English
Spain
Filter
Showing 1–15 of 30 results
Go beyond concepts. Access real-world AI use cases across industries — understand what worked, what didn’t, and what it actually takes to implement.
Participants will be able to design compliant primary and secondary packaging systems, assess material compatibility, integrate serialization requirements, apply risk-based packaging validation, and implement sustainable packaging strategies aligned with global regulatory expectations.
Participants will develop the ability to analyze combustion behavior in internal combustion engines using engineering data and diagnostic techniques. They will learn how to interpret combustion parameters, optimize air–fuel mixing, and apply advanced practices that improve engine efficiency, emissions performance, and overall powertrain development outcomes.
Participants will gain a clear understanding of the stages involved in pharmaceutical drug discovery and development. They will learn how drug targets are identified, how potential drug candidates are screened and optimized, and how preclinical and clinical studies are designed to evaluate safety and efficacy. The program will also develop understanding of regulatory approval pathways, commercialization considerations, and emerging technologies that are transforming pharmaceutical research and development.
Participants will gain the ability to interpret scientific and clinical evidence, develop regulatory documentation across the drug development lifecycle, and translate validated clinical data into compliant product labelling and regulatory submissions.
ASPICE Essentials for Engineering in Automotive
Participants will gain the ability to understand ASPICE framework structure, apply software development process standards in automotive control systems, align engineering practices with ASPICE capability levels, and support readiness for ASPICE process assessments.
Participants will gain the ability to use artificial intelligence tools to support literature analysis, draft scientific and regulatory documents, enhance clarity and consistency in medical writing, and implement responsible workflows that align with pharmaceutical compliance and documentation standards.
Participants will be able to structure scientific documents effectively, interpret and present clinical data accurately, apply regulatory writing standards, ensure logical flow and clarity, maintain compliance with documentation guidelines, and manage document lifecycle processes. They will improve efficiency, accuracy, and professional credibility in scientific communication.
Participants will be able to analyze wake behavior using engineering models, apply wake steering techniques, design optimized turbine layouts, evaluate secondary energy capture methods, and implement performance improvement strategies that enhance overall wind farm productivity and reduce operational losses.
Participants will be able to evaluate mass drivers at vehicle and subsystem levels, apply material substitution strategies, perform structural optimization assessments, and support cross-functional lightweighting decisions aligned with performance and regulatory requirements.
Participants will be able to explain ADAS system architecture, compare sensor technologies, support sensor fusion integration, interpret validation data, and contribute to structured testing and compliance activities aligned with automotive safety standards.
Participants will be able to explain electric powertrain architecture, design key subsystems including battery, motor, and inverter, apply performance calculations, develop validation plans, interpret test data, and ensure compliance with automotive performance and safety standards.
Competitive Intelligence for Pharma R&D
Participants will be able to build competitive intelligence frameworks, analyze competitor pipelines and patents, interpret regulatory and clinical trial trends, assess market entry risks, and integrate CI insights into product development and lifecycle strategy decisions.
Participants will be able to align development strategy with IND, NDA, and ANDA requirements, understand data expectations across development stages, support regulatory documentation, and reduce development risks through early regulatory integration.
- 1
- 2