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43 Broadcasting courses in Liverpool delivered On Demand
Are you ready to be at the helm, steering the ship into a realm where data is the new gold? In the infinite world of data, where information spirals at breakneck speed, lies a universe rich in potential and discovery: the domain of Data Science and Visualisation. This 'Certificate in Data Science and Visualisation with Machine Learning at QLS Level 3' course unravels the wonders of extracting meaningful insights using Python, the worldwide leading language of data experts. Harnessing the strength of Python, you'll delve deep into data analysis, experience the finesse of visualisation tools, and master the art of Machine Learning. The need to understand, interpret, and act on this data has become paramount, with vast amounts of data increasing the digital sphere. Envision a canvas where raw numbers are transformed into visually compelling stories, and machine learning models foretell future trends. This course provides a meticulous pathway for anyone eager to learn the data representation paradigms backed by Python's robust libraries. Dive into a curriculum rich with analytical explorations, visual artistry, and machine learning predictions. Learning Outcomes Understanding the foundations and functionalities of Python, focusing on its application in data science. Applying various Python libraries like NumPy and Pandas for effective data analysis. Demonstrating proficiency in creating detailed visual narratives using tools like matplotlib, Seaborn, and Plotly. Implementing Machine Learning algorithms in Python using scikit-learn, ranging from regression models to clustering techniques. Designing and executing a holistic data analysis and visualisation project, encapsulating all learned techniques. Exploring advanced topics, encompassing recommender systems and natural language processing with Python. Attaining the confidence to independently analyse complex data sets and translate them into actionable insights. Video Playerhttps://studyhub.org.uk/wp-content/uploads/2021/03/Data-Science-and-Visualisation-with-Machine-Learning.mp400:0000:0000:00Use Up/Down Arrow keys to increase or decrease volume. Why buy this Certificate in Data Science and Visualisation with Machine Learning at QLS Level 3? Unlimited access to the course for a lifetime. Opportunity to earn a certificate accredited by the CPD Quality Standards after completing this course. Structured lesson planning in line with industry standards. Immerse yourself in innovative and captivating course materials and activities. Assessments are designed to evaluate advanced cognitive abilities and skill proficiency. Flexibility to complete the Certificate in Data Science and Visualisation with Machine Learning at QLS Level 3 Course at your own pace, on your own schedule. Receive full tutor support throughout the week, from Monday to Friday, to enhance your learning experience. Who is this Certificate in Data Science and Visualisation with Machine Learning at QLS Level 3 course for? Aspiring data scientists aiming to harness the power of Python. Researchers keen to enrich their analytical and visualisation skills. Analysts aiming to add machine learning to their toolkit. Developers striving to integrate data analytics into applications. Business professionals desiring data-driven decision-making capabilities. Career path Data Scientist: £55,000 - £85,000 Per Annum Machine Learning Engineer: £60,000 - £90,000 Per Annum Data Analyst: £30,000 - £50,000 Per Annum Data Visualisation Specialist: £45,000 - £70,000 Per Annum Natural Language Processing Specialist: £65,000 - £95,000 Per Annum Business Intelligence Developer: £40,000 - £65,000 Per Annum Prerequisites This Certificate in Data Science and Visualisation with Machine Learning at QLS Level 3 does not require you to have any prior qualifications or experience. You can just enrol and start learning. This Certificate in Data Science and Visualisation with Machine Learning at QLS Level 3 was made by professionals and it is compatible with all PC's, Mac's, tablets and smartphones. You will be able to access the course from anywhere at any time as long as you have a good enough internet connection. Certification After studying the course materials, there will be a written assignment test which you can take at the end of the course. After successfully