KNIME is the open-source, node-based platform that lets you build data pipelines by dragging and connecting blocks instead of writing scripts. This course walks you from a first install through advanced territory: joining and cleaning messy data, training machine learning models, and wiring up GenAI features like the K-AI assistant, RAG pipelines, and the Agent Chat Widget. Every module ends with a lab built on realistic datasets, and the whole curriculum is mapped against KNIME's official certification blueprint so exam prep isn't an afterthought.
There's no coding requirement to start this KNIME course. That said, a few things will make the first two weeks smoother:
By the end of this KNIME training, you'll be able to:
This KNIME course works equally well for someone who has never opened a data tool and for a technical professional who wants a faster, visual way to build pipelines.
KNIME shows up alongside SQL and Python in a growing number of data analyst, data engineer, and BI job listings, particularly in pharma, banking, insurance, and manufacturing, where the platform has deep roots. Certified skills can support roles such as:
igmGuru built this KNIME course around the certification exam blueprint and current enterprise use cases, not just a tour of the software.
This course prepares you for KNIME's own Certification Program, which is separate from and recognized alongside your igmGuru course-completion certificate. Here's how the official program is structured:
Certifications are valid for two years, and you're allowed one retake within three months if you don't pass on the first attempt. igmGuru's curriculum is built directly around this blueprint, so the labs and mock assessments in Module 10 mirror the format and difficulty of the real exams rather than a generic multiple-choice quiz.
The L1 exam is free and open to anyone. L2 costs $50 and L3 costs $100, both administered directly by KNIME, separate from igmGuru's training fee.
No. KNIME is built around drag-and-drop nodes, so you can build full pipelines without writing code. Python and R nodes are available later if you want to extend workflows programmatically.
Most learners complete this 45-hour course in 6–8 weeks alongside a job, then sit the L1 exam within a week or two of finishing. L2 and L3 typically follow after additional practice.
igmGuru's certificate confirms you completed this training program. KNIME's L1-L4 certifications are issued directly by KNIME AG after you pass their proctored exams, and are the credential employers recognize industry-wide.
Yes, particularly for pharma, banking, insurance, and manufacturing employers, where KNIME has an established footprint alongside SQL and Python for analytics and ETL work.
Yes, KNIME allows one retake within three months of your original attempt. If you don't pass the retake, you'll need to wait before registering again.
Yes. Modules 8 and 9 cover the GenAI Gateway, RAG pipeline building, and agentic AI workflows using the Agent Chat Widget, including PII protection with Presidio.
This course is built on KNIME Analytics Platform 5.5, the current release, including its updated workflow canvas rendering and GenAI capabilities.
No. KNIME Analytics Platform is free and open source. Some GenAI labs use free-tier or trial access to LLM providers, which we'll walk you through.
KNIME's free courses are self-paced and cover individual topics. igmGuru adds live instructor support, structured pacing, project-based labs, and doubt resolution across the full certification path in one program.
