AI Literacy

Describe generative AI and its applications, detailing Large Language Models (LLMs) and diffusion models, with examples in text, image, code, audio, and video generation.

Generative AI and Applications

Define artificial intelligence (AI) and explain its significance in today's world, distinguishing between narrow AI (task-specific) and general AI (human-level intelligence) with relevant examples.

Introduction to Artificial Intelligence

Explain key terms such as algorithms, machine learning, deep learning, and neural networks, and discuss different types of AI including supervised learning, unsupervised learning, and reinforcement learning.

Basic AI Concepts

Introduce the concept of AI agents and their functionalities, providing examples of their use in various tasks and industries.

AI Agents and Functionalities

Provide a historical overview of key milestones in AI development from the 1950s to the present, highlighting significant global contributions.

History of AI

Discuss current trends in AI technology and research, along with potential future developments and their societal implications.

Current Trends in AI Technology and Research

Address ethical considerations, including privacy, bias, and the potential impact of AI on employment.

Ethical Considerations in AI

Provide practical examples of AI applications in fields like healthcare, finance, and education, incorporating hands-on activities and projects for students to apply their learning.

AI Applications in Different Fields

Ensure that the content is engaging, interactive, and suitable for students with no prior knowledge of AI, while also offering opportunities for deeper exploration for advanced learners.