Course structure
Day 1:
The Possibilities of Generative AI and Introduction to the Periodic Table of Tasks. This section sets the foundation for the entire workshop where participants will understand all the possibilities and uses of generative AI. We will cover methodologies for analyzing tasks where AI can be useful, and also develop another methodology for evaluating practical real-world applications of generative AI.
- Understanding the overall use of generative AI.
- Methodologies for analyzing tasks suitable for AI.
- Evaluating practical applications of generative AI.
Analysis of Daily Tasks and Potential of Generative AI Participants will learn how AI can help in everyday tasks. We will analyze what people spend the most time on, and how generative AI can bring improvements and increased efficiency.
- Identifying daily tasks and analyzing them.
- The potential of generative AI to improve these tasks.
Examples of trends and tools in Generative AI We will discuss trends in generative AI and how companies are using these technologies to improve productivity and efficiency.
- An overview of current trends in generative AI.
- How companies are using AI to innovate and improve productivity.
Practical Capabilities and Applications of AI This section will focus on a detailed analysis of practical use cases for generative AI based on an analysis of where people spend most of their time. We will show how specific AI capabilities can improve productivity and efficiency.
- An overview of practical AI use cases.
- Detailed analysis of specific AI capabilities and their application.
Case Studies and Current Progress of Participants. Participants will look at real-world examples where companies have successfully implemented generative AI, while discussing their ideas for using AI. The first part of the day will focus on sharing current ideas and progress.
- Analysis of case studies of successful AI implementations.
- Discussion of participants’ current ideas and progress.
Day 2:
Advanced AI Use Cases. Detailed analysis of advanced AI use cases such as personalized learning and tutoring, customer support automation, translation, data analysis, information extraction, and video and lecture analysis.
- Personalized learning and tutoring.
- Customer support automation.
- Translation and multilingual support.
- Data analysis and information extraction.
- Video and lecture analysis.
Brainstorming and Creativity This module will focus on how AI can support creative thinking and brainstorming to help generate new ideas and solutions.
- Using AI to support brainstorming.
- Generating new ideas and creative solutions using AI.
Content Creation and Article Writing Participants will learn how to use AI to create content, write articles, social media posts and other content for the web.
- Creating content for social media.
- Writing articles and blog posts using AI.
Creating Custom GPT Models Learn how to create and customize custom GPT models for increased productivity and specific tasks.
- Creating and customizing custom GPT models.
- Integrate specific knowledge into the model.
Conclusion and Evaluation The workshop will conclude with a summary of key learnings and a discussion of opportunities for further AI training. Participants will be tasked with collecting case studies during the workshop and will create action plans for their companies and personal productivity at the end.
- Summary of key learnings and lessons learned.
- Explore further learning opportunities in AI.
- Create action plans for AI implementation.
