Course AI-AI1 Introduction to Artificial Intelligence – Overview

$595.00

Classes on one day, Instructor Led, online and discounts for more than one student

Description

Introduction to AI – One-Day Course Syllabus

Instructor: Brad
Duration: One Day (Approx. 6 Hours)
Format: Lecture, Hands-on Activities, and Discussions

Course Description:

This short course provides a high-level overview of Artificial Intelligence (AI), including its history, key concepts, applications, and ethical considerations. It is designed for beginners with little to no prior experience in AI.

Learning Objectives:

By the end of this course, participants will:

  • Understand the fundamental concepts and history of AI.
  • Learn about key AI techniques, including machine learning and neural networks.
  • Explore real-world applications of AI across industries.
  • Discuss the ethical challenges and future of AI.
  • Gain hands-on experience with AI tools and platforms.

Course Schedule:

Session 1: Introduction to AI (9:00 AM – 10:00 AM)

  • What is AI?
  • History and evolution of AI
  • Types of AI: Narrow AI vs. General AI
  • Key AI subfields (Machine Learning, Deep Learning, NLP, etc.)

Session 2: How AI Works (10:15 AM – 11:30 AM)

  • Fundamentals of Machine Learning
  • Neural Networks and Deep Learning
  • Data in AI: Training models and bias issues
  • AI tools and frameworks (e.g., ChatGPT, TensorFlow, etc.)

Session 3: AI in the Real World (11:45 AM – 12:30 PM)

  • AI applications in healthcare, finance, transportation, and more
  • Live demo of AI-powered tools
  • Discussion: The impact of AI on jobs and society

Lunch Break (12:30 PM – 1:30 PM)

Session 4: Ethical Considerations & Challenges (1:30 PM – 2:30 PM)

  • AI biases and fairness
  • Privacy concerns
  • Regulation and responsible AI development

Session 5: Hands-on Activity (2:45 PM – 4:00 PM)

  • Experimenting with AI tools (e.g., using AI chatbots, image recognition tools, or simple coding exercises)
  • Group discussion and Q&A

Final Discussion & Closing (4:00 PM – 4:30 PM)

  • Recap of key takeaways
  • The future of AI
  • Open Q&A and feedback