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ChatGPT Prompt Engineering: AI Masterclass From Zero to Hero

Master ChatGPT prompts easily! No coding or tech skills needed. Learn to write effective prompts for amazing AI results. Prompt engineering made simple.

4.5(6)
24students
3h 34m
Certificate
Astra NextGen Technologies
Astra NextGen TechnologiesAI Specialists and Software Architects

Course Content

ChatGPT Prompt Engineering: AI Masterclass From Zero to Hero is a beginner-level Udemy course taught by Astra NextGen Technologies. It runs 3h 34m, is taught in English, and includes a certificate of completion. Learners rate it 4.5 out of 5 from 6 reviews, with 24 students enrolled. It is a paid course, first published June 2025.

Unlock the Power of AI: Master Prompt Engineering with ChatGPT, Gemini & More!

What is Prompt Engineering?

Prompt engineering is the crucial skill of crafting effective instructions to guide powerful AI tools like ChatGPT, Gemini, and Claude AI. This beginner-friendly course empowers everyone – from executives and students to teachers, marketers, entrepreneurs, managers, software engineers, and curious minds – to harness the full potential of Generative AI. Learn to communicate with AI to achieve smarter, faster, and more accurate results, significantly boosting your productivity.

Why Learn Prompt Engineering?

AI is rapidly transforming industries, and prompt engineering is becoming an essential skill. This course equips you with the ability to leverage AI for:

  • Writing: Generate compelling content, emails, and more.
  • Learning: Enhance your understanding and research capabilities.
  • Marketing: Create engaging marketing materials and campaigns.
  • Coding: Assist with code generation and debugging (no coding experience needed!).
  • And much more!

What You'll Learn:

This comprehensive course covers everything you need to become proficient in prompt engineering, including:

  • Prompt Types: Master instructional, conversational, and role-based prompts.
  • Prompt Structuring: Learn how to organize your prompts for optimal results.
  • Creativity Control: Fine-tune the tone, style, and format of AI outputs.
  • Debugging: Identify and fix weak AI responses.
  • Advanced Techniques: Explore powerful methods like Chain-of-Thought, Few-Shot Learning, and ReAct.
  • Ethical AI: Understand and apply responsible AI practices.
  • Workflow Automation: Build your own AI-powered workflows using tools like LangChain and Python.

Tools & Technologies Covered:

  • OpenAI ChatGPT
  • Google Gemini
  • Anthropic Claude
  • Perplexity AI
  • LangChain Templates
  • Google Colab
  • Python Notebooks
  • ChatGPT Playground
  • API-Based Prompting

Course Structure:

This course is designed for easy learning with:

  • Bite-sized video lessons
  • Real-world demos and analogies
  • Hands-on exercises in every module
  • Downloadable prompt templates
  • Assignments with solutions
  • Beginner-friendly language

Is This Course Right For You?

  • No coding experience required!
  • Ideal for students, teachers, executives, marketers, and anyone curious about AI.
  • Perfect for anyone looking to gain a competitive edge in the future of work.

Course Curriculum Outline:

Section 1: Introduction and Course Structure

Section 2: Foundations of Prompt Engineering

  • What is Prompt Engineering?
  • Why Prompts Matter: Clarity & AI Output
  • Prompt Categories (Instructional, Conversational, etc.)
  • Triangle Prompt Model Structure
  • Assignment: Craft Your First Prompt

Section 3: Foundations of Effective Prompts

  • Context Setting for AI
  • Simplified AI's Token System Explained
  • Prompt Length: Short vs. Long vs. Balanced
  • Assignment: Rewrite Weak Prompts

Section 4: Structuring Prompts for Different Outputs

  • Direct vs. Open-Ended Prompts
  • Role-Playing & Personas
  • Creativity, Tone, and Format Control
  • Image and Video Generation
  • Assignment: Create Structured Prompts

Section 5: Optimizing for Specific AI Models

  • Top LLM Landscape: 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: Compare Prompt Results Across LLM Platforms

Section 6: Advanced Prompting Techniques

  • Zero-Shot and Few-Shot Prompting
  • Chain-of-Thought (CoT) Prompting
  • ReAct Prompting
  • Prompt Chaining and Other Techniques
  • Assignment: Create Prompts Using Different Techniques

Section 7: Debugging & Improving AI Responses

  • Common AI Output Problems
  • Matching Prompt Technique to Problem
  • Prompting Template
  • Prompt Triage Map & Framework
  • Assignment: Debug a Weak
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