Programme outline
Learning objectives
By the end of the course, participants will be able to:
- Address evaluation of assignments that use Artificial Intelligence (AI) for any ethical deviations
- Identify ethical concerns in AI use to create an ethical framework to apply to AI solutions
- Distinguish between core AI architectures, such as, neural networks, U-net (diffusion), and attention mechanisms
- Understand, and execute, the training process of AI models using labelled datasets.
- Use free and paid AI tools to use minimum efforts to produce instructional videos.
- Use ChatGPT to generate and modify Python codes to create a Large Language Model (LLM)-based educational tool.
- Incorporate rubrics for assessments through Application Programming Interface (API).
- Read and write spreadsheet data with vibe coding and compile grade computations from learning management systems (LMS).
- Guide learners in using GPT-based tools for ideation, iteration, and reflection in design thinking.
- Identify when a course-specific chatbot offers more value than a generic AI chatbot.
- Develop and deploy a chatbot as a standalone link or frame.
Day 1
- What is AI? Understanding Basic Taxonomies and Capabilities to Teach Design-AI Ready Courses
- Creating Videos using AI Tools
- Creating Your Own Educator Tools with Vibe Coding and OpenAI API
Day 2
- AI Readiness in the Classroom: Zero-Code Strategies for Enabling a Design-AI Ready Curriculum
- Mapping Design Competencies Using AI Agents
- Course-ready Chatbot in 3 hours
Assessment
- Online quiz
- Class participation and assignments