GEN AI

 Based on your background as a Java developer and your interest in transitioning into Generative AI , here's a personalized 3–6 month learning plan along with starter projects tailored to your goals: text generation, image generation, and code generation . 🗓️ Personalized 3–6 Month Generative AI Learning Plan 🎯 Goals: Master core ML/DL concepts for GenAI Gain hands-on experience with LLMs and image models Build GenAI-powered microservices (integrated with Java if needed) Deploy and showcase real-world GenAI projects 📆 Month-by-Month Plan ✅ Month 1: Foundation — Python & ML Basics 📚 Topics Python for ML (if you're not already fluent) NumPy, Pandas, Matplotlib scikit-learn basics: linear regression, decision trees, clustering Git & GitHub 🔧 Tools Jupyter Notebook / VSCode Google Colab GitHub 🛠️ Starter Project "ML-Powered Resume Analyzer" Build a tool to analyze and score resumes using keyword matching...

Transitioning from a Java Developer to a Generative AI developer? looking for a roadmap into Generative AI That's a great career move! As a Java developer, you already have solid programming fundamentals, which gives you a head start. Transitioning into Generative AI (GenAI) means moving into a space that blends machine learning , deep learning , and modern tooling (like Python, models like GPT, diffusion models, etc.). 🚀 Roadmap: Java Developer → Generative AI Developer 🔰 1. Mindset Shift & Foundation ✅ What to Learn: Math Essentials : Linear Algebra (vectors, matrices) Probability & Statistics Calculus (only basics for now) ML & DL Basics : Supervised vs. Unsupervised Learning Neural Networks Optimization (e.g., gradient descent) ✅ Resources: Coursera – Andrew Ng's Machine Learning Khan Academy (Math Crash Courses) 🐍 2. Switch to Python for AI Work Most AI frameworks are built in Python , not Java. ✅ Learn: ...