🎓 Course Title: Prompt Engineering Mastery — Talk to AI Like a Pro

🧠 Level: Beginner to Advanced | 🕒 Duration: 3 Months

🎯 Goal: Become a Prompt Expert for AI tools (Text, Image, Music, Video, Multimodal)

🔹 Month 1: Foundations of Prompt Engineering

📘 Week 1: Understanding AI Models

• What is Prompt Engineering?

• LLMs vs Diffusion Models vs Audio Models

• Anatomy of a Prompt (role, context, instructions, constraints)

• Types of prompting: Zero-shot, One-shot, Few-shot

📘 Week 2: Prompting Text Models (LLMs)

• GPT-4, Claude, Mistral

• Improving completions with:

• Chain-of-thought (CoT)

• Step-by-step reasoning

• Role prompting & personas

• Prompting for: Summarization, Chat, Writing, Coding, Q&A

🧪 Exercise: Create a prompt to generate a children's story, a Python function, and a simulated interview.

📘 Week 3: Prompt Templates & APIs

• Prompt variables & templates

• LangChain prompt chains

• Using OpenAI Playground & APIs

• Temperature, max_tokens, system vs user prompts

🧪 Exercise: Design an app that takes 3 inputs and crafts a dynamic prompt to GPT-4.

🔹 Month 2: Prompting Across Modalities (Image, Audio, Video)

🎨 Week 4: Image Prompting (Text-to-Image)

• Models: DALL·E 3, Midjourney, Stable Diffusion, Leonardo AI

• Descriptive prompting: composition, style, lighting, mood

• Advanced prompting: aspect ratio, reference images, negative prompts

• Prompt syntax comparison (Midjourney vs SDXL)

🧪 Project: Prompt 5 fashion looks in watercolor style using DALL·E or Midjourney.

🔊 Week 5: Audio & Music Prompting

• Models: Suno.ai, MusicGen, Riffusion

• Prompting for genre, tempo, instruments, mood

• Prompt limitations (song duration, fidelity)

• Voice Cloning & Synthesis: ElevenLabs, Bark

🧪 Project: Create a full 60-second AI song with Suno using a custom prompt.

🎥 Week 6: Prompting Video Models

• Models: Pika Labs, Runway Gen-2, Sora (if available)

• Scene prompting: camera angles, transitions, duration

• Character, mood, and motion-based prompts

• Prompt iteration and enhancement techniques

🧪 Project: Create a 5-second AI short film using layered prompts in Pika or Runway.

🔹 Month 3: Advanced Techniques + Real Projects

💡 Week 7: Multimodal & Cross-AI Prompting

• Combine GPT + DALL·E + Suno in a flow

• Use AI agents (LangChain, GPT Agents) to generate prompts dynamically

• RAG: Use documents/images to enhance prompts

• DreamBooth & LoRA with personalized prompts

🧪 Project: Build a "Prompt Agent" — give it a theme, and it generates text + image + music + voice.

📊 Week 8: Prompt Optimization & Debugging

• Prompt debugging: why is the output wrong?

• Prompt testing and scoring (e.g., use GPT-4 to review its own outputs)

• Evaluate creativity, factuality, bias

• A/B testing prompts

🧪 Exercise: Write 3 prompts for an AI scriptwriter and measure coherence, originality, and emotion.

🚀 Week 9: Freelance & Real-World Applications

• Prompt marketplaces (PromptBase, FlowGPT)

• Case studies: marketing, e-learning, design

• Freelancing & consulting as a prompt engineer

• Documenting and sharing prompt portfolios

🧪 Capstone: Create a portfolio with:

• 3 text-based prompts

• 2 image prompt series

• 1 music piece

• 1 multimodal project

Include output samples and explain your approach.

📦 Tools Covered:

• Text: GPT-4, Claude, HuggingFace, OpenAI Playground

• Image: Midjourney, DALL·E 3, Stable Diffusion, Leonardo AI

• Audio: Suno, Riffusion, ElevenLabs, Bark

• Video: Runway Gen-2, Pika Labs, Genmo

• APIs/Builders: LangChain, Gradio, OpenAI SDK

🏁 Final Outcome:

• Master prompt engineering across all major GenAI models

• Build AI content pipelines: text → image → voice → video

• Create your own GenAI tools or freelance as a prompt engineer