Every module. In order. Free.

The baseline every data role requires. Complete this before branching into a specialization.

1. 01

   Python Basics

   // Variables to pandas

   12h
2. 02

   SQL Basics

   // Query like you mean it

   10h
3. 03

   Git & GitHub

   // Version everything

   6h
4. 04

   Command Line

   // Live in the terminal

   5h
5. 05

   Statistics Basics

   // Think in distributions

   10h
6. 06

   AI Literacy

   // Work with the machines

   6h

Build the infrastructure. Design robust pipelines, manage massive datasets, and ensure data quality and accessibility.

1. 01

   ETL Concepts

   // Extract, Transform, Load

   10h
2. 02

   Data Modeling

   // Dimensional modeling

   12h
3. 03

   dbt

   // Data build tool

   12h
4. 04

   Workflow Orchestration

   // Airflow / Prefect

   12h
5. 05

   Cloud Platforms

   // AWS / GCP

   14h
6. 06

   Spark — Advanced

   // Distributed compute

   16h
7. 07

   Real-time Streaming

   // Kafka

   16h
8. 08

   Vector DBs & LLM Infra

   // Data for AI systems

   12h

Turn messy data into decisions. Master exploration, visualization, dashboards, and data storytelling.

1. 01

   Exploratory Data Analysis

   // Interrogate the data

   10h
2. 02

   Data Visualization

   // Matplotlib, Seaborn

   10h
3. 03

   Dashboard Design

   // Interfaces for decisions

   10h
4. 04

   Data Storytelling

   // Insight to action

   8h
5. 05

   BI Tools

   // Looker, Power BI, Metabase

   12h
6. 06

   AI-Assisted Analysis

   // Analyst + LLM

   8h

Model, test, and explain predictions. From ML fundamentals through deployment and LLM fine-tuning.

1. 01

   ML Fundamentals

   // Supervised learning core

   14h
2. 02

   Feature Engineering

   // Signal from raw data

   10h
3. 03

   Model Building & Evaluation

   // Beyond accuracy

   12h
4. 04

   Experimentation & A/B Testing

   // Causal by design

   12h
5. 05

   Model Deployment

   // Models as services

   12h
6. 06

   Deep Learning — Advanced

   // Neural networks

   18h
7. 07

   LLM Fine-tuning & RAG

   // Adapt foundation models

   16h

Build useful AI products. LLM orchestration, RAG systems, agents, and production AI architecture.

1. 01

   LLM APIs & Orchestration

   // OpenAI, Anthropic, Gemini

   12h
2. 02

   RAG System Design

   // Retrieval done right

   14h
3. 03

   AI Agents & Tool Use

   // Systems that act

   14h
4. 04

   Multimodal Systems

   // Beyond text

   12h
5. 05

   LLMOps & Evaluation

   // Measure or guess

   12h
6. 06

   AI Product Design

   // Architecture end-to-end

   14h

Ship and run models in production. Containers, CI/CD for ML, monitoring, and platform design.

1. 01

   Docker & Containerization

   // Reproducible everything

   10h
2. 02

   CI/CD for ML

   // Automate the path to prod

   12h
3. 03

   Monitoring & Drift

   // Know when models rot

   12h
4. 04

   Production ML Systems

   // Serving at scale

   14h
5. 05

   ML Platform Design

   // End-to-end ownership

   16h