Generative AI for Educators

Overview

Over half of higher education institutes have already investigated using generative AI (gen AI) in their teaching practices to create engaging learning experiences (Gartner)! This Generative AI for Educators specialization teaches educators and administrators how to leverage gen AI effectively to reinvent engaging and future-ready learning solutions and improve learning outcomes.

In this specialization, you’ll explore the fundamentals of gen AI and its capabilities across industries, including teaching. You’ll learn prompt engineering techniques and tools, including interview patterns, chain-of-thought (CoT), tree-of-thought, IBM watsonx prompt lab, Spellbook, and Dust.

Plus, you’ll explore how gen AI can empower teaching and learning methodologies using key tools including, IBM watsonx, ChatGPT, Synthesia, and Khanmigo. You’ll identify methodologies for implementing AI effectively for creating AI-enhanced education and training.

This specialization supports creating and evaluating personalized and adaptive learning content. Throughout, you’ll apply your new skills using gen AI tools in hands-on labs and projects simulating real-world scenarios.

You’ll also gain insights from experts as they explore the key concepts covered in the specialization. If you work in an educational or training setting and are keen to leverage the phenomenal power of gen AI to enhance your teaching practices, enroll today!

Syllabus

• Introduction to Generative AI in Education
Overview of Generative AI and its impact on education
Case studies: Implementations in higher education
• Fundamentals of Generative AI
Core concepts and capabilities of Generative AI
AI models and frameworks overview
• Prompt Engineering Techniques
Understanding and crafting effective prompts
Techniques: interview patterns, chain-of-thought (CoT), tree-of-thought
• Generative AI Tools for Educators
Overview of key tools: IBM watsonx, ChatGPT, Synthesia, Khanmigo
Introduction to IBM watsonx prompt lab, Spellbook, and Dust
• Application of Generative AI in Teaching and Learning
Creating personalized and adaptive learning content
Case examples of AI-enhanced education
• Hands-on Lab: Real-world Simulations
Using gen AI tools in practical scenarios
Project: Design an AI-enhanced lesson plan
• Methodologies for Implementing AI in Education
Developing strategies for AI integration
Evaluation and assessment of AI-driven learning enhancements
• Expert Insights and Panel Discussions
Guest speakers from academia and industry
Q&A sessions for deeper understanding
• Course Project: AI-enhanced Educational Solutions
Design and present a project integrating gen AI into a specific educational setting
Peer review and iterative improvement
• Course Wrap-up and Future Directions
Recap of key learnings
Exploring future trends and innovations in AI for education

Taught by

Antonio Cangiano, Filipe Martins, IBM Skills Network Team and Rav Ahuja

Subjects

Computer Science