The Complete Hands-on Introduction to Airbyte (Udemy.com)
Get started with Airbyte and learn how to use it with Apache Airflow, Snowflake, dbt and more
Created by: Marc Lamberti
Last updated August 2024
What you will learn
- Understand what Airbyte is, its architecture, concepts, and its role in the MDS
- Install and set up Airbyte locally with Docker
- Connect Airbyte to different data sources (databases, cloud storages, etc)
- Configure Airbyte to send data to various destinations (DWs, databases)
- Develop a data pipeline from scratch with Airbyte, dbt, Soda, Airflow, Postgres, and Snowflake to run your first data syncs
- Set up monitoring and notifications with Airbyte
How it compares
Against the other 1,182 rated Udemy courses in IT & Software on CourseDuck:
- Rating4.7 out of 5higher than 86% of them
- Reviews502#581 of 1,183 by number of reviews
- Length3.8 hoursshorter than 63% of them
- Last updatedAugust 2024earlier than 63% of them
Course Description
Welcome to the Complete Hands-On Introduction to Airbyte!
Airbyte is an open-source data integration engine that helps you consolidate data in your data warehouses, lakes, and databases. It is an alternative to Stich and Fivetran and provides hundreds of connectors mainly built by the community.
Aibyte has many connectors (+300) and is extensible. You can create your connector if it doesn't exist.
In this course, you will learn everything you need to get started with Airbyte:
What is Airbyte? Where does it fit in the data stack, and why it is helpful for you.
Essential concepts such as source, destination, connections, normalization, etc.
How to create a source and a destination to synchronize data at ease.
Airbyte best practices to efficiently move data between endpoints.
How to set up and run Airbyte locally with Docker and Kubernetes
Build a data pipeline from scratch using Airflow, dbt, Postgres, Snowflake, Airbyte and Soda.
And more.
At the end of the course, you will fully understand Airbyte and be ready to use it with your data stack!
If you need any help, don't hesitate to ask in Q/A section of Udemy, I will be more than happy to help!
See you in the course!
Instructor Details
- 4.7 Rating
502 Reviews
Marc Lamberti
Hi there,
My name is Marc Lamberti, I'm 27 years old and I'm very happy to arouse your curiosity! I'm currently working as Big Data Engineer in full-time for the biggest online bank in France, dealing with more than 1 500 000 clients. For more than 3 years now, I created different ETLs in order to address the problems that a bank encounters everyday such as, a platform to monitor the information system in real time to detect anomalies and reduce the number of client's calls, a tool detecting in real time any suspicious transaction or potential fraudster, an ETL to valorize massive amount of data into Cassandra and so on.
The biggest issue when you are a Big Data Engineer is to deal with the growing number of available open source tools. You have to know how to use them, when to use them and how they connect to each other in order to build robust, secure and performing systems solving your underlying business needs.
I strongly believe that the best way to learn and understand a new skill is by taking a hands-on approach with just enough theory to explain the concepts and a big dose of practice to be ready in a production environment. That's why in each of my courses you will always find practical examples associated with theoric explanations.
Have a great learning time!
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Reviews
By Anonymized User on 1/22/2026
Good class but it miss a bit some real examples. The pipelines created are super easy and not good for prod env. Except for that its a good class and airbyte is well explaned.
By German Saciotti on 1/20/2026
I'm glad to enter in the world of airbyte, I think that its a boost on my career! thanks for sharing your knowledge. I'm enjoying the course!!
By Trung Nguyen on 1/19/2026
This is a good introduction of Airbyte course but I think it is missing Airbyte Public API. Also, it seems to me that Marc was rushing in every section even though there were not too much content as I have seen on other Udemy's courses. Marc was trying to show Google Cloud and AWS and that makes thinks more complicate. I think using local databases (MySQL, Postgres) should be enough. Anyway, I had enjoyed the course, especially the docker compose.
By Elton Rodrigues Cassemiro on 9/24/2025
Excellent course, the topics were very well covered, excellent teaching, and presented an end-to-end execution flow. Congratulations on the content.
By Uwe Ritter on 4/7/2025
The course is great as such but the pace is very fast. Some more background information on the handled topics would be great, e.g. not only telling what to do, but also why. Both Airflow and Airbyte are complex animals.
By Anonymized User on 10/13/2024
I am always impressed with the way Marc has bringing the content to the course to make everyone easily understand mainly no one will forget what they just came through in this course. Thanks for making an amazing series of vedios and your efforts towards continuous education and learning.
By Maksim Gabdeev on 7/11/2024
It was intense. A lot of new tools for me, keywords and concepts. Now I need to get more familiar with all the docker files and libraries we used from airflow. So the course opened a vast universe to investigate in future.
By Alexis Araujo on 3/31/2024
I was able to understand how we can implement Soda, dbt, and Airbyte, which I am already using, but more so in this course.
By Simarpreet Singh on 3/26/2024
What an amazing hands-on course and that too it comes with a complete end-to-end pipeline demo in the end. Although, it can be overwhelming and too complicated for some or many but hey, atleast you are getting the entire code, go and break it down using ChatGPT.
By Zaid Hani Allwansah on 3/22/2024
I like how Marc is simplifying the information, I also like how he is passionate about the tool, this has grabbed my attention and made me focus with him.
Quality Score
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Overall Score : 94 / 100








