AI Literacy for Everyone in 2025 (inc. Gen & Agentic AI)

Get ahead with the most essential skill of 2025- AI Literacy.

The AI Literacy Specialization Program is one-of-a-kind hierarchical & cognitive skills based curriculum that teaches artificial intelligence (AI) based on a scientific framework broken down into four levels of cognitive skills.

Part 1: Know & Understand combines the first two cognitive skills -

• Remembering (recalling facts and basic knowledge)

• Understanding (explaining concepts and ideas)

In Part 1, we cover 5 core competencies with 16 performance indicators designed to build a strong foundation in AI literacy.

Competency Overview

1) Foundations of AI

This competency focuses on establishing core AI concepts, exploring real-world applications, and understanding the fundamental components that make up AI systems. Students will learn to recognize AI in everyday contexts and understand the underlying frameworks used to analyze AI applications.

Performance Indicators:

• 1.1) Understand the definition and basic elements of AI

• 1.2) Understand the differences between AI, ML, DL, Gen AI & DS

• 1.3) Real-World Uses of AI: Industry by Industry

2) History of AI

This competency examines the evolution of artificial intelligence over time, from early theoretical concepts to today's generative AI revolution, helping students understand how historical developments have shaped current AI technologies.

Performance Indicators:

• 2.1) Understanding the history of AI & Evolution of Gen AI

3) The Terminology of AI & AI Types

This competency provides a comprehensive overview of AI terminology and classifications, enabling students to communicate effectively about different AI systems and understand how various technologies fit within the broader AI landscape.

Performance Indicators:

• 3.1) Overview: The terminology of AI

• 3.2) Types of AI Systems

• 3.3) Introduction to Machine Learning

• 3.4) Introduction to Deep Learning

• 3.5) Introduction to Generative & Agentic AI

• 3.6) Introduction to Data Science

4) Dimensions of AI Ethics

This competency explores the critical ethical considerations in AI development and deployment, examining how risks, harms, biases, and fairness considerations intersect throughout the AI lifecycle.

Performance Indicators:

• 4.1) Overview: Critical Dimensions of AI Ethics

• 4.2) Understanding the Core Risks of AI Systems

• 4.3) Understanding the Core Harms of AI Systems

• 4.4) Understanding the Core Biases of AI Systems

• 4.5) Understanding the Fairness of AI Systems

5) Characteristics of Trustworthy AI

This competency examines the essential principles that make AI systems trustworthy or responsible, focusing on governance frameworks and concrete implementation strategies for ethical AI development.

Performance Indicators:

• 5.1) Understand the Characteristics of Trustworthy AI Systems

By completing Part 1 of the AI Literacy Specialization Program, participants will develop a comprehensive understanding of AI fundamentals, terminology, historical context, ethical considerations, and trustworthiness principles. This knowledge forms the essential foundation for responsible AI use and development in any professional context. Whether you're looking to enhance your career prospects, make informed decisions about AI implementation, or simply understand the technology transforming our world, this program equips you with the knowledge and framework to confidently engage with AI systems and contribute to their ethical advancement.