Learn Data Engineering

What Learn Data Engineering does

Learn Data Engineering is an online data engineering education platform founded in 2019 by Andreas Kretz and operated as a sole proprietorship based in Birkenfeld, Germany. The company sells the 'Learn Data Engineering Academy', a 30+ course bundle covering the full data engineering stack — including Apache Spark, Kafka, Airflow, dbt, Snowflake, and the three major clouds (AWS, Azure, GCP) — with hands-on projects, an Associate Data Engineer Certification, live office hours, and access to a private Discord community with hundreds of active members. A newer AI Engineering Track extends the curriculum into GenAI topics such as embeddings, vector search, semantic search, local RAG pipelines, and self-hosted AI agents.

The platform is built on third-party SaaS infrastructure: Teachable hosts the course catalog and checkout (supporting PayPal, Stripe, and other payment methods), ConvertKit powers the email newsletter funnel, Calendly handles scheduling, and Discord hosts the community. Course content is partly proprietary and partly co-developed with technology partners including Databricks, Kestra, MotherDuck, Exasol, IBM, Databand, Astronomer, Lenses, Arato, and Zapier, which sponsor free labs and tutorials. The company also distributes a free 80+ page Data Engineering Cookbook (hosted on GitHub), a 20-page Skills & Tools Guide, and maintains a YouTube channel (@andreaskayy) with 350+ videos and 230,000+ subscribers as the primary top-of-funnel acquisition channel.

The business model is a freemium-to-paid self-serve motion. Free content (YouTube videos, cookbook, skills guide, partner-sponsored labs) drives awareness and email capture; learners convert to a $264 Academy bundle that includes all current and future courses, the Discord community, certification, and live office hours, with both lifetime and recurring annual options. Customer segments are primarily individual learners — aspiring data engineers, software developers transitioning into data, data scientists/analysts, and AI/ML practitioners — distributed globally with no enterprise sales motion. The company reports more than 2,000 students have achieved their career goals through the program, with alumni employed at companies including Bloomberg, Amazon, and Disney.

Name

Learn Data Engineering

Legal name

Andreas Kretz

Website

https://learndataengineering.com

Company type

Private

Founded year

2019

Operating status

Operating

Headcount range

1–10 employees

Short description

Learn Data Engineering is an online academy founded by Andreas Kretz that sells a $264 subscription bundle of 30+ data engineering courses plus a newer AI Engineering track. It serves individual learners globally via Teachable, with lead generation driven by a 230,000-subscriber YouTube channel and partner-sponsored free labs.

Ownership category

akta.pro rank

Product category

Online Professional Education and Training

NAICS

Computer Training (611420), Professional and Management Development Training (611430)

SIC

Services-Educational Services (8200)

akta.pro primary industry

Data Science & Analytics Learning Platforms (EDAFANAG)

akta.pro secondary industries

AI/ML Learning Platforms for Students (EDAFANAE), Digital Learning Content Development (eLearning, Labs, Simulations) (BPAEANAD), Data Science & Analytics (Data Literacy, SQL, Visualization) (EDAMACAF)

Keywords

• Data engineering training
• Online learning platform
• Data engineering courses
• AI engineering education
• Professional certification programs

Headquarters

HQ city

Birkenfeld

HQ country

Germany

HQ region

Europe

Offices1 record

Markets served

GTM type

B2C

Offering type

Services

Cost components

Personnel, Technology or R&D, Marketing or Sales, Operations

Revenue model

1. Academy Subscription/Bundle: The Data Engineering Academy is a comprehensive 49-course bundle offering access to all current and future content including Discord community and Associate Data Engineer Certification. Sold as a subscription bundle for $264 with lifetime or recurring access options.
2. Individual Course Purchases: Individual courses available for one-time purchase through the Teachable platform. Courses cover specific topics like Apache Spark Fundamentals, Kafka, Airflow, Snowflake, Docker, Python, data modeling, and more.
3. Free Content & Labs: Free labs and content including YouTube videos (350+ videos), free cookbook (80+ pages), skills & tools guide, and partner-sponsored free labs from Databricks, Kestra, MotherDuck, and Exasol. Serves as top-of-funnel for paid conversions.

