Feature Engineering vs Prompt Engineering | ML vs LLM Explained

Feature engineering built traditional ML models — prompt engineering powers modern LLMs. In this video, I explain Feature Engineering vs Prompt Engineering clearly, with examples and real-world use cases. You’ll learn: ✔️ What feature engineering is and why it mattered ✔️ What prompt engineering is and why it matters now ✔️ Key differences in workflow, skills & mindset ✔️ Examples: ML features vs LLM prompts ✔️ When feature engineering is still required ✔️ How ML engineers can transition to GenAI Perfect for ML engineers, data scientists, AI engineers, and anyone moving from classical ML to LLM-based systems. 🔗 Connect With Me & Resources: 💬 Discord Community: https://discord.gg/rWdVCmjAHp 📸 Instagram: https://www.instagram.com/pavithravbhuvan/ 💼 LinkedIn: https://www.linkedin.com/in/pavithra-vijayan-6a68379a/ 🎯 Topmate: https://topmate.io/pavithra_vijayan 🌐 Website: https://pavithravbhuvan.com/ 📁 GitHub: https://github.com/pavithra20august/pavithraspodcast-files