26 weeks / 9 phases / 62 modules / free + Telugu resources
The Agent Engineer roadmap, rebuilt with learning links.
Same practical path: Python, LLM APIs, RAG, agents, memory, guardrails, and cloud deployment. The upgrade: every module now has a free primary resource plus a Telugu YouTube companion wherever possible.
Tracker
Plan today, mark progress, keep the streak alive.
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modules completed
Daily list
Today
2-3 hour study plan
The day plan appears below: watch the assigned part, then practice that same topic.
No tasks yet. Add suggested tasks or create your own.
Roadmap
Pick a phase, search a topic, open the resource.
Portfolio
Build these after the relevant phases.
Distributed Document Ingestion + RAG Pipeline
PDF ingestion, semantic chunking, PII redaction, embeddings, hybrid search, graph RAG, evaluation, and citation-backed answers.
Docling / Pinecone or Qdrant / Neo4j / FastAPI / LangSmith
Multi-Agent Natural Language to SQL
Planner, SQL writer, validator, executor, and explainer agents with read-only database enforcement and benchmarked accuracy.
LangGraph / PostgreSQL / FastAPI / Streamlit / LangSmith
Regulated-Domain Knowledge Base
A clinical, legal, or finance knowledge base with evidence-backed answers, guardrails, monitoring, caching, and deployment.
RAG / Graph DB / Guardrails / AWS / MLflow / Cost dashboards
How to use
Do not binge the links. Build your way through them.
1. Learn the module
Use the primary free resource for depth. Use the Telugu option when you want the concept explained in Telugu first.
2. Practice the topic
After watching the assigned part, spend focused time repeating and modifying the same examples.
3. Fold it into a capstone
At the end of a phase, combine your practice work into one portfolio-grade system with README, screenshots, traces, and eval numbers.