✅ Roadmap to Learn Prompt Engineering in 30 Days 🧠💬

📅 Week 1: Foundations
🔹 Day 1–2: What is Prompt Engineering? Basics of LLMs
🔹 Day 3–4: Learn how GPT-style models work (inputs → tokens → outputs)
🔹 Day 5–7: Prompt formats: zero-shot, one-shot, few-shot

📅 Week 2: Techniques Best Practices
🔹 Day 8–10: Role-based prompting (e.g., "Act as a…")
🔹 Day 11–12: Chain-of-thought prompting
🔹 Day 13–14: Tips to get more accurate, creative, or structured responses

📅 Week 3: Use Cases Tools
🔹 Day 15–17: Prompts for coding, summarization, QA, writing, translation
🔹 Day 18–19: Explore OpenAI Playground, ChatGPT, Claude, Gemini
🔹 Day 20–21: Tools like LangChain, Flowise, and Prompt chaining

📅 Week 4: Advanced Prompts + Projects
🔹 Day 22–24: Function calling, JSON outputs, prompt constraints
🔹 Day 25–27: Build mini-projects (e.g., chatbot, quiz generator, data extractor)
🔹 Day 28: Test and optimize prompt performance
🔹 Day 29–30: Create a prompt portfolio + start freelancing/applying skills

💬 Tap ❤️ for more!