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1. LIVELESSONS MPLS FUNDAMENTALS RAPIDSGATOR HOW TO
2. LIVELESSONS MPLS FUNDAMENTALS RAPIDSGATOR FULL
3. LIVELESSONS MPLS FUNDAMENTALS RAPIDSGATOR SOFTWARE
4. LIVELESSONS MPLS FUNDAMENTALS RAPIDSGATOR CODE
5. LIVELESSONS MPLS FUNDAMENTALS RAPIDSGATOR SERIES

Pearson’s expert-led video tutorials teach you the technology skills you need to succeed. Lesson 14: Troubleshooting Real-Time Mobility Issues Lesson 13: Deploying Real Time Applications Running on Microsoft Endpoints Lesson 12: FastLane, Deploying Apple Devices on a Cisco Wireless Infrastructure Lesson 11: QoS Orchestration with APIC-EM Lesson 10: Deploying Real Time Applications with Meraki Lesson 9: Advanced QoS Configuration in AireOS Lesson 3: Taking Care of the Roaming Path Lesson 1: An Intro to Deploying Mobile Applications over Wireless Module 1: Real Time Over Wireless Foundations Each section will have a brief overview of the basic principles, and then delve deeper into the fine details of the protocols, deployment platforms, and best practices. The expectation is that the audience will have some foundation in wireless networking, QoS, and real time mobile applications however, the readers will not need expert-level knowledge of these subjects to find the material useful. Cisco System Engineers, partners, trainers and other networking professionals who need to ramp-up technically on QoS technologies and designs would also benefit from watching this course. These can include network administrators, systems administrators, audio/video specialists, Wi-Fi and VoIP specialists, and operations staff.Ī secondary market would be the technical decision makers tasked with evaluating the technical feasibility of deploying Cisco Jabber, MS Skype for Business, Apple FaceTime, or another real time application over their wireless network. O Troubleshooting Real Time Mobility IssuesĪnyone interested in deploying both Wi-Fi networks and real time applications. O Deploying Real Time Applications Running on Microsoft Endpoints O FastLane, Deploying Apple Devices on a Cisco Wireless Infrastructure O Deploying Real Time Applications with Meraki O An Intro to Deploying Mobile Applications over Wireless

LIVELESSONS MPLS FUNDAMENTALS RAPIDSGATOR SERIES

This video series will help any network engineer successfully design wireless for real time applications and deploy common real time applications (Spark, Jabber, and Skype for Business) over Wi-Fi networks.

LIVELESSONS MPLS FUNDAMENTALS RAPIDSGATOR FULL

The videos cover the full range of topics you need to successfully deploy real time applications over Wi-Fi. With more than twelve hours of video training, Real Time Over Wireless LiveLessons demonstrates the process of designing, deploying, configuring and troubleshooting Wi-Fi networks for real time application support. This Real Time over Wireless LiveLessons is a unique video course that provides the knowledge and details you need to create the best real time wireless experience for your organization. In recent years, more and more companies are deploying real-time applications, and enterprise-quality is expected. Most of the wireless networks today are designed to support only data applications and not real-time applications. Good Wi-Fi means that your user experience is seamless. But “good Wi-Fi” is not just about coverage or converting your APs to 802.11ac or 802.11ax.

LIVELESSONS MPLS FUNDAMENTALS RAPIDSGATOR CODE

Code examples are provided in Python, so familiarity with it or another object-oriented programming language would be helpful.Today, Wi-Fi is everywhere, and the need to provide good Wi-Fi is an essential part of doing business.

LIVELESSONS MPLS FUNDAMENTALS RAPIDSGATOR SOFTWARE

These LiveLessons are perfectly suited to software engineers, data scientists, analysts, and statisticians with an interest in applying Deep Learning to natural language data. Improve Deep Learning model performance by selecting appropriate model architectures and tuning model hyperparameters Make predictions with Deep Learning models trained on natural languageĪpply state-of-the-art NLP approaches with Keras, the high-level API for TensorFlow 2 Transform natural language into numerical representations with word2vec Preprocess natural language data for use in machine learning applications In later lessons, state-of-the art Deep Learning architectures are leveraged to make predictions with natural language data.

LIVELESSONS MPLS FUNDAMENTALS RAPIDSGATOR HOW TO

In early lessons, specifics of working with natural language data are covered, including how to convert natural language into numerical representations that can be readily processed by machine learning approaches.

Examples feature Python and Keras, the high-level API for TensorFlow 2, the most popular Deep Learning library. These lessons bring intuitive explanations of essential theory to life with interactive, hands-on Jupyter notebook demos. MP4, AVC, 1280x720, 30 fps | English, AAC, 2 Ch | 4h 59m | 10 GBĪn intuitive introduction to processing natural language data with TensorFlow-Keras deep learning models.ĭeep Learning for Natural Language Processing LiveLessons, Second Edition, is an introduction to building natural language models with deep learning.