Pricing tiers

Go-to-market motion2 records

Distribution channels2 records

Marketing channels6 records

Core offering

Learn Data Engineering operates an online data engineering education platform that sells a comprehensive 49-course Academy bundle plus individual courses covering the full data engineering stack including AWS, Azure, GCP, Spark, Kafka, Airflow, dbt, and Snowflake. The platform is hosted on Teachable and includes hands-on projects, an Associate Data Engineer Certification, live office hours with the founder, and a private Discord community. The company also offers a complementary AI Engineering track covering embeddings, vector search, semantic search, local RAG pipelines, and self-hosted AI agents.

Differentiator

Problem solved

Functional benefit

Products and services

• Data Engineering Academy A 49-course subscription bundle that gives learners access to all current and future content of the Learn Data Engineering Academy, including hands-on projects on AWS, Azure, GCP, and local machines, the Associate Data Engineer Certification, live office hours with founder Andreas Kretz, and access to the private Discord community. It is intended for aspiring data engineers, software developers, data scientists, and analytics practitioners seeking to learn or transition into data engineering.
• AI Engineering Track An AI Engineering curriculum included as a track within the Data Engineering Academy that covers embeddings, vector search, semantic search, local Retrieval-Augmented Generation pipelines, and self-hosted AI agents. Course tools include Python, FastAPI, Qdrant, Elasticsearch, Streamlit, Ollama, Slack, and n8n, and it targets data engineers and developers ready to expand into AI Engineering as well as beginners seeking a solid AI Engineering foundation.
• Individual Data Engineering Course Purchases Individual data engineering courses sold for one-time purchase through the Teachable platform, covering specific topics such as Apache Spark Fundamentals, Kafka, Airflow, Snowflake, Docker, Python, data modeling, and other individual tools and techniques. These are targeted at learners who want a single course rather than the full Academy bundle.

Quantifiable outcome

• Over 2,000 students achieved their career goals through the training program
• +2 more outcomes

Named customers1 record

Segments4 records

Ideal customer profiles4 records

Technology focussed No

API detail

Has API

No

API docs

API detail

Core technology

AI maturity

App detail

AI capability6 records

Feature4 records

Partnerships

Ten partnerships are on record, tiered core and secondary.

• DatabrickscoreTechnology or IntegrationDatabricks provides co-branded hands-on lab content for Learn Data Engineering platform. The partnership includes Spark Declarative Pipelines and Lakeflow Designer course content. Learn Data Engineering helps educate engineers on Databricks platform through practical tutorials.
• KestracoreTechnology or IntegrationKestra partnership provides Building Advanced Pipelines with Kestra on GCP lab content. Kestra is an open-source company focused on simplifying complex data orchestration with a developer-friendly, declarative approach.
• MotherDuckcoreTechnology or IntegrationMotherDuck partnership offers DuckDB for Data Engineers course covering workflows from local to cloud using DuckDB and MotherDuck. MotherDuck builds tools around DuckDB for fast, collaborative analytics.
• ExasolcoreTechnology or IntegrationExasol partnership provides High-Performance Data Analysis lab content. Exasol is a low-latency, high-performance analytics platform designed for complex analytical workloads.
• IBMsecondaryTechnology or IntegrationIBM partnership provides enterprise data and AI solutions content. IBM is a global leader in technology and consulting supporting teams in building secure and scalable solutions.
• Databand (IBM)secondaryTechnology or IntegrationDataband partnership provides data observability content. Part of IBM, Databand helps organizations improve data reliability through proactive data observability solutions.
• AstronomersecondaryTechnology or IntegrationAstronomer partnership provides Apache Airflow content. Astronomer is the company behind Apache Airflow, supporting teams worldwide in orchestrating and managing data workflows at scale.
• LensessecondaryTechnology or IntegrationLenses partnership provides stream processing content. Lenses is a data-streaming company helping teams operate, observe, and govern real-time data systems built on Apache Kafka.
• AratosecondaryTechnology or IntegrationArato partnership provides Building LLM Apps content. Arato enables businesses to create and deploy production-ready AI applications with transparency and control, focusing on turning language model experiments into reliable applications.
• ZapiersecondaryTechnology or IntegrationZapier partnership provides workflow automation content. Zapier connects over 9,000 apps to help businesses move data and automate processes across their entire tech stack.

