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Course Catalog

These are our courses listed in alphabetical order. Their specific schedules can be found by clicking on the links to the right of the descriptions.

People often find it easier to find the course(s) they are looking for by using the search page. Please click this link if you would prefer to use that tool.

The Analyzing PI System Data course is data oriented concentrating on viewing the PI System data, combining PI System data with other data, and creating reports allowing the analysis of the data through Business Intelligence (BI) tools. This class will teach you about different clients and tools to view your PI Data. Learn how to import PI System Data through the PI Integrator for Business Analytics and merge it with external data to create easy-to-read reports, reduce reports associated with related data, and publishing reports allowing easy sharing and ensuring one version of the truth being the focal point. The class will cover aspects of the following tools; PI Integrator for Business Analytics, Microsoft Excel, Microsoft PowerPivot, Microsoft PowerView, Microsoft PowerBI, and Tibco Spotfire. If you feel like writing business reports is too difficult, this may be the course for you. We will build upon your existing application knowledge with hands-on activities to help you slice and dice your business data.

The class is 3 days long. Class will start promptly at 8:30am and is scheduled to 4:30 with a one hour lunch break. When making travel arrangement for the class, please plan to remain on site to the completion of the final exercise. This should be no later than 4:30 on the last day of the class.



In this online course, you will expand your knowledge on PI ProcessBook to interpret your process data in a deeper and more organized way. This is a follow-up course to the Building Basic Displays with PI ProcessBook online course and will cover more advanced topics such as creating workbooks, data sets, XY plots, and SQC charts. You will be introduced to the PI AF Display Builder and will find out how to present your data in an organized format beyond just displaying values.

Note: Learners are encouraged to use their own software and their own data structures. This allows each learner to leave the course with something immediately valuable in their enterprise.

Don't have access to your own PI System?

This online course can be purchased together with the Virtual Learning Environment (VLE), an isolated environment, designed to enhance your learning experience. You will receive access for 21 days since the purchase.

Add the Course Virtual Learning Environment (Optional - Includes Additional Cost)


In this online course, you will learn the skills needed to successfully model your processes and equipment using Asset Framework (AF). This course discusses the methodologies needed to build representations of assets (AF Elements) and their associated data (AF Attributes). You will see how elements and attributes help users successfully organize assets into hierarchies and unify data from multiple sources, such as real-time data from the PI Data Archive, metadata from relational sources and calculated data from AF formulas.

Through online videos and hands-on practices, you will learn how to templatize elements and add Units of Measure (UOM) to standardize models across different assets or units of an organization. By the end of the course, you will be able to leverage templates to scale models out and compare like assets using OSIsoft client tools.

Note: Learners are encouraged to use their own software and their own data structures. This allows each learner to leave the course with something immediately valuable in their enterprise.

Don't have access to your own PI System?

This online course can be purchased together with the Virtual Learning Environment (VLE), an isolated environment, designed to enhance your learning experience. You will receive access for 21 days since the purchase.

Add the Course Virtual Learning Environment (Optional - Includes Additional Cost)


In this online course, you will learn how to use PI ProcessBook to access your process data. Through online videos and hands-on exercises, we will guide you on how to create a variety of displays, such as trends and bar graphs, to monitor your process. This course leverages the power of the intuitive Asset Framework structures to enable you to display attributes of an asset, search in AF, and build element relative displays.



Note: Learners are encouraged to use their own software and their own data structures. This allows each learner to leave the course with something immediately valuable in their enterprise.

Don't have access to your own PI System?

This online course can be purchased together with the Virtual Learning Environment (VLE), an isolated environment, designed to enhance your learning experience. You will receive access for 21 days since the purchase.

Add the Course Virtual Learning Environment (Optional - Includes Additional Cost)

The Building PI System Assets and Analytics with Asset Framework (AF) class provides a working knowledge of the power of the AF Server, an integral part of the PI System. You will learn to define consistent representations of organizational assets and/or equipment and use these representations in simple or complex analyses that yield critical and actionable information. AF allows an application designer to identify and customize the components or elements that make up a process, associate real-time, relational or calculated data with these elements, specify organizational structure via hierarchies or connectivity relationships, and apply calculations or rules against these assets and determine how results should be displayed.

