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Hyperledger Fabric for Developers (LFD272)
Hyperledger Fabric for Developers helps you build expertise and obtain practical skills in implementing business logic by writing chaincode – Fabric’s smart contracts – and creating enterprise blockchain-based applications.
In this course, you’ll learn how to implement and test a chaincode in Node.js for any use case, manage the chaincode life cycle, create Node.js client applications interacting with Hyperledger Fabric networks, control access to the information based on a user identity, set up and use private data collections and much more.
11. 5. 2023
FortiGate Immersion
In this course, you are assigned a series of do-it-yourself (DIY) configuration tasks in a virtual lab environment.
The configuration tasks cover some of the topics in the NSE 4 certification exam and include the use of the most common FortiGate features, such as firewall policies, the Fortinet Security Fabric, user authentication, SSL and IPsec VPNs, equal-cost multi-path (ECMP) routing, SD-WAN, high availability (HA), and content inspection.
If you are preparing for the NSE 4 certification, or want to learn about other FortiGate features, Fortinet recommends that you enroll in the FortiGate Security and FortiGate Infrastructure courses first, before enrolling in the NSE4 Immersion course.
Price of the certification exam is not included in the price of the course.
22. 4. 2022
Large language models for text generation
This course is intended for anyone who is fascinated by the capabilities of large language models and generative artificial intelligence and wants to delve into the subject beyond just the level of the average user. Together we will get to know transformers, the basic building blocks of modern language models, introduce the most famous architectures and show how large language models can be used for various applications. No third-party paid account is required for hands-on exercises. We will be using open source models which, when used correctly, are as good as the biggest commercial models.
2. 11. 2023
SAS(R) Visual Analytics 2 for SAS(R) Viya(R): Advanced
This course describes advanced features of data preparation, analytics, and report creation in SAS Visual Analytics.
The e-learning course covers SAS Visual Analytics 8.5, 2020.1, and 2021.1.4 in SAS Viya.
27. 1. 2023
Advanced Analytics for IoT Using SAS(R) Event Stream Processing
This course teaches you how to apply advanced analytics techniques to IoT processes. The course addresses analysis of data at rest as well as streaming data. By using the SAS Viya environment with SAS Event Stream Processing, you learn how to deploy your own deep learning models to streaming data.
The self-study e-learning includes:
- Annotatable course notes in PDF format.
- Virtual lab time to practice.
27. 1. 2023
Splunk for Analytics and Data Science
This 13.5-hour course is for users who want to attain operational intelligence level 4, (business insights) and covers implementing analytics and data science projects using Splunk’s statistics, machine learning, built-in and custom visualization capabilities.
26. 1. 2022
SAS(R) Visual Analytics 1 for SAS(R)9: Basics
This course provides an introduction to data preparation, data discovery, and report creation in SAS Visual Analytics.
27. 1. 2023
Kubernetes for Developers (LFD259)
Kubernetes is a high-velocity open source orchestration tool to deploy, scale, and update containerized applications. This course will teach you how to containerize, host, deploy, and configure an application in a multi-node cluster.
This course will teach you how to containerize, host, deploy, and configure an application in a multi-node cluster. Starting with a simple Python script, you will define application resources and use core primitives to build, monitor and troubleshoot scalable applications in Kubernetes. Working with network plugins, security and cloud storage, you will be exposed to many of the features needed to deploy an application in a production environment.
The topics covered are directly aligned with the knowledge domains tested by the Cloud Native Computing Foundation (CNCF) Certified Kubernetes Application Developer (CKAD) Program, and will substantially increase students’ ability to become certified.
2. 3. 2023
Ansible for Network Automation (DO457)
Ansible for Network Automation (DO457) is designed for network administrators or infrastructure automation engineers who want to use network automation to centrally manage the switches, routers, and other devices in the organization's network infrastructure.
26. 1. 2022
SAS(R) Visual Analytics 1 for SAS(R) Viya(R): Basics
This course provides an introduction to data preparation, data discovery, and report creation in SAS Visual Analytics.
27. 1. 2023
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
Acoustic Fundamentals for Solving Noise and Vibration Problems Web Seminar RePlay
This course will provide an introduction to the characteristics of sound waves, human perception of sound, sound and vibration measurements, measurement facilities, and various noise sources and noise control principles. It will include an overview of sound pressure, power, intensity, decibels, and frequencies. Practical examples will be used to familiarize participants with the acoustic fundamentals for solving noise and vibration problems and the associated solution principles.
Objectives
By participating in this course, you\’ll be able to:
- Discuss the differences of various acoustic terminologies that are important to solve noise and vibration problems
- Define a relationship between sound pressure, sound power, and sound intensity
- Associate decibel to both sound and vibration
- Prepare effective acoustic specifications encompassing all variables that affect noise and vibration
- Select correct instrumentation for noise and vibration measurements recognizing the challenges of measurements
- Define the source-path-receiver relationship
- Determine the steps of noise and vibration source identification process for a given application
- Employ different noise control options to address specific noise and vibration issues
26. 1. 2023
