Prompt Engineering Full Course – GenAI, ChatGPT & Use cases

About this course

Welcome to the Prompt Engineering Full Course – GenAI, ChatGPT & Real-World Use Cases, your complete guide to mastering the art and science of crafting effective, structured, and optimized prompts for AI models such as ChatGPT, GPT-4, and other Large Language Models (LLMs).

In today’s GenAI-driven world, the quality of AI output depends directly on the quality of your input. This course is designed to help you move beyond simple questions and learn how to create prompts that deliver accurate, creative, reliable, and context-aware results.

Instead of trial-and-error prompting, you will learn proven frameworks, techniques, and real-world strategies that professionals use to get consistent and meaningful outputs from AI tools.

You will start by learning the core elements of a good prompt — clarity, context, role definition, and rules. Through real-world examples, you will see how a simple prompt can produce a generic answer, while an engineered prompt can deliver professional, tailored, and high-impact responses.

Next, you’ll explore advanced prompt engineering techniques, including:

Systematic frameworks (Temperature, Top-P, Frequency settings)Role-based prompting (lawyer, teacher, marketer, developer, etc.)Multi-step prompt chaining for complex tasks

Using prompts in business, academics, coding, and creative writing

Zero Shot, Few Shot and Chain of Thoughts Prompting Techniques> Important GenAI Concepts CoveredAI hallucinations & how to reduce them

Bias and limitations of GenAI models

Prompt safety, ethics & responsible AI usage

Improving accuracy, consistency & control

By the end of this course, you’ll be able to design powerful, reusable prompts that can be applied in

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