Training with Iverson classes
Training is not a commodity – all training centres are not the same. Iverson Associates Sdn Bhd is the most established, the most reputable, and the top professional IT training provider in Malaysia. With a large pool of experienced and certified trainers, state-of-the-art facilities, and well-designed courseware, Iverson offers superior training, a more impactful learning experience and highly effective results.
At Iverson, our focus is on providing high-quality IT training to corporate customers, meeting their learning needs and helping them to achieve their training objectives. Iverson has the flexibility to provide training solutions whether for a single individual or the largest corporation in a well-paced or accelerated training programme.
Our courses continue to evolve along with the fast-changing technological advances. Our instructor-led training services are available on a public and a private (in-company) basis. Some of our courses are also available as online, on demand, and hybrid training.
As a Microsoft Dynamics 365 Business Central developer, you’re responsible for designing, developing, testing, and maintaining solutions based on Dynamics 365 Business Central. In this role, you develop apps that extend Business Central, including customizing or adding extra functionality. You also integrate Business Central with other applications, such as Microsoft Power Platform products. Plus, you need to ensure that data remains current during an upgrade process.
As a Business Central developer, you’re responsible for troubleshooting and debugging issues in the system. This may involve:
- Identifying the root cause of a problem.
- Fixing bugs.
- Testing the solution to ensure that it works as expected.
You may be required to optimize the performance of the system by:
- Identifying bottlenecks.
- Improving code quality.
You must have applied knowledge of Business Central and the application language (AL), the development environment, and other tools to develop extensions for it. You need some knowledge of how to install and upgrade the system. You should also understand:
- Industry terminology.
- The Business Central role in relationship to Microsoft 365 and Dynamics 365.
As a developer, you should have knowledge of:
- AppSource, Business Central–related technologies, frameworks, and services to build solutions.
- Technologies for application lifecycle management (ALM), including source control management (SCM) and continuous integration and continuous delivery (CI/CD).
Additional Info
- Certification Course & Certificate
- Course Code MB-820T00
- Price RM3500
- Exam Price Exclude
- Exam Code -
- Duration 5 Day
- Principals Microsoft
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Schedule
11-15 March 2024
24-28 June 2024
14-18 October 2024
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Audience
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Prerequisities
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At Course Completion
- Module 1 Title Introduction to the capabilities of Microsoft Dynamics 365 Business Central
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- Module 2 Title Customize Microsoft Dynamics 365 Business Central
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- Module 3 Title Prepare for an easy application upgrade experience in Business Central
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- Module 4 Title Administer Dynamics 365 Business Central online
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- Module 5 Title Introduction to the development environment for Dynamics 365 Business Central
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- Module 6 Title Debug and deploy your extension in Dynamics 365 Business Central
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- Module 7 Title Work with pages in Dynamics 365 Business Central
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- Module 8 Title Design the data model of a report in Dynamics 365 Business Central
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- Module 9 Title Work with codeunits in Dynamics 365 Business Central
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- Module 10 Title Work with XMLports in Dynamics 365 Business Central
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- Module 11 Title Work with entitlements and permission sets in Dynamics 365 Business Central
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- Module 12 Title Work with queries in Dynamics 365 Business Central
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- Module 13 Title Build control add-in objects in Dynamics 365 Business Central
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- Module 14 Title Customize the UI experience in Dynamics 365 Business Central
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- Module 15 Title Identify functional table types and characteristics in Dynamics 365 Business Central
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- Module 16 Title Introduction to the basics of AL programming in Dynamics 365 Business Central
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- Module 17 Title Learn about application performance and monitoring in Business Central
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- Module 18 Title Work with source control using Git in Visual Studio Code for Business Central
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- Module 19 Title Use Application Lifecycle Management for Business Central
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- Module 20 Title Introduction to test automation in Business Central
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- Module 21 Title Use Power Automate with Business Central
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- Module 22 Title Access REST services from within Dynamics 365 Business Central
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- Module 23 Title Use Azure Functions with Dynamics 365 Business Central
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- Module 24 Title Work with web services in Dynamics 365 Business Central
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- Module 25 Title Work with the API in Dynamics 365 Business Central
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This is a single day Instructor Lead Course designed to give the learners instruction on the SQL dedicated and serverless Spark pools and providing instruction of data wrangling and the ELT process using Synapse Pipelines which is very similar to those familiar with Azure Data Factory (ADF) to move data into the Synapse dedicated pool database.