In this class we discuss and build basic AF elements and attributes, construct calculations, and configure relational database queries. In a simulated environment, Asset Analytics are used to calculate metric data for the Overall Equipment Effectiveness (OEE). We see how Event Frames are applies to monitor the production process for downtime situations and for process excursions. We explore the visualization of the information with different products of the PI Visualization Suite. In the advanced exercises we discuss combining the various elements to provide users complex information structures. We will build connections to relational databases and use that information in displays and analytics.

Also covered in detail will be Notifications which allows users to configure custom alarms through a standard user interface based on any data source. Leveraging the generic data access and template-driven capabilities of AF users can redeploy alarm parameters in Notifications to similar assets across the Enterprise. When operational excursions occur, Notifications can send alerts to a single recipient, a group of contacts, or an escalation team that reflects the organization's chain of command.

The class is four days long. Class will start promptly at 8:30 a.m. and is scheduled to run until 4:30 p.m. We will break for lunch for one hour each day. When making travel arrangement for the class, please plan to remain on site to the completion of the final exercise. This should be no later than 4:30 on the last day of the class. This class provides 26 classroom hours of instruction.

The Building PI System Assets and Analytics with Asset Framework (AF) class provides a working knowledge of the power of the AF Server, an integral part of the PI System. You will learn to define consistent representations of organizational assets and/or equipment and use these representations in simple or complex analyses that yield critical and actionable information. AF allows an application designer to identify and customize the components or elements that make up a process, associate real-time, relational or calculated data with these elements, specify organizational structure via hierarchies or connectivity relationships, and apply calculations or rules against these assets and determine how results should be displayed.

In this class we discuss and build basic AF elements and attributes, construct calculations, and configure relational database queries. In a simulated environment, Asset Analytics are used to calculate metric data for the Overall Equipment Effectiveness (OEE). We see how Event Frames are applies to monitor the production process for downtime situations and for process excursions. We explore the visualization of the information with different products of the PI Visualization Suite. In the advanced exercises we discuss combining the various elements to provide users complex information structures. We will build connections to relational databases and use that information in displays and analytics.

Also covered in detail will be Notifications which allows users to configure custom alarms through a standard user interface based on any data source. Leveraging the generic data access and template-driven capabilities of AF users can redeploy alarm parameters in Notifications to similar assets across the Enterprise. When operational excursions occur, Notifications can send alerts to a single recipient, a group of contacts, or an escalation team that reflects the organization's chain of command.

The class is four days long. Class will start promptly at 8:30 a.m. and is scheduled to run until 4:30 p.m. We will break for lunch for one hour each day. When making travel arrangement for the class, please plan to remain on site to the completion of the final exercise. This should be no later than 4:30 on the last day of the class. This class provides 26 classroom hours of instruction.

In this facilitated online course, you will learn the skills needed to configure interfaces and create PI Tags (also known as PI Points) using OSIsoft best practices. You will learn how to install and configure interfaces, create PI Tags, and configure buffering. During this self-paced course, you will also gain exposure on data flow through a simple PI System, connection mechanisms to PI Data Archive, and interface startup process - all of which would assist in troubleshooting. A guided final project will help to reinforce concepts and skills covered in the video lectures.

This course will leverage a Simple PI System configuration within the OSIsoft Virtual Learning Environment (VLE), virtual machines hosted on Microsoft Azure that you can access remotely. Please note that you need to meet the following system requirements in order to connect to the VLE:
  • Remote Desktop Protocol (RDP) Client
  • Access the domain cloudapp.net where the machines are hosted
A typical connection string has the form cloudservicename.cloudapp.net:xxxxx, where the cloud service name is specific to a group of virtual machines and xxxxx is a port in the range 41952-65535. Therefore users connecting to Azure virtual machines must be allowed to connect to the domain *.cloudapp.net throughout the port range 41952-65535. Please check your company firewall policies and ensure that you can connect to this domain on the required ports.


In this online course, you will explore the power of Asset Framework (AF) by configuring various types of Asset Analytics and Notifications. We will guide you on how to set up expressions for multi-line analysis, configure rollups to aggregate attributes and use Event Frames and Notifications to automatically detect and alert process events associated with assets.

Through hands-on exercises and final project, you will learn how to set up analyses using AF templates in order to deploy the analyses across the assets, to create tags in AF to store calculation results and also to backfill the analyses. Once the analyses are set up, you will be able to leverage the PI client tools such as PI DataLink and PI Vision to help visualize and understand the analyses.

Note: Learners are encouraged to use their own software and their own data structures. This allows each learner to leave the course with something immediately valuable in their enterprise.

Don't have access to your own PI System?

This online course can be purchased together with the Virtual Learning Environment (VLE), an isolated environment, designed to enhance your learning experience. You will receive access for 21 days since the purchase.

Add the Course Virtual Learning Environment (Optional - Includes Additional Cost)
In this online course, you will learn how to create, deploy, and manage your PI ACE calculations. Through online videos and hands-on exercises, you will be prepared to debug, test, register and schedule various calculations using PI ACE. You will learn how to configure and perform element relative PI ACE calculations leveraging the intuitive AF structure. Once the calculations are set up, you will then be able to reuse a calculation for similar AF assets and visualize the results in a single PI Processbook display. Additionally, the course covers architectural considerations for PI ACE, such as load balancing and high availability.

In the final project, you will develop your PI ACE calculations with your own data to produce meaningful results for your organization.

Audience

This course is for programmers and advanced PI System users who want to develop VB scripts with PI ACE that use PI System data as input and/or output or trigger.

If you are an engineer with a programming background and are interested in performing calculations against your PI System data or want to learn how to create element relative calculations based on AF data, then this course will be useful for you.

Prerequisites

This course requires a grasp of programming (Visual Basic or C# recommended) and Visual Studio.

Software Requirements

Note: Individuals enrolled in this course will be required to use their own data structures. This allows each learner to immediately leave the course with something valuable to their enterprise. The requirements for completing the exercises and the final project are as follows:
  • Microsoft Visual Studio (2010/2012) with all the PI ACE components installed
  •      PI ACE Scheduler
         PI ACE Wizard
         PI ACE Manager

  • PI System (running and collecting data with read and write access)
  •      PI Data Archive
         PI AF Server

    Optional (for load balanging/High Availability)
  • Another machine with PI ACE components installed
  •      PI ACE Scheduler
         PI ACE Manager
In this online course, you will learn the skills necessary to configure security on the PI Data Archive using OSIsoft best practices. Specifically, you will learn how to create new PI Identities and assign them custom permissions on different areas of the PI Data Archive corresponding to the security needs of your users. Through hands-on exercises and course videos, you will practice how to tighten down your PI Data Archive security model to allow the minimum permissions needed for users and applications. A guided final project will help to reinforce concepts and skills covered in the video lectures.

Note: Learners are encouraged to use their own development PI System. This allows each learner to leave the course with something immediately valuable in their enterprise. We do not recommend practicing security in a production environment.

Don't have access to a PI System sandbox?

This online course can be purchased together with the Virtual Learning Environment (VLE), an isolated and safe PI system sandbox, designed to enhance your learning experience. You will receive access for 21 days since the purchase.

Add the Course Virtual Learning Environment (Optional - Includes Additional Cost)
In this online course, you will learn how to use this tool to access your process data, create meaningful reports, and use them to make key decisions about your plant performance. PI DataLink is our add-in that allows users to access and deliver data to and from Microsoft Excel and create easy-to-read reports.

Through online videos and hands-on exercises, we will guide you on how to obtain current and archived values for a tag, as well as to retrieve compressed and sampled data. Additionally, this course leverages the intuitive Asset Framework structures to enable you to retrieve key attributes of an asset, such as current, archived, compressed, and sampled values.

Audience

This course is for beginning users of the PI System and is often an individual’s first look at OSIsoft's products. PI System managers often take this class as well. Sometimes members of a PI System project team take this class to get an “executive overview” of the capabilities of the PI System. System integrators who work with OSIsoft customers should also take this class.Students in the past have been:
  • Engineers, production managers, process operators, instrument technicians, project team members, information system analysts and computer support personnel

Note: Learners are encouraged to use their own software and their own data structures. This allows each learner to leave the course with something immediately valuable in their enterprise.

Don't have access to your own PI System?