passing the test you will be able to claim the pdf certificate for £4.99 Original Hard Copy certificates need to be ordered at an additional cost of £8. Endorsed Certificate of Achievement from the Quality Licence Scheme Learners will be able to achieve an endorsed certificate after completing the course as proof of their achievement. You can order the endorsed certificate for only £85 to be delivered to your home by post. For international students, there is an additional postage charge of £10. Endorsement The Quality Licence Scheme (QLS) has endorsed this course for its high-quality, non-regulated provision and training programmes. The QLS is a UK-based organisation that sets standards for non-regulated training and learning. This endorsement means that the course has been reviewed and approved by the QLS and meets the highest quality standards. Please Note: Studyhub is a Compliance Central approved resale partner for Quality Licence Scheme Endorsed courses. Course Curriculum Welcome, Course Introduction & overview, and Environment set-up Welcome & Course Overview 00:07:00 Set-up the Environment for the Course (lecture 1) 00:09:00 Set-up the Environment for the Course (lecture 2) 00:25:00 Two other options to setup environment 00:04:00 Python Essentials Python data types Part 1 00:21:00 Python Data Types Part 2 00:15:00 Loops, List Comprehension, Functions, Lambda Expression, Map and Filter (Part 1) 00:16:00 Loops, List Comprehension, Functions, Lambda Expression, Map and Filter (Part 2) 00:20:00 Python Essentials Exercises Overview 00:02:00 Python Essentials Exercises Solutions 00:22:00 Python for Data Analysis using NumPy What is Numpy? A brief introduction and installation instructions. 00:03:00 NumPy Essentials - NumPy arrays, built-in methods, array methods and attributes. 00:28:00 NumPy Essentials - Indexing, slicing, broadcasting & boolean masking 00:26:00 NumPy Essentials - Arithmetic Operations & Universal Functions 00:07:00 NumPy Essentials Exercises Overview 00:02:00 NumPy Essentials Exercises Solutions 00:25:00 Python for Data Analysis using Pandas What is pandas? A brief introduction and installation instructions. 00:02:00 Pandas Introduction 00:02:00 Pandas Essentials - Pandas Data Structures - Series 00:20:00 Pandas Essentials - Pandas Data Structures - DataFrame 00:30:00 Pandas Essentials - Handling Missing Data 00:12:00 Pandas Essentials - Data Wrangling - Combining, merging, joining 00:20:00 Pandas Essentials - Groupby 00:10:00 Pandas Essentials - Useful Methods and Operations 00:26:00 Pandas Essentials - Project 1 (Overview) Customer Purchases Data 00:08:00 Pandas Essentials - Project 1 (Solutions) Customer Purchases Data 00:31:00 Pandas Essentials - Project 2 (Overview) Chicago Payroll Data 00:04:00 Pandas Essentials - Project 2 (Solutions Part 1) Chicago Payroll Data 00:18:00 Python for Data Visualization using matplotlib Matplotlib Essentials (Part 1) - Basic Plotting & Object Oriented Approach 00:13:00 Matplotlib Essentials (Part 2) - Basic Plotting & Object Oriented Approach 00:22:00 Matplotlib Essentials (Part 3) - Basic Plotting & Object Oriented Approach 00:22:00 Matplotlib Essentials - Exercises Overview 00:06:00 Matplotlib Essentials - Exercises Solutions 00:21:00 Python for Data Visualization using Seaborn Seaborn - Introduction & Installation 00:04:00 Seaborn - Distribution Plots 00:25:00 Seaborn - Categorical Plots (Part 1) 00:21:00 Seaborn - Categorical Plots (Part 2) 00:16:00 Seborn-Axis Grids 00:25:00 Seaborn - Matrix Plots 00:13:00 Seaborn - Regression Plots 00:11:00 Seaborn - Controlling Figure Aesthetics 00:10:00 Seaborn - Exercises Overview 00:04:00 Seaborn - Exercise Solutions 00:19:00 Python for Data Visualization using pandas Pandas Built-in Data Visualization 00:34:00 Pandas Data Visualization Exercises Overview 00:03:00 Panda Data Visualization Exercises Solutions 00:13:00 Python for interactive & geographical plotting using Plotly and Cufflinks Plotly & Cufflinks - Interactive & Geographical Plotting (Part 1) 00:19:00 Plotly & Cufflinks - Interactive & Geographical Plotting (Part 2) 00:14:00 Plotly & Cufflinks - Interactive & Geographical Plotting Exercises (Overview) 00:11:00 Plotly & Cufflinks - Interactive & Geographical Plotting Exercises (Solutions) 00:37:00 Capstone Project - Python for Data Analysis & Visualization Project 1 - Oil vs Banks Stock Price during recession (Overview) 00:15:00 Project 1 - Oil vs Banks Stock Price during recession (Solutions Part 1) 00:18:00 Project 1 - Oil vs Banks Stock Price during recession (Solutions Part 2) 00:18:00 Project 1 - Oil vs Banks Stock Price during recession (Solutions Part 3) 00:17:00 Project 2 (Optional) - Emergency Calls from Montgomery County, PA (Overview) 00:03:00 Python for Machine Learning (ML) - scikit-learn - Linear Regression Model Introduction to ML - What, Why and Types.. 