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Curriculum and Lessons
This section provides comprehensive, multi-day instructional materials for teachers looking for deep, structured learning. These resources are organized by grade level and subject focus to help you quickly identify the best fit for your classroom needs.
If you are looking for structured one-hour lessons, explore the Hour of AI section.
K-5 Elementary Curriculum
Code.org: How AI Makes Decisions
Grade Level: 3-5
Duration: 5 Lessons (~5 Hours)
Curriculum Overview: This module introduces young students to machine learning through the "Problem Solving Process." Students learn how humans categorize data to help computers make predictions and practice training a simple model to see how data quality changes the outcome.
Key Topics: Data categorization, predictive modeling, human-in-the-loop, and basic machine learning logic.
Google x 4-H: Artificial Intelligence Curriculum
Grade Level: 3-5 (with extensions for 6-8)
Duration: Modular (Activities range from 30–60 mins each)
Curriculum Overview: Designed specifically for rural and community-based learning, this curriculum uses hands-on projects to show how AI is used in agriculture and daily life. It includes the "Lend a Helping Farm Hand" course, where students investigate how robots assist with agricultural tasks.
Key Topics: Robotics in agriculture, sensing vs. perceiving, and real-world AI applications in local communities.
Teaching AI Starting in (Pre) K - 2nd Grade
Grade Level: K-2
Duration: 6 Lessons (~6 Hours)
Curriculum Overview: These lessons and activities have been created to teach students about how Artificial Intelligence works starting in PreK-2. The more students understand about how AI works, the better decisions they can make about using (or not using) AI.
Key Topics: What is AI? Societal Impact of AI, Learning, Data, Language Models, AI and Art
Thinking with KIBO
Grade Level: K-2
Duration: 5 Lessons (~5 Hours)
Curriculum Overview: A screen-free introduction to robotics and automation. Students use a physical robot to understand how machines follow "code" and how sensors allow a machine to react to its surroundings without a human "pilot."
Key Topics: Automation, inputs and outputs, sensor-based logic, and the difference between robots and living things.
Middle School Curriculum
AI + Ethics Curriculum for Middle School (MIT)
Grade Level: 5-8
Duration: 10-12 Hours
Curriculum Overview: Teaches students that algorithms are "opinions embedded in code" and are shaped by human values.
Key Topics: Ethical matrices, YouTube recommendation bias, and stakeholder analysis.
DAILy Curriculum
Grade Level: 6-8
Duration: 30+ Hours
Curriculum Overview: "Developing AI Literacy" uses hands-on projects to teach technical mechanics alongside creative and social applications.
Key Topics: Generative AI, Natural Language Processing (NLP), and creative AI tools.
Link: Click Here
Middle and High School Curriculum
AI & Cybersecurity for Teens (ACT)
Grade Level: 9-12
Duration: 15-20 Hours
Curriculum Overview: Investigates the "arms race" between AI-powered hackers and AI-powered network defense.
Key Topics: Adversarial machine learning, deepfakes, and botnet detection
AI for Georgia (AI4GA)
Grade Level: 6-12
Duration: 9-Weeks
Curriculum Overview: Specifically co-designed for rural and urban middle schoolers, this 3-unit curriculum focuses on making AI relevant to students' personal identities and future careers.
Key Topics: Autonomous robots, Natural Language Processing (NLP), and automated decision-making.
Link: Click Here
Code.org: AI and Machine Learning (CSD Unit 7)
Grade Level: 6 - 10
Duration: ~20 Hours
Curriculum Overview: Students develop projects using real-world datasets and design a mobile app that uses a machine learning model to solve a problem.
Key Topics: Neural networks, computer vision, Large Language Models (LLMs), and the societal impacts of AI.
Code.org: AI Foundations
Grade Level: 9-12
Duration: Full Semester
Curriculum Overview: A free, flexible high school course that blends real-world AI applications with computer science fundamentals. It requires no prior experience and covers the core principles of how AI is transforming various industries.
Key Topics: Neural networks, computer vision, Large Language Models (LLMs), and the societal impacts of AI.
CS Frontiers: AI/ML
Grade Level: 9-12
Duration: 9-Week Module
Curriculum Overview: Uses block-based coding (NetsBlox) to analyze live data from social media platforms in real-time.
Key Topics: Sentiment analysis, Twitter bot detection, and distributed computing.
Link: Click Here
Exploring Computer Science Unit on AI
Grade Level: 9-12
Duration: 4-6 weeks
Curriculum Overview: A research-based unit that focuses on demystifying deep learning through real-world social scenarios.
Key Topics: Neural network architecture, social impacts, and smart environment design.
Machine Learning for Kids
Grade Level: 6-10
Duration: Flexible (Project-Based)
Curriculum Overview: Hands-on platform where students train their own models and integrate them into Scratch or Python projects.
Key Topics: Training vs. testing sets, NLP, and image classification.
Link: Click Here
Microsoft FarmBeats for Students
Grade Level: 6-12
Duration: 20+ Lessons (45 mins each)
Curriculum Overview: This is a precision agriculture unit where students build a functional plant monitoring system. It bridges the gap between physical hardware and cloud-based data analysis.
Key Topics: Internet of Things (IoT), Data Collection, Big Data, Agriculture
Stanford CRAFT
Grade Level: 6-12
Duration: 15 mins to Multi-Day (Modular)
Curriculum Overview: A multidisciplinary library that lets any teacher (Art, History, ELA) include AI. It focuses on the social critique of AI, covering topics like Deepfakes, algorithmic bias in search results, and media literacy.
Key Topics: Deepfakes, algorithmic bias, AI policy, and rhetorical literacy in storytelling.
Youcubed Data Science
Grade Level: 6-12
Duration: ~4 Weeks Per Unit
Curriculum Overview: The "math path." Students use tools like CODAP and Google Sheets to explore real-world datasets, learning the statistical logic that powers modern AI models.
Key Topics: Data variability, measures of center and spread, pattern seeking, and data visualization.
Link: Click Here
Cross-Curricular & Support Resources
Cross-Curricular & Support Resources
These resources are designed to be "plugged in" to existing subjects like Math, ELA, or History, or used for quick workshop-style learning.
CRAFT: Classroom-Ready Resources About AI for Teaching (Stanford)
Grade Level: 6–12
Duration: 45–90 Mins per lesson
Overview: Excellent for ELA and History; focuses on AI literacy, deepfakes, and media critique.
Grade Level: K–12
Duration: Modular
Overview: A 48-card physical deck used to inspire human-centered AI design and ethical discussions in any classroom.
Grade Level: 6–12
Duration: 1–3 Hours per kit
Overview: Facilitator-led kits (e.g., "Chatbots for Good") that provide everything needed for a quick, industry-aligned AI workshop.
Grade Level: K–12
Duration: Modular
Overview: A leading resource for prompt engineering, academic integrity guidelines, and responsible AI adoption frameworks.
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