
LIMS Training
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 lab professionals, administrators, and quality teams the hands-on knowledge needed to operate, configure, and maintain a compliant, high-performance lab environment. Whether you're new to LIMS or expanding your expertise, this course delivers practical skills you can apply immediately.
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 practice LIMS Training
For companies that want to train their team
With Dedika for Business, the course includes exercises and examples tailored to your own business and the way your company needs.
Course content
8 Chapters • 40 LessonsDuration between 4 and 360 hours (you decide)
Chapter 1HideHide detailsSee detailsIntroduction to LIMS Fundamentals
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 lab technician, analyst, manager, and administrator within a LIMS. Clarifies how role-based access shapes daily workflows.
Chapter 2HideHide detailsSee detailsNavigating the LIMS Interface
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 3HideHide detailsSee detailsSample Management and Chain of Custody
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 Labeling
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 4HideHide detailsSee detailsTest and Workflow Management
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 lab throughput effectively.
Chapter 5HideHide detailsSee detailsData Integrity and Quality Control
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 6HideHide detailsSee detailsReporting and Result Delivery
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 7HideHide detailsSee detailsRegulatory Compliance and Validation
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 8HideHide detailsSee detailsLIMS Administration and System Maintenance
LIMS Administration and System Maintenance
Lesson 1 • System Configuration and Customization
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 defense for data security and integrity.
Lesson 5 • Performance Monitoring and Optimization
Covers system health dashboards, query optimization, and index maintenance. Proactive monitoring prevents slowdowns that disrupt laboratory productivity.
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
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