Module 1: Introduction to Prompt Engineering
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Why Prompt Engineering is Important Today
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Real-world Examples & Use Cases
Module 2: Foundations of Prompts
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Structure of a Prompt (Role, Instruction, Context, Output)
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Zero-shot, One-shot, and Few-shot Prompting
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System Prompt vs User Prompt
Module 3: Prompting Techniques
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Role-based Prompting (e.g., “Act as a Data Analyst…”)
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Chain-of-Thought Prompting (step-by-step reasoning)
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Iterative Prompting (refine for better answers)
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Constraint-based Prompting (word limit, format, tone)
Module 4: Advanced Prompt Strategies
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Multi-turn Conversation Design
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Prompting for Creativity (stories, ads, ideas)
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Prompting for Productivity (emails, reports, summaries)
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Prompting for Technical Tasks (coding, debugging, data analysis)
Module 5: Practical Applications
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Prompt Engineering for Businesses (marketing, content, customer support)
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Prompt Engineering for Students & Professionals (research, learning, CVs)
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Prompt Engineering for Developers (code generation, SQL queries)
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Prompt Engineering for Data Analysts (Python, dashboards, insights)
Module 6: Hands-On Workshop
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Live Demo – Building Effective Prompts
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Group Exercise – Rewrite Weak Prompts into Strong Ones
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Mini Project – Create an AI Assistant (choose a domain: business, education, coding)
Module 7: Best Practices & Ethics
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Common Mistakes in Prompting
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Ethical Use of AI & Prompt Engineering
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Future of Prompt Engineering
Module 8: Wrap-Up
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Recap of Key Learnings
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Q&A Session
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Resources & Templates for Further Learning
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Certificate of Completion (optional if you want to give it)
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