This online course can be purchased together with the Virtual Learning Environment (VLE), an isolated environment, designed to enhance your learning experience. You will receive access for 21 days since the purchase.

Add the Course Virtual Learning Environment (Optional - Includes Additional Cost)


This online course introduces you to creating your own custom symbols and tool panes using the Extensibility Framework available in PI Vision 2017. Throughout the course, you will create symbols with one data point, multiple data points, symbols with customizable configurations and custom tools panes using JavaScript (with AngularJS), HTML, and CSS. There are 11 hands-on exercises tailored to apply the knowledge you've learned in the video lectures. Each exercise features an extra credit so that you can push yourself to learn more than what the course directly covers.

By the end of the course, you will have the opportunity to create your own custom symbol or tool pane that is meaningful to you and your organization.

Audience

This course is best suited for developers who are interested in learning different options to customize the PI Vision 2017

Prerequisites

  • This course requires basic knowledge of JavaScript, HTML, and CSS
  • Familiarity with AngularJS and Git/Github is an asset

Software Requirements

Note: Learners are encouraged to use their own software and data structures. This allows each learner to immediately leave the course with something valuable to their enterprise. The software requirements for completing the exercises and the final project are as follows:
  • PI Vision 2017 (connected to PI Data Archive and Asset Framework)

Don't have access to your own PI System?

This online course can be purchased together with the Virtual Learning Environment (VLE), an isolated environment, designed to enhance your learning experience. You will receive access for 21 days since the purchase.

Add the Course Virtual Learning Environment (Optional - Includes Additional Cost)


Discover how easy it is to develop powerful AF SDK based applications in this online course. This is a unique opportunity to learn the basics of the programmatic access to the PI System using AF SDK. You will learn how to access and explore AF hierarchy to retrieve an asset’s current and historical data. Other topics cover how to search for and display notifications, how to consume real-time streaming events via a data pipe, as well as to write a custom data reference. We will also talk about how to choose the right approach to implement a custom data reference that suits your development scenario.

Through a series of online video and hands-on exercises, you will learn how AF SDK works on your own schedule. For the final project, you will create your own AF SDK application using your own PI System data.

Audience

This course is primarily suited for developers who have a basic understanding of the PI System, including Asset Framework (AF), Asset Analytics and Notifications.

Prerequisites

This course requires a basic grasp of programming and Visual Studio.

Software Requirements

Note: Individuals enrolled in this course will be required to use their own data structures. This allows each learner to leave the course with something immediately valuable in their enterprise. The requirements for completing the exercises and the final project are as follows:
  • Microsoft Visual Studio (2013 or later)
  • .NET Framework 4.5.2 or later
  • PI System (running and collecting data with write access)
  •      PI Data Archive
         PI AF Server (2016 R2 or later for Notifications)


In this online course, you will learn how the PI System can be leveraged to better monitor asset health using Condition Based Maintenance (CBM). This course demonstrates how to use Asset Framework (AF) templates, Asset Analytics and Event Frames to implement advanced logic to evaluate your equipment's health, as well as how to use Notifications to trigger automated alerts based on deviations in your process. Additionally, you will learn how easy it is to use different client tools, such as PI Vision and PI DataLink, to visualize important information about your asset and make informed maintenance decisions.

Audience

This course is primarily suited for maintenance engineers, process engineers and reporting analysts who are considering implementing a condition based maintenance (CBM) strategy.

Prerequisites

Basic knowledge of the Asset Framework, Asset Analytics and PI Client Tools (PI Vision and PI DataLink). If you are not familiar with these topics, we encourage you to take these courses before:
  • Building Asset Hierarchies with PI AF Online Course
  • Configuring Analytics with PI AF Online Course
  • Visualizing Operational Data with PI Vision Online Course
  • Creating Basic Reports with PI DataLink Online Course
Note: Learners are encouraged to use their own software and their own data structures. This allows each learner to leave the course with something immediately valuable in their enterprise.

Don't have access to your own PI System?

This online course can be purchased together with the Virtual Learning Environment (VLE), an isolated environment, designed to enhance your learning experience. You will receive access for 21 days since the purchase.

