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How I Study AI - Learn AI Papers & Lectures the Easy Way

Learning Paths

Structured curricula to become an AI engineering expert

Career Track

🎯All Paths🤖LLM Engineer⚙️MLOps🔬Researcher🚀Full-Stack📊Data Science

Level

All LevelsBeginnerIntermediateAdvanced
🤖LLM EngineerIntermediate
🤖

LLM Engineer Path

Master production-ready LLM application development. From transformer fundamentals to deploying RAG systems, fine-tuning, and AI agents. Based on industry best practices from OpenAI, Anthropic, and leading AI labs.

16 weeks
12 milestones
Transformer ArchitecturePrompt EngineeringRAG SystemsFine-tuning (LoRA/QLoRA)+5
⚙️MLOps EngineerIntermediate
⚙️

MLOps Engineer Path

Learn to build, deploy, and operate machine learning systems at scale. Master the complete ML lifecycle from experiment tracking to production monitoring. Based on practices from top ML teams at Google, Meta, and Netflix.

14 weeks
10 milestones
Experiment TrackingModel RegistryML PipelinesModel Serving+6
🔬ML ResearcherAdvanced
🔬

ML Researcher Path

Build deep theoretical foundations for machine learning research. Master the mathematics, methodology, and skills needed for publishing papers and advancing the field. Designed for those pursuing research roles or PhDs.

20 weeks
9 milestones
Deep Learning TheoryResearch MethodologyPaper Reading & WritingExperiment Design+3
📊Data ScientistIntermediate
📊

Data Scientist Path

Master the complete data science toolkit from statistics to machine learning to communication. Learn to extract insights from data and drive business decisions. Covers the essential 95% of what data scientists do daily.

16 weeks
11 milestones
Python for Data ScienceSQL MasteryStatistics & ProbabilityMachine Learning+4
🚀Full-Stack AIIntermediate
🚀

Full-Stack AI Engineer Path

Become a versatile AI engineer who can build end-to-end AI-powered applications. From frontend to backend to ML models - own the entire stack. Perfect for startups and product teams.

18 weeks
9 milestones
React/Next.jsPython BackendLLM IntegrationRAG Systems+4
🤖LLM EngineerAdvanced
🤖

AI Agent Developer Path

Specialize in building autonomous AI agents that can reason, plan, and execute complex tasks. Master frameworks like LangChain, LangGraph, CrewAI, and AutoGen to build sophisticated multi-agent systems.

10 weeks
9 milestones
ReAct PatternLangChainLangGraphCrewAI+5
🤖LLM EngineerBeginner
🎯

Prompt Engineer Path

Master the art and science of prompt engineering. Learn to design effective prompts for any task, build prompt libraries, and optimize LLM outputs systematically. A specialized skill increasingly in demand.

8 weeks
8 milestones
Prompt DesignFew-Shot LearningChain-of-ThoughtPrompt Templates+4