Course Overview

🎓 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