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🎯All Topics🤖LLM Engineer⚙️MLOps Engineer🔬ML Researcher📊Data Scientist🚀Full-Stack AI

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All🧮Foundations🤖Machine Learning🧠Deep Learning💬LLM & GenAI⚙️Engineering🔬Research
🧮

Foundations

Math, statistics, and programming fundamentals

🐍

Python for ML

Master Python programming with focus on data science and machine learning applications

🤖 LLM⚙️ MLOps📊 Data+1
💬

LLM & GenAI

Large language models and generative AI

💬

Prompt Engineering

Learn techniques to effectively communicate with and extract value from LLMs

🤖 LLM🚀 Full-Stack📊 Data
📚

RAG Systems

Build Retrieval-Augmented Generation systems to ground LLMs with external knowledge

🤖 LLM🚀 Full-Stack
🤝

AI Agents & Tool Use

Build autonomous AI agents that can plan, use tools, and accomplish complex tasks

🤖 LLM🚀 Full-Stack
⚙️

Engineering

Deployment, MLOps, and production systems

⚙️

MLOps Fundamentals

Learn the practices and tools for deploying and maintaining ML systems in production

⚙️ MLOps🚀 Full-Stack
🚀

Model Deployment

Learn to deploy ML models as scalable APIs and services

⚙️ MLOps🚀 Full-Stack🤖 LLM
🗄️

Vector Databases

Learn to store and query embeddings efficiently for semantic search and RAG

🤖 LLM⚙️ MLOps🚀 Full-Stack