6 Weeks · Live · One Real Project

What you'll build, week by week

Every week connects directly to the project. Concepts are taught exactly when the project needs them — so they finally make sense, instead of piling up.

1

Week 1

Problem Understanding & Exploratory Data Analysis

  • Set up your project like a real engineer — Git, virtual environment, project structure
  • Load and explore the dataset together — understand every column, spot problems early
  • Learn what makes a problem regression vs classification, and why it matters
2

Week 2

Data Cleaning & Preprocessing

  • Handle missing values, outliers, and categorical features the way industry does it
  • Understand why skewed targets are a problem — and how to fix it
  • Build a clean, reproducible preprocessing pipeline
3

Week 3

Working With Text Data & Training the Model

  • Understand why raw text can't go into a model — and how to convert it to numbers
  • Use a pre-trained NLP model to represent text as vectors
  • Train, evaluate, and save your model — understand every number it gives you
4

Week 4

Building an API Around Your Model with FastAPI

  • Understand why a model in a notebook is not a product
  • Build a REST API using FastAPI with a prediction endpoint that runs the full inference pipeline
  • Test and validate your API locally with auto-generated documentation
5

Week 5

Deploying to the Cloud with Docker

  • Package your project using Docker so it runs anywhere, not just your machine
  • Deploy to Railway — get a live URL with your model running in minutes
  • Everyone visits their live URL and tests their own prediction endpoint
6

Week 6

Frontend, Portfolio & Interview Prep

  • Build a simple web frontend so anyone can use your project
  • Live interview Q&A — defend every decision you made in this project
  • Write your resume bullet, update your GitHub and LinkedIn — project is portfolio-ready

Founding Cohort · Limited Seats

Ready to build it?

Questions? akash@conceptsofai.in