Prompt Engineering Full Course – GenAI, ChatGPT & Use cases

In this lecture, you’ll learn what Artificial Intelligence is and how it works in simple terms.

We’ll explore real-world examples to understand how AI is used in everyday business and professional tasks.

This lecture builds the foundation needed to understand AI-driven tools used later in the course.

In this lecture, you’ll understand what Natural Language Processing (NLP) is and why it matters.
We’ll explain how AI understands, interprets, and generates human language using simple examples.
This lecture helps you see how tools like ChatGPT process language to deliver meaningful responses.

In this lecture, you’ll learn what Large Language Models (LLMs) are and how they work at a high level.

We’ll explain how LLMs generate human-like text using training data and patterns in language.

This lecture connects LLM concepts to tools like ChatGPT used throughout the course.

In this lecture, you’ll learn what Generative Pre-trained Transformer (GPT) means in simple terms.

We’ll explain how GPT generates human-like responses and understands context.

This lecture helps you clearly differentiate GPT from AI, NLP, and LLM concepts covered earlier.

This lecture introduces Generative AI and how it creates text, images, and code using advanced models.

Learn real-world applications

In this lecture, you’ll learn what a prompt is and why it plays a critical role in AI outputs.

We’ll explain how the quality of a prompt directly impacts accuracy, tone, and relevance of responses.

This lecture lays the foundation for effective prompt engineering used throughout the course.

In this lecture, you’ll understand the difference between a simple prompt and structured prompt engineering.

We’ll compare how each approach impacts clarity, accuracy, and output quality from AI.

This lecture shows why prompt engineering delivers more consistent and professional results.

In this lecture, you’ll see a practical comparison between a simple prompt and a well-engineered prompt.
We’ll analyze how prompt structure affects response depth, clarity, and usefulness.
This example clearly demonstrates why prompt engineering produces superior AI outputs.

In this lecture, you’ll learn the key elements that make an effective AI prompt.

We’ll break down components like clarity, context, role definition, and constraints.

This lecture helps you design prompts that consistently produce accurate and high-quality outputs.

In this lecture, you’ll learn different prompting techniques used to guide AI effectively.

We’ll cover methods like zero-shot, Few Shot, and Chain of Thought prompting approaches.

This lecture helps you choose the right technique to get accurate and high-quality AI responses.

In this lecture, you’ll understand what “temperature” means in AI and why it matters.
We’ll explain how temperature controls creativity, randomness, and response consistency.
This lecture helps you choose the right temperature setting for different prompt outcomes.

In this lecture, you’ll learn what Top-P (nucleus sampling) means in AI.
We’ll explain how Top-P controls response diversity and probability selection.
This lecture helps you fine-tune AI outputs for balance between creativity and accuracy.

In this lecture, you’ll learn what frequency penalty means in AI text generation.

We’ll explain how it reduces repetition and improves response variety.

This lecture helps you fine-tune prompts for more natural and engaging outputs.

In this lecture, you’ll understand the role of context in AI technical parameters.

We’ll explain how parameters like temperature, Top-P, and penalties work together.

This lecture helps you apply the right parameter settings to achieve desired AI outputs.

In this lecture, you’ll see how AI responses change with different technical parameter settings.

We’ll compare outputs by adjusting temperature, Top-P, and frequency penalty.

This lecture helps you understand how to tune settings for precise, creative, or consistent results.

In this lecture, you’ll learn how different AI technical settings align with specific use cases.

We’ll map temperature, Top-P, and penalties to real-world business and professional applications.

This lecture helps you choose the right settings based on task requirements and desired outcomes.

In this lecture, we discuss the key challenges of traditional email communication in professional settings.

You’ll understand how manual email writing leads to time loss, inconsistent tone, and errors.

This sets the foundation for using AI to create faster, clearer, and more professional emails.

In this lecture, you’ll learn how AI can draft a professional response to a various type of scenarios you faced in a Business or professional environment.

The prompt demonstrates how to control tone, structure, and clarity while avoiding legal risk.

You’ll see how a well-designed prompt produces a ready-to-send business email in seconds.

In this lecture, you’ll learn how to apply Prompt Engineering and ChatGPT to real-world job search and interview preparation scenarios.

You will see practical prompts that help you:

• Improve your resume using AI

• Customize CVs for different job roles

• Prepare smart, structured interview answers

• Practice mock interviews using ChatGPT

• Identify skill gaps and improvement areas

This lecture bridges AI skills with career growth, showing how Prompt Engineering can deliver immediate professional impact.

In this lecture, you’ll learn how to navigate the ChatGPT interface with confidence.

We’ll cover key features, settings, and tools needed for effective and efficient usage.

By the end, you’ll be able to use ChatGPT smoothly for everyday professional tasks.

This lecture compares leading Large Language Models (LLMs) on capability, cost, accuracy, and real-world use cases. Learners will understand how to evaluate LLMs and confidently choose the right model for business, productivity, or AI-driven applications.

Understand the true capabilities and boundaries of prompting Large Language Models. By the end of this lecture, you’ll know when AI delivers value and when human judgment is essential.

In this lecture, you’ll get access to a curated library of ready-to-use AI prompts.

We’ll walk through how to use these prompts for common business and professional tasks.

This resource helps you save time and apply prompt engineering immediately in real work.

Also you can download additional documents regarding various scenario Prompts that can be utilized at ChatGpt. Please practice it once you complete the course.

Happy Learning