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Home > About ASI > Customer Services > Training
Comprehensive, instructor-led training is provided for individuals interested in a greater understanding of the Preact® Software Toolkit, the foundation for ASI’s Associate Systems technology. Choosing between one, three, and five-day training workshops, you will receive instructions on how to use our unique set of intelligent systems software. The training workshops are available at ASI's corporate training facility or at a location of your choice.
Introductory Classroom-based Courses
We offer three live Instructor-led training courses to acquaint students with PreAct® software:
- ASI 101 - Fundamentals of Associate Systems
- ASI 102 - Fundamentals of Knowledge Engineering
- ASI 103 - Building Applications with PreAct® Software
Overviews of these courses are as follows:
ASI 101 – Fundamentals of Associate Systems
Course Description
Associate Systems is a rapidly developing area of intelligent systems technology that blends human and computer intelligence in complex, real-time task environments. This course provides an introduction to the history and current state of the art of Associate Systems, with emphasis on the PreAct® cognitive engine. The course teaches the functionality of Associate Systems and their typical knowledge content. The instructors place particular attention on the characteristics of problem areas that are well suited for Associate Systems. The course also provides an overview of the software and knowledge engineering processes used to build and test Associate Systems, as well as an overview on estimating the life cycle costs and potential benefits of this powerful new approach to computer software. Demonstrations of some existing Associate Systems are included.
What You Will Learn
- The structure of the processes and knowledge within an Associate System
- How to recognize task environments where Associate Systems are cost-effective
- Overview of the development processes and tools used to design, build and test Associate Systems with the PreAct ® intelligent software platform.
- Overview of how to estimate the cost and benefits of an Associate Systems application
Who Should Attend
This course is valuable for anyone who is interested in understanding the characteristics and philosophy of Associate Systems and gaining a high-level understanding of how the PreAct® intelligent software platform can be used to build them. Students include program managers who will be managing knowledge-based software projects, and engineers and managers who will be evaluating whether and how Associate Systems technology can best be employed within their organizations. No prior experience with knowledge-based systems is necessary.
Prerequisites
None
Course Length
This is a one-day course.
ASI 102 – Fundamentals of Knowledge Engineering
Course Description
Associate Systems is a rapidly developing area of intelligent systems technology that blends human and computer intelligence in complex, real-time task environments. This course teaches students how to perform the knowledge engineering necessary to build an Associate System with the PreAct® intelligent software platform. Students will learn how to transform natural domain knowledge into organized knowledge and how to transform organized knowledge into operational knowledge that can be executed with the PreAct software.
What You Will Learn
- Details of the knowledge and processes within an Associate System
- Details of the development processes used to design knowledge for Associate Systems that use the PreAct® intelligent software platform
- How to construct a domain ontology
- How to capture organized knowledge in the Intermediate Representations Tool
- How to create operational knowledge in the Integrated Knowledge Environment (IKE®) Tool
Who Should Attend
This course is valuable for anyone who is interested in gaining an understanding of the knowledge engineering process and tools used to build PreAct knowledge bases, along with the details of those knowledge bases. Students include novice engineers who will be participating in knowledge design reviews and novice knowledge engineers who will be performing knowledge engineering under the guidance of a technical leader who is experienced in knowledge engineering for PreAct. No prior experience with knowledge- based systems is necessary, and no software development skills are necessary.
Prerequisites
ASI 101 - Fundamentals of Associate Systems
Course Length
This is a five-day course.
ASI 103 – Building Applications with PreAct®
Course Description
Associate Systems is a rapidly developing area of intelligent systems technology that blends human and computer intelligence in complex, real-time task environments. Once the knowledge for an intelligent system has been developed, the intelligent system must still be integrated with other system components. This course teaches students how to build an intelligent application using the PreAct® intelligent software platform. Students will learn how to integrate an Associate Systems built using PreAct® with data sources and control systems, as well as the rudiments of knowledge and software debugging for a PreAct® application.
What You Will Learn
- Details of the structure of a PreAct® application
- Details of the interface protocols and interfaces used by the PreAct® modules
- How to initialize and execute a PreAct® application
- How to use a PreAct® application to process data sources and control external systems
Who Should Attend
This course is valuable for anyone who is interested in understanding the software implementation necessary to build PreAct® applications. Such people include software engineers who will be implementing an Associate System, based on a solid knowledge design and system requirements, under the guidance of a technical leader who is experienced in knowledge engineering. Prerequisites include software development skills and a high level understanding of knowledge engineering with PreAct®.
Prerequisites
- ASI 101 - Fundamentals of Associate Systems
- Ability to read C++ code
- Ability to write basic C++ code
Course Length
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