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Applying Professional Scrum™ for Software Development
Applying Professional Scrum™ for Software Development (APS-SD) is a 3-day hands-on course where students experience how to deliver quality software using Scrum with Agile and DevOps practices. Students work in Scrum Teams over a series of Sprints, creating code on a realistic software system to learn Scrum while using Scrum. The course includes a free attempt at the globally recognized Professional Scrum Developer I certification exam (PSD I).
Over the 3 days*, students gain a real-world view of what it is like to build software with Scrum. They collaborate over a series of Sprints applying modern engineering practices, and using the Scrum framework to manage complexity. The key focus of the class is on how to develop and deliver increments of releasable functionality. Students will experience real-world challenges and issues, and through a series of Sprints will learn how to continuously improve the way they perform their work.
26. 1. 2022
Feature Engineering and Data Preparation for Analytics
This course introduces programming techniques to craft and feature engineer meaningful inputs to improve predictive modeling performance. In addition, this course provides strategies to preemptively spot and avoid common pitfalls that compromise the integrity of the data being used to build a predictive model. This course relies heavily on SAS programming techniques to accomplish the desired objectives.
The self-study e-learning includes:
- Annotatable course notes in PDF format.
- Virtual Lab time to practice.
27. 1. 2023
VMware vRealize Operations for Operators [v8.6]
This two-day course is for users who are responsible for day-to-day management of VMware vRealize® Operations™. This course explains policies, capacity concepts, and workload optimization with real-world use cases. This course covers application monitoring, troubleshooting using workbench, alerts, predefined dashboards, and explains how to manage compliance and configurations.
Note: If you have taken the VMware vRealize Operations: Install, Configure, Manage course, duplicate content makes this course unsuitable for you.
28. 5. 2024
SAS(R) Infrastructure for Risk Management: Workshop
This course covers the use of SAS Infrastructure Management. Specifically, you learn to navigate the interface, view the job flows, and create job flows using custom code. More advanced topics are discussed, such as creating a federated area, deploying a content release, and backing up the instances created with the system. In addition, the course covers topics such as live ETL, REST, data object pooling, and partitioning.
27. 1. 2023
Accelerated Test Methods for Ground and Aerospace Vehicle Development
Engineers and managers involved with product development are continually challenged to reduce time to market, minimize warranty costs, and increase product quality. This results in less time for testing, which means the need for effective accelerated test procedures has never been greater.
Accelerating your testing program sounds great, but how do you begin? This course starts by taking a look at statistical models for reliability testing. It looks specifically at how sample size and testing timeframe affect what you’re able to do versus what you’d ideally do with more time and money. It also explains the benefits, limitations, processes, and applications of several proven accelerated test methods, including accelerated reliability, step stress, FSLT (Full System Life Test), FMVT® (Failure Mode Verification Testing), HALT (Highly Accelerated Life Testing), and HASS (Highly Accelerated Stress Screening). Throughout the course, you’ll participate in an activity that allows you to identify failure modes, develop hypotheses, and select accelerated test methods for a product of your choice.
It is recommended that you have access to a calculator during this course. Learners will also receive a copy of the instructor’s eBook, Accelerated Testing and Validation Management..
Objectives
By participating in this on-demand course, you’ll be able to:
- Choose the accelerated test method for a given application
- Analyze accelerated testing results
- Explain how to accelerate your current test methods
- Explain how to accelerate your validation program
- Adjust accelerated test programs for business situations
- Describe how product development cycles can be reduced from 18 to six months
26. 1. 2023
VMware Aria Operations for Logs: Install Configure Manage [V8.12]
This three-day course features hands-on training that focuses on deploying, configuring, and managing VMware Aria Operations™ for Logs 8.12. You will learn the UI enhancements, features, architecture, use cases, and benefits of VMware Aria Operations for Logs. This course provides you with the knowledge and skills to use VMware Aria Operations for Logs 8.12 to monitor your environment.
28. 5. 2024
AWS Cloud Essentials for Business Leaders
In this course, you will learn the fundamental concepts of cloud computing and how a cloud strategy can help companies meet business objectives. It explores the advantages and possibilities of cloud computing. It also introduces addresses concepts such as security and compliance to help facilitate better discussions with line of business (LOB) professionals, information technology (IT) LoB, IT leaders, and executives.
What you’ll learn
- Explain the customer value proposition for using the cloud across industries
- Define key characteristics of cloud computing
- Explain the cloud business model
- Identify key security practices of cloud computing
- Frame the cloud business value using the Cloud Value Framework
21. 2. 2022
SAS(R) Viya(R) and Python Integration for Machine Learning
In this course, you learn to use the Python API to take control of SAS Cloud Analytic Services (CAS) actions from Jupyter Notebook. You learn to upload data into the in-memory distributed environment, analyze data, and create predictive models in CAS using familiar Python functionality via the SWAT (SAS Wrapper for Analytics Transfer) package. You then learn to download results to the client and use native Python syntax to compare models.
27. 1. 2023
RecoverPoint for Virtual Machines Implementation and Administration
This course covers how to implement, manage, and monitor a RecoverPoint for Virtual Machines solution. Deployment activities including planning, installation, and configuration are covered in this course. Management activities using the vCenter Server Web Client include testing images for remote access, creating bookmarks, and failover and production recovery operations.
This course also covers how the system handles dynamic changes to the VMs and the underlying infrastructure, as well as RecoverPoint licensing and the REST API.
19. 9. 2022
SAS Viya and R Integration for Machine Learning
In this course, you learn to use the R API to take control of SAS Cloud Analytic Services (CAS) actions from Jupyter Notebook. You learn to upload data into the in-memory distributed environment, analyze data, and create predictive models in CAS using familiar R functionality via the SWAT (SAS Wrapper for Analytics Transfer) package. You then learn to download results to the client and use native R syntax to compare models.
27. 1. 2023
Forecasting Using SAS(R) Software: A Programming Approach
This course teaches analysts how to use SAS/ETS software to diagnose systematic variation in data collected over time, create forecast models to capture the systematic variation, evaluate a given forecast model for goodness of fit and accuracy, and forecast future values using the model. Topics include Box-Jenkins ARIMA models, dynamic regression models, and exponential smoothing models.
27. 1. 2023
SAS(R) Risk Stratum for CECL: Workshop
This course prepares end users for using SAS Solution for CECL on SAS Risk Stratum. The training prepares members of your organization's ECL analysis team to use SAS Risk Stratum to calculate your ECL. The course includes hands-on demonstrations and teaches key concepts, terminology, and base functionality that are integral to SAS Solution for CECL. After completing the course, participants will be prepared to make key business decisions.
The self-study e-learning includes:
- Annotatable course notes in PDF format.
- Virtual Lab time to practice.
27. 1. 2023