Additional Info
- Certification Course & Certificate
- Course Code DP-3012
- Price RM1400
- Exam Price Exclude
- Exam Code -
- Duration 1 Day
- Principals Microsoft
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Schedule
10 May 2024
22 Jul 2024
20 Sep 2024
25 Nov 2024
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Audience
The Audience should have familiarity with notebooks that use different languages and a Spark engine, such as Databricks, Jupyter Notebooks, Zeppelin notebooks and more. They should also have some experience with SQL, Python, and Azure tools, such as Data Factory.
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At Course Completion
- Module 1 Title Introduction to Azure Synapse Analytics
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- Module 2 Title Use Azure Synapse serverless SQL pool to query files in a data lake
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- Module 3 Title Analyze data with Apache Spark in Azure Synapse Analytics
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- Module 4 Title Use Delta Lake in Azure Synapse Analytics
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- Module 5 Title Analyze data in a relational data warehouse
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- Module 6 Title Build a data pipeline in Azure Synapse Analytics
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Learn how to harness the power of Apache Spark and powerful clusters running on the Azure Databricks platform to run data analytics workloads in a data lakehouse.
Additional Info
- Certification Course & Certificate
- Course Code DP-3011T00
- Price RM1400
- Exam Price Exclude
- Exam Code -
- Duration 1 Day
- Principals Microsoft
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Schedule
Available Upon Requested
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Audience
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Prerequisities
None
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At Course Completion
- Module 1 Title Explore Azure Databricks
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Module 1 Content
Azure Databricks is a cloud service that provides a scalable platform for data analytics using Apache Spark.
- Module 2 Title Use Apache Spark in Azure Databricks
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Module 2 Content
Azure Databricks is built on Apache Spark and enables data engineers and analysts to run Spark jobs to transform, analyze and visualize data at scale.
- Module 3 Title Use Delta Lake in Azure Databricks
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Module 3 Content
Delta Lake is an open source relational storage area for Spark that you can use to implement a data lakehouse architecture in Azure Databricks.
- Module 4 Title Use SQL Warehouses in Azure Databricks
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Module 4 Content
Azure Databricks provides SQL Warehouses that enable data analysts to work with data using familiar relational SQL queries.
- Module 5 Title Run Azure Databricks Notebooks with Azure Data Factory
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Using pipelines in Azure Data Factory to run notebooks in Azure Databricks enables you to automate data engineering processes at cloud scale.
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Transform and load data, define semantic model relationships and calculations, create interactive visuals, and distribute reports using Power BI.
Additional Info
- Certification Course & Certificate
- Course Code DP-605T00
- Price RM1400
- Exam Price Exclude
- Exam Code -
- Duration 1 Day
- Principals Microsoft
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Schedule
27 May 2024
22 Jul 2024
27 Sep 2024
29 Nov 2024
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Audience
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Prerequisities
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At Course Completion
- Module 1 Title Get data in Power BI
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Module 1 Content
You'll learn how to retrieve data from a variety of data sources, including Microsoft Excel, relational databases, and NoSQL data stores. You'll also learn how to improve performance while retrieving data.
- Module 2 Title Clean, transform, and load data in Power BI
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Module 2 Content
Power Query has an incredible number of features that are dedicated to helping you clean and prepare your data for analysis. You'll learn how to simplify a complicated model, change data types, rename objects, and pivot data. You'll also learn how to profile columns so that you know which columns have the valuable data that you’re seeking for deeper analytics.
