*Master AI in 2025 – A Quick Roadmap* 🚀 AI can be overwhelming, but following a structured path makes it easier. Here’s the roadmap: *1. Build Strong Foundations* Learn Python, data structures, linear algebra, statistics & version control before diving into AI. *2. Work with Data* Clean, preprocess & visualize datasets using Pandas, Seaborn, and Matplotlib for hands-on experience. *3. Master Machine Learning* Understand supervised & unsupervised learning, regression, decision trees & implement models with Scikit-Learn. *4. Explore Deep Learning* Learn neural networks, CNNs, RNNs, and Transformers using TensorFlow & PyTorch for AI applications. *5. Choose an AI Specialization* Focus on NLP, computer vision, reinforcement learning, or AI in business and healthcare. *6. Learn Large Language Models (LLMs)* Work with GPT, LLaMA, fine-tuning, Retrieval-Augmented Generation (RAG), and AI APIs. *7. Master AI Deployment & MLOps* Deploy models using Flask, FastAPI, Docker, Kubernetes, and automate pipelines. Join: https://t.me/Artificial_intelligence_in