Master the Art of Prompt Engineering

DIXONTECH presents an advanced, skill-oriented course designed to help professionals master the art of Prompt Engineering. Participants learn how to craft, structure, and optimize prompts to achieve accurate, consistent, and creative outputs from AI systems like ChatGPT, Claude, and Gemini. This program combines theory, practical experimentation, and real-world use cases to empower learners to communicate effectively with generative AI and leverage it for strategic business, research, and creative tasks.

TRAINING TOPICS

• FOUNDATIONS OF PROMPT ENGINEERING
• STRUCTURING PROMPTS FOR PRECISION AND CONTROL
• ADVANCED TECHNIQUES AND MULTI-SHOT PROMPTING
• ROLE-BASED AND CONTEXTUAL PROMPT STRATEGIES
• AI TOOL INTEGRATION, ETHICS, AND OPTIMIZATION

BY THE END OF THIS TRAINING COURSE, DELEGATES WILL BE ABLE TO:

• Design, refine, and apply prompts that enhance AI performance and maximize creativity and accuracy.
• Understand how AI language models interpret prompts.
• Design structured, layered, and dynamic prompts.
• Apply zero-shot, one-shot, and few-shot prompting.
• Use context, tone, and roles effectively.
• Optimize outputs across different AI platforms.
• Evaluate and iterate prompt performance effectively.

TRAINING IS TAILORED TO

Professionals, creators, and analysts seeking to improve their AI interaction and output quality.

AI Enthusiasts and Data Analysts.

Business Strategists and Innovators.

Content Creators and Digital Marketers.

Educators and Researchers.

Developers and Automation Specialists.

Professionals using AI for creativity or productivity.

TRAINING METHODOLOGY

This hands-on course combines demonstrations, guided exercises, and live practice using ChatGPT, Gemini, and other AI tools. Participants experiment with prompt variations, role-playing, and AI task automation while developing their own optimized prompt library for business and creative use.

DAY 1:

FOUNDATIONS OF PROMPT ENGINEERING

• Understanding generative AI and language model logic.
• Anatomy of a prompt: tokens, instructions, and context.
• How AI interprets and structures responses.
• Importance of specificity, clarity, and scope.
• Common errors and troubleshooting techniques.
• Introduction to prompt types: zero-shot, one-shot, few-shot.

DAY 2:

STRUCTURING PROMPTS FOR PRECISION AND CONTROL

• Defining goals, constraints, and success criteria.
• Using role-based and task-specific prompting.
• Layering context to guide consistent outputs.
• Chaining prompts for step-by-step logic.
• Techniques for improving factual accuracy.
• Building reusable prompt frameworks.

DAY 3:

ADVANCED TECHNIQUES AND MULTI-SHOT PROMPTING

• Few-shot prompting for complex task simulation.
• Combining text, data, and code inputs.
• Iterative prompting and self-correction strategies.
• Prompt patterns for creative writing and analysis.
• Using prompts to generate structured data and tables.
• Lab: crafting multi-shot prompts for real tasks.

DAY 4:

ROLE-BASED AND CONTEXTUAL PROMPT STRATEGIES

• Designing prompts with user and system roles.
• Managing tone, personality, and behavior control.
• Prompt chaining and memory optimization techniques.
• Handling multi-turn conversations and contextual flow.
• Enhancing creativity through style and scenario prompts.
• Case study: designing prompts for customer support AI.

DAY 5:

AI TOOL INTEGRATION, ETHICS, AND OPTIMIZATION

• Comparing prompt behavior across AI platforms.
• Integrating prompts into workflows and automation tools.
• Ethics, bias, and responsible AI prompting.
• Evaluating output quality and refining techniques.
• Building a personal prompt repository and templates.
• Capstone project: design a prompt system for business use.

FORMATTING NOTES:

• Font: Poppins
• Size: 12
• Headings: Uppercase + Bold
• DAY titles: Bold + separate line
• Main titles: Bold + separate line
• Bullets: Standard, one line each (5–10 words)
• Spacing and alignment: Clean professional layout.