Add the Course Virtual Learning Environment (Optional - Includes Additional Cost)
In this facilitated online course, you will deal with topics surrounding the design and implementation of a highly available PI System. It will provide you with a working knowledge of the installation of both the PI Data Archive and PI Interface, as well as how to maximize your PI System through the use of a PI Collective, Interface Failover, and more! During this self-paced course, you will gain exposure to various PI System components and their requirements, allowing you to understand the best way the PI System will fit into your own Enterprise. A final project will also help to reinforce concepts and skills covered in the video lectures.

This course will leverage a PI System configuration within the OSIsoft Virtual Learning Environment (VLE), virtual machines hosted on Microsoft Azure that you can access remotely. Please note that you need to meet the following system requirements in order to connect to the VLE:
  • Remote Desktop Protocol (RDP) Client
  • Access the domain cloudapp.net where the machines are hosted
A typical connection string has the form cloudservicename.cloudapp.net:xxxxx, where the cloud service name is specific to a group of virtual machines and xxxxx is a port in the range 41952-65535. Therefore users connecting to Azure virtual machines must be allowed to connect to the domain *.cloudapp.net throughout the port range 41952-65535. Please check your company firewall policies and ensure that you can connect to this domain on the required ports.

In our Partner Bootcamp, students will learn the basic technologies surrounding the PI System.  This course is an accelerated course bundle conceived specially for partners.  The material is delivered at a rigorous pace, but with ample time to develop skills.  Learners will be exposed to the working of the PI System from a wide range of perspectives: implementation, administration, end user, and integration.  The primary goal of this course is to the give our partners a solid grounding in the PI System so they can bring maximum value to their customers.  

This course is for Current OSIsoft Partner Program Members only.   Other registrations will be cancelled.

The PI System Administration for IT Professionals class is designed for the Information Technology Professional who is tasked with maintaining the PI System. This class will concentrate on the server side of the PI System, and it will provide you with a working knowledge of the tasks required to maintain a PI System and support the technical needs of its users. It covers the utilities provided with the PI System, as well as tag and system configuration. This class covers common management tasks, understanding the data flow, and troubleshooting procedures.

The class is four days long. Class starts at 8:30 a.m. and ends at approximately 4:30 p.m. Lunch breaks are at noon each day and last 60 minutes. When making travel arrangement for the class, please plan to remain on site to the completion of the final exercise. This should be no later than 4:30 on the last day of the class. This class provides 26 classroom hours of instruction.

The PI System Administration for IT Professionals class is designed for the Information Technology Professional who is tasked with maintaining the PI System. This class will concentrate on the server side of the PI System, and it will provide you with a working knowledge of the tasks required to maintain a PI System and support the technical needs of its users. It covers the utilities provided with the PI System, as well as tag and system configuration. This class covers common management tasks, understanding the data flow, and troubleshooting procedures.

The class is four days long. Class starts at 8:30 a.m. and ends at approximately 4:30 p.m. Lunch breaks are at noon each day and last 60 minutes. When making travel arrangement for the class, please plan to remain on site to the completion of the final exercise. This should be no later than 4:30 on the last day of the class. This class provides 26 classroom hours of instruction.

The PI System Architecture, Planning, & Implementation class deals with the issues surrounding the implementation of a PI System. This class will concentrate on the server side of the PI System, and it will provide you with a working knowledge of the installation of both the Data Archive and AF Server. In this class each student will work to successfully install a High Availability PI System, from interface to visualization tools. You will spend valuable time discussing the components and their requirements so you can understand the best way the PI System will fit into your own Enterprise.

This course requires no previous knowledge of the PI System.

The class is four days long. Class starts at 8:30 a.m. and ends at 4:30 p.m. Lunch breaks are at 12 p.m. each day and last 60 minutes. When making travel arrangement for the class, please plan to remain on site to the completion of the final exercise. This should be no later than 4:30 on the last day of the class. This class provides 26 classroom hours of instruction.

Interested in developing web applications in various programming languages? Do you want to retrieve and manipulate time series data from the PI Data Archive, and asset/event-specific data from the Asset Framework?

In this course, you will learn the basics of PI Web API through hands-on exercises and final project. The course covers how to interact with PI Web API using HTTP requests and how to work with the PI Index Search Crawler. We will take a look at 2 example applications for PI Web API, one in JavaScript and the other in C#.

For the final project, get prepared to create your own application with the PI Web API that will be useful in your day-to-day operations!

Audience

This course is for developers to learn the different options and methods for working with the PI Web API. You will learn how to perform functions like making basic requests, using headers, search, and application development.

Prerequisites

This course does not teach programming, but rather how to use the PI Web API within your business. Developers should have basic knowledge of HTTP requests, as well as general programming skills in C# and/or JavaScript.

Software Requirements

Note: Individuals enrolled in this course will be required to use their own data structures. This allows each learner to leave the course with something immediately valuable in their enterprise. The requirements for completing the exercises and the final project are as follows:
  • PI System (running and collecting data with write access)
  •      PI Data Archive
         PI AF Server
  • PI Web API (admin access) and PI Index Search feature
  • Chrome and Fiddler

The RtReports Administration class is offered to students who want to learn how to design and generate web-based regulatory compliant reports using the RtReports applications.  It is intended for PI System Managers and advanced PI System users. It allows students to design report templates and to become Power Users and trainers on report generation in their company.

In this class, we prepare the students to install and manage the RtReports server. The focus of this class is to teach students the best practices in report design and configuration.  The class also presents the graphical interface that allows plant personnel to generate, comment, verify and approve reports.

This registration is intended for those that attended the TechCon hands on session of the OSIsoft User Conference 2016 in San Francisco. You should have received a voucher code to get access to these labs. If you would like to purchase access to these labs, select the "Virtual Learning Environment One Year Pass" or the "One Month" option from the registration page, which will also include all the labs from the TechCon 2016.

The Virtual Learning Lab Environment has a working PI System that is running and available for you to learn and test your skills. You can use it as you watch the videos on our YouTube channel or that you have downloaded from our download page. This is the same virtual environment that has been popular at our User Conferences and Seminars. In order to access the Virtual Environment you will need an SSO account, which is free, and you will also have to agree to the "OSIsoft Software License and Services Agreement".  Additionally, you must be the one registering for the subscription, you cannot be registered by somebody else in order for the subscription to work properly.  This is an ongoing open subscription, which will give you access to the Virtual Learning Environment for 45 days starting on the day you purchased the subscription. This subscription includes the following labs:

  • AF SDK Getting Started Guide
  • Asset Based PI Example Kits
  • Field Service Scripts
  • PI Programming (Japanese)
  • TechCon 2016: Administering and Managing the PI Server
  • TechCon 2016: Advanced PI Web API
  • TechCon 2016: Advanced Programming with PI AF SDK
  • TechCon 2016: Build Better Reports with PI SQL Framework
  • TechCon 2016: Build Web-Based Real-Time Dashboards
  • TechCon 2016: Collecting Data using the new PI Connector for UFL
  • TechCon 2016: Condition Based Maintenance with PI AF
  • TechCon 2016: Developing Cross-platform Mobile Apps Using Apache Cordova and PI Web API
  • TechCon 2016: Downtime Analysis with Event Frames
  • TechCon 2016: Operational Insights Using Real-time Dashboards and Self-service Business Intelligence
  • TechCon 2016: PI AF SDK for Beginners
  • TechCon 2016: PI Integrator for Business Analytics - Effortless Enterprise Reporting and Analytics Across the Entire PI System
  • TechCon 2016: PI Web API for Beginners
  • TechCon 2016: Using Forecast Data with the PI System
  • TechCon 2016: Using the PI System to Model and Improve Your Processes
  • UC 2017 Hands-on Lab: Adding Pattern Recognition Capabilities to Your PI System with Falkonry
  • UC 2017 Hands-on Lab: Administering and Managing the PI System
  • UC 2017 Hands-on Lab: Apply Data Science and Machine Learning to PI System Data for Predictive Analytics
  • UC 2017 Hands-on Lab: Build Applications for the PI System - Learn Basics of PI Developer Technologies
  • UC 2017 Hands-on Lab: Build Applications with PI Web API
  • UC 2017 Hands-on Lab: Building Reports from Your Event Frame Data
  • UC 2017 Hands-on Lab: Business Intelligence and Visual Analytics with PI System data
  • UC 2017 Hands-on Lab: Create and Operationalize Forecasting Models with the PI Infrastructure and Azure Machine Learning
  • UC 2017 Hands-on Lab: Data Ingress Application Development Using Web Based Technologies
  • UC 2017 Hands-on Lab: Develop Data Ingress Applications on Your Favorite Edge Devices Using the OSIsoft Message Format
  • UC 2017 Hands-on Lab: Developing Cross-Platform Mobile Apps Using Xamarin and PI Web API
  • UC 2017 Hands-on Lab: Discover the PI Connector for OPC UA
  • UC 2017 Hands-on Lab: Exploring your Data with PI Vision 2017
  • UC 2017 Hands-on Lab: Extending the PI Security Audit Tools to Meet the Needs of Your Environment
  • UC 2017 Hands-on Lab: Geospatial Analysis in Real Time Using PI Integrator for Esri ArcGIS 2017
  • UC 2017 Hands-on Lab: Getting Started with the AF SDK
  • UC 2017 Hands-on Lab: Incorporating CM Data Vibration, Infrared and Acoustic for CBM
  • UC 2017 Hands-on Lab: Locking Your PI System Without Locking Down Your PI System
  • UC 2017 Hands-on Lab: Power Generation - Fossil Performance Monitoring & Calculations
  • UC 2017 Hands-on Lab: Tips and Tricks with PI Builder and PI System Explorer
  • UC 2017 Hands-on Lab: Using the PI System to Detect and Track Important Events in your Assets and Processes
  • UC 2017 Hands-on Lab: Utilizing MS SQL Server Integration Services for Reporting PI Data via Email or Flat File

The Virtual Learning Lab Environment has a working PI System that is running and available for you to learn and test your skills. You can use it as you watch the videos on our YouTube channel or that you have downloaded from our download page. This is the same virtual environment that has been popular at our User Conferences and Seminars. In order to access the Virtual Environment you will need an SSO account, which is free, and you will also have to agree to the "OSIsoft Software License and Services Agreement".  Additionally, you must be the one registering for the subscription, you cannot be registered by somebody else in order for the subscription to work properly.  This is an ongoing open subscription, which will give you access to the Virtual Learning Environment for 375 days starting on the day you purchased the subscription. This subscription includes the following labs:

  • AF SDK Getting Started Guide
  • Asset Based PI Example Kits
  • Field Service Scripts
  • PI Programming (Japanese)
  • TechCon 2016: Administering and Managing the PI Server
  • TechCon 2016: Advanced PI Web API
  • TechCon 2016: Advanced Programming with PI AF SDK
  • TechCon 2016: Build Better Reports with PI SQL Framework
  • TechCon 2016: Build Web-Based Real-Time Dashboards
  • TechCon 2016: Collecting Data using the new PI Connector for UFL
  • TechCon 2016: Condition Based Maintenance with PI AF
  • TechCon 2016: Developing Cross-platform Mobile Apps Using Apache Cordova and PI Web API
  • TechCon 2016: Downtime Analysis with Event Frames
  • TechCon 2016: Operational Insights Using Real-time Dashboards and Self-service Business Intelligence
  • TechCon 2016: PI AF SDK for Beginners
  • TechCon 2016: PI Integrator for Business Analytics - Effortless Enterprise Reporting and Analytics Across the Entire PI System
  • TechCon 2016: PI Web API for Beginners
  • TechCon 2016: Using Forecast Data with the PI System
  • TechCon 2016: Using the PI System to Model and Improve Your Processes
  • UC 2017 Hands-on Lab: Adding Pattern Recognition Capabilities to Your PI System with Falkonry
  • UC 2017 Hands-on Lab: Administering and Managing the PI System
  • UC 2017 Hands-on Lab: Apply Data Science and Machine Learning to PI System Data for Predictive Analytics
  • UC 2017 Hands-on Lab: Build Applications for the PI System - Learn Basics of PI Developer Technologies
  • UC 2017 Hands-on Lab: Build Applications with PI Web API
  • UC 2017 Hands-on Lab: Building Reports from Your Event Frame Data
  • UC 2017 Hands-on Lab: Business Intelligence and Visual Analytics with PI System data
  • UC 2017 Hands-on Lab: Create and Operationalize Forecasting Models with the PI Infrastructure and Azure Machine Learning
  • UC 2017 Hands-on Lab: Data Ingress Application Development Using Web Based Technologies
  • UC 2017 Hands-on Lab: Develop Data Ingress Applications on Your Favorite Edge Devices Using the OSIsoft Message Format
  • UC 2017 Hands-on Lab: Developing Cross-Platform Mobile Apps Using Xamarin and PI Web API
  • UC 2017 Hands-on Lab: Discover the PI Connector for OPC UA
  • UC 2017 Hands-on Lab: Exploring your Data with PI Vision 2017
  • UC 2017 Hands-on Lab: Extending the PI Security Audit Tools to Meet the Needs of Your Environment
  • UC 2017 Hands-on Lab: Geospatial Analysis in Real Time Using PI Integrator for Esri ArcGIS 2017
  • UC 2017 Hands-on Lab: Getting Started with the AF SDK
  • UC 2017 Hands-on Lab: Incorporating CM Data Vibration, Infrared and Acoustic for CBM
  • UC 2017 Hands-on Lab: Locking Your PI System Without Locking Down Your PI System
  • UC 2017 Hands-on Lab: Power Generation - Fossil Performance Monitoring & Calculations
  • UC 2017 Hands-on Lab: Tips and Tricks with PI Builder and PI System Explorer
  • UC 2017 Hands-on Lab: Using the PI System to Detect and Track Important Events in your Assets and Processes
  • UC 2017 Hands-on Lab: Utilizing MS SQL Server Integration Services for Reporting PI Data via Email or Flat File

