Harnessing Generative AI: Mastering Prompt Engineering

Program Description

RATIONALE

The “Generative AI: Mastering Prompt Engineering” course is designed to equip learners with the knowledge and hands-on skills to craft effective prompts that guide AI models like GPT toward accurate, creative, and context-aware outputs. It blends theory, practice, and ethics, making it suitable for professionals, educators, and enthusiasts who want to optimize AI use in real-world settings. Prompt engineering is quickly becoming a critical digital skill. Just as spreadsheet literacy transformed business in the 1980s, prompt literacy is shaping how professionals interact with AI today.

LEARNING OBJECTIVES

Craft a prompt library tailored to a specific sector (e.g., banking compliance, customer service, or education).

Demonstrate measurable improvements in AI output quality through systematically prompt refinement.

Present a case study or project showing how prompt engineering solves a real-world problem.

COURSE CONTENTS

Foundations of Generative AI

• Explain the principles of Generative AI and how it differs from predictive AI.
• Describe the architecture of LLMs (e.g., transformers, tokenization, embeddings).
• Identify strengths and limitations of generative models, including issues like hallucination and bias.

Prompt Engineering Essentials

• Define what makes a “good prompt” (clarity, specificity, context, constraints).
• Apply prompt patterns such as role prompting, chain-of-thought, few-shot, and zero-shot prompting.
• Diagnosing and refining prompts to improve accuracy, creativity, or compliance with task requirements.

Advanced Prompting Techniques

• Leverage multi-step prompting for complex reasoning tasks.
• Design modular prompts for workflows in coding, summarization, translation, and data analysis.
• Integrate external tools and frameworks (e.g., LangChain, vector databases) to extend LLM capabilities.

Responsible & Ethical AI Use

• Recognize ethical considerations in prompt design (bias mitigation, fairness, transparency).
• Apply responsible prompting strategies to reduce harmful or misleading outputs.
• Evaluate AI responses for trustworthiness and alignment with organizational or regulatory standards.

Real-World Applications

• Develop domain-specific prompts for business, finance, education, and creative industries.
• Automate workflows using prompt engineering in chatbots, knowledge assistants, and content generation.
• Create multilingual prompts to support diverse audiences and contexts.

Hands-On Mastery

• Experiment with iterative prompt testing to achieve optimal results.
• Build mini projects (e.g., AI tutor, compliance checker, creative writing assistant).
• Document and present prompt strategies in a structured, reusable format for teams or organizations. 

Harnessing Generative AI: Mastering Prompt Engineering

Duration: 3 days

Skill Level: Foundation

Delivery Mode: Virtual

Month: March