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LIMS training
More than 2 million students worldwide

LIMS training

4.2

Master every critical function of a Laboratory Information Management System, from sample registration and workflow automation to regulatory validation and advanced reporting. This LIMS training gives laboratory professionals, administrators, and quality teams the hands-on knowledge needed to operate, configure, and maintain a compliant, high-performance laboratory environment. Whether you are new to LIMS or expanding your expertise, this course delivers practical skills you can apply immediately.

Dedika for businesses

What you will learn:

This course covers the full scope of LIMS operations, starting with system architecture and user roles, then moving through sample management, test configuration, and result entry. You will learn how to apply data integrity principles, manage quality control samples, and use audit trails to satisfy regulatory inspections. The curriculum also addresses report design, data export, and automated report delivery. Advanced topics include instrument integration, REST API basics, enterprise system connections, and computer system validation. By the end, you will also understand how to administer user accounts, monitor system performance, and evaluate emerging technologies such as AI and IoT for laboratory use.

How you study in practice LIMS training

How you practise LIMS training

For businesses looking to train their team

With Dedika for businesses, the course includes exercises and examples tailored to your own business and the way your company needs.

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Course content

8 Chapters • 40 LessonsDuration between 4 and 360 hours (you decide)

Chapter 1See details

Introduction to LIMS Fundamentals

  • Lesson 1 • What Is a LIMS?

    Defines LIMS, its purpose, and how it differs from related systems like ELN and SDMS. Anchors the chapter by establishing shared vocabulary for all subsequent topics.

  • Lesson 2 • LIMS Architecture Overview

    Explains client-server, web, and cloud deployment models and their components. Helps learners map system structure before interacting with the interface.

  • Lesson 3 • History and Evolution of LIMS

    Traces LIMS development from paper-based logs to cloud-native platforms. Provides context for understanding why modern LIMS features exist.

  • Lesson 4 • Business Value and ROI of LIMS

    Quantifies efficiency gains, error reduction, and compliance benefits that LIMS delivers. Prepares learners to justify LIMS adoption to stakeholders.

  • Lesson 5 • Key Stakeholders and User Roles

    Identifies roles such as laboratory technician, analyst, manager, and administrator within a LIMS. Clarifies how role-based access shapes daily workflows.

Chapter 2See details

Navigating the LIMS Interface

  • Lesson 1 • Searching and Filtering Records

    Teaches basic and advanced search tools, filters, and saved queries. Directly supports efficient data retrieval throughout all LIMS workflows.

  • Lesson 2 • Help Resources and System Support

    Surveys built-in help, tooltips, user manuals, and support ticket processes. Empowers learners to resolve issues independently after training.

  • Lesson 3 • Login, Authentication, and Security

    Covers credential setup, multi-factor authentication, and session management. Establishes secure access habits before any data interaction begins.

  • Lesson 4 • Data Entry Forms and Field Types

    Introduces form layouts, mandatory fields, dropdowns, and date pickers. Accurate form completion is the foundation of reliable LIMS data.

  • Lesson 5 • Dashboard Layout and Navigation

    Explains the main dashboard, navigation menus, and module structure. Enables learners to locate any function quickly within the system.

Chapter 3See details

Sample Management and Chain of Custody

  • Lesson 1 • Sample Storage and Inventory

    Covers storage location mapping, container hierarchies, and inventory alerts. Proper storage management prevents sample loss and degradation.

  • Lesson 2 • Chain of Custody Tracking

    Teaches how LIMS records every transfer, location change, and handler event. Demonstrates how custody logs satisfy regulatory and legal requirements.

  • Lesson 3 • Sample Registration and Labelling

    Covers creating sample records, assigning unique identifiers, and printing labels. Accurate registration is the entry point for all downstream tracking.

  • Lesson 4 • Sample Disposal and Archiving

    Explains disposal workflows, retention schedules, and archiving procedures. Completes the sample lifecycle and ensures compliant record retention.

  • Lesson 5 • Sample Login and Accessioning

    Explains the accessioning workflow, condition checks, and rejection criteria. Ensures only valid samples enter the analytical pipeline.

Chapter 4See details

Test and Workflow Management

  • Lesson 1 • Workflow Configuration and Routing

    Teaches sequential and parallel workflow steps, conditional branching, and escalation rules. Proper routing eliminates bottlenecks and missed handoffs.

  • Lesson 2 • Test Definition and Method Setup

    Covers creating test templates, defining parameters, and setting units and limits. Well-defined tests ensure consistent data capture across all analysts.

  • Lesson 3 • Result Entry and Calculation

    Covers manual result entry, formula-based calculations, and unit conversions. Accurate result capture is the core analytical output of the LIMS.

  • Lesson 4 • Work Order Creation and Assignment

    Explains generating work orders, linking samples to tests, and assigning analysts. Work orders are the primary task-management mechanism in LIMS.

  • Lesson 5 • Workflow Monitoring and Status Tracking

    Introduces dashboards, queue views, and status indicators for active workflows. Real-time visibility enables supervisors to manage laboratory throughput effectively.

