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Introduction to AI
Overview of AI: Understanding the basics of Artificial Intelligence.
History and Evolution: How AI has developed over the years.
Applications in Education: Real-world examples of AI in the classroom.
Machine Learning (ML)
Fundamentals of ML: Key concepts and terminology.
Types of ML: Supervised, unsupervised, and reinforcement learning.
ML in Education: Practical applications and case studies.
Deep Learning (DL)
Introduction to DL: Understanding neural networks and deep learning.
DL Techniques: Convolutional Neural Networks (CNNs), Recurrent Neural Networks (RNNs).
DL Applications: How deep learning is transforming education.
Generative AI
What is Generative AI? Understanding generative models.
Applications in Education: Creating educational content and resources.
Free Teacher Resources: Suggested tools and platforms for educators.
Prompt Engineering
Introduction to Prompt Engineering: Crafting effective prompts for AI.
Best Practices: Techniques to get the best responses from AI.
Hacks and Tricks: Tips for optimizing AI interactions.
Practical Exercises: Hands-on activities to practice prompt engineering.
Integrating AI into the Classroom
AI Tools for Educators: Overview of available AI tools and platforms.
Implementation Strategies: How to integrate AI into your teaching practice.
Case Studies: Success stories and lessons learned from AI integration.
Ethical Considerations
Ethics in AI: Understanding the ethical implications of AI in education.
Optional Add-On: Teachers ebook
Over 4500 prompts made to help with any and every teaching situation.
A teachers AI guide.
Made by teachers for teachers. Let the image be of something related to an ebook looking AI.
