अभ्यास • Week 26

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Weekly Production Deliverable

Target Output

Deliverable: Graph Hard Problems + Shortest Path Algorithms done. Capstone has a working API, Docker container, and front end.

Weeks: W26 Active W27 W28 W29 W30

Monday

0 / 2 done

DSA Alien Dictionary; Shortest path in DAG

1.5h

AI/ML Model Deployment 1: FastAPI / Flask

Krish Naik: Wrap your capstone pipeline with FastAPI, asynchronous request handling, Pydantic schemas, Swagger UI documentation, error handlers, and CORS configuration

2.5h

Tuesday

0 / 2 done

DSA Shortest path in undirected graph with unit weights; Word ladder I

1.5h

CORE LLD Interview Problems 1

How to approach an LLD Interview; Requirements gathering, Use-case analysis, Class design, Design & Code: Parking Lot System in Java (Multi-floor, vehicle types, ticketing, billing)

2.5h

Wednesday

0 / 2 done

DSA Word ladder II; Dijkstra's algorithm

1.5h

AI/ML Model Deployment 2: Docker Containerization

freeCodeCamp Docker crash course: Dockerfile for Python ML apps, multi-stage builds, container networking, environment variables, running containerized capstone locally

2.5h

Thursday

0 / 2 done

DSA Print Shortest Path; Shortest Distance in a Binary Maze

1.5h

CORE LLD Interview Problems 2

Design & Code: Logging Framework in Java (multiple log levels: INFO/DEBUG/ERROR, custom sinks: console/file, thread-safe asynchronous logging)

2.5h

Friday

0 / 2 done

DSA Path with minimum effort; Cheapest flight within K stops

1.5h

AI/ML Deployment Pipeline & Docker Compose

Docker Compose for multi-container orchestration (FastAPI + Vector DB + Frontend UI); push Dockerized capstone to GitHub with clean deployment commands

2.5h

⚡ Weekend High-Load Execution • 8.0h Daily Deep Focus Lab

Saturday

0 / 3 done

DSA Minimum multiplications to reach end; Number of ways to arrive at destination

1.5h

AI/ML AI+Java Capstone: Domain & Architecture Design (4.0h)

Define capstone domain (e.g. Enterprise Technical Documentation & Code Intelligence Engine); design layered Java backend and Python AI pipeline.

4.0h

APT Quant Mocks 1–6

Timed placement test simulation (6 full Quant mocks)

2.5h

Sunday

0 / 3 done

DSA Bellman ford algorithm; Floyd warshall algorithm; Find the city with smallest number of neighbors + Contest

1.5h

AI/ML Capstone Data Ingestion & Chunking Pipeline (4.0h)

Ingest raw technical PDFs / Markdown; benchmark semantic chunking vs recursive character chunking; generate vector embeddings.

4.0h

APT Quant Mocks 7–12

Timed simulation (6 full Quant mocks) + review incorrect questions and retake weakest areas

2.5h

edit_note

Week 26 Technical Notes & Journal

#LeetCode #Java #DSA #Week26