00:15:00 Theory Lecture on Linear Regression Model, No Free Lunch, Bias Variance Tradeoff 00:15:00 scikit-learn - Linear Regression Model - Hands-on (Part 1) 00:17:00 scikit-learn - Linear Regression Model Hands-on (Part 2) 00:19:00 Good to know! How to save and load your trained Machine Learning Model! 00:01:00 scikit-learn - Linear Regression Model (Insurance Data Project Overview) 00:08:00 scikit-learn - Linear Regression Model (Insurance Data Project Solutions) 00:30:00 Python for Machine Learning - scikit-learn - Logistic Regression Model Theory: Logistic Regression, conf. mat., TP, TN, Accuracy, Specificityetc. 00:10:00 scikit-learn - Logistic Regression Model - Hands-on (Part 1) 00:17:00 scikit-learn - Logistic Regression Model - Hands-on (Part 2) 00:20:00 scikit-learn - Logistic Regression Model - Hands-on (Part 3) 00:11:00 scikit-learn - Logistic Regression Model - Hands-on (Project Overview) 00:05:00 scikit-learn - Logistic Regression Model - Hands-on (Project Solutions) 00:15:00 Python for Machine Learning - scikit-learn - K Nearest Neighbors Theory: K Nearest Neighbors, Curse of dimensionality . 00:08:00 scikit-learn - K Nearest Neighbors - Hands-on 00:25:00 scikt-learn - K Nearest Neighbors (Project Overview) 00:04:00 scikit-learn - K Nearest Neighbors (Project Solutions) 00:14:00 Python for Machine Learning - scikit-learn - Decision Tree and Random Forests Theory: D-Tree & Random Forests, splitting, Entropy, IG, Bootstrap, Bagging. 00:18:00 scikit-learn - Decision Tree and Random Forests - Hands-on (Part 1) 00:19:00 scikit-learn - Decision Tree and Random Forests (Project Overview) 00:05:00 scikit-learn - Decision Tree and Random Forests (Project Solutions) 00:15:00 Python for Machine Learning - scikit-learn -Support Vector Machines (SVMs) Support Vector Machines (SVMs) - (Theory Lecture) 00:07:00 scikit-learn - Support Vector Machines - Hands-on (SVMs) 00:30:00 scikit-learn - Support Vector Machines (Project 1 Overview) 00:07:00 scikit-learn - Support Vector Machines (Project 1 Solutions) 00:20:00 scikit-learn - Support Vector Machines (Optional Project 2 - Overview) 00:02:00 Python for Machine Learning - scikit-learn - K Means Clustering Theory: K Means Clustering, Elbow method .. 00:11:00 scikit-learn - K Means Clustering - Hands-on 00:23:00 scikit-learn - K Means Clustering (Project Overview) 00:07:00 scikit-learn - K Means Clustering (Project Solutions) 00:22:00 Python for Machine Learning - scikit-learn - Principal Component Analysis (PCA) Theory: Principal Component Analysis (PCA) 00:09:00 scikit-learn - Principal Component Analysis (PCA) - Hands-on 00:22:00 scikit-learn - Principal Component Analysis (PCA) - (Project Overview) 00:02:00 scikit-learn - Principal Component Analysis (PCA) - (Project Solutions) 00:17:00 Recommender Systems with Python - (Additional Topic) Theory: Recommender Systems their Types and Importance 00:06:00 Python for Recommender Systems - Hands-on (Part 1) 00:18:00 Python for Recommender Systems - - Hands-on (Part 2) 00:19:00 Python for Natural Language Processing (NLP) - NLTK - (Additional Topic) Natural Language Processing (NLP) - (Theory Lecture) 00:13:00 NLTK - NLP-Challenges, Data Sources, Data Processing .. 00:13:00 NLTK - Feature Engineering and Text Preprocessing in Natural Language Processing 00:19:00 NLTK - NLP - Tokenization, Text Normalization, Vectorization, BoW. 00:19:00 NLTK - BoW, TF-IDF, Machine Learning, Training & Evaluation, Naive Bayes 00:13:00 NLTK - NLP - Pipeline feature to assemble several steps for cross-validation 00:09:00 Resources Resources - Data Science and Visualisation with Machine Learning 00:00:00 Order your QLS Endorsed Certificate Order your QLS Endorsed Certificate 00:00:00
The Ultimate Flask Course
By Packt
This course will show you how to build Python-based web applications using Flask. You will cover the basics of the Flask framework and learn how to add functionality to your Flask applications using the popular extensions.
