DATA ENGINEERING · 4 WEEKS · 124 LESSONS
Advanced Data Engineering
Develop advanced data engineering skills using modern tools like RabbitMQ, Apache Airflow, and vector databases. Master the design and implementation of scalable data pipelines and workflows.
Master advanced data engineering concepts and tools through hands-on experience with industry-standard technologies. This comprehensive course covers message queues with RabbitMQ, workflow orchestration using Apache Airflow, database management with MySQL, and modern data solutions including vector and graph databases. Learn to design, implement, and optimize data pipelines while gaining practical experience with AWS services and scalable architectures.
01 — What learners say
Real feedback from real learners.
“The Rust Fundamentals course was fantastic for formalizing my base Rust knowledge. It was well-paced for both beginner and experienced developers.”
“The course was incredibly informative and well-structured. I gained practical skills that immediately applied in my work, making it a highly valuable learning experience.”
“The course on AI Fundamentals is not only engaging but also practical. Having worked with AWS before, the way it explained Azure cncepts made switching seamless and easy to grasp.”
“I can say that it's a great series of courses for those who are looking to practical MLOps knowledge.”
“This course got clear videos, exercises, and questions, and there are extra resources too. When you're done, you'll have a solid foundation to dive into topics like DevOps or ML.”
02 — Why this course
What you'll walk away with.
Master advanced data engineering concepts and tools through hands-on experience with industry-standard technologies. This comprehensive course covers message queues with RabbitMQ, workflow orchestration using Apache Airflow, database management with MySQL, and modern data solutions including vector and graph databases. Learn to design, implement, and optimize data pipelines while gaining practical experience with AWS services and scalable architectures.
Design and implement message queue systems using RabbitMQ and Celery for efficient data processing
Master workflow orchestration and pipeline management with Apache Airflow
Develop scalable database solutions using MySQL and modern vector databases
Implement graph-based data models using Amazon Neptune and related technologies
03 — Syllabus
4 weeks, 124 lessons total.
- Meet your instructor Alfredo DEZA
- Connect with your instructor
- Meet your instructor NOAH gift
- About this course
- Course structure and discussion Etiquette
- Key terms
- Key terms
- Introduction
- What is apache Airflow
- What is apache Airflow
- Installing apache Airflow from PYPI
- Exploring the Airflow user interface
- Key terms
- Picking the proper database
- What are vector databases and how they work
- Implementing Semantic search
- Quickstart Qdrant
- Qdrant RUST client
- Key terms
- Amazon Codecatalyst
- Learn AWS Cloudshell for Dynamo development
- Learn AWS Codecatalyst for Dynamo development
- Leveraging AWS Codewhisperer for Dynamo development
- Create a table with CLI
04 — For teams
Custom training for your company.
We're ready to deliver this and other courses to your team. We accommodate different requirements and are flexible with seat count.
- +Bulk pricing available
- +Customizable content
- +Ready to start on your schedule
05 — Individual access
Simple, straightforward pricing.
Full platform access — every current and future course — priced so cost isn't what decides whether you learn.
No commitment required. Cancel anytime.