In our Visualizing PI System Data class, you will learn how to use components of the PI Visualization Suite to access and combine your process data with your enterprise data. Learn how to build visually compelling web based dashboards with PI Coresight. We will show you how to use PI ProcessBook, our tool for creating dynamic, interactive graphical displays featuring real-time PI System data, and PI DataLink, our add-in that allows user to access and deliver data to and from Microsoft Excel and create easy-to-read reports. Much of the class time is dedicated to hands-on activities. The class is three days long. Class will start promptly at 8:30 a.m. and is scheduled to run until 4:30 p.m. We will break for lunch for one hour each day. When making travel arrangement for the class, please plan to remain on site to the completion of the final exercise. This should be no later than 4:30 on the last day of the class. This class provides 20 classroom hours of instruction. No PI Server management, tag building, or VBA scripting is taught in this class.
In our Visualizing PI System Data class, you will learn how to use components of the PI Visualization Suite to access and combine your process data with your enterprise data. Learn how to build visually compelling web based dashboards with PI Coresight. We will show you how to use PI ProcessBook, our tool for creating dynamic, interactive graphical displays featuring real-time PI System data, and PI DataLink, our add-in that allows user to access and deliver data to and from Microsoft Excel and create easy-to-read reports. Much of the class time is dedicated to hands-on activities. The class is three days long. Class will start promptly at 8:30 a.m. and is scheduled to run until 4:30 p.m. We will break for lunch for one hour each day. When making travel arrangement for the class, please plan to remain on site to the completion of the final exercise. This should be no later than 4:30 on the last day of the class. This class provides 20 classroom hours of instruction. No PI Server management, tag building, or VBA scripting is taught in this class.
This subscription provides access only to the Virtual Learning Environment for the Configuring a Simple PI System Online Course. Please note that this is not a facilitated session of the online course and thus you will not have an instructor nor will you be able to submit a final project in order to earn a certificate of completion. This registration item is meant only for those who wish to work through the online course on their own.

If you'd like to participate in a facilitated session of this online course, please register for an upcoming sessions here. All students registered in a facilitated session will be given a code that allows them to access this VLE for free.
This subscription provides access only to the Virtual Learning Environment for the Implementing PI System High Availability Online Course. Please note that this is not a facilitated session of the online course and thus you will not have an instructor nor will you be able to submit a final project in order to earn a certificate of completion. This registration item is meant only for those who wish to work through the online course on their own.

If you'd like to participate in a facilitated session of this online course, please register for an upcoming sessions here. All students registered in a facilitated session will be given a code that allows them to access this VLE for free.