12259 Video courses

VoIP and IP Telephony training course description A concise overview course for management covering voice communications using IP networks. The course focuses on how VoIP works at a simplified level enabling delegates to recognise the key decisions to be made when implementing VoIP. What will you learn Describe the key buzzwords used in the VoIP arena. Explain how VoIP and IPT work (at a simplified level). Describe the issues of providing a converged architecture. Recognise the key decisions to be made when implementing VoIP VoIP and IP Telephony training course details Who will benefit: Anyone, although the course is particularly aimed at non-technical personnel needing some knowledge of VoIP. Prerequisites: Network fundamentals Duration 1 day VoIP and IP Telephony training course contents Introduction What is VoIP, brief review of IP, brief review of telephones, voice and signalling. VoIP issues Bandwidth, Delay, Jitter. Voice coding and compression, packetising voice, comparison of techniques, MOS.IP performance and QoS. The need for QoS, prioritising voice. Architectures Hard phones, soft phones, video phones, desktop, backbone, gateway, integrating analog phones and PCs, carriers, Softswitches. VoIP protocol stack RTP, RTCP. H.323 vs SIP, other signalling protocols. H.323 Architecture, Call setup, Gatekeepers. SIP Comparison with H.323, SIP proxy, proxy servers, redirect servers, location servers. MGCP and MegaCo Carrier networks, PSTN breakout, SS7 gateways, MGCP, Megaco. IP PBXs Integrating IP into 'normal' PBXs, IP PBXs, Asterisk. UM, other telephony applications.

This course is a comprehensive beginner's guide to Kubernetes. In this course, you will get a solid understanding and hands-on practical experience with Kubernetes. You will learn about key building blocks of Kubernetes: nodes, pods, services, and deployments. All you need is some basic knowledge about Docker to get started.

This interactive course will help you gain a solid understanding of Docker. Featuring labs, coding exercises, and assignments, this will help you get hands-on with developing Docker applications. Learn Docker from scratch! Master containerization and automation with Docker, and build, ship, and run your applications with ease. This hands-on course covers essential concepts and commands, Dockerfile, Docker Compose, Docker Swarm, and much more. Suitable for beginners with a basic understanding of system administration.

Supercharge your career as an Oracle DBA! This in-depth performance tuning course empowers you to pinpoint bottlenecks, master essential tools like AWR and ASH, elevate your database's performance, and unlock your potential as a top-tier Oracle DBA.

Explore offline-first app development with Angular, Ionic, PouchDB, and CouchDB. Sync data effortlessly, design for web and mobile, and deploy with ease for a seamless user experience. Learn data synchronization, advanced features such as RxJS and custom pipes, implement state machines with XState, and build scalable, multi-platform web apps.

In this course, you will be learning one of the widely used deep learning frameworks, that is, PyTorch, and learn the basics of convolutional neural networks in PyTorch. We will also cover the basics of Python and understand how to implement different Python libraries.

S3 is by far the most popular AWS service out there and the demand is only increasing! Most of the Fortune 500 companies, mid-size companies, and start-ups are making use of it heavily! In this course, you will learn the ins and outs of S3 and how to implement solutions with S3.

Learn to build an amazing REST API with Spring Boot and understand what all this hype about microservices is about.

If you are working on data science projects and want to create powerful visualization and insights as an outcome of your projects or are working on machine learning projects and want to find patterns and insights from your data on your way to building models, then this course is for you. This course exclusively focuses on explaining how to build fantastic visualizations using Python. It covers more than 20 types of visualizations using the most popular Python visualization libraries, such as Matplotlib, Seaborn, and Bokeh along with data analytics that leads to building these visualizations so that the learners understand the flow of analysis to insights.

Identity, Access, and Authentication with Microsoft AD and Identity with Windows Server 2016 (70-742) Exam Prep