This self-paced training provides a high-level overview of Machine Learning for Operations experts, and TrendMiner’s Machine Learning Hub (MLHub). First you will receive an overview of what you can expect from democratized machine learning and its value for an open-source community, in data collection, modelling, sourcing, dashboarding and reporting. This is followed by a short series of generic application demonstrations using TrendMiner’s MLHub and a short series of more specific operational applications. By the end of this course, you will be able to manage, understand and apply TrendMiner’s MLHub.
This course also allows you to earn a badge and be a Software AG Certified TrendMiner MLHub Associate.
Learning Objectives
At the end of this course, learners will be able to:
- Understand the wider applicability of machine learning in industrial operations
- Navigate around TrendMiner's MLHub
- Understand what MLHub can be used for
- Understand how to apply MLHub
Software Versions Covered
- TrendMiner (MLHub) version R2022.R1 onwards
Intended Audience
- This course is intended for those starting out with TrendMiner’s MLHub
- Process engineers, process operators, data analysts
Skills Pre-requisites
- Basic understanding of data analytics
- It would be beneficial to have access to the TrendMiner platform
Content Topics
- Introducing TrendMiner’s MLHub
- Open-source community
- Data collection
- Modelling
- Sourcing
- Dashboarding and reporting
- Generic use case applications of MLHub
- Soft Sensing
- Predictive maintenance
- Process Data Classification
- Specific operational applications of MLHub
- Water demand forecasting with Machine Learning
- Anomaly Detection in the Performance of Energy Grids
Delivery Method
- Basic courses are delivered as Self-Paced Course (pre-recorded
Instructor presentations, product demonstrations, and hands-on
exercises, as applicable)
Self-Paced Duration
- Minimum of 85 minutes
This self-paced training provides a jump-start into the basic operation of ContextHub and its relationships with TrendHub and DashHub. First, you will receive a brief introduction of TrendMiner, followed by an orientation of ContextHub. Short videos and demonstrations of key basic tools will provide you with fundamental knowledge of the ContextHub platform, so by the end of the course, you will be able to create and manage meaningful context to your data.
This course also allows you to earn a badge and be a Software AG Certified TrendMiner ContextHub Associate.
Learning Objectives
At the end of this course, learners will be able to:
- Navigate around TrendMiner and ContextHub
- Explain the purpose and benefits of adding context to your data
- Create meaningful context items and context views
- Understand the basic relationships between ContextHub, DashHub and TrendHub
Software Versions Covered
- TrendMiner (ContextHub, TrendHub, DashHub) version R2020.R2 onwards
Intended Audience
- For those starting out with ContextHub and TrendMiner
- Process engineers, process operators, data analysts
Skills Pre-requisites
- Basic Computer and Internet Skills
Content Topics
- What is TrendMiner
- ContextHub Orientation
- What is a Context Item
- What is a Context View
- ContextHub & TrendHub integration
- ContextHub & DashBoard integration
Delivery Method
- Basic courses are delivered as Self-Paced Course (pre-recorded Instructor presentations, product demonstrations, and hands-on exercises, as applicable)
Self-Paced Duration
- Minimum of 120 minutes
This self-paced training provides a jump-start into the basic operation of TrendHub and its relationships with ContextHub and DashHub. First, you will receive a brief introduction of TrendMiner, followed by an orientation of TrendHub. Short videos and demonstrations of key basic tools will provide you with fundamental knowledge of the TrendHub platform, so by the end of the course, you will be able to retrieve, prepare, search, analyze and monitor your process data .
This course also allows you to earn a badge and be a Software AG Certified TrendMiner TrendHub Associate.
