Intermediate

Data Engineering for AI

Build the data foundations that make AI possible

Build robust data pipelines, ETL systems, and data warehouses optimized for AI workloads.

Enroll Now — $1,999 See Curriculum
160
Total Hours
12
Weeks
6
Modules
~13
Hrs/Week
Course Components
📘
6
Topics
🔬
2
Hands-on Labs
📋
2
Quizzes
Legend
Topic
Exercise
Lab
Quiz
Mini Project
Capstone
Activity
Reading
Forum
Career
Complete Course Structure & Table of Contents
📡
Live instructor-led delivery · classes run 3 days a week. The topics below are covered in live sessions; recorded versions will be available after class delivery.
MOD 01
Data Pipeline Fundamentals
ETL, ELT, and modern data architectures
3h 58m ▾
📘
Modern Data Architecture Topic
Data lakes, warehouses, lakehouses, and mesh
25 min
📘
Building ETL Pipelines Topic
Apache Airflow, Prefect, and pipeline orchestration
35 min
📘
Data Quality & Validation Topic
Great Expectations, data contracts, schema enforcement
28 min
🔬
ETL Pipeline Lab Lab 🧪 Data Engineering · Intermediate
Build an Airflow DAG for data processing
2 hrs
📋
Data Pipeline Fundamentals - Module Test Quiz
Test your knowledge of Data Pipeline Fundamentals
30 min
MOD 02
Big Data Processing
Spark, streaming, and distributed computing
4h 43m ▾
📘
Apache Spark for AI Topic
RDDs, DataFrames, Spark ML, and optimization
40 min
📘
Stream Processing Topic
Kafka, Spark Streaming, real-time data pipelines
35 min
📘
Feature Stores Topic
Feast, Tecton, online and offline feature serving
28 min
🔬
Spark Processing Lab Lab 🧪 Data Engineering · Advanced
Process a large dataset with PySpark and build a feature store
2h 30m
📋
Big Data Processing - Module Test Quiz
Test your knowledge of Big Data Processing
30 min
Live Instructor-Led Batches

Learn with a cohort — live Zoom sessions, Q&A, and lifetime access to recordings.

🐦
Early Bird — 5% off when you enroll 10+ days before your batch starts. Discount auto-applies at checkout. No code needed.
upcoming 🐦 Early Bird 5% off

Data Engineering for AI — June Cohort 2026

Instructor: AI Labs Instructor
  • 📅Jun 15, 2026 – Sep 6, 2026
  • 🕐Tuesdays & Thursdays, 7–9 PM CST
$1,999 $1,899.05 You save $100
upcoming 🐦 Early Bird 5% off

Data Engineering for AI — July Cohort 2026

Instructor: AI Labs Instructor
  • 📅Jul 15, 2026 – Oct 6, 2026
  • 🕐Tuesdays & Thursdays, 7–9 PM CST
$1,999 $1,899.05 You save $100
Ready to start?

$1,999

Online lectures + Cloud data labs + Pipeline projects

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Frequently asked questions about this program

What level is the Data Engineering for AI program? +
Intermediate. Total program length is 12 Weeks (160+ Hours of combined live instruction and lab time).
What prerequisites do I need? +
Python or SQL proficiency; Basic understanding of databases; Familiarity with command line
Does this course include hands-on lab work? +
Yes. This program includes hands-on lab time in 3 cloud lab environments provisioned by AI Labs. Every student gets a personal cloud workspace plus on-prem workstation access at our Houston Training Center.
Is this delivered online or in person? +
Both. The default delivery is Online lectures + Cloud data labs + Pipeline projects. In-person sessions are available at our Houston Training Center for any student who prefers on-site delivery.
What roles does this program prepare me for? +
AI Data Engineer, Data Platform Engineer, Analytics Engineer, ML Data Pipeline Engineer.
Do I receive a certificate at the end? +
Yes. Every program ends with a capstone project and a verifiable AI Labs completion certificate. Certificates are issued via our LMS and include the capstone work as a portfolio link.
How much does the program cost and are payment plans available? +
Program tuition is $1,999. Most students use our 2-installment plan (50% at enrollment, 50% midway through). Enterprise + nonprofit pricing is available — contact us for a quote.

Labs used in this course

Hands-on environments you'll spin up during the program.

Data Engineering Lab

Full-stack data engineering environment on GCP. Students build batch and streaming data pipelines, work with data lakes, and create feature …

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Jupyter Notebook Lab

Standard Python development environment for data exploration, visualization, and introductory ML. Pre-configured with Python 3.11, NumPy, Pa…

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Code Server Lab

Full-featured VS Code IDE in your browser — with integrated terminal, file tree, git, extensions, and everything needed for real software en…

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