AIML Roadmap AIWithSurya

Confused about what to learn to become an AI/ML or GenAI Developer? This guide gives you a structured path from fundamentals to production-ready AI development.

Inside, you'll find:

• 🐍 Python & SQL fundamentals
• 🤖 Machine Learning & Deep Learning
• 🧠 Generative AI, LLMs & RAG
• 🔗 LangChain, LangGraph & AI Agents
• 🗄️ Vector Databases & Embeddings
• ⚡ FastAPI, Docker & AI deployment
• 📊 MLOps, LLMOps & Cloud AI
• 💻 AI/ML project ideas for your portfolio
• 🎯 Interview questions & preparation
• 🧩 Coding problems and technical concepts
• 🗣️ HR & behavioral interview preparation
• ⭐ Practical guidance for building job-ready skills

This isn't just a list of technologies to learn. It focuses on what to learn, what to build, and what companies can ask you in interviews. The guide also emphasizes production AI skills such as deployment, monitoring, and building complete AI applications—not just training models in notebooks.

Best suited for: Freshers, students, aspiring AI/ML Developers, GenAI Developers, and software developers transitioning into AI.