Learning Objectives
At the end of this course, learners will be able to:
- Navigate around TrendMiner and TrendHub
- Retrieve, prepare and manage your process data In TrendHub
- Search through your data, conduct an impact analysis and test hypotheses
- Diagnose process problems
- Monitor your processes and be alerted to process problems when they occur
- Understand basic TrendHub integration with ContextHub and DashHub
Software Versions Covered
- TrendMiner (ContextHub, TrendHub, DashHub) version R2022.R1.0 onwards
Intended Audience
- For those starting out with TrendMiner
- Process engineers, process operators, data analysts
Skills Pre-requisites
- Basic understanding of data analytics
- It would be beneficial to have access to the TrendMiner platform
Content topics
- Introduction to TrendMiner
- TrendHub Orientation
- Description of Data
- Discovery of Process Problems
- Diagnosis of Process Problems
- Monitoring Processes
- TrendHub, ContextHub and DashHub Orientation
Delivery Method
- Basic courses are delivered as Self-Paced Course (pre-recorded Instructor presentations, product demonstrations, and hands-on exercises, as applicable)
Self-paced duration
- Minimum of 120 minutes
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TrendMiner's ContextHub is a detail factory, repository and search engine for Context Items that can be neatly aligned to both assets and processes. ContextHub is a platform in its own right and can be configured to requirements, so that context itself becomes a powerful new dataset that can be both visualized and analyzed. Events can be automatically captured, manually entered or easily imported from external business solutions, such as; Laboratory Information Management Systems, Maintenance Management Systems and OEE systems, thus maximizing the flexibility of contextual information crucial to today's self-service visual analytics.
This self-paced course enables you to become familiar with advanced workings of ContextHub with relation to both DashHub and TrendHub and enables you to become self-sufficient in its management.
The TrendMiner: ContextHub Essentials course is based on several parts: Basic, Core and Electives (to come).
Learning Objectives
At the end of this course, learners will be able to:
- Manage advanced navigation around TrendMiner and ContextHub
- Understand the Asset structure used in TrendMiner
- Manage context items, context views and work advanced operations of Grid, Gantt and live modes
- Understand the advanced relationships between ContextHub, DashHub and TrendHub
Software Versions Covered
- TrendMiner Versions 2021.R2 and onwards
Intended Audience
- This course is intended for those with a basic understanding of data analytics.
- Process Engineers, Process Operators, Data Analysts
Skills Pre-requisites
- Basic Computing Skills
Content Topics
- Advanced ContextHub Concepts and Asset Structure
- Context Item Structure
- Context View Structure
- ContextHub Modes
- Advanced ContextHub & DashHub Integration
- Advanced ContextHub & TrendHub Integration
Delivery Method
- Essentials courses are delivered as Self-Paced Course (pre-recorded Instructor presentations, product demonstrations, and hands-on exercises, as applicable)
- Please Note: Should you prefer to complete this course with a live instructor, please contact your Software AG Education Services for more details.
Self-Paced Duration
- Minimum of 5 hours
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What To Expect
TrendMiner's TrendHub will empower operators, engineers and other domain experts to visualize historical and real-time process data and dive into the data to analyse, diagnose & predict production or equipment issues, based on the well-known and powerful capabilities of the TrendMiner analytics engine.
The purpose of this self-paced course is to enable you to become familiar with advanced workings of TrendHub with relation to both DashHub and ContextHub, and enable you to become self-sufficient in its management.
The TrendMiner TrendHub Essentials course is based on several parts: Basic, Core and Electives (to come).
Learning Objectives
At the end of this course, you will be able to:
- Manage advanced navigation around TrendMiner and TrendHub
- Understand the Tag Builder and its different options
- Understand advanced search techniques
- Learn how to cross-correlate data, use fingerprints and the fingerprint deviation tool.
- Learn how to monitor processes and predict process issues
- Understand advanced integration of TrendHub with DashHub and ContextHub
Software Versions Covered
- TrendMiner Versions 2022.R1 and onwards
Intended Audience
- This course is intended for those with a basic understanding of data analytics.
- Process Engineers, Process Operators, Data Analysts
Skills Pre-requisites
- Basic Computing Skills
Content Topics
- Advanced Description
- Advanced Discovery
- Advanced Diagnosis
- Monitoring & Prediction
- Orientation: TrendHub & ContextHub Integration
- Orientation: TrendHub & DashHub Integration
Delivery Method
- Essentials courses are delivered as Self-Paced Training (pre-recorded Instructor presentations, product demonstrations, and hands-on exercises, as applicable)
- Please Note: Should you prefer to complete this course with a live instructor, please contact your Software AG Education Services for more details.
Self-paced Duration
- Minimum of 5 hours