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OverviewLevel 0Environment & FoundationsLevel 1LLM Fundamentals & APIsLevel 2Building Simple GenAI ApplicationsLevel 3RAG Systems & Intelligent AgentsLevel 4Production Systems & DeploymentLevel 5Advanced GenAI TechniquesLevel 6Choose Your Specialization Path
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Level 2 in progress

HomeRoadmapLevel 3
3

RAG Systems & Intelligent Agents

Build retrieval-augmented generation systems and multi-step autonomous agents.

⏱️
Duration
3-4 weeks
📊
Difficulty
Intermediate
✓
Checkpoints
4
⚡
Est. Hours
25h

Learning Outcomes

  • Implement RAG systems from scratch
  • Build intelligent agents that make decisions
  • Orchestrate multiple agents working together
  • Evaluate RAG and agent performance
  • Handle complex multi-step reasoning

Topics to Master

•Vector databases (Pinecone, Weaviate, Qdrant)
•Embeddings and semantic search
•Retrieval-augmented generation (RAG)
•Agent architectures and decision trees
•Tool calling and function execution
•Multi-agent orchestration
•Memory strategies for agents
•Evaluation metrics

Featured Projects

RAG-Powered Chatbot

Complete

Build a chatbot that retrieves and references documents in its responses.

IntermediateLevel 3
#rag#vector-db#retrieval

Web Research Agent

Complete

Create an autonomous agent that can search the web and synthesize information.

IntermediateLevel 3
#agent#tools#web-search

Multi-Document Analysis System

Complete

Build a system to analyze and extract patterns across multiple documents.

AdvancedLevel 3
#rag#analysis#multi-doc

AI-Powered Code Editor

In Progress

Full-stack application with AI code completion and intelligent suggestions.

AdvancedLevel 2
#app-dev#frontend#full-stack

Real-Time Collaborative AI App

In Progress

Build a collaborative app with WebSockets and AI features supporting multiple users.

AdvancedLevel 2
#app-dev#websockets#collab

Mobile AI Assistant

Starter

Create a mobile app (iOS/Android) powered by GenAI with offline capabilities.

AdvancedLevel 3
#app-dev#mobile#offline
View all 12 projects

Checkpoints & Milestones

This level includes 4 structured checkpoints with hands-on tasks, validation criteria, and portfolio pieces. Complete these to solidify your understanding.

View Checkpoints →
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Level 2: Building Simple GenAI Applications
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Level 4: Production Systems & Deployment