HTTP streaming training course description This course looks at the delivery of video streams using HTTP adaptive streaming. Both MPEG DASH and HLS are investigated. Hands on sessions primarily involve using Wireshark to analyse streams. What will you learn Use Wireshark to analyse and troubleshoot HTTP video streams. Explain HTTP adaptive streaming works. Evaluate and compare MPEG DASH and HLS. Use tools to create HTTP adaptive streams. HTTP streaming training course details Who will benefit: Anyone working in the broadcast industry. Prerequisites: TCP/IP foundation for engineers Duration 2 days HTTP streaming training course contents What is HTTP streaming? The old way. Progressive downloads versus streaming. Why not UDP and RTP for delivery? Adaptive bit rate streaming. Standards. Hands on Base network setup. Using WireShark for HTTP streams. HTTP protocol stack IP, TCP, IPv6. HTTP. HTTP 1.0, HTTP 1.1, HTTP 2.0, HTTP header fields. HTML 5. Hands on Analysing HTTP. Adaptive bitrate streaming principles Chunks, fragments, segments. Manifest files. Encoding, resolution, bitrates. Addressing, relative and absolute URLs, redirection. When does the client switch streams? Switch points. Hands on Walk through of client behaviours on a stream. HTTP streaming architecture Server components, distribution components, client software. CDN, caching, multiple servers. Hands on Analysing CDN and Internet delivery. TCP and HTTP streaming interactions TCP ACK, TCP connections, unicast only. TCP flow control, TCP and performance. Hands on TCP window sizes. MPEG DASH Stakeholders, DASH architecture and model, codec agnostic, XML, Media Presentation Description, Media Presentation, segment formats. Hands on MPEG DASH analysis. HTTP Live Streaming and others Stakeholders. Media segments, media playlists, master playlists. Adobe HTTP dynamic streaming, Microsoft smooth streaming. Hands on Analysing HLS. Tools mp4dash, mp4fragment, libdash. Apple developer tools for HLS. Hands on Creating segmented content. Security HTTPS, encryption, content protection. Hands on Encryption analysis. Summary Choosing a streaming method. Impact of live versus VoD. Web sockets.
OTT TV for engineers course description This course covers OTT TV by primarily looking at the delivery of video streams using HTTP adaptive streaming. Both MPEG DASH and HLS are investigated. Hands on sessions involve using Wireshark to analyse streams as well as crafting segmented content. What will you learn Explain what OTT TV is, and how it works. Describe the OTT TV architecture. Use Wireshark to analyse and troubleshoot OTT video streams. Explain how HTTP adaptive streaming works. Evaluate and compare MPEG DASH and HLS. Use tools to create OTT TV adaptive streams. OTT TV for engineers course details Who will benefit: Anyone working in the broadcast industry. Prerequisites: TCP/IP foundation for engineers. Duration 2 days OTT TV for engineers course contents What is OTT TV? Brodeo providers vs ISPs. Progressive downloads versus streaming. Why not UDP and RTP for delivery? Adaptive bit rate streaming. Standards. Hands on: Base network setup. Using WireShark for HTTP streams. HTTP protocol stack IP, TCP, IPv6. HTTP. HTTP 1.0, HTTP 1.1, HTTP 2.0, HTTP header fields. HTML 5. Hands on: Analysing HTTP. Adaptive bitrate streaming principles Chunks, fragments, segments. Manifest files. Encoding, resolution, bitrates. Addressing, relative and absolute URLs, redirection. When does the client switch streams? Switch points. Hands on: Walk through of client behaviours on a stream. OTT TV streaming architecture Server components, distribution components, client software. CDN, caching, multiple servers. Hands on: Analysing CDN and Internet delivery. TCP and HTTP streaming interactions TCP ACK, TCP connections, unicast only. TCP flow control, TCP and performance. Hands on: TCP window sizes. MPEG DASH Stakeholders, DASH architecture and model, codec agnostic, XML, Media Presentation Description, Media Presentation, segment formats. Hands on: MPEG DASH analysis. HTTP Live Streaming and others Stakeholders. Media segments, media playlists, master playlists. Adobe HTTP dynamic streaming, Microsoft smooth streaming. Hands on: Analysing HLS. Tools mp4dash, mp4fragment, libdash. Apple developer tools for HLS. Hands on: Creating segmented content. Security HTTPS, encryption, content protection. Hands on: Encryption analysis. Summary Choosing a streaming method. Impact of live versus VoD. Web sockets.
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.
LOOKING FOR: MG, YA AND ADULT SCI-FI / FANTASY, CHILDREN'S NON-FICTION After graduating from St Andrews University with a degree in English Literature and Art History, Maddy followed her love of literature to an internship at non-fiction literary agency Graham Maw Christie. At GMC, Maddy worked her way up to Agent and built a list of authors who wrote for both for adults and children, spanning history, tarot, and nature writing. An avid reader of anything magical, Maddy joined Madeleine Milburn in 2022 to build a list specialising in SFF. Maddy would like to see SFF across all genres for all ages, including: grim dark, thriller, historical, romance, cosy fantasy, sci-fi, epic, YA fantasy, dark academia, contemporary fantasy, fantasy middle-grade, mythology, fairy tale and queer fantasy. Inspiring children’s non-fiction. She loves worlds to get lost in, adventures that transform what it means to be a hero, and unique magic that offers as many problems as solutions. She likes books that make her cry and books that change her mind. Above all, when she finishes a story about another world, she wants it to have taught her a lesson which helps her live in this one. She loves all fantasy, but favours richly imagined, complex worlds with a history to discover and a future to protect. Worldbuilding is one of her favourite aspects of this genre and she is always looking for a new, dense world with series potential. Think Brandon Sanderson’s Cosmere or the Marvel Cinematic Universe – the bigger the better! Maddy also likes character-driven fantasy with a diverse cast to root for (or root against) and she wants to see a range of different relationships depicted authentically. She particularly like epics that dip into big, universal themes such as grief, climate change, or war and which ask impossible questions in the vein of R.F. Kuang or N.K. Jemisin. She is also excited by authors that play with form and language in a fantasy setting. In YA, she is looking for much the same as in an adult fantasy, but with younger protagonists and a closer focus on relationships. She wants to see the tropes she knows and loves in new and exciting forms and her favourite YