Prompt Engineering Basics

Most people use AI tools at about 10% of their actual capability. The difference between getting a mediocre response and getting exactly what you need — every time — comes down to one skill: prompt engineering. And it is a skill anyone can learn.

This certificate course teaches you how to communicate with AI language models like ChatGPT and Claude at a professional level. You will learn the frameworks, patterns, and techniques used by AI professionals to get precise, reliable, high-quality results from any LLM. Every lesson is taught by Debasis Bhattacharjee, a working AI Developer who uses advanced prompting techniques in real software and business systems every day.

Why Prompt Engineering Is One of the Most Valuable Skills of This Decade

As AI becomes embedded in every profession, the ability to direct AI effectively becomes a core professional skill — just like knowing how to use a spreadsheet or write a clear email. Companies are already hiring dedicated prompt engineers. Freelancers who offer AI consulting and prompt optimisation services are commanding strong rates. And every professional who masters prompting gets more done in less time than those who do not.

This course teaches you not just what to type, but why certain approaches work and others fail — so you can apply these principles to any AI tool, now and in the future.

What You Will Actually Build

• Project 1 — Prompt Library: A personal, organised library of reusable prompts for your specific use cases — writing, research, coding, analysis, or whatever your work demands.
• Project 2 — AI Workflow System: A documented, step-by-step workflow using chained prompts to complete a complex real-world task from start to finish — demonstrating how to break big problems into AI-solvable steps.
• Project 3 — Custom System Prompt: A professional-grade system prompt that configures an AI assistant for a specific role — copywriter, code reviewer, customer support agent, or another role relevant to your work.

What You Will Learn

• Prompt Fundamentals: How LLMs process language, what affects output quality, and the key variables every prompt must control — role, context, instruction, format, and tone.
• Core Prompting Techniques: Zero-shot, few-shot, chain-of-thought, role prompting, and structured output formatting.
• Advanced Frameworks: The RACI, CO-STAR, and other professional prompting frameworks used in production AI systems.
• Iterative Prompting: How to diagnose why a prompt is underperforming and systematically improve it through iteration.
• System Prompts and Context Management: Building persistent AI personas, managing long context windows, and maintaining consistency across long conversations.
• Prompt Engineering for Different Tasks: Writing, coding, data analysis, summarisation, research, image generation, and customer-facing applications.

Who This Course Is For

This course is for anyone who uses AI tools and wants to get dramatically better results from them. It is ideal for marketers, developers, writers, business analysts, educators, and entrepreneurs. You should have some basic familiarity with ChatGPT or Claude before starting — this course takes you from casual user to confident professional.

Batch Classes vs 1-on-1 Mentorship

The Batch format runs live group sessions where you build and test prompts together with peers. The 1-on-1 Mentorship format focuses entirely on prompting for your specific tools, industry, and workflows. Both formats cover the full curriculum.

Enroll Today

Book your free 15-minute consultation call. Debasis will assess your current AI usage and show you exactly where better prompting could transform your results — completely free, no obligation.