Module 1 : Foundations for Practical AI Use

● Build a clear understanding of how today’s AI systems work : Participants get a straightforward explanation of how generative models create responses, why they behave the way they do and what professionals actually need to know to use them confidently without technical overload.

● Learn where AI adds value and where it can go wrong : This section highlights the strengths and limitations of AI in real work settings, helping learners recognize common risks, inaccuracies and misconceptions while understanding why good prompts lead to better results.

Module 2 : The Core Prompt Engineering Framework

● Master a simple and repeatable structure for crafting effective prompts : Learners explore a clear framework for writing prompts that guide AI output with purpose, clarity and consistency, helping eliminate guesswork and vague instructions.

● Build hands-on skill through guided practice and refinement : Participants apply the framework to real scenarios, learning how to break down complex tasks, refine prompts step by step and intentionally improve the quality of AI responses.

Module 3: Reliability & Evaluation Toolkit

● Learn how to evaluate AI outputs with a practical and business friendly rubric : Participants use a clear checklist to judge whether the AI’s answers are accurate, logical, complete, aligned with expectations and build confidence in assessing quality.

● Strengthen prompts by identifying and fixing weak outputs : Learners practice spotting hallucinations, inconsistencies and incomplete reasoning, then improve their prompts to produce more reliable responses, turning errors into learning opportunities.

Module 4 : Applied Workflow Labs

● Apply AI to real workplace scenarios in a structured and team based setting : Teams work through practical tasks such as report drafting, process summaries, communication improvements, policy drafting or comparative analyses to experience AI as a tool woven into everyday workflows.

● Practice the full workflow from framing to evaluation : Each scenario walks participants through defining the problem, crafting the prompt and evaluating the AI’s output, reinforcing a complete and repeatable approach that can be used back on the job.

Module 5 : Advanced Prompting

● Multi Step & Example Driven Techniques : Use techniques like prompt chaining and few shot examples to handle multi step or more complex tasks with greater clarity and consistency.

● Applying Advanced Methods in Real Scenarios : Learn how retrieval supported prompting works and apply all advanced methods in a hands-on business scenario to improve accuracy and real world usefulness.

Module 6 : Capstone & Presentation

● Design a complete AI assisted workflow from start to finish : Participants choose a meaningful business task and build out a full workflow using the methods learned framing the problem, designing prompts and testing the output.

● Present and explain your prompting approach : Each participant shares their final workflow and the reasoning behind their prompt choices, demonstrating mastery while gaining feedback and insights from the group.