Chapter 5See details

Data Integrity and Quality Control

  • Lesson 1 • Data Integrity Principles in LIMS

    Explains ALCOA+ principles and how LIMS enforces attributability, legibility, and contemporaneity. Provides the regulatory rationale for every integrity control.

  • Lesson 2 • Audit Trail Configuration and Review

    Covers enabling, configuring, and reviewing audit trails for all data changes. Audit trails are the primary evidence of data integrity during inspections.

  • Lesson 3 • Data Review and Approval Workflows

    Explains multi-level review, electronic approval, and rejection with comments. Structured review gates prevent unverified data from reaching final reports.

  • Lesson 4 • Quality Control Sample Management

    Teaches inserting blanks, standards, duplicates, and spikes into analytical batches. QC samples validate method performance and instrument accuracy.

  • Lesson 5 • Control Charts and Statistical Monitoring

    Introduces Levey-Jennings charts, Westgard rules, and trend detection in LIMS. Statistical monitoring catches systematic errors before they affect reported results.

Chapter 6See details

Reporting and Result Delivery

  • Lesson 1 • Data Export and External Sharing

    Covers exporting to PDF, Excel, CSV, and XML formats and secure sharing methods. Proper export practices maintain data fidelity and protect confidential results.

  • Lesson 2 • Standard and Custom Report Types

    Surveys certificate of analysis, chain of custody, and summary report formats. Matching report type to audience ensures information is clear and actionable.

  • Lesson 3 • Report Template Design

    Covers building report layouts, adding fields, logos, and conditional formatting. Well-designed templates reduce manual editing and ensure brand consistency.

  • Lesson 4 • Scheduled and Automated Reporting

    Explains scheduling recurring reports, trigger-based generation, and distribution lists. Automation reduces manual effort and ensures timely delivery to stakeholders.

  • Lesson 5 • Report Generation and Preview

    Teaches on-demand report generation, preview, and pre-release error checking. Previewing before release prevents distribution of incorrect documents.

Chapter 7See details

Regulatory Compliance and Validation

  • Lesson 1 • Regulatory Frameworks Affecting LIMS

    Surveys good laboratory practice, good manufacturing practice, and ISO quality standards relevant to LIMS. Establishes the compliance landscape before validation work begins.

  • Lesson 2 • Performance Qualification and User Acceptance

    Teaches PQ execution under real-use conditions and formal user acceptance testing. PQ and UAT confirm the system meets business and regulatory requirements in practice.

  • Lesson 3 • Computer System Validation Principles

    Explains the validation lifecycle, risk-based approach, and key deliverables. Validation evidence demonstrates that the LIMS consistently performs its intended functions.

  • Lesson 4 • Change Control and Revalidation

    Explains the change control process, impact assessment, and revalidation triggers. Ongoing change control keeps the validated state intact after system updates.

  • Lesson 5 • Installation and Operational Qualification

    Covers IQ and OQ protocol execution, test scripts, and defect management. These qualifications confirm correct installation and baseline operational performance.

Chapter 8See details

LIMS Administration and System Maintenance

  • Lesson 1 • System Configuration and Customisation

    Explains configuring picklists, units, numbering schemes, and system-wide defaults. Correct configuration aligns the LIMS with laboratory-specific workflows and standards.

  • Lesson 2 • Backup, Recovery, and Disaster Planning

    Teaches backup schedules, recovery point objectives, and disaster recovery drills. Reliable backup procedures protect against data loss from hardware or software failures.

  • Lesson 3 • Patch Management and Upgrades

    Explains patch evaluation, staging environment testing, and production deployment. Controlled upgrades maintain system stability while incorporating vendor improvements.

  • Lesson 4 • User Account and Role Administration

    Covers creating accounts, assigning roles, and managing permissions at scale. Proper access control is the first line of defence for data security and integrity.

  • Lesson 5 • Performance Monitoring and Optimisation

    Covers system health dashboards, query optimisation, and index maintenance. Proactive monitoring prevents slowdowns that disrupt laboratory productivity.

Certification

Your valid completion certificate

This course is for you:

  • Lab technician: ready to move beyond paper-based tracking systems.

  • Quality assurance specialist: needing deeper control over compliance documentation.

  • Lab manager: looking to improve team efficiency through better data systems.

  • IT professional: supporting a laboratory environment without a science background.

  • Recent science graduate: entering an industry role that requires LIMS proficiency.

  • Career changer: transitioning into laboratory operations from a data management role.

What our students say

Your lessons are perfect. I purchased the one-year package and finally have the opportunity to follow various topics of interest without needing to change platforms... I'm grateful for everything you do, I've already recommended you to other people...
Giulio Carlo
Giulio CarloDigital Marketing Student
I like how the lessons are straight to the point and how I can change chapters and skip content I don't need.
Mariana Ferres
Mariana FerresPhotography Student
I like the content and the way videos are presented and transcribed, which speeds up the process!
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Luciana AlvarengaNail Design Student
The platform is fast and simple to use. The diversity of content and complementary videos really help with learning.
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André FelipePrompt Engineering Student

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