ChatGPT Prompt Engineering: AI Masterclass From Zero to Hero

Uncover the true potential of AI tools like ChatGPT, Gemini, and Claude AI through the art of prompt engineering! This beginner-friendly course is designed for everyone—whether you're a executive, student, teacher, marketer, entrepreneur, manager, software engineering or just curious of AI. You'll learn how to communicate effectively with Generative AI to get smarter, faster, and more accurate results there by increasing your productivity.

Through engaging, bite-sized lessons and real-world demos, you’ll master prompt types, structuring, personas, creativity control, debugging, and advanced techniques like Chain-of-Thought, Few-Shot, and ReAct. No coding skills needed!

Learn how to:

- Write prompts that get meaningful results

- Improve outputs by refining and structuring input

- Use AI for writing, learning, marketing, coding, and more

- Apply prompts ethically and responsibly

- Build your own AI-powered workflows

Perfect for anyone looking to become confident in using AI tools like a pro.

Each Section is well made with:

- Engaging contents and real-world analogies

- Short videos per lecture

- Hands-on demos in every module

- Assignments to apply what you've learned

- Beginner-friendly language throughout

Tools and Technologies Covered:

OpenAI, ChatGPT, Gemini, Perplexity, Claude, Google Colob, LangChain Template, Python Coding for non-coders, Python Notebook

FAQs:

What is prompt engineering, and why should I learn it?

Prompt engineering is the skill of writing effective prompts to guide AI tools like ChatGPT, Gemini, and Claude. It helps you get smarter, more accurate results from generative AI. With AI now integrated into productivity, education, marketing, and business, prompt engineering is quickly becoming a must-have skill for everyone — no coding required.

Do I need a technical or coding background to take this course?

No! This course is beginner-friendly and designed for non-coders. Whether you're a student, teacher, executive, marketer, or completely new to AI, you'll be able to follow along. We even simplify Python-based workflows using Google Colab and give step-by-step guide to make it easy for you.

What tools and AI models will I learn to use in this course?

You’ll gain practical experience using:

• OpenAI ChatGPT

• Google Gemini

• Anthropic Claude

• Perplexity AI

• You’ll also explore LangChain templates, Google Colob, Python Notebooks, ChatGPT playground, API-based prompting, all explained in simple, easy-to-follow steps.

What kind of prompts will I be able to write after this course?

By the end of the course, you’ll know how to write:

• Instructional and conversational prompts

• Direct and open-ended prompts

• Role-based and persona prompts

• Prompts for image/video generation

• Advanced formats using Chain-of-Thought, Few-Shot, ReAct, and Others.

You'll also learn how to debug weak AI responses and build prompt-driven workflows.

How is this course structured for easy learning?

This course is structured into bite-sized video lessons (< 5 mins each) with:

• Real-world demos and analogies for every concept

• Beginner-friendly language

• Assignments with solutions

• Downloadable prompt templates

• Hands-on capstone katas
  Perfect for learning at your own pace!

Can I use what I learn in this course at work or school?

Yes! This course teaches practical, real-world prompt engineering skills you can immediately use for:

• Automating tasks

• Improving productivity

• Creating content

• Conducting research

• Building AI workflows for business or education
  We even cover Ethical Responsible prompting, and more.

Is there a final project or certification?

Yes! You’ll learn a Capstone Kata Project that showcases your ability to:

• Design AI workflows

• Generate Code from prompting

• Apply different prompting techniques

• Solve real-world use cases
  Upon completion, you'll earn a certificate of completion that can be added to your LinkedIn profile or resume.

What makes this course different from other AI or ChatGPT courses?

Unlike generic ChatGPT tutorials, this course focuses deeply on:

• Prompt structuring techniques

• Real LLM comparisons (ChatGPT vs. Claude vs. Gemini, etc.)

• Debugging and fixing prompts

• Ethical and responsible AI usage

• Workflow building with auto generated code
  It’s not just about using AI—it’s about mastering how to think with it.

Is prompt engineering a real skill worth investing in?

Absolutely. According to recent trends, prompt engineering is now being recognized as one of the top emerging skills for digital professionals. It gives you a competitive edge in productivity, communication, and innovation across every industry.

Where can I find coupon code to enroll in this course ?

You can join the course right away on Udemy at a discounted price:
=> Contact email to get latest active coupon code: contact@astranextgen.com

Course Curriculum Outline:

Section 1: Introduction and Course Structure

Section 2(Module 1): Introduction to Prompt Engineering

-What is Prompt Engineering?

-Why Prompts Matter?: Clarity & AI Output

-Prompt Categories (Instructional, Conversational, etc.)

-Triangle Prompt Model Structure

-Assignment & Solution: Craft Your First Prompt

Note: Please use Q/A for posting your response with the assignment as question. Thanks

Section 3(Module 2): Foundations of Effective Prompts

-Context Setting for AI

-Simplified AI's Token System Explained

-Prompt Length: Short vs. Long vs. Balanced

-Assignment & Solution: Rewrite Weak Prompts

Section 4(Module 3): Structuring Prompts for Different Outputs

-Direct vs. Open-Ended Prompts

-What is Role-Playing & Personas?

-Creativity, Tone, and Format Control

-Image and Video Generation

-Assignment & Solution: Create Structured Prompts

Section 5(Module 4): Optimizing for Specific AI Models

-Top LLM Landspace: ChatGPT, Claude, Gemini, PaLM, LLaMA, Perplexity AI

-How to Adapt Prompts Across Different LLMs?

-Basics and Required Elements of Python Coding Simplified

-API Based Prompting via Python for Workflow Automation Or Faster Productivity

-Assignment & Solution: Compare Prompt Results Across LLM Platforms

Section 6(Module 5): Advanced Prompting Techniques with Demo

-Zero-Shot and Few-Shot Prompting

-Chain-of-Thought (CoT) Prompting

-ReAct Prompting

-Prompt Chaining and Other Techniques

-Assignment & Solution: Create Prompts Using Different Techniques

Section 7(Module 6): Debugging & Improving AI Responses

-Common AI Output Problems

-Matching Prompt Technique to Problem

-Prompting Template

-Prompt Triage Map & Framework

-Assignment & Solution: Debug a Weak Prompt with Fixes

(Extra)Section 8(Module 7): Ethical and Responsible AI

-AI Bias, Fairness & Misinformation

-Privacy & Security in Prompts

-Responsible AI Industry Standards

-Domain Specific Prompt Focus for Different Professions

-Assignment & Solution: Identify and Fix an Ethical Issue in an AI Output

Section 9(Module 8): Capstone Katas

-Design an AI Workflow using Prompt Engineering

-Showcase Kata or Use Case (Business, Learning, Creativity, etc.)

-Submit Final Three Prompt Set + Output + Explanation and Go Over Solutions

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