In one week, my biggest project yet goes live - again

Back in May, I taught a live cohort course on Data Engineering. It was my biggest project yet. And it was a huge success:

• 34 students took the course
• At least two of my students secured Data Engineering internships just a few weeks after taking the course (and told me they talked about the course project in detail in their interviews!)
• My students rated the course 4.9 out of 5 stars, one of the top ratings on Maven.com for Engineering courses

Starting next week, I’m running another live cohort of that course: Build Your First Serverless Data Engineering Project. I’ve spent the last few months making the course even better. 25 students are signed up for the class! We start on August 19th.

And it's not too late to snag one of the final spots.

You'll learn:

1. An understanding of the major principles of Data Engineering

2. Practical knowledge of how to configure AWS services and connect them

3. A working data pipeline project you can put on your resume

In addition to these major themes, the course will also cover:

- Serverless data ingestion that's automated and scalable

- How to orchestrate data engineering ETL workflows

- Transforming data with SQL and Python

- Connecting data to visualization tools

- Scheduling data pipelines

- Data quality checks

Plus, you'll get hands on experience with technologies like AWS Lambda, Kinesis, Glue, S3, and Athena. Check out the picture below for an architecture diagram of what you'll build!

Bonus:

There will be a unit entirely devoted to how to showcase your project on GitHub, on your resume, and in job interviews. I'm also including a unit teaching all the best SQL techniques I use on the job as a Data Engineer.

Interested? Click the button below to see the course syllabus:

See the syllabus

Got questions? Drop a comment below or reply to this email! ??