Agilent University Course Catalog (2022 Edition – Courses in English)

Importance of topic

Providing targeted technical training on advanced analytical instruments is essential to maximize laboratory productivity and return on investment. Well-structured courses help reduce errors and instrument downtime, improve feature utilization, accelerate new hire onboarding and boost confidence in routine and complex analyses.

Objectives and overview

This catalog describes Agilent University’s global training portfolio, designed to equip laboratory professionals with practical skills on gas and liquid chromatography, mass spectrometry, elemental spectrometry and associated software. It outlines classroom, on-site and virtual instructor-led training (vILT) formats, tailored schedules and credit-based budgeting.

Methodology and instrumentation

Training is delivered in three main formats:

• Classroom: Hands-on sessions in Agilent training centers worldwide.
• Virtual instructor-led training (vILT): Live remote instruction with step-by-step guidance and Q&A.
• On-demand modules: Self-paced online content.

Key instrument platforms covered include:

• Gas chromatography (GC-8890, 7890)
• Liquid chromatography (Agilent Infinity UHPLC series)
• GC/MS (5977, 7000/7010 triple quadrupole, 7250 Q-TOF)
• LC/MS (6400 QQQ, 6500 Q-TOF, Ultivo LC/TQ)
• ICP-MS (7850, 7900, 8800 series) and ICP-OES (5100 series)
• Data systems and software (OpenLAB CDS, MassHunter, Mass Profiler Professional)

Main findings and discussion

Customer feedback indicates a 93.3 % recommendation rate for Agilent University courses. Participants report significant improvements in troubleshooting, data analysis, throughput and routine maintenance. During the COVID-19 pandemic, remote training adaptations (e.g., converting a two-day onsite workshop into multiple vILT sessions) proved effective, maintaining instructional continuity even under travel restrictions.

Benefits and practical applications

Comprehensive training leads to:

• Reduced instrument errors and rework
• Enhanced utilization of advanced features
• Higher lab throughput and productivity
• Standardized maintenance and troubleshooting workflows
• Efficient budget management through training credits

Future trends and applications

Emerging directions include expanded virtual and hybrid learning models, personalized curricula driven by digital analytics, integration of augmented reality for remote support, and AI-enhanced content delivery. These innovations will further improve engagement, accessibility and skill retention.

Conclusion

Agilent University’s flexible training portfolio addresses evolving laboratory needs, enhances technical expertise across analytical platforms and ensures labs achieve optimal performance and compliance.