Identify Agentic AI Use Cases Training

This course is designed for leaders and decision makers who are involved in use case selection and agent design and are working to identify agentic AI use cases within their organization. The course begins by framing the unique characteristics and benefits of agentic solutions to establish a common understanding of what agents are and how they differ from other AI. The core content focuses on establishing a solid understanding of the proposed Agentic Transformation Framework (ATF) processes, which include identifying initiatives with high potential for agentic solutions, reimagining processes and systems, identifying, defining, and prioritizing use cases, conducting responsible AI workshops, and doing high-level agent design. Attendees will gain their first hands-on experience with ATF activities and tools to begin the skill development process

The achievement of training objectives is evaluated at multiple levels to ensure quality:

• Continuous Knowledge Assessment : Verification of knowledge throughout the training via participatory methods (quizzes, practical exercises, case studies) under instructor supervision.
• Progress Measurement : Comparative self-assessment system including an initial diagnostic to determine the starting level, followed by a final evaluation to validate skills development.
• Quality Evaluation : End-of-session satisfaction questionnaire to measure the relevance and effectiveness of the training as perceived by participants.