- Module 3 Title Design a semantic model in Power BI
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Module 3 Content
The process of creating a complicated semantic model in Power BI is straightforward. If your data is coming in from more than one transactional system, before you know it, you can have dozens of tables that you have to work with. Building a great semantic model is about simplifying the disarray. A star schema is one way to simplify a semantic model, and you learn about the terminology and implementation of them in this module. You will also learn about why choosing the correct data granularity is important for performance and usability of your Power BI reports. Finally, you learn about improving performance with your Power BI semantic models.
- Module 4 Title Add measures to Power BI Desktop models
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Module 4 Content
In this module, you'll learn how to work with implicit and explicit measures. You'll start by creating simple measures, which summarize a single column or table. Then, you'll create more complex measures based on other measures in the model. Additionally, you'll learn about the similarities of, and differences between, a calculated column and a measure.
- Module 5 Title Add calculated tables and columns to Power BI Desktop models
- Module 5 Content By the end of this module, you'll be able to add calculated tables and calculated columns to your semantic model. You'll also be able to describe row context, which is used to evaluated calculated column formulas. Because it's possible to add columns to a table using Power Query, you'll also learn when it's best to create calculated columns instead of Power Query custom columns.
- Module 6 Title Design Power BI reports
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Module 6 Content
Because Power BI includes more than 30 core visuals, it can be challenging for a beginner to select the correct visual. This module will guide you through selecting the most appropriate visual type to meet your design and report layout requirements.
- Module 7 Title Configure Power BI report filters
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Module 7 Content
Report filtering is a complex topic because many techniques are available for filtering a Microsoft Power BI report. However, with complexity comes control, allowing you to design reports that meet requirements and expectations. Some filtering techniques apply at design time, while others are relevant at report consumption time (in reading view). What matters is that your report design allows report consumers to intuitively narrow down to the data points that interest them.
- Module 8 Title Create and manage workspaces in Power BI
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Learn how to navigate the Power BI service, create and manage workspaces and related items, and distribute reports to users.
- Module 9 Title Manage semantic models in Power BI
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With Microsoft Power BI, you can use a single semantic model to build many reports. Reduce your administrative overhead even more with scheduled semantic model refreshes and resolving connectivity errors.
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This course covers methods and practices for implementing and managing enterprise-scale data analytics solutions using Microsoft Fabric. Students will build on existing analytics experience and will learn how to use Microsoft Fabric components, including lakehouses, data warehouses, notebooks, dataflows, data pipelines, and semantic models, to create and deploy analytics assets.
This course is best suited for those who have the PL-300 certification or similar expertise in using Power BI for data transformation, modeling, visualization, and sharing. Also, learners should have prior experience in building and deploying data analytics solutions at the enterprise level.
Additional Info
- Certification Course & Certificate
- Course Code DP-600T00
- Price RM3000
- Exam Price Exclude
- Exam Code -
- Duration 4 Day
- Principals Microsoft
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Schedule
Available Upon Requested
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Audience
The primary audience for this course is data professionals with experience in data modeling, extraction, and analytics. DP-600 is designed for professionals who want to use Microsoft Fabric to create and deploy enterprise-scale data analytics solutions.