CompTIA Security+ Certification SY0-601: The Total Course
By Packt
This video course is designed to prepare you to achieve the internationally recognized fundamental IT training certification, CompTIA Security+ Certification SY0-601 exam. The course covers all the major domains needed for the certification and will help you develop the basics of IT and computers with the help of examples and quizzes.
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Show all 50Ultimate Broadcasting Guide for OBS
By Compete High
ð¥ Unleash Your Broadcasting Potential with the Ultimate Broadcasting Guide for OBS! ð Are you ready to take your streaming and broadcasting skills to the next level? Whether you're a gaming enthusiast, a content creator, or a business professional looking to captivate your audience through live streams, OBS (Open Broadcaster Software) is your gateway to seamless, professional-grade broadcasting. Introducing our comprehensive online course: the Ultimate Broadcasting Guide for OBS! ð ð¹ Master the Tools: Dive deep into the functionalities of OBS and learn how to wield its features like a pro. From scene creation to audio management and everything in between, this course covers it all! ð¹ Polish Your Presentation: Elevate your broadcasts with advanced tips and tricks to enhance visual appeal, engage viewers, and create a dynamic streaming experience that keeps audiences coming back for more. ð¹ Optimize Your Setup: Discover the optimal settings and configurations for your hardware, ensuring smooth and high-quality streams without compromising performance. ð¹ Exclusive Techniques: Unlock insider secrets and expert strategies from industry professionals to stand out in the competitive world of streaming and broadcasting. ð¹ Troubleshooting Expertise: Overcome technical hurdles and glitches with confidence. Learn troubleshooting techniques to tackle common issues and maintain a flawless broadcast. ð¹ Interactive Community: Join a thriving community of broadcasters, exchange ideas, and get ongoing support from instructors and fellow learners on your broadcasting journey. ð¡ Whether you're a beginner eager to embark on your streaming adventure or an experienced broadcaster seeking to refine your skills, this course is tailored for you. ð Enroll now and gain the knowledge and expertise needed to become a broadcasting maestro with OBS! ð Don't miss this opportunity to level up your streaming game. Join the ranks of successful broadcasters who have transformed their content with the Ultimate Broadcasting Guide for OBS! Course Curriculum
EngageLive: Mastering YouTube Live Broadcasting
By Compete High
ð Unlock Your Full Potential with EngageLive: Mastering YouTube Live Broadcasting! ð Are you ready to take your online presence to new heights and captivate your audience like never before? Introducing EngageLive, the ultimate online course designed to transform your YouTube Live broadcasts into captivating, high-impact experiences! ð Why EngageLive? ð ⨠Master the Art of Engagement: Learn proven strategies to keep your audience hooked from the moment you go live. From compelling storytelling to interactive features, discover the secrets to creating an immersive experience that keeps viewers coming back for more. ⨠Technical Mastery: Demystify the technical aspects of YouTube Live broadcasting. Whether you're a beginner or an experienced streamer, EngageLive covers everything from setup and equipment recommendations to troubleshooting common issues, ensuring your broadcasts are seamless and professional. ⨠Audience Growth Strategies: Uncover the strategies that top content creators use to grow their audience organically. From optimizing your video titles to leveraging social media, EngageLive provides