ILT - DOPS-243: NiFi 2.0: Data Flow Migration and AI Integration - 4929480

Rating

Course length
0 mins

Instructor
Gáti Dóra

Price
$880.00 USD

Upcoming Sessions

Description

Overview

Apache NiFi 2.0 is revolutionizing data flow automation. This course provides in-depth knowledge of NiFi 2.0's enhanced capabilities, empowering you to build intelligent, efficient, and governed data pipelines for today's most demanding data challenges. You'll explore AI integration, advanced flow management features, and streamlined Python scripting, enabling you to create data solutions that are not only powerful but also adaptable and maintainable. Learn to build more intelligent and efficient NiFi workflows leveraging the new GenAI and Python processors along with the flow governance tools.

 

What you'll learn

During this course, you learn how to: 

  • Integrate Generative AI with Apache NiFi 2.0, including practical use cases. 
  • Understand the key changes in NiFi 2.0 compared to NiFi 1.x, such as deprecated processors and their new replacements. 
  • Clarify the differences between open-source NiFi 2.0 and Cloudera CFM4 with NiFi 2.0, with a focus on Cloudera-specific processors for GenAI. 
  • Perform a migration from NiFi 1.x to NiFi 2.0 and effectively monitor your new NiFi 2.0 instance. 

Who Should Take This Course?

This course is designed for developers, data engineers, administrators, and others with an interest in learning NiFi's innovative no-code, graphical approach to data ingest. Although programming experience is not required, basic experience with Linux is presumed, and previous exposure to big data concepts and applications is helpful.

Prerequisites

Participants should have a foundational understanding of data flow concepts and experience with Apache NiFi. Familiarity with Python programming is beneficial but not mandatory.

 

DATE: May 4, 2026

9:00 - 17:00 (GMT+2 TIMEZONE)

Virtual Classroom, APAC

Certificate

By completing/passing this course, you will attain the certificate Cloudera Course Completion

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