Mastering Prompt Engineering: From Zero to Pro (2025 Edition)

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📌 Course Structure Overview:

Format: Web-based Interactive Course (with text, visuals, and exercises)

Target Audience: Beginners to Intermediate AI/LLM learners, developers, marketers, students

Duration: ~6–10 hours (Self-paced)

Sections: 8 Modules + Bonus Projects + Certification

📖 Table of Contents

Module 1: Introduction to Prompt Engineering

✅ Goal: Understand what Prompt Engineering is and why it's important.

1.1 What is Prompt Engineering?

1.2 Why Prompts Matter in AI

1.3 Evolution of LLMs (GPT, Claude, Gemini, Mistral, etc.)

1.4 Use Cases Across Industries

1.5 Understanding Inputs & Outputs of AI Models

Module 2: Foundations of Prompt Design

✅ Goal: Learn the core prompting styles and syntax.

2.1 Prompt Types: Zero-Shot, One-Shot, Few-Shot

2.2 Role Prompting: “Act as...” Examples

2.3 Chain-of-Thought & Step-by-Step Prompts

2.4 Prompting for Format: Tables, Lists, Markdown, JSON

2.5 Prompting for Tone, Style, and Audience

Module 3: Intermediate Prompt Engineering Techniques

✅ Goal: Write better prompts with more control and precision.

3.1 Instructional Prompts

3.2 Output Constraints (word limit, structure)

3.3 Controlling Randomness: Temperature, Max Tokens

3.4 Prompt Debugging: Fixing Bad Results

3.5 Context Window Management

Module 4: Prompting by Domain

✅ Goal: Apply prompts across various real-world use cases.

4.1 Prompting for Coding (Python, JS, etc.)

4.2 Prompting for Marketing (Copywriting, SEO, Email)

4.3 Prompting for Education (Lesson Plans, Quizzes)

4.4 Prompting for Business (Product Descriptions, Reports)

4.5 Prompting for Data (SQL, Data Cleaning, Analysis)

Module 5: Advanced Prompt Engineering

✅ Goal: Learn how to build tools and chains with LLMs.

5.1 Prompt Chaining & Multi-step Tasks

5.2 Function Calling in GPT

5.3 Retrieval-Augmented Generation (RAG) Basics

5.4 Prompting Autonomous Agents (AutoGPT, BabyAGI)

5.5 Fine-tuning vs. Prompt Engineering

Module 6: Tools & Platforms for Prompt Engineers

✅ Goal: Use prompt engineering in the real world with tools.

6.1 OpenAI Playground Deep Dive

6.2 LangChain for Prompt Workflows

6.3 Flowise, PromptLayer, Replit

6.4 ChatGPT Plus vs Claude vs Gemini Prompting

6.5 Building Prompt-Based APIs

Module 7: Building Prompt-Based Projects

✅ Goal: Learn by doing and showcasing your prompt skills.

7.1 Resume Generator with Prompt Templates

7.2 YouTube Script Bot

7.3 Custom Chatbot for a PDF

7.4 Email Summarizer from Inbox

7.5 JSON to Blog Generator

Module 8: Career in Prompt Engineering

✅ Goal: Get industry-ready and showcase your expertise.

8.1 Becoming a Prompt Engineer

8.2 Freelance and Job Market (Top Sites)

8.3 Pricing Your Prompting Skills

8.4 Writing Your Prompt Portfolio

8.5 Real Job Descriptions & Interviews

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