Welcome back

From Python and engineering foundations to deployed, monitored, agentic AI systems. Duration twenty four weeks across six months. Target outcome: build and ship production grade RAG, agents, fine tuned models, and full stack AI products.

A thirty day, seventy five problem core plus a basics ladder and an advanced ladder, sequenced for AI and software engineering interviews. Seventy five problems, twenty easy and fifty five medium, with four review days. Target outcome: recognize patterns instantly and solve medium problems under time pressure in C++ or Python.

From scalability basics to senior level distributed systems and a problem catalog, with low level design added. Duration twelve to sixteen weeks. Target outcome: design any common system in forty five minutes with confident trade off reasoning.

From Linux and SQL to production data lakes on the cloud, with a FinTech focus. Duration thirty six weeks across four levels. Target outcome: build and operate batch and streaming pipelines, lakehouses, and regulatory grade data systems.

From servers and Linux to fully automated cloud delivery and observability. Duration twelve to sixteen weeks. Target outcome: ship and operate production services with infrastructure as code, CI and CD, containers, orchestration, and monitoring.

Take machine learning from a notebook to a reliable, monitored, automated production system. Duration twelve weeks. Target outcome: train, version, deploy, serve, monitor, and retrain models with reproducible pipelines.

From data wrangling and statistics to machine learning, analytics, and clear communication of insight. Duration sixteen weeks. Target outcome: take a raw dataset to a validated model or a decision ready analysis with a dashboard.

Build reliable, secure, scalable server side systems and APIs. Duration sixteen weeks. Target outcome: design and ship production grade APIs with databases, auth, caching, queues, testing, and deployment.

Build fast, accessible, polished web interfaces with modern React and the wider web platform. Duration sixteen weeks. Target outcome: ship production grade, accessible, performant web apps with React, Next.js, and a strong design sense.

Quantitative, logical, and verbal reasoning for placement aptitude rounds and online assessments. Duration eight weeks. Target outcome: solve aptitude and reasoning questions quickly and accurately under time pressure.

Thirty plus real world, AI heavy project ideas across every track. Each idea has a problem statement, a suggested stack, milestones, a difficulty, and the skills it proves. Build a few of these to turn a resume into a portfolio.