Scale indicators5 records

Recent moves5 records

Expansion highlights4 records

Emerging players

• Maven: Maven is a cohort-based course platform hosting data engineering and AI courses taught by working practitioners. It competes for the same expert-instructor cohort learner, often with live cohorts and community elements similar to Learn Data Engineering's Discord + office hours model.
• Analytics Vidhya: Analytics Vidhya is an online learning community and course provider focused on data science, machine learning, and AI. It targets a similar career-transitioning learner persona in data/AI with bundled courses, certifications, and community—overlapping with Learn Data Engineering's D2C learner base.
• KDNuggets: KDNuggets is a long-running educational portal and community for data science, machine learning, and data engineering topics with tutorials, courses, and events. It overlaps with Learn Data Engineering's blog/newsletter-driven learning audience.
• Seattle Data Guy (YouTube/channel): Seattle Data Guy (Ben Rogojan) runs a data engineering-focused YouTube channel, newsletter, and community that competes with Learn Data Engineering's free content funnel and adjacent paid offerings.

Broad incumbents

• Coursera: Coursera is a massive online learning marketplace partnering with universities and tech companies to deliver data and engineering courses and certificates. While much broader in scope, it competes directly for the same career-transitioner and certification-seeking buyer that Learn Data Engineering targets.
• Pluralsight: Pluralsight is a B2B-focused technology skills platform offering courses and skill assessments across cloud, data, and software engineering. It competes for the same corporate upskilling budget that Learn Data Engineering's certification and team training ambitions target.
• Udemy: Udemy is a global marketplace for individual courses including extensive data engineering content (Spark, Kafka, Airflow). It overlaps with Learn Data Engineering's individual course and bundle offerings, often at lower price points but with less curated curriculum and no community.
• A Cloud Guru / Pluralsight Cloud: A Cloud Guru (now part of Pluralsight) provides cloud and data engineering certification training on AWS, Azure, and GCP. It overlaps with Learn Data Engineering's hands-on cloud projects track, particularly for engineers pursuing cloud data certifications.

Others

• dbt Labs Learn: dbt Labs offers free official dbt training and certifications, which overlaps with Learn Data Engineering's dbt curriculum and acts as both a content partner and adjacent competitor for the dbt-focused learner segment.

Direct peers

• DataCamp: DataCamp is a subscription-based online learning platform focused on data science, analytics, and engineering skills with hands-on coding exercises. It directly competes with Learn Data Engineering for the same aspiring-data-engineer persona, and both monetize via subscription bundles and individual course access.

Market position

Strengths5 records

Weaknesses5 records

Competitive moat4 records

Key risks5 records

Key highlights6 records

Customer concentration

• GitHubgithub.com/andkret/Cookbook
• YouTubeyoutube.com/@andreaskayy
• Facebookfacebook.com/profile.php
• LinkedInlinkedin.com/company/learn-data-engineering

Revenue estimate

Valuation estimate

Number of profiles

Profiles1 record

Funding overview

Funding rounds

Investors

Funding detail is available on the Subscription and Enterprise plan.Contact sales →

M&A

Investments

M&A and investment is available on the Subscription and Enterprise plan.Contact sales →

Frequently asked questions about Learn Data Engineering