Generative AI & Prompt Engineering Mastery

Duration: 8 Weeks (or Self-Paced)
Level: Beginner to Advanced
Format: Video Lectures, PDF Notes, Quizzes, Hands-On Labs, Capstone Project
Tools Covered: ChatGPT, Midjourney, DALL·E, GitHub Copilot, Claude, Bard, Runway ML, Replicate, OpenAI API, HuggingFace

---

Module 1: Introduction to Generative AI

Topics Covered:

• What is Generative AI?

• History and Evolution of Generative Models

• Difference Between Discriminative and Generative Models

• Key Technologies: GPT, DALL·E, Stable Diffusion, GANs

• Applications of Generative AI (writing, image generation, music, video, code)

Learning Outcome:

Understand the core concepts and real-world importance of Generative AI.

Exercise:

• Identify 5 tools/products you use daily that leverage Generative AI

• Write a short reflection on how AI is reshaping creativity

---

Module 2: Understanding Large Language Models (LLMs)

Topics Covered:

• What is a Language Model?

• Tokenization & Embeddings

• Transformers Architecture (Attention Mechanism)

• GPT, BERT, T5 — Comparison

• Ethics and Bias in LLMs

Learning Outcome:

Comprehend how LLMs process and generate language, and understand their architecture.

Exercise:

• Visualize how attention works with sample sentences

• Explore outputs from GPT-3.5, GPT-4, Claude, and Bard using the same prompt

---

Module 3: Prompt Engineering Fundamentals

Topics Covered:

• What is a Prompt?

• Prompt Structure: Instructions, Context, Input, Output Format

• Prompting Techniques:

  • Zero-Shot, One-Shot, Few-Shot

  • Chain-of-Thought Prompting

  • Role-Playing Prompts

  • System Prompts (vs. user messages)

Learning Outcome:

Learn how to design, refine, and optimize prompts to generate accurate responses.

Exercise:

• Create a prompt that generates a poem, an email, and a summary

• Identify 3 common prompt mistakes and fix them

---

Module 4: Advanced Prompt Engineering Techniques

Topics Covered:

• Multi-Step Reasoning

• Self-Consistency & Reflection

• Prompt Compression (token efficiency)

• Tool-Use Prompts (for APIs or Function Calling)

• Persona Simulation (e.g., “Act as a lawyer”)

Learning Outcome:

Gain mastery in engineering complex and task-specific prompts for creative, technical, and analytical output.

Exercise:

• Create a prompt to generate a business plan with sections

• Build a chatbot persona using system + user prompts

---

Module 5: Image & Multimedia Generation

Topics Covered:

• Text-to-Image Generation (DALL·E, Midjourney, Stable Diffusion)

• Prompting for Visual Creativity

• Music Generation (e.g., Suno AI, Mubert)

• Video Generation (Runway ML, Pika)

• Style Control & Negative Prompts

Learning Outcome:

Use multimodal AI tools to generate creative visual, audio, and video content using prompts.

Exercise:

• Use Midjourney to create 3 styles of the same image (realistic, cartoon, abstract)

• Create a video with AI narration and animation using Runway or Pika

---

Module 6: Code Generation & Developer Tools

Topics Covered:

• Code Completion (GitHub Copilot, CodeWhisperer)

• Prompting for Debugging

• Writing Unit Tests with LLMs

• Natural Language → SQL/Regex → Code

• Using LLMs for DevOps & Documentation

Learning Outcome:

Leverage LLMs for faster coding, documentation, and error handling.

🛠 Exercise:

• Write a prompt to convert user stories into code skeletons

• Use ChatGPT to build a basic calculator app from scratch

---

Module 7: Building AI Products with APIs

Topics Covered:

• Using the OpenAI API (text, chat, image)

• Rate Limits, Tokens, Pricing

• Building AI Assistants (search, email, custom agent)

• Integrating LLMs with Web Apps (JavaScript, Python)

• Hugging Face API, Replicate API, LangChain

Learning Outcome:

Build and deploy apps that use AI models via APIs.

Exercise:

• Build a simple AI writing assistant using OpenAI API

• Create a web form that uses AI to summarize text

---

Module 8: Capstone Project & Certification

Options for Capstone Project:

• AI-powered blog writer or research assistant

• Image-based storybook creator (text + image generation)

• Resume & cover letter generator with industry-specific prompts

• Multilingual translator with tone/formality control

• AI YouTube script and thumbnail generator

Learning Outcome:

Apply all acquired skills in a practical project of your choice.

Certification:

Earn a “Certified Prompt Engineer & Generative AI Developer” certificate.

---

BONUS RESOURCES

• Downloadable Prompt Cheatsheets (for writing, coding, marketing, etc.)

• 50+ Prebuilt Prompt Templates

• Weekly Challenges & Prompt Competitions

• Private Community Access (Discord/Forum)

• AI Tool Directory (free vs. premium tools)

---

Teaching Methodologies:

• Real-life Case Studies (e.g., how Coca-Cola uses DALL·E)

• Live Demonstrations

• Prompt Iteration Walkthroughs

• Q&A + Troubleshooting

• Downloadable Examples and Scripts

---

Deliverables:

• 40+ Video Lessons

• 8 Modules (PDFs + Quizzes)

• 20+ Prompting Exercises

• 8 Full Assignments

• 1 Capstone Project

• Certificate of Completion