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Prerequisities
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At Course Completion
- Module 1 Title Ingest Data with Dataflows Gen2 in Microsoft Fabric
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Module 1 Content
- Module 2 Title Ingest data with Spark and Microsoft Fabric notebooks
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- Module 3 Title Use Data Factory pipelines in Microsoft Fabric
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Module 3 Content
- Module 4 Title Get started with lakehouses in Microsoft Fabric
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- Module 5 Title Organize a Fabric lakehouse using medallion architecture design
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- Module 6 Title Use Apache Spark in Microsoft Fabric
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- Module 7 Title Work with Delta Lake tables in Microsoft Fabric
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- Module 8 Title Get started with data warehouses in Microsoft Fabric
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- Module 9 Title Load data into a Microsoft Fabric data warehouse
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- Module 10 Title Query a data warehouse in Microsoft Fabric
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- Module 11 Title Monitor a Microsoft Fabric data warehouse
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- Module 12 Title Understand scalability in Power BI
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- Module 13 Title Create Power BI model relationships
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- Module 14 Title Use tools to optimize Power BI performance
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- Module 15 Title Enforce Power BI model security
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This 1-day course teaches IT professionals who have experience with SAP solutions how to use Azure resources that include setting up and configuration of SAP environments in Azure for virtual machines, virtual networks, storage accounts, and Microsoft Entra ID. Learners will also explore backup, disaster recovery, and monitoring of SAP systems in Azure. Learn through the application of concepts, scenarios, and procedures through hands-on labs using Azure Center for SAP solutions.
Additional Info
- Certification Course & Certificate
- Course Code AZ-1006T00
- Price RM1400
- Exam Price Exclude
- Exam Code -
- Duration 1 Day
- Principals Microsoft
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Schedule
31 May 2024
29 Jul 2024
30 Sep 2024
25 Nov 2024
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Audience
Administrators of SAP systems that run on Azure should take this course. Before taking this course, candidates should pass the Azure Administrator (AZ-104) or Azure Infrastructure Solutions (AZ-305) exam and have completed training in SAP HANA or SAP NetWeaver
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Prerequisities
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At Course Completion
- Module 1 Title Modernize and explore Azure for SAP workloads
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- Module 2 Title Modernize and identify SAP-certified configurations
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- Module 3 Title Modernize and examine SAP S/4HANA on Azure Virtual Machines
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- Module 4 Title Modernize and explore Azure for SAP compute
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- Module 5 Title Modernize and explore Azure network for SAP
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- Module 6 Title Modernize and explore Azure for SAP storage
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- Module 7 Title Modernize and explore identity services for SAP on Azure
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- Module 8 Title Modernize and explore governance and manageability for SAP on Azure
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- Module 9 Title Modernize and deploy single-instance implementations of SAP on Azure (2-tier and 3-tier)
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- Module 10 Title Modernize and implement high availability in SAP NetWeaver with AnyDB on Azure Virtual Machines
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- Module 11 Title Modernize and explore Azure Center for SAP solutions
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- Module 12 Title Modernize and implement high availability for SAP workloads in Azure
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- Module 13 Title Modernize and implement disaster recovery for SAP workloads in Azure
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- Module 14 Title Modernize, perform backups and restores for SAP workloads on Azure
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- Module 15 Title Modernize, use the planning and deployment checklist for SAP workloads on Azure
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- Module 16 Title Modernize and explore monitoring requirements of Azure for SAP workloads
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Discover how SELinux and SE Booleans work to create a robust defense system and safeguard your system against potential threats and unauthorized access. In this session, we'll also explore the common SELinux errors and the solutions to address them!
Register Now through here.
Amazon SageMaker Studio helps data scientists prepare, build, train, deploy, and monitor machine learning (ML) models quickly by bringing together a broad set of capabilities purpose-built for ML. This course prepares experienced data scientists to use the tools that are part of SageMaker Studio to improve productivity at every step of the ML lifecycle.
Additional Info
- Certification Course only
- Course Code AWS-SSDS
- Price 5400
- Exam Price Exclude
- Duration 3 Day
- Principals Amazon Web Services (AWS)
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Schedule
Available Upon Request
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Audience
This course is intended for:
• Experienced data scientists who are proficient in ML and deep learning fundamentals. Relevant experience includes using ML frameworks, Python programming, and the process of building, training, tuning, and deploying models.
