.3 Demystifying AI: Myths vs. Reality Preview
    4. 1.4 The Significance of AI in Everyday Life

    Module 2: AI Technologies.

    1. 2.1 Machine Learning: Basics and Beyond
    2. 2.2 Deep Learning and Neural Networks Preview
    3. 2.3 AI Technologies in Action: Simplified Examples Preview
    4. 2.4 Interactive Workshop: Exploring AI

    Module 3: AI in Action: Applications And Case Studies.

    1. 3.1 Introduction to AI Applications
    2. 3.2 Case Study 1: Smart Speakers Preview
    3. 3.3 Case Study 2: Self-Driving Cars
    4. 3.4 Case Study 3: Healthcare Applications

    Module 4: The Workflow of AI Projects.

    1. 4.1 Introduction to AI Project Workflow
    2. 4.2 Problem Definition and Data Preparation
    3. 4.3 Model Selection, Training, and Validation
    4. 4.4 Deployment and Integration
    5. 4.5 Evaluation and Iteration

    Module 5: Ethics And Social Implications Of AI.

    1. 5.1 Introduction to AI Ethics and Social Implications
    2. 5.2 Bias and Fairness in AI
    3. 5.3 Privacy and Security in the Age of AI
    4. 5.4 Responsible AI Development
    5. 5.5 AI and Society: Looking Ahead

    Module 6: Generative AI And Creativity.

    1. 6.1 Introduction to Generative AI
    2. 6.2 Applications of Generative AI in Creativity
    3. 6.3 Ethical Considerations in Generative AI
    4. 6.4 Exploring the Future of Creativity with AI

    Module 7: Preparing For An AI-Driven Future.

    1. 7.1 The Future Landscape of AI
    2. 7.2 AI and the Transformation of Work
    3. 7.3 Lifelong Learning in an AI World
    4. 7.4 Staying Relevant in an AI-Driven World
    5. 7.5 Interactive Discussion: Preparing for the Future with AI

    Module 8: Starting With AI: First Steps And Resources .

    1. 8.1 Introduction to Starting with AI
    2. 8.2 Choosing AI Projects
    3. 8.3 Forming AI Teams
    4. 8.4 Resources for Learning and Development in AI

    Optional Module: AI Agents for Everyone.

    1. 1. Understanding AI Agents
    2. 2. Case Studies
    3. 3. Hands-On Practice with AI Agents

     

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