AI Literacy: Basic Foundations
- Description
- Curriculum
- Reviews
This course demystifies Artificial Intelligence for everyone, equipping participants with the fundamental knowledge to confidently engage with AI tools, understand their capabilities and limitations, and apply ethical reasoning in their daily interactions with AI.
We focus on practical understanding and responsible use for the everyday professional.
Key Learning Outcomes
Upon completion, you will be able to:
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Understand Core AI Concepts: Clearly define what AI is, its different forms (e.g., Generative AI, LLMs), and distinguish between realistic capabilities and hype.
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Master Prompt Engineering: Craft effective prompts to get the best results from AI tools, understanding the role of clarity, context, and iterative refinement.
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Grasp Context & Token Economy: Comprehend how AI processes information and the practical implications of “context windows” and “tokens” on performance and cost.
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Apply Ethical AI Principles: Identify potential biases, privacy concerns, and responsible usage guidelines for interacting with AI, fostering a culture of informed and ethical engagement.
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Identify Practical AI Applications: Recognize how AI can enhance productivity and problem-solving in common professional scenarios.
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1Lesson 1 - Introduction to AI Literacy: Beyond the Hype
This lesson aims to provide a clear, jargon-free introduction to Artificial Intelligence, helping you understand what AI fundamentally is and isn't. We'll move past sensational headlines to focus on the practical realities of AI in today's world, setting the stage for confident and informed engagement.
🎯 Learning Objectives
By the end of this lesson, you will be able to:
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Define AI: Explain what Artificial Intelligence means in simple terms and differentiate it from science fiction.
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Identify Key AI Categories: Understand the basic distinctions between different types of AI, particularly Generative AI and Large Language Models (LLMs).
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Recognize AI in Everyday Life: Pinpoint common examples of AI you already interact with, increasing your awareness and comfort.
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Distinguish AI Capabilities from Hype: Separate realistic applications from exaggerated claims, fostering a balanced perspective.
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Articulate Your Own AI Questions: Formulate questions about AI that are most relevant to your personal or professional context.
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2Lesson 2: Prompt Engineering Fundamentals: Talking to AI Effectively
This lesson empowers you to "talk" to AI effectively by mastering the fundamentals of prompt engineering. You will learn how to structure clear, concise, and intentional instructions to elicit the best possible responses from AI tools, transforming vague queries into powerful commands.
🎯 Learning Objectives
By the end of this lesson, you will be able to:
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Define Prompt Engineering: Understand what prompt engineering is and why it's a crucial skill for interacting with AI.
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Identify Core Prompt Components: Recognize the key elements that make up an effective AI prompt (e.g., role, task, context, format).
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Apply Basic Prompting Techniques: Craft simple, clear, and actionable prompts for common tasks like summarization, brainstorming, and basic content generation.
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Iterate on Prompts: Understand the process of refining prompts based on AI outputs to achieve desired results.
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Recognize AI Limitations in Prompting: Acknowledge when a prompt might be too complex or outside the AI's current capabilities.
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