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Prerequisities
We recommend that all students complete the following AWS course prior to attending this course:
• AWS Tech Essentials (1–day AWS instructor led course)
We recommend students who are not experienced data scientists complete the following two courses followed by 1-year on-the-job experience building models prior to taking this course:
• The Machine Learning Pipeline on AWS (4–day AWS instructor led course)
• Deep Learning on AWS (1–day AWS instructor led course) -
At Course Completion
In this course, you will learn to:
• Accelerate the preparation, building, training, deployment, and monitoring of ML solutions by using Amazon SageMaker Studio. - Module 1 Title Amazon SageMaker Setup and Navigation
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Module 1 Content
• Launch SageMaker Studio from the AWS Service Catalog.
• Navigate the SageMaker Studio UI.
• Demo 1: SageMaker UI Walkthrough
• Lab 1: Launch SageMaker Studio from AWS Service Catalog - Module 2 Title Data Processing
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Module 2 Content
• Use Amazon SageMaker Studio to collect, clean, visualize, analyze, and transform data.
• Set up a repeatable process for data processing.
• Use SageMaker to validate that collected data is ML ready.
• Detect bias in collected data and estimate baseline model accuracy.
• Lab 2: Analyze and Prepare Data Using SageMaker Data Wrangler
• Lab 3: Analyze and Prepare Data at Scale Using Amazon EMR
• Lab 4: Data Processing Using SageMaker Processing and the SageMaker Python SDK
• Lab 5: Feature Engineering Using SageMaker Feature Store - Module 3 Title Model Development
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Module 3 Content
• Use Amazon SageMaker Studio to develop, tune, and evaluate an ML model against business objectives and fairness and explainability best practices.
• Fine-tune ML models using automatic hyperparameter optimization capability.
• Use SageMaker Debugger to surface issues during model development.
• Demo 2: Autopilot
• Lab 6: Track Iterations of Training and Tuning Models Using SageMaker Experiments
• Lab 7: Analyze, Detect, and Set Alerts Using SageMaker Debugger
• Lab 8: Identify Bias Using SageMaker Clarify - Module 4 Title Deployment and Inference
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• Use Model Registry to create a model group; register, view, and manage model versions; modify model approval status; and deploy a model.
• Design and implement a deployment solution that meets inference use case requirements.
• Create, automate, and manage end-to-end ML workflows using Amazon SageMaker Pipelines.
• Lab 9: Inferencing with SageMaker Studio
• Lab 10: Using SageMaker Pipelines and the SageMaker Model Registry with SageMaker Studio - Module 5 Title Monitoring
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Module 5 Content
• Configure a SageMaker Model Monitor solution to detect issues and initiate alerts for changes in data quality, model quality, bias drift, and feature attribution (explainability) drift.
• Create a monitoring schedule with a predefined interval.
• Demo 3: Model Monitoring - Module 6 Title Managing SageMaker Studio Resources and Updates
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Module 6 Content
• List resources that accrue charges.
• Recall when to shut down instances.
• Explain how to shut down instances, notebooks, terminals, and kernels.
• Understand the process to update SageMaker Studio. -
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In this course, you will build a data visualization solution using Amazon QuickSight. QuickSight allows everyone in your organization to understand your data by exploring through interactive dashboards, asking questions in natural language, or automatically looking for patterns and outliers powered by machine learning. This course focuses on connecting to data sources, building visuals, designing interactivity, and creating calculations. You will learn how to apply security best practices to your analyses. You will also explore the machine learning capabilities built into QuickSight.
