Apache NiFi Training Classes
Learn the basics of Apache NiFI data processing in the cloud
Apache NiFi in the Cloud Crash Course (AWS or GCP)
Duration
2 Days
Type
Instructor lectures and hands-on lab
Location
Remote Classroom
Overview
This course is intended for students looking to are looking to learn the basics of Apache NiFi - a visually programmed software tool that automates the movement and transformation of data between systems.
A remote instructor will walk students through the basics of Apache NiFi and how to run it in the cloud (AWS or GCP). Students will learn the basics of Apache NiFi dataflow development, common patterns (feature extraction, database connectivity, etc), debugging and best practices
Completing this course will enable students to effectively develop, tune, and debug Apache NiFi dataflows.

Apache NiFi in the Cloud Crash Course (AWS or GCP)
Duration
2 Days
Type
Instructor lectures and hands-on lab
Location
Remote Classroom
Overview
This course is intended for students looking to are looking to learn the basics of Apache NiFi - a visually programmed software tool that automates the movement and transformation of data between systems.
A remote instructor will walk students through the basics of Apache NiFi and how to run it in the cloud (AWS or GCP). Students will learn the basics of Apache NiFi dataflow development, common patterns (feature extraction, database connectivity, etc), debugging and best practices
Completing this course will enable students to effectively develop, tune, and debug Apache NiFi dataflows.

Cloud Engineering with Apache NiFi (AWS or GCP)
Duration
3 Days
Type
Instructor lectures and hands-on lab
Location
In-person or remote classroom
Overview
This course is intended for students looking to learn data processing on the cloud with Apache NiFi - a visually programmed software tool that automates the movement and transformation of data between systems.
Course will cover data engineering theory and practical development advice. Students will learn the basics of Apache NiFi dataflow development, common patterns (feature extraction, database connectivity, etc), debugging and best practices. Completing this course will enable students to effectively develop, tune, and debug Apache NiFi dataflows.
In addition to the instructor-led lectures, students will have individual access to labs and live demos. Practical hands-on lab exercises customized to students’ daily responsibilities will be included to provide directly applicable experience.
