high school and middle school AI in the workplace

What Teachers Can Expect Their Learners to Achieve:

1. Develop Critical Thinking to Identify and Mitigate Bias in AI: Engage students in project-based learning that encourages them to explore how AI systems can reflect biases, using critical thinking to devise strategies for minimizing their impact.

2. Understand Best Practices for Ethical and Data Privacy Considerations: Through project-based learning, teach students best practices for handling ethical issues and data privacy, ensuring they apply these principles in real-world AI applications.

3. Enhance Career Readiness by Exploring AI’s Role in Workforce Evolution: Prepare students for future-ready careers by involving them in projects that examine how AI is reshaping the workforce, highlighting career pathways and the skills they will need.

4. Strengthen Communication Skills by Learning How to Guide AI: Through collaborative projects, students will enhance their communication skills, learning to instruct AI systems effectively and avoid common missteps.

5. Master Generative AI and Large Language Models (LLMs) for Creative Collaboration: Encourage students to collaborate on AI-driven projects that foster creativity, using generative AI while understanding its limitations and best practices for effective use.

6. Apply Critical Thinking to AI Use Cases in Real-World Scenarios: Engage students in project-based learning where they identify real-world scenarios for AI, using critical thinking to apply AI solutions and refine their understanding of best practices.

7. Prepare for Future-Ready Careers by Understanding AI’s Rapid Growth and Industry Impact: Through project-based learning, equip students with knowledge about AI’s rapid development and industry-wide influence, ensuring they are ready for future career opportunities.

8. Explore AI’s Role in Career Pathways Across Diverse Industries: Help students discover new career pathways through projects that demonstrate how AI is being used across various industries, building their career readiness.

9. Create AI Projects Using Best Practices for Effective Collaboration: Guide students through project-based learning to develop AI prompts and systems, following best practices and fostering collaboration for successful outcomes.

10. Leverage Domain Knowledge and Critical Thinking to Avoid AI Missteps: In project-based learning, students will combine domain expertise with critical thinking to guide AI effectively, ensuring they avoid over-reliance or misinterpretation of AI outputs.

11. Follow the CRAWL, WALK, RUN Method to Build Future-Ready AI Projects: Teach students to apply the CRAWL, WALK, RUN method to their AI projects, using project-based learning to progressively build their skills and prepare for real-world challenges.

12. Gain Expertise in AI Platforms for Career Readiness: Through hands-on, project-based learning, provide students with practical experience using AI platforms, preparing them for career pathways that demand AI knowledge.

13. Solve Problems with AI Through Collaboration and Critical Thinking: Engage students in collaborative, project-based learning where they apply AI to solve real-world problems, emphasizing critical thinking and teamwork to optimize outcomes.

14. Prepare for the AI in the Workplace Industry-Based Certificate for Career Readiness: Through project-based learning, help students work toward earning an industry-recognized certification, demonstrating their career readiness and proficiency in AI technologies.

• Platforms :PC, Mac, Chromebook
• Length : 6 -15 hours
• Career Cluster : Supports All Career Pathways
• Industry Certifications : Available
• Level : High School, Post-Secondary
• Course Delivery : Blended Learning, Online
• Student Competitions : none
• CEUs : Available for Teacher Training
• Prerequisites for Facilitator : None
• Prerequisites for Students : None
• 3rd Party Tools : Provided Free

We teach students to become "AI Pilots," using generative tools to enhance their productivity in fields like marketing, business, and software development.

Students learn the art and science of prompting—crafting precise instructions for AI to generate accurate, high-quality professional results.

Yes. Our curriculum is live-updated to reflect the latest shifts in LLMs and AI workplace integration, ensuring students learn the most current tools.