Additional Info
- Certification Course only
- Course Code AWS-QuickSight
- Price 3600
- Exam Price Exclude
- Duration 2 Day
- Principals Amazon Web Services (AWS)
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Schedule
Available Upon Request
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Audience
This course is intended for:
• Data and business analysts who build and manage business analytics dashboards
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Prerequisities
Students with a minimum one-year experience authoring visual analytics will benefit from this course. We
recommend that attendees of this course have:
• Completed Data Analytics Fundamentals
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At Course Completion
In this course, you will learn to:
• Explain the benefits, use cases, and key features of Amazon QuickSight
• Design, create, and customize QuickSight dashboards to visualize data and extract business insights from it
• Select and configure appropriate visualization types to identify, explore, and drill down on business insights
• Describe how to use one-click embed to incorporate analytics into applications
• Connect, transform, and prepare data for dashboarding consumption
• Perform advanced data calculations on QuickSight analyses
• Describe the security mechanisms available for Amazon QuickSight
• Apply fine-grained access control to a dataset
• Implement machine learning on data sets for anomaly detection and forecasting
• Explain the benefits and key features of QuickSight Q to enhance the dashboard user experience
- Module 1 Title Introduction and Overview of Amazon QuickSight
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Module 1 Content
• Introducing Amazon QuickSight
• Why use Amazon QuickSight for data visualization - Module 2 Title Getting Started with Amazon QuickSight
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• Interacting with Amazon QuickSight
• Loading data into Amazon QuickSight
• Visualizing data in Amazon QuickSight
• Demonstration: Walkthrough of Amazon QuickSight interface
• Practice Lab: Create your first dashboard - Module 3 Title Enhancing and Adding Interactivity to Your Dashboard
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• Enhancing your dashboard
• Demonstration: Optimize the size, layout, and aesthetics of a dashboard
• Enhancing visualizations with interactivity
• Demonstration: Walkthrough of dashboard interactivity features
• Practice Lab: Enhancing your dashboard - Module 4 Title Preparing Datasets for Analysis
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• Working with datasets
• Demonstration: Transform your datasets for analysis
• Practice Lab: Preparing data for analysis - Module 5 Title Performing Advanced Data Calculations
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• Transform data using advanced calculations
• Practice Lab: Performing advanced data calculations
Activity: Designing a Visual Analytics Solution - Module 6 Title Overview of Amazon QuickSight Security and Access Control
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• Overview of Amazon QuickSight security and access control
• Dataset access control in Amazon QuickSight
• Lab: Implementing access control in Amazon QuickSight visualizations - Module 7 Title Exploring machine learning capabilities
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• Introducing Machine Learning (ML) insights
• Natural Language Query with QuickSight Q
• Demonstration: Using QuickSight Q
• Lab: Using machine learning for anomaly detection and forecasting -
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Designed to learn how to set up scalability, redundancy and security configurations. You will learn advance features to optimize management of your app and desktop images by building and combining App Layers and Workspace Environment Management, which can improve logon times, centralize user settings management, optimize the performance of machines running the Virtual Delivery Agent (VDA).
In the advanced troubleshooting section, you will learn techniques to investigate many of the common issues that can affect environment health. You’ll leave this course with a good understanding of how to manage more complex solutions such as multizone environments spanning multiple locations with configurations around StoreFront, the Delivery Controllers, and HDX.
Additional Info
- Certification Course & Certificate
- Course Code CWS-322
- Price RM9000
- Exam Price Include
- Exam Code 1Y1-312
- Duration 5 Days
- Principals Citrix
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Schedule
11-15 Mar 2024
27-31 May 2024
5-9 Aug 2024
14-18 Oct 2024
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Audience
Built for experienced IT Professionals familiar with Citrix Virtual Apps and Desktops 7 in an on-premises environment or Citrix Cloud looking to expand their Citrix Virtual Apps and Desktops skills to an advanced level. Potential students include administrators or engineers responsible for the Citrix Apps and Desktop 7 Site.
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Prerequisities
Strong foundational knowledge of Citrix Virtual Apps and Desktops 7. Citrix recommends students prepare for this course by taking the following course: CWS-215 Citrix Virtual Apps and Desktops 7 Administration On-Premises and in Citrix Cloud.
