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Welcome to Instructor-Led Training

Welcome to Instructor-Led Training

Accelerate your technical expertise with hands-on, in-person training delivered by Cognite experts. Explore our specialized modules below to view upcoming open sessions or coordinate custom on-site sessions for your teams.

In-Person Training

Cognite Data Fusion Practitioner Level 100

Comprehensive hands-on training covering core concepts, data modeling, and practical integrations within CDF.

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In-Person Training

Cognite Flows Practitioner Level 100

Master automated workflow orchestration and operational pipeline management tailored to your enterprise needs.

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Cognite Data Fusion Practitional Level 100

Your Path to Industrial DataOps Expertise

Harness the unified power of your data in an intensive 4-day paid in-person workshop. Designed to take you from concept to production-ready solution.

Build & Deploy

Hands-on training taking you from raw data to a live, production-ready solution using Cognite Data Fusion.

Deep Technical Insight

Master data modeling, contextualization pipelines, and architecture with direct guidance from Cognite experts.

Official Certification

Validate your practical expertise and leave the bootcamp as a certified Cognite Data Fusion practitioner.

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Who Should Attend

Technical professionals proficient in modern data frameworks.

Prerequisite Check: Please ensure you complete the prerequisited before attending.
View Prerequisites
Cognite Data Fusion Practitional L100 - Agenda Header

Cognite Data Fusion Practitional L100 - Agenda

4 Day Data Program Widget
Day 1
Data Foundation
  • Access Management Best PracticesLearn how to create and manage groups, spaces, datasets, databases, and tables efficiently.
  • Cognite Toolkit Setup and DeploymentConfigure the Cognite Toolkit and deploy a data foundation seamlessly.
Day 2
Data Integration
  • Intro to Extractors and PipelinesUnderstand extractors, how they work, and how to configure extraction pipelines.
  • Configuring and Deploying IntegrationsLearn to set up hosted extractors, deploy custom extractors, and implement Functions.
Day 3
Data Modeling
  • Intro to Data Modeling and CDMUnderstand key concepts, explore CDM, and create transformations in cdf-tk.
  • Building and Managing Data ModelsStructure Asset hierarchies, contextualize data, and automate workflows.
Day 4
Data Orchestration and Industrial Tools
  • Data OrchestrationUnderstand data workflows, deploy them using cdf-tk, and navigate them in the UI.
  • Industrial ToolsCreate charts, build an industrial canvas, and explore data in Search.