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Workload Orchestrator Administration for SAS(R) Grid
In this course, you learn how to administer a SAS Grid Manager environment using the SAS Workload Orchestrator grid provider. After you complete this course, you will understand SAS Grid Manager concepts and terminology and have a grasp of the fundamentals of the SAS Grid Manager architecture. This will enable you to configure your grid to optimize the workloads of your users’ jobs, maximizing the throughput of the jobs, and consistently getting the results for decision making in a timely manner.
27. 1. 2023
Failure Mode and Effects Analysis (FMEA) for Robust Design Case Study
FMEA is an essential part of any product design or redesign. An FMEA requires that a dedicated team take a step-by-step, proactive approach to identifying and analyzing all potential failure modes in a product or service. Completing an FMEA can dramatically improve product performance and reduce manufacturing issues at the component, system, and processing level.
This interactive FMEA case study gives you an opportunity to work through the process as an engineer develops an FMEA. From receiving the assignment to creating an FMEA, you’ll discover how to gain essential knowledge, organize a team, and then work with that team to create the FMEA. You’ll explore the goal and assumptions of an FMEA, review the different types of FMEAs, and acquire details of what should be listed in each column of the FMEA form. You’ll test your knowledge as you guide the team leader in his decisions, and you’ll gain insights into how a successful FMEA is created.
Objectives
By participating in this on-demand course, you’ll be able to:
- Explain the application of the five types of FMEAs
- Apply the FMEA process as both a product risk management and improvement techniques
- List the steps to selecting, organizing, and managing an effective FMEA team
- State the relationship between Product Development, Voice of the Customer (VoC) and the FMEA process
- Adapt the steps to generate an FMEA process to your specific company needs, including customization of the FMEA S-O-D and Risk Ranking tables
- Assign effective recommended actions and plan effective follow-up
26. 1. 2023
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
Video Streaming Essentials for AWS Media Services
Learn best practices for designing and using cloud-based video workflows in the AWS Cloud from an expert AWS instructor. The course covers important concepts related to video processing and delivery, the variables that can impact migration decisions, and real-world examples of hybrid and cloud use cases for AWS Media Services.
It also introduces security, machine learning, and analytics concepts to help you consider how AWS Media Services fit into your overall cloud strategy.
29. 4. 2022
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(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
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
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
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
SAS® Forecasting and Econometrics Learning Subscription
Learn how to generate large quantities of high-quality forecasts quickly and automatically (with no need for human intervention unless you want it) using SAS Forecast Server, SAS/ETS, SAS Visual Forecasting, and Model Studio on the SAS Viya platform. An easy-to-use GUI gives you the power to forecast without having to write code, unless you want to. A batch environment gives more-advanced users access to an even fuller set of capabilities using the SAS programming language. Algorithms provide automatic model diagnosis, generation, and selection for a wide range of signal components. Test what-if scenarios to determine the likely impact of your forecasts.
SAS Products Covered
- SAS/ETS
- SAS/STAT
- SAS Forecast Server
- SAS Studio
- SAS Visual Forecasting
- SAS Viya
18. 4. 2024
Design of Experiments (DoE) for Engineers
How do you determine the root cause of a problem or identify which variable settings will make the product or process more “robust”? What if you need to gain a better understanding of a complicated system? Can you identify which variables most affect performance and obtain a well-correlated regression equation that explains how those selected system variables and their interactions affect performance?
Design of Experiments (DOE) is an excellent, statistically based tool used to address and solve these questions in the quickest, least expensive, and most efficient means possible. It’s a methodology that includes steps for identifying system variables worthy of study and the ideal experiment type to execute; for setting up an organized, efficient series of tests involving various combinations of selected variables; and for statistically analyzing the collected data to help obtain definitive answers to these problem-solving and optimization challenges.
DOE is a methodology that includes steps for identifying system variables worthy of study and the ideal experiment type to execute; for setting up an organized, efficient series of tests involving various combinations of selected variables; and for statistically analyzing the collected data to help obtain definitive answers to these problem-solving and optimization challenges.
This on-demand course utilizes a blend of text, videos, and hands-on activities to help you gain proficiency in executing designed experiments. It explains the pre-work required prior to DOE execution, how to select the appropriate designed experiment to run, and choosing the appropriate factors and their levels. You’ll also learn how to execute the experimental tests (“runs”) and analyze/interpret the results with the benefit of computer software tools, such as Minitab.
You’ll set up, run, and analyze simple-to-intermediate complexity Full Factorial, Partial Factorial, Taguchi/Robust, and Response Surface experiments both by hand and using computer software. You’ll also receive an overview of Mixture experiments and information on how to install and configure a fully functional 30-day trial version of Minitab for completing practice activities and for personal evaluation. You’ll gain the most value from this course by running experiments through various class exercises, with answers discussed after you’ve had the opportunity to execute the DOE on your own.
Objectives
By participating in this on-demand course, you’ll be able to:
- Determine when DOE is the correct tool to solve a given problem or issue
- Select the appropriate DOE experiment type (DOE goal) for a given application
- Set up simple Full Factorial DOEs by hand using cube plots
- Set up and analyze any Full Factorial DOE using Minitab®
- Identify appropriate Partial Factorial design(s) based on one’s application
- Set up and analyze Partial Factorial DOEs, simple Robust Design (Taguchi) DOEs, and simple Response Surface DOEs using Minitab®
- Recognize the structured process steps recommended when executing a DOE project
26. 1. 2023
