For All Levels
Our beginner-friendly courses range from foundational lessons to comprehensive, real-world projects.
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Up-to-Date Content
Enjoy fresh, monthly releases and continuously updated content to stay ahead in the field.
Everything you need in one place
1. Data Engineering Basics
Start your Data Engineering journey with essential concepts and practical skills. Learn Data Engineering basics, computer science, Python, data preparation, Docker, and job application strategies.
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- 1.1Introduction to Data Engineering
- 1.2Computer Science Fundamentals
- 1.3Introduction to Python
- 1.4Python for Data Engineers
- 1.5Data Preparation & Cleaning for Machine Learning
- 1.6Docker Fundamentals
- 1.7Successful Job Application Guide
- 1.8SQL for Data Engineering
- 1.9Becoming a better Data Engineer
- 1.10The Hidden Foundation of GenAI
2. Platform & Pipeline Design Fundamentals
Develop hands-on skills with essential Data Engineering tools, covering the entire workflow from data ingestion and message queues to orchestration, processing frameworks, and visualization techniques.
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3. Fundamental Tools
Gain hands-on experience with the core tools of modern data engineering. From ingestion and message queues to orchestration and processing frameworks, you’ll understand how real-world data systems work together.
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- 3.1API Fundamentals with FastAPI
- 3.2Apache Airflow Workflow Orchestration
- 3.3Apache Spark Fundamentals
- 3.4Data Engineering on Databricks
- 3.5Apache Kafka Fundamentals
- 3.6MongoDB Document Store Fundamentals
- 3.7Log Analysis With Elasticsearch
- 3.8Snowflake for Data Engineers
- 3.9dbt for Data Engineers
- 3.10Apache Iceberg Fundamentals
- 3.11DuckDB for Data Engineers
- 3.12Spark Declarative Pipelines on Databricks (Coming Soon)
4. Example Projects
Apply your knowledge through hands-on projects on major cloud platforms and your own computer. Gain practical experience with real-world scenarios and industry-relevant tools.
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- 4.1Streaming with Kafka, Spark & MongoDB
- 4.2Data Engineering on AWS
- 4.3Data Engineering on Azure
- 4.4Data Engineering on GCP
- 4.5Modern Data Warehouses & Data Lakes
- 4.6Machine Learning & Containerization on AWS
- 4.7Storing & Visualizing Time Series Data
- 4.8Contact tracing with Elasticsearch
- 4.9Data Engineering on Hadoop
- 4.10Dockerized ETL With AWS, TDengine & Grafana
- 4.11Azure Data Pipelines with Terraform
- 4.12Semantic Log Indexing & Search
- 4.13GenAI Platform with RAG
- 4.14Building Advanced Pipelines with Kestra on GCP (NEW!!)
5. Spotlight: AI Engineering Track
Learn how modern AI systems work, from embeddings and semantic search to local RAG agents running 100% on your machine. Build real tools and understand every component along the way. AI for Data Engineers who ship.
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Everything You Need:
Explore all 30+ courses and projects the Academy has to offer and see in detail how each one can help you grow
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
- Roadmaps for Beginners, Analysts, Scientists and Developers
- Unlimited access to all current and future courses
- New content every month
- 30+ Data Engineering courses and hands-on projects
- Apache Spark & Kafka Bootcamp
- Associate Data Engineer Certification
- Individual course certificates
- Regular live office hours
- Personal support via our private Discord server
- 14-day full money-back guarantee
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What our students say
Data Engineering Academy in Numbers
Coming Soon
Here's what we are currently working on and what will be in the Academy soon:
Free Lab: Spark Declarative Pipelines & Lakeflow Designer on Databricks
In this course, you’ll learn how to build declarative Spark pipelines on Databricks using Delta Lake, Unity Catalog, and Lakeflow Designer. You’ll implement a full medallion architecture (Bronze, Silver, Gold), orchestrate and schedule pipelines, and extend them with streaming use cases. By the end, you’ll know how to design and run production-style batch and streaming pipelines in Databricks.
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.