Course structure
Day 1:
Introduction and Needs Assessment This session will set the stage for the workshop by establishing clear goals and expectations. Participants will engage in interactive activities to share their personal and professional objectives regarding AI utilization. The facilitators will then tailor the workshop content to meet these specific needs.
- Set clear goals and expectations for the workshop.
- Customize content based on participants’ needs.
- Ensure relevance and practical value for all attendees.
Introduction to the AI Task Periodic Table Participants will learn about the AI Task Periodic Table framework, which helps categorize tasks within a company based on their potential for automation. This session will include practical exercises to identify specific tasks that can be automated.
- Understand the AI Task Periodic Table framework.
- Identify tasks suitable for automation.
- Learn to categorize and assess tasks for AI implementation.
Optimal Impact of AI This module will cover methods for measuring AI’s impact on productivity and efficiency. Participants will learn how to balance human and automated tasks to maximize outcomes and will apply these principles to real-life scenarios.
- Measure the impact of AI on productivity and efficiency.
- Balance human and automated tasks for optimal results.
- Apply measurement principles to real-life company scenarios.
Overview of AI Capabilities in Client’s Industry Participants will get an overview of AI capabilities and their applications in various industries. Case studies and practical examples will illustrate how AI can be successfully implemented in their specific industry context.
- Gain an overview of AI capabilities and technologies.
- Learn from case studies of successful AI implementations.
- Discuss potential AI applications within participants’ companies.
Day 2:
Case Studies on Generative AI This session will delve into the latest trends in generative AI, exploring real-world case studies where generative AI has driven significant innovation and improvement. Group discussions will help participants identify how these technologies can be applied in their own contexts.
- Understand trends in generative AI.
- Analyze real-world generative AI case studies.
- Identify potential applications of generative AI in your company.
AI in Innovation Participants will explore how AI can foster innovation by generating new ideas and simplifying product development processes. Through creative workshops, they will generate and refine innovative solutions using AI tools.
- Learn about AI’s role in fostering innovation.
- Study case examples of AI-driven innovation.
- Participate in workshops to develop innovative AI solutions.
Implementation Workshop This practical session will guide participants through the steps of planning and simulating AI implementation within their organizations. They will create detailed implementation plans, test them in simulated environments, and refine their strategies based on feedback.
- Develop detailed AI implementation plans.
- Test plans in a simulated environment.
- Refine strategies based on feedback and practical experience.
Conclusion and Evaluation The workshop will conclude with a summary of key insights and a discussion on further education opportunities in AI. Participants will provide feedback on the workshop to help improve future sessions.
- Recap key insights and knowledge gained.
- Explore further education opportunities in AI.
- Provide feedback to improve future workshops.
