Course Overview

AWS customers can supplement their AWS training plan with role based AI certifications.

Learn how to decode the buzzword - artificial intelligence - with our AI+ Everyone Training. This course is designed to make AI accessible to a broad audience, from beginners to those with a foundational understanding of digital technologies and ethical principles. It covers the essentials of AI technologies, real-world applications, and the ethical considerations necessary for responsible AI implementation.

Gain insights with the AI+ Everyone course which dives into the fundamentals of AI, from basic concepts to advanced applications like generative AI and project workflows. Participants of this course will acquire a holistic understanding of how AI can be leveraged to solve global challenges and drive innovation across various sectors.

Our expert team of AI Certs authorized trainers will guide you through the ethical landscape of AI, ensuring you understand how to navigate its societal impacts responsibly. This training will empower you with the confidence to apply AI solutions in real-world scenarios effectively and ethically. You will also gain insights into how AI is revolutionizing industries and what it means for the future.

What you will learn

• Foundational understanding
• Practical Application
• Case study analysis
• Ethical Awareness
• Preparation for the future

Who should attend

• Business Managers

Course Outline

• Introduction To Artificial Intelligence (AI)

  • What is Artificial Intelligence?
  • A Brief History of AI
  • Demystifying AI: Myths vs. Reality
  • The Significance of AI in Everyday Life

• AI Technologies

  • Machine Learning: Basics and Beyond
  • Deep Learning and Neural Networks
  • AI Technologies in Action: Simplified Examples
  • Interactive Workshop: Exploring AI

• AI in Action: Applications And Case Studies

  • Introduction to AI Applications
  • Case Study 1: Smart Speakers
  • Case Study 2: Self-Driving Cars
  • Case Study 3: Healthcare Applications

• The Workflow of AI Projects

  • Introduction to AI Project Workflow
  • Problem Definition and Data Preparation
  • Model Selection, Training, and Validation
  • Deployment and Integration
  • Evaluation and Iteration

• Ethics And Social Implications Of AI

  • Introduction to AI Ethics and Social Implications
  • Bias and Fairness in AI
  • Privacy and Security in the Age of AI
  • Responsible AI Development
  • AI and Society: Looking Ahead

• Generative AI And Creativity

  • Introduction to Generative AI
  • Applications of Generative AI in Creativity
  • Ethical Considerations in Generative AI
  • Exploring the Future of Creativity with AI

• Preparing For An AI-Driven Future

  • The Future Landscape of AI
  • AI and the Transformation of Work
  • Lifelong Learning in an AI World
  • Staying Relevant in an AI-Driven World
  • Interactive Discussion: Preparing for the Future with AI

• Starting With AI: First Steps And Resources

  • Introduction to Starting with AI
  • Choosing AI Projects
  • Forming AI Teams
  • Resources for Learning and Development in AI