Project-Based
Learn by building real, end-to-end data platforms you can put on your resume, not by watching endless theory.
On-Demand Access
Learn at your own pace with 24/7 on-demand access to cutting-edge content.
Up-to-Date Content
Enjoy fresh, monthly releases and continuously updated content to stay ahead in the field.
Get Your First Project Ready In One Week
Choose from our wide selection of projects covering all relevant platforms.
Build an End-to-End Data Platform on AWS
Build a complete cloud data platform from ingestion to analytics on AWS.
Build Streaming Data Pipelines on Azure
Build a cloud-based streaming pipeline using Microsoft Azure.
Build an End-to-End Data Platform on GCP
Build a complete Data Engineering platform on Google Cloud.
Build a Cloud Data Warehouse on Snowflake
Build and configure a modern cloud data warehouse with Snowflake.
Build path 1 of 2 — continue with dbt
Transform Your Snowflake Data with dbt
Continue your Snowflake build and create reliable transformation workflows with dbt.
Build path 2 of 2 — continues Snowflake project
Build a Real-Time Streaming Platform with Kafka, Spark & MongoDB
Build a real-time architecture for ingesting, processing and storing streaming data.
Build & Deploy Containerized ML on AWS
Containerize a machine-learning application and deploy it on AWS.
Build a Modern Lakehouse: Warehouses & Data Lakes
Build and compare modern warehouse, data lake and lakehouse architectures.
Build an Open Lakehouse with Apache Iceberg
Build an open lakehouse architecture using Apache Iceberg.
Build Azure Data Pipelines with Terraform
Provision and build Azure data infrastructure using Infrastructure as Code.
Build a Dockerized ETL Pipeline with AWS, TDengine & Grafana
Build a containerized ETL pipeline for time-series ingestion, storage and visualization.
Build a Log Analytics Dashboard
Build a Python → Elasticsearch → Kibana pipeline for log analysis and visualization.
Build a Time Series Pipeline with InfluxDB & Grafana
Store, process and visualize time-series data in an end-to-end pipeline.
Build a GenAI Platform with RAG
Build a local Retrieval-Augmented Generation platform from the ground up.
Build Semantic Log Search with Embeddings
Turn logs into embeddings and build semantic search across operational data.
Build a Contact Tracing App with Elasticsearch
Build a searchable contact-tracing application using Elasticsearch.
Fun projectFundamentals
Build knowledge and skills you need to understand, design and work with modern data platforms.
Career 3 courses & 5 roadmaps
Design 6 courses
Tools & Skills 13 courses
How We Teach
Office Hours & Discord
24/7 Access to Discord: Connect with Andreas & hundreds of other students on our private Academy channels for answers to all your questions.
Live Office Hours: Benefit from direct feedback and guidance during monthly live office hours.
Engage with other students and participate in community discussions.
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All These Benefits Included:
- Comprehensive step-by-step Data Engineering Academy
- Unlimited access to all current and future courses
- New content every month
- 35+ Data Engineering courses and hands-on projects
- Associate Data Engineer Certification
- Individual course certificates
- Monthly live office hours with Andreas
- Personal support via our private Discord server
- 14-day full money-back guarantee
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Data Engineering Academy in Numbers
Coming Soon
Here's what we are currently working on and what will be in the Academy soon:
Build a Local Slack Agent That Responds Using a Self-Hosted LLM
In this hands-on project, you’ll build a fully local AI agent that listens for questions in Slack and replies in real-time using a local LLM like Mistral running via Ollama. No cloud APIs, no server, just a clean Python setup that shows how agents can hook into real chat tools.
Connect Your Slack Agent to an MCP Server That Uses RAG with a Qdrant Knowledge Base
In this project, you’ll extend your Slack agent by connecting it to an MCP (Model Context Protocol) server. The server retrieves relevant context from a Qdrant knowledge base (prebuilt from a real course transcript) and sends a fully constructed RAG prompt to a local LLM. This separation of logic introduces clean, scalable architecture patterns.
Common Questions Answered
Unlike platforms like Udemy or Coursera, we offer a holistic learning experience with personal support. You'll gain a comprehensive understanding of Data Engineering, not just individual tools. Our team provides help whenever you need it. Plus, our content is continually updated with new topics, videos, and worksheets added every month by Andreas and our expert trainers. This ensures you always have access to the latest knowledge and techniques in the field.
Moreover, it's significantly cheaper than a typical 6-week bootcamp and offers long-term support to ensure your continued success.
Our Academy is perfect if you're interested in the core infrastructure of Data Science. We've helped over 2,000 students, including Data Scientists, Data Analysts, Database Administrators, Software Developers, and graduates aspiring to become Data Engineers or looking to apply these skills in their future careers. Whether you're just starting or looking to advance your career, our comprehensive and supportive learning environment is designed to meet your needs.
The content of the Academy is entirely on-demand, allowing you to progress at your own pace. You can start whenever you want, and there are no deadlines to finish. You have as much time as you need to complete your training.
You should be able to program in Python and have basic knowledge of SQL. As a Data Engineer, coding and using SQL to interact with databases are essential skills. If you're coming from a different field, don't worry. Our basic section includes a Python introduction course and links to free external resources to help you gain the necessary knowledge.
Yes, you can earn certificates for all individual topics covered in the Academy. Additionally, we offer an Associate Data Engineer certification to demonstrate that you are job-ready.
Yes, you need to create your own accounts on cloud platforms. Most major platforms offer free credits or tiers; please check their websites for details, as conditions may change. Our training is designed to utilize these free tiers and credits, minimizing extra costs.
One exception is the AWS training, where not all services are available in the free tier. The expected charge is usually below $10/month. We show you how to set alarm thresholds at the start of the AWS training to notify you if you exceed your limits.Yes, once you join the Academy, you will receive an invoice via email. This invoice can typically be used to get reimbursed by your employer if you have a learning budget.
We are confident you will be satisfied with the Academy. However, if you are not, please contact us at hello@learndataengineering.com within 14 days of purchase to receive a full refund.
No, sorry there is no trial. We have a huge collection of over 300 videos you can watch for free on YouTube.
Here's the link: http://bit.ly/YoutubeAndreaskayy
Or read the data engineering cookbook. It's going to help you a lot learning more about Data Engineering.