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At Course Completion
- How to implement advanced administration concepts such as backups, disaster recovery, scalability and redundancy consideration for a Citrix Virtual Apps and Desktop 7 Site
- How to configure Workspace Environment Management to improve the end user environment and virtual resource consumption
- App Layering skills such as how to create and administer OS, platform, application, elastic and user layers
- Module 1 Title Implementing Redundancy and Scalability
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Module 1 Content
- StoreFront and Citrix Gateway
- Site Infrastructure
- Machines Running the Virtual Delivery Agent
- Module 2 Title Managing a Virtual Apps and Desktops Environment with Multiple Locations Zones
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Module 2 Content
- VDA Registration in a Multi-Zone Environment
- Zone Preference
- Optimal Gateway Routing and Zones
- Managing StoreFront Store Subscriptions in a Multi- Location Environment
- StoreFront and Citrix ADC Branding
- Module 3 Title Implementing Backups and Disaster Recovery
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Module 3 Content
- Backups
- Disaster Recovery Considerations
- Disaster Recovery Process
- Module 4 Title Implementing Advanced Authentication Methods
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- Multi-factor Authentication - RADIUS & OTP
- Multi-factor Authentication - Smart Card Authentication
- Federated Authentication - ADFS, SAML, and FAS
- Module 5 Title Improving App and Data Security
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Module 5 Content
- Introduction to Application Security
- Preventing Jailbreak Attacks
- Minimizing the Impact of Attacks
- Module 6 Title Securing Machines Running the Virtual Delivery Agent
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Module 6 Content
- TLS to VDA Encryption
- GPOs and Citrix Policies
- Image Management
- Module 7 Title Introduction to Troubleshooting
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Module 7 Content
- Troubleshooting Methodology Process (Standard Slide)
- Resource Tools and Utilities
- Introduction to PowerShell
- Module 8 Title Troubleshooting Access Issues
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Module 8 Content
- Troubleshooting StoreFront
- Troubleshooting Citrix Gateway
- Module 9 Title Troubleshooting Delivery Controller Issues
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- Validating FMA Services
- Module 10 Title Troubleshooting VDA Registration Issues
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- Troubleshooting VDA Registration
- Module 11 Title Troubleshooting HDX Connection Issues
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- Troubleshooting HDX Connections
- Module 12 Title Introduction to App Layering
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- App Layering Introduction
- Architecture and How it Works
- Module 13 Title Creating an OS Layer
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- The OS Layer
- Module 14 Title Creating a Platform Layer
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- The Platform Layer
- Module 15 Title Creating App Layers
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- The App Layers
- Module 16 Title Creating Elastic App and User Layers
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- Elastic App Layering
- User Layers
- Module 17 Title Deploying a Layered Image using Citrix Virtual Apps and Desktops
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- Using Templates in App Layering
- Using Layered Images in a Citrix Virtual Apps and Desktops Site
- Module 18 Title Exploring Layer Priority
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- Layer Priority
- Module 19 Title Maintaining an App Layering Environment
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- Updating Layers
- Maintaining and Updating the App Layering Environment
- Common App Layering Considerations and Additional Resources
- Module 20 Title Introduction to Workspace Environment Management (WEM)
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- Workspace Environment Management (WEM) Introduction
- WEM Administration
- Module 21 Title Using WEM to Centralize Environment Management
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- Managing User Resources with WEM
- Managing Profiles with WEM
- Managing Endpoints with the WEM Transformer Feature
- Module 22 Title Using WEM for Performance Optimization
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- Optimizing Machine Performance with WEM
- Optimizing User Experience with WEM
- Module 23 Title Using WEM to Secure Environments
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- WEM Security Features
- Module 24 Title Migrating and Upgrading WEM
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- Migrating to WEM
- Upgrading a WEM Deployment
- WEM Multi-Location Considerations
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PMP, Project Management Professional (PMP), CAPM, Certified Associate in Project Management (CAPM) are registered marks of the Project Management Institute, Inc.