Leverage the latest DMC3 AI/ML innovations—Aspen Deep Learning, Aspen Maestro™ and Aspen Virtual Advisor™ (AVA). Discover how to apply these cutting-edge technologies to your existing applications to boost controller uptime and optimize performance.

Learn how you can close the gap between planning and actual operations with Aspen Generic Dynamic Optimization Technology (GDOT). Improve margins and achieve plant performance objectives by integrating planning, scheduling and advanced process control in closed loop to minimize product giveaway, increase throughput and improve yields.

Learn how to deploy and configure AspenTech Inmation as a high-performance industrial data fabric. Understand how AspenTech Inmation underpins reliable, scalable and secure data flows for advanced digital initiatives. Easily connect to diverse data sources, access real-time and historical data.

Harness AI-powered, user-configurable dashboards to monitor asset health and performance in real time. Leverage KPI-driven insights and predictive analytics to quickly identify opportunities, mitigate risks and prevent financial or safety impacts. Optimize workflows by integrating AI-driven predictive maintenance with your existing practices—empowering teams to act proactively, improve decision-making and drive long-term equipment reliability.

Use Aspen Fidelis to accurately quantify future plant performance and uncover which unplanned equipment failures or events are limiting operational outcomes. Compare the benefits and costs of different improvement options to make smarter, data-driven capital asset management decisions. Gain the skills to initiate new sustainability projects and evaluate their value potential, ensuring long-term reliability and business impact.

Use Aspen ProMV to gain actionable insights from industrial batch data for improved process optimization and faster troubleshooting. Discover how to connect time-varying process data, raw material properties and initial conditions to final product quality and overall productivity—enabling smarter decisions and more consistent outcomes.

Learn the basics of multivariate analysis with the Aspen Unscrambler interface. Uncover multivariate relationships from process and spectroscopic data, and use this information for classification, quality prediction and production management. Learn how to relate process data, raw material properties and initial conditions to final product quality and productivity.

Learn process simulation techniques to forecast GHG emissions and minimize energy consumption. Through guided exercises, you’ll build, analyze and optimize flowsheet models—testing different plant configurations to find the best path to lower emissions and higher efficiency.

Understand the power of first principles-driven hybrid models in industrial applications. Learn the advantages of integrating mechanistic principles with AI and machine learning techniques to create accurate, predictive models. Use real-time plant data to enhance model accuracy to replace modeled relationships not fully captured by traditional engineering models.

Harness the power of Industrial AI in Aspen OptiPlant™ to intelligently generate and evaluate multi-discipline plant layouts that align with your business goals, safety standards, engineering constraints and construction requirements. Learn how end-to-end approach—from simulation to layout to estimating—enables faster, smarter decision-making and optimal project outcomes.

Create rigorous simulation of carbon capture processes with amine solvents. Set up component properties and reactions essential for modeling carbon capture processes in Aspen HYSYS to meet sustainability goals. Identify the key steps and unit operations involved in accurately modeling carbon capture processes.

Learn how to model industrial-scale alkaline electrolyzers in Aspen Custom Modeler. Hands-on exercises will guide you through building a steady-state custom electrolyzer model, exporting it into Aspen Plus and analyzing key performance metrics.

Develop the skills and techniques required to create a utilities system flowsheet with Aspen Utilities Planner. Learn methods of minimizing total utilities operating cost by accounting for economic, operation and environmental constraints simultaneously. Gain knowledge on methods of analyzing and optimizing typical business processes within the energy management domain.

Learn how to integrate existing Aspen HYSYS process simulation models with real-time plant data to build and deploy a dynamic online digital twin. This course guides you through the end-to-end workflow for creating a live, data-driven replica of your plant, enabling continuous monitoring, performance optimization and smarter operational decisions.

Dive into Aspen Unified PIMS AI-augmented production-planning solution. This hands-on training will walk you through seamless model setup, scenario generation and closed-loop optimization. Discover how to leverage hybrid first-principles and data-driven models, embed AI-based guidance and integrate planning, scheduling and reconciliation into one collaborative environment.

Unlock the full power of Aspen Unified Scheduling for integrated planning and scheduling. This training will guide you through automating routine tasks like data reconciliation, first-pass feasible schedule creation and schedule “what-if” analyses. Utilize the latest innovations to streamline refinery operations.

Dive into Aspen SKUA’s end-to-end workflows for subsurface modeling. Learn how to integrate wells, seismic, cores and logs into a unified 3D environment. Build structural and stratigraphic models and propagate geological uncertainties through to flow‐simulation readiness. Hands-on labs reinforce best practices for automation, scripting and data exchange with downstream simulators.

Learn how to perform both steady-state and transient analyses, forecast life-of-field performance and optimize operations under varying boundary conditions. Integrate Aspen HYSYS with Aspen METTE simulations to run multiple production scenarios and enhance project efficiency.

Optimize interpretation of seismic data by integrating, visualizing and managing large volumes of data—wells, logs, horizons and faults—within a single collaborative workspace.

Dive deep into Aspen Geolog petrophysical and geological analysis tools. Learn to ingest and manage large well log datasets, perform advanced formation evaluation and apply machine-learning techniques for uncertainty quantification.