Generative AI for Educators Specialization Course Syllabus
Full curriculum breakdown — modules, lessons, estimated time, and outcomes.
Overview: This specialization provides educators with a comprehensive and practical understanding of generative AI and its applications in teaching and learning. Through hands-on modules, participants will explore core AI concepts, prompt engineering, AI-powered educational tools, and strategies for designing personalized learning experiences. The course is designed for beginners and requires approximately 10 hours of total learning time, offering lifetime access and a certificate upon completion.
Module 1: Generative AI Fundamentals
Estimated time: 1 hour
- Introduction to generative AI
- Core principles of AI in education
- Transformative potential for teaching practices
- Overview of AI-augmented learning environments
Module 2: Generative AI in Education
Estimated time: 4 hours
- Applications of generative AI in classrooms
- Creating personalized learning experiences
- Enhancing student engagement with AI
- Case studies in AI-driven instruction
Module 3: AI Tools for Educators
Estimated time: 2 hours
- Hands-on with ChatGPT for content creation
- Using DALL·E for visual learning materials
- Exploring Synthesia for AI-generated video lessons
- Introduction to IBM watsonx for educators
Module 4: Prompt Engineering Techniques
Estimated time: 2 hours
- Advanced prompting strategies
- Interview pattern prompting
- Chain-of-thought reasoning with AI
- Tree-of-thought prompting methods
Module 5: Personalized Learning Design
Estimated time: 2 hours
- Designing adaptive learning paths
- Catering to diverse learning styles
- Incorporating AI feedback loops
Module 6: AI Integration in Assessments
Estimated time: 2 hours
- Using AI for performance assessments
- Delivering real-time customized feedback
- Designing AI-supported evaluation rubrics
Module 7: Final Project
Estimated time: 3 hours
- Create a personalized lesson using generative AI
- Apply prompt engineering techniques
- Submit for peer review and feedback
Prerequisites
- Basic computer literacy
- Familiarity with digital learning platforms
- Interest in AI and education
What You'll Be Able to Do After
- Explain core concepts of generative AI in education
- Apply advanced prompt engineering techniques
- Use AI tools like ChatGPT, DALL·E, and IBM watsonx effectively
- Design personalized and adaptive learning materials
- Integrate AI into assessments for real-time feedback