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CedarPoint

Data & AI Engineering

The data path: turn raw, messy information into pipelines, models, and AI products that learn and decide.

Step 1 · The bootcamp

Everyone starts here

Everyone enters through the Python Engineer Bootcamp: Python from zero to production. Graduate, then pick the major that takes you deeper: pipelines, analytics, or machine learning. Every stage ends in something that runs on real data.

12 weeks · Beginner-friendly · Live + recorded

Python & AI Development Bootcamp

Python basics to a deployed AI app in six weeks.

Master the language behind data, AI, and automation. You write scripts, APIs, and pipelines that actually run — on messy, real-world data, not classroom CSVs. Delivered in Arabic and English.

  • Build a deployed AI app: a RAG chatbot over your own docs, or an LLM-powered agent
  • Cover NumPy, Pandas, FastAPI, Scikit-learn, and the OpenAI and Anthropic APIs in six structured weeks
  • Pay one two-week block at a time; pause between parts if life happens
Enrollment
Cohort 1 · by application

Seats are limited — quality over volume. Tuition and payment plans are confirmed with your seat offer, before you commit to anything.

Join the waitlist
Step 2 · Your major

Graduate, then specialize

The bootcamp gives you the foundation. Your major makes you hireable for a specific, in-demand role: pick it after you know what you love.

Major 01

Data Engineering

Build the pipelines companies run on. Extract, transform, and load messy data into modern warehouses that stay reliable as they grow.

  • ETL pipelines
  • SQL & warehouses
  • Orchestration
  • Data modeling
12 weeks · After the bootcampEnroll
Major 02

Data Analytics & Visualization

Turn raw data into decisions. Build interactive dashboards and use statistical analysis to answer real business questions.

  • Exploratory analysis
  • Visualization
  • Dashboards
  • Business intelligence
8 weeks · After the bootcampEnroll
Major 03

Machine Learning & AI

Train, evaluate, and deploy models that generalize. From classical algorithms to deep learning and LLMs wired into production.

  • Predictive modeling
  • Neural networks
  • LLMs & AI
  • MLOps
14 weeks · After the bootcampEnroll
The path

From first line to hired

The same arc every cohort walks: each stage graded on shipped work, not attendance.

  1. Stage 01 · Foundations

    Python & data fluency

    Wrangle, clean, and reason about messy real-world datasets with confidence.

  2. Stage 02 · Pipelines

    Move data at scale

    SQL, warehouses, and pipelines that stay reliable as the data grows.

  3. Stage 03 · Models

    Train & evaluate ML

    From classical machine learning to neural networks that actually generalize.

  4. Stage 04 · Intelligence

    Ship AI products

    LLMs, retrieval, and models deployed into real, monitored workflows.

Ready to start Data & AI Engineering?

Tell us where you are in your journey. We'll point you to the right entry point and let you know when the next cohort starts.

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