أساسيات الهندسة السريعة

Learn the art and science of crafting effective prompts.

Pillar

Technology – Platforms, Tools, Infrastructure & Productivity

ملخص

This course provides a comprehensive introduction to prompt engineering, a critical skill for maximizing the value of Generative AI systems. Participants will explore techniques to design, refine, and optimize prompts that guide AI models like large language models (LLMs) to produce accurate, relevant, and high-quality outputs. The workshop includes hands-on exercises and best practices for various business use cases.

Learning Objectives

Participants will be able to:

• Understand the role of prompts in influencing AI model behavior

• Design clear, concise, and context-rich prompts for diverse applications

• Experiment with prompt variations to improve output quality

• Identify common pitfalls and how to avoid ambiguous or biased prompts

• Apply prompt engineering techniques to automate and scale AI-driven workflows

Target Audience

• AI developers and data scientists

• Business analysts and product managers

• Marketing, communications, and content teams

• Anyone working with AI-powered tools and applications

Duration

20 hours over 4 days (5 hours per day)

Delivery Format

• Interactive lectures with real-world examples

• Guided hands-on prompt design and testing exercises

• Collaborative workshops to refine prompts for specific scenarios

• Peer review sessions for continuous improvement

Materials Provided

• Course slides and detailed prompt engineering guidelines

• Prompt templates and examples for various industries

• Access to AI platforms for live prompt experimentation

• Reference list of tools and resources for ongoing learning

Outcomes

• Mastery of prompt crafting techniques to influence AI output effectively

• Ability to troubleshoot and optimize prompts for better results

• Increased confidence in using AI tools across business functions

• Foundations to build AI-powered automation and decision-support systems

Outline / Content

Day 1: Introduction to Prompt Engineering

• Understanding prompts and their impact on AI outputs

• Key principles of effective prompt design

• Types of prompts: instructions, questions, completions

Day 2: Techniques and Best Practices

• Context setting and specifying desired output formats

• Controlling style, tone, and detail in AI responses

• Avoiding ambiguous and biased prompts

Day 3: Hands-on Prompt Development

• Crafting prompts for customer service, content creation, and data tasks

• Testing and iterating prompt designs

• Using prompt chaining and advanced techniques

Day 4: Scaling and Automation

• Embedding prompt engineering in workflows and applications

• Tools and platforms for managing prompt libraries

• Measuring and monitoring prompt effectiveness