Prompt Engineering for Enterprise Use Cases

Develop and optimize prompts for consistent, enterprise-grade results.

Pillar

Process – Workflow, Governance, Risk & Efficiency

Overview

This course focuses on mastering prompt engineering techniques to create effective, reliable, and scalable interactions with Generative AI models in enterprise environments. Participants will learn how to craft, test, and refine prompts to maximize AI output quality and align with business objectives.

Learning Objectives

Participants will be able to:

• Understand the fundamentals of prompt engineering for GenAI

• Design prompts that deliver accurate, relevant, and compliant outputs

• Optimize prompts for various enterprise scenarios and use cases

• Implement best practices for prompt versioning and management

• Collaborate with technical teams to integrate prompts into workflows

Target Audience

• AI developers and solution architects

• Business analysts and process owners

• Content creators and knowledge workers

• Compliance and governance professionals

Duration

20 hours over 4 days (5 hours per day)

Delivery Format

• Hands-on workshops with live AI model interactions

• Case studies on successful enterprise prompt use

• Group exercises for prompt design and testing

Materials Provided

• Prompt engineering toolkit and templates

• Best practice guidelines and checklists

• Sample prompts for common enterprise applications

• Certificate of completion

Outcomes

• Create high-quality, enterprise-ready prompts

• Ensure consistency and compliance in AI-generated outputs

• Enhance collaboration between business and technical teams

• Drive improved AI adoption and productivity in workflows

Outline / Content

Day 1: Introduction to Prompt Engineering

• Basics of Generative AI and prompt mechanics

• Common prompt types and structures

• Understanding AI model behavior and limitations

Day 2: Crafting Effective Enterprise Prompts

• Designing prompts for accuracy and relevance

• Handling sensitive and regulated content

• Prompt iteration and refinement techniques

Day 3: Optimizing and Managing Prompts

• Version control and prompt governance

• Tools for prompt testing and monitoring

• Collaboration strategies with AI and business teams

Day 4: Advanced Use Cases and Integration

• Customizing prompts for specific business functions

• Embedding prompts into automated workflows

• Final workshop: Building a prompt library for your enterprise