you with actionable steps to expand your reach and build a dedicated fanbase. ⨠Monetization Magic: Turn your passion into profit! Discover effective monetization strategies, including sponsorships, ads, and merchandise, to create a sustainable income from your YouTube Live broadcasts. ⨠Behind-the-Scenes Insights: Gain exclusive access to industry insights and real-life case studies from successful YouTube Live broadcasters. Learn from their experiences and avoid common pitfalls to accelerate your own journey. ⨠Community Building: Forge meaningful connections with your audience. EngageLive teaches you how to build a loyal community around your content, fostering a sense of belonging and turning viewers into lifelong fans. ð Exclusive Bonuses ð Enroll today and receive: ð Live Q&A Sessions: Get your burning questions answered by industry experts during live Q&A sessions. ð Resource Library: Access a curated library of templates, checklists, and guides to streamline your broadcasting process. ð Private Community: Join a community of like-minded creators to network, collaborate, and share insights. ð Lifetime Access: Enjoy lifetime access to course updates and new content as the world of YouTube Live broadcasting evolves. Don't miss out on this opportunity to elevate your YouTube Live game! Join EngageLive today and become the master of captivating broadcasts that leave a lasting impact. ð¥ Ready to transform your YouTube Live experience? Enroll in EngageLive now! ð¥ Course Curriculum Basic Overview 00:00 Minimum Equipment Needed for Desktop Streaming 00:00 Equipment Not Required But Good to Have 00:00 Equipment Not Required But Good To Have 00:00 Creating An Account 00:00 Channel Status and Features 00:00 Setting The Upload Defaults 00:00 Setting Up the Branding 00:00 Creating an Associated Website Private Vs Unlisted Vs Public 00:00 Going Live From Your Desktop 00:00 Using the Events Tab 00:00 Advanced Info and Settings for Live Streaming 00:00 Google Hangout Settings 00:00 Google Hangout Left Margin Tools 00:00 Starting the Hangout for Live 00:00 Google Slides-Alternative to Using Chat 00:00 Restream For Facebook Live and YouTube Live Simultaneous Streaming 00:00 Streaming Through Mobile 00:00 Conclusion 00:00 Advanced Overview 00:00 Your Direct Shareable Link 00:00 Embedding Your Live Stream 00:00 Embedding Your Live Stream on Social Media 00:00 Excerpted Videos On Social Media 00:00 Channel Promotional Tools - Part 1 00:00 Channel Promotional Tools - Part 2 00:00 Creating A Channel Trailer 00:00 Create a Subscribe Link 00:00 Blurring Out Information In Your Recording 00:00 Thumbnails 00:00 End Screens 00:00 Cards 00:00 Subtitles and Closed Captions 00:00 Setting Up Playlists 00:00 Advanced Settings and Increased Viewers 00:00 Community Subscriptions 00:00 Adding Audio 00:00 Channel URL 00:00 Conclusion 00:00
Podcast Launchpad: Mastering iTunes Broadcasting
By Compete High
ð Podcast Launchpad: Mastering iTunes Broadcasting ð Are you ready to catapult your voice into the digital airwaves and make a lasting impact? Introducing the ultimate online course designed to transform your podcasting dreams into reality - Podcast Launchpad: Mastering iTunes Broadcasting! ðï¸ Unlock the Power of Your Voice In a world where attention is a precious commodity, your message deserves to be heard. Whether you're a seasoned content creator or a podcasting newbie, this comprehensive course is your ticket to mastering the art of iTunes broadcasting. Unleash the power of your voice, captivate your audience, and establish your presence in the thriving podcasting landscape. ð¥ What's Inside the Launchpad? â Module 1: Podcasting Essentials Lay the groundwork for a successful podcast. Crafting a compelling podcast concept. Understanding your target audience. â Module 2: Production Perfection Mastering audio recording techniques. Editing like a pro with industry-standard software. Creating captivating intros and outros. â Module 3: iTunes Optimization Navigating the iTunes podcasting landscape. Crafting attention-grabbing podcast titles and descriptions. Leveraging keywords to boost discoverability. â Module 4: Building a Loyal Audience Strategies for promoting your podcast on social media. Building a community around your brand. Monetization opportunities for your podcast. â Module 5: Launching Like a Pro Creating a buzz before your first episode drops. Leveraging launch strategies for maximum impact. Turning first-time listeners into loyal subscribers. ð Your Podcasting Journey Begins Here! Don't miss your chance to become a podcasting sensation. Join Podcast Launchpad today and transform your passion into a powerful, influential voice on iTunes. Take the leap and let the world hear your story! ð Enroll Now and Let Your Voice Soar! Course Curriculum Basic Overview 00:00 Minimum Hardware Solution 00:00 Minimum Software Solution 00:00 Audacity Audio Creation 00:00 Camtasia Audio Content Creation 00:00 Anchor.fm Audio Content Creation 00:00 Blogtalkradio-Audio-Content-Creation 00:00 freeconferencecall-audio-content-creation 00:00 Skype - Audio Content Creation 00:00 GoToWebinar - Audio Content Creation 00:00 Repurpose Live Video Into Audio 00:00 Repurpose Live Vide Into Audio - Part 2 00:00 Repurpose Live Vide Into Audio - Part 2 00:00 Audio Editing and Addition of Intro 00:00 Audio Editing - Noise Reduction 00:00 Podcast Hosting 00:00 Podcast Artwork 00:00 Submitting Your Podcast - Part 1 00:00 Submitting Your Podcast - Part 2 - Hosting Sites 00:00 Conclusion 00:00 Advanced Overview 00:00 Your Podcast Website 00:00 Turning Your Podcast Into Video 00:00 Promoting Your Podcast On YouTube - Part 1 00:00 Promoting Your Podcast Video On YouTube 00:00 Promoting Your Podcast Video on YouTube - Part 2 00:00 Promoting Your Podcast In Your Twitter Account 00:00 Promoting Your Podcast on Pinterest 00:00 Promoting Your Content On LinkedIn 00:00 Promoting Your Podcast to Facebook - Part 1 00:00 Promoting Your Podcast on Facebook - Part 2 00:00 Creating Your Podcast Transcript 00:00 Promoting Your Podcast On Your Website 00:00 Promoting Your Podcast Offline - QR Code 00:00 Building Your E-Mail Subscriber List - Part 1 00:00 Building Your E-Mail Subscriber List - Part 2 00:00 Building Your E-Mail Subscriber List - Part 3 00:00 Monetizing Your Podcast - Part 1 00:00 Monetizing Your Podcast - Part 2 00:00 Conclusion 00:00
IP broadcast training course description A current hot topic in recent years has been the provision of multimedia services over IP networks aka triple or quadruple play. This course investigates the characteristics of video transmission and then studies the impact on IP networks. What will you learn Use Wireshark to analyse and troubleshoot TV streams. Describe techniques, which can be used in IP to provide low uniform delay. Evaluate IPTV technologies. Design data networks, which will support IPTV. IP broadcast training course details Who will benefit: Anyone working in broadcast. Prerequisites: TCP/IP foundation for engineers Duration 3 days IP broadcast training course contents What is IPTV? What is IP? What is TV? Pixels, frames, colour, digital modulation, digital video broadcasting. SDTV, HDTV, 4K. IPTV architectures, Contribution, distribution, delivery. IPTV standards. Hands on Base IP connectivity, VLC. IPTV protocol stacks IP, TCP, UDP, RTP. IPv6. HTTP. Bandwidth requirements. Hands on IPTV bandwidth calculations. Video codecs What is a CODEC, pictures and audio, digitisation, sampling, quantisation, encoding, compressing. MPEG, bit rates, resolution. I, B, P frames, GOP. MPEG 2, MPEG 4, H.264, H.265, VP9, AV1. Hands on Analysing MPEG frames. IP issues Quality vs. bandwidth. Bandwidth, delay, latency, jitter, signalling. Routers. Hands on Analysing jitter and other performance issues. IPTV performance and QoS IP DSCP field, queuing strategies; FIFO, WFQ, custom, priority, RED. Differentiated services, Diffserv. 802.1Q. Traffic shaping. QoE. Hands on best effort versus prioritisation. UDP versus TCP Reliable, unreliable, connection oriented, connectionless. Broadcasts, multicasts and unicasts. TCP flow control, TCP and performance. Hands on TCP window sizes. RTP RTP, ports, mixers, translators, RTCP, SMPTE, FEC. Hands on RTP analysis with Wireshark. Multicasting Multicasting compared to unicasting and broadcasting, when to use and when not to use multicasting. IGMP, PIM-SM, SSM. MLD. Hands on Analysing multicast streams. OTT TV HTTP, HTTPS, Chunked HTTP. Adaptive streaming. HTML5. DASH vs HLS. Hands on Analysing HTTP streams. Security Firewalls, TLS, DRM, watermarking. Encryption. Geolocation. VPNs. IPTV architecture and other protocols Content providers, Service providers, delivery networks, home networks. Caching, Service discovery. RTSP. SAP, SDP. DHCP, DNS, NTP
IPTV training course description A current hot topic in recent years has been the provision of multimedia services over IP networks aka triple or quadruple play. This course investigates the characteristics of video transmission and then studies the impact on IP networks. What will you learn Use Wireshark to analyse and troubleshoot TV streams. Describe techniques, which can be used in IP to provide low uniform delay. Evaluate IPTV technologies. Design data networks, which will support IPTV. IPTV training course details Who will benefit: Anyone working with IPTV. Prerequisites: TCP/IP Foundation for engineers Intro to data communications & networking. Duration 3 days IPTV training course contents What is IPTV? What is IP? What is TV? Pixels, frames, colour, digital modulation, digital video broadcasting. SDTV, HDTV, 4K. IPTV architectures, Contribution, distribution, delivery. IPTV standards. Hands on Base IP connectivity, VLC. IPTV protocol stacks IP, TCP, UDP, RTP. IPv6. HTTP. Bandwidth requirements. Hands on IPTV bandwidth calculations. Video codecs What is a CODEC, pictures and audio, digitisation, sampling, quantisation, encoding, compressing. MPEG, bit rates, resolution. I, B, P frames, GOP. MPEG 2, MPEG 4, H.264, H.265, VP9, AV1. Hands on Analysing MPEG frames. IP issues Quality vs. bandwidth. Bandwidth, delay, latency, jitter, signalling. Routers. Hands on Analysing jitter and other performance issues. IPTV performance and QoS IP DSCP field, queuing strategies; FIFO, WFQ, custom, priority, RED. Differentiated services, Diffserv. 802.1Q. Traffic shaping. QoE. Hands on best effort versus prioritisation. UDP versus TCP Reliable, unreliable, connection oriented, connectionless. Broadcasts, multicasts and unicasts. TCP flow control, TCP and performance. Hands on TCP window sizes. RTP RTP, ports, mixers, translators, RTCP, SMPTE, FEC. Hands on RTP analysis with Wireshark. Multicasting Multicasting compared to unicasting and broadcasting, when to use and when not to use multicasting. IGMP, PIM-SM, SSM. MLD. Hands on Analysing multicast streams. OTT TV HTTP, HTTPS, Chunked HTTP. Adaptive streaming. HTML5. DASH vs HLS. Hands on Analysing HTTP streams. Security Firewalls, TLS, DRM, watermarking. Encryption. Geolocation. VPNs. IPTV architecture and other protocols Content providers, Service providers, delivery networks, home networks. Caching, Service discovery. RTSP. SAP, SDP. DHCP, DNS, NTP Hands on Fixing the network.
Bluetooth training course description Bluetooth is used by many kids these days but is probably under-utilised in business environments. This hands on training course provides an overview of what Bluetooth is, how it works, what it can be used for and how to configure it on different devices. What will you learn Explain what Bluetooth is. Describe the Bluetooth protocol stack. Recognise the applications of Bluetooth. Configure Bluetooth. Bluetooth training course details Who will benefit: Anyone who needs to know more about Bluetooth. Prerequisites: None. Duration 2 days Bluetooth training course contents Classic Bluetooth Bluetooth overview Basics, standards, competing technologies. Bluetooth radio RF bands, power losses, frequency hopping. Bluetooth modulation PSK, DPSK, DPQSK. Bluetooth data transfer FH, TDD, FDMA, ACL, SCO, Bluetooth packets. Making connections Piconets, Scatternets, Pairing The protocol stack Baseband, Link Manager, L2CAP, SDP, GAP, RFCOMM. Profiles FTP, DUN, LAN, Synch, HDP, GOEP/OBEX etc. Security Authentication, authorisation, encryption, risks. Bluetooth Low Energy Introduction Bluetooth Smart and Bluetooth Smart Ready. BLE device types Design goals, terminology and core concepts. BLE usage models Presence detection, data broadcasting connectionless models, gateways. BLE architecture Controller, host, applications and stack splits. BLE protocol stack Link layer, HCI, L2CAP. BLE profiles GAP roles, models, procedures, security modes, data advertising. BLE security Pairing, bonding, data signing BLE applications Devices, services, profiles, peripherals
Video conferencing over IP course description A current hot topic in recent years has been the provision of multimedia services over IP networks - triple play. This course investigates the characteristics of video transmission and then studies the impact on IP networks. What will you learn Describe the issues of video and data convergence. Describe techniques, which can be used in IP to provide low uniform delay. Evaluate video technologies. Design data networks, which will support video.. Video conferencing over IP course details Who will benefit: Technical staff. Prerequisites: TCP/IP fundamentals Intro to data communications & networking Duration 3 days Video conferencing over IP course contents Review Traditional video, digital video, video formats, MPEG, brief review of IP, Uses of video: downloading, streaming, TV, CCTV, conferencing. Video over IP issues Delivery methods: FTTH, ADSL, VDSL, 3G and others. Bandwidth, delay, jitter, signalling. Digitising video, CODECS, packetising video, comparison of techniques. IP performance and QOS IP TOS field, queuing strategies; FIFO, WFQ, custom, priority, RED. Differentiated services, diffserv. Video over IP protocol stack RTP, RTCP, mixers and translators, RSVP. IPv6. Conferencing Traditional solutions, Video conferencing over IP, point to point, multipoint, architectures, bridges. IETF - Session Initiation Protocol Comparison with H.323, SIP proxy, proxy server, redirect server. SDP. Multicasting Multicasting compared to unicasting and broadcasting, when to use and when not to use multicasting. IGMP, DVMRP, PIM. Security Impact of firewalls and NAT, ISMA, DRM, DTCP.
NTP and PTP training course description This course looks at timing and synchronization as provided by NTP and PTP. Hands on sessions primarily involve using Wireshark to analyse the protocols. What will you learn Recognise the importance of timing and synchronisation. Explain how NTP works. Explain how PTP works. NTP and PTP training course details Who will benefit: Anyone using NTP or PTP but particularly relevant for those in the broadcast industry. Prerequisites: TCP/IP foundation for engineers Duration 1 day NTP and PTP training course contents Introduction Clock drift. Timing and synchronization. Importance in computing. Importance in broadcasting. NTP NTP versions, v0 to v4. Architecture. The intersection algorithm. Accuracy. Clock strata, Stratum 0, 1, 2 and 3. Protocol modes. Hands on NTP configuration More NTP NTP packet header. Timestamps. Variables in the header. Clock synchronization algorithm. SNTP. The Windows Time service. Hands on Wireshark and NTP analysis. PTP PTP v2, IEEE 1588. Architecture. Accuracy. Synchronization with PTP. Offset and delay. Hands on Analysing PTP packet flows. More PTP Ordinary clocks, boundary clocks, masters and grandmasters. PTP specific switch types. Hardware time stamping. SMPTE ST2059-2. PTP packet header. PTP domains. Best master clock algorithm. Hands on More Wireshark and PTP.
Servlets and JSP Tutorial for Beginners
By Packt
Learning about Servlets and JSP lays a great foundation for learning all modern-day frameworks. In this course, we will start by talking about some network components and understand the basics of networking with simple real-world examples. And then, we will jump into some good examples of network programming.
Sports Marketing
By RapidEDX
Sports Marketing course will teach you how to use marketing principles to gain a better understanding of the sports industry and how to capitalize on it.
