{"id":"2032811488247951742","url":"https://x.com/Surendar__05/status/2032811488247951742","text":"Step-1: Learn Programming Fundamentals (Prefer Python)\nStep-2: Master Mathematics for AI (Linear Algebra, Probability, Statistics)\nStep-3: Understand Machine Learning Basics (Supervised, Unsupervised Learning)\nStep-4: Learn Data Handling (NumPy, Pandas, Data Cleaning)\nStep-5: Master Deep Learning Concepts (Neural Networks, CNNs, RNNs)\nStep-6: Learn AI Frameworks (TensorFlow, PyTorch, Scikit-learn)\nStep-7: Understand NLP & Computer Vision Basics\nStep-8: Learn Model Deployment (APIs, Docker, FastAPI)\nStep-9: Understand MLOps (Model Versioning, Monitoring, CI/CD for ML)\nStep-10: Learn Vector Databases & LLM Tools (LangChain, RAG, Embeddings)\nStep-11: Build Real AI Projects and Practice Constantly\nStep-12: Stay updated on AI Research and Best Practices\n\nCongratulations, you're an AI Engineer!","author":{"name":"Surendar","username":"Surendar__05","avatarUrl":"https://pbs.twimg.com/profile_images/2002651332193456128/6HixZwDU_200x200.jpg"},"createdAt":"Sat Mar 14 13:30:01 +0000 2026","engagement":{"replies":20,"retweets":88,"likes":562,"views":26822},"adhxContext":{"savedByCount":1,"publicTags":[],"previewUrl":"https://adhx.com/Surendar__05/status/2032811488247951742"}}