Agilent University Course Catalog (2023 Edition – Courses in English)

Importance of the topic

Laboratory instrument performance directly impacts data quality, productivity, and operational costs. Structured training programs ensure that analysts fully exploit instrument capabilities, minimize errors, and maintain high uptime. In the context of modern laboratories, comprehensive training supports regulatory compliance, quality assurance, and continuous improvement initiatives.

Objectives and overview

This catalog outlines Agilent University’s 2023 English-language training offerings. The main goals are to maximize return on instrument investment, build user confidence, and streamline analytical workflows. Courses cover fundamentals through advanced techniques for chromatography, mass spectrometry, spectroscopy, automation, and software.

Methodology and used instrumentation

Agilent University delivers training through multiple formats:

• Classroom sessions for hands-on experience and expert interaction
• Virtual instructor-led training combining live guidance with remote access
• Self-paced e-learning for flexible, on-demand skill development
• E-pass subscriptions granting 24/7 access to a comprehensive digital library

Used instrumentation includes:

• Gas chromatographs (8890 series, Infinity series HPLC)
• GC/MS systems (5977, 7000/7010 triples, 7200 Q-TOF)
• LC/MS systems (6400 QQQ, 6500 Q-TOF, Ultivo TQ)
• Inductively coupled plasma systems (5800/5900 ICP-OES, 7850/7900/8900 ICP-MS)
• Automation platforms (VWorks Bravo protocols)
• Software tools (MassHunter, OpenLab CDS, Mass Profiler, ReportBuilder)

Main feedback and discussion

Customer surveys across Europe in 2022 highlight:

• Over 94% of participants would recommend Agilent University courses
• High ratings for course content, trainer expertise, and practical exercises
• Positive impact on troubleshooting skills and method optimization
• Enhanced understanding of advanced instrument features and maintenance procedures

Benefits and practical applications

Well-structured training leads to:

• Reduced instrument downtime and fewer support calls
• Improved sample throughput and data reliability
• Accelerated onboarding of new staff with standardized procedures
• Efficient use of advanced features, resulting in more robust analytical methods

Future trends and opportunities

Emerging directions in analytical chemistry training include:

• Expanded virtual and augmented reality modules for immersive learning
• AI-driven adaptive learning platforms tailoring content to individual needs
• Cloud-based instrument simulators enabling global access
• Integration of big-data analytics training alongside instrument operation

Conclusion

Targeted training programs are essential for optimizing laboratory performance and safeguarding data integrity. Agilent University’s multi-format offerings provide flexible, expert-led education that translates directly into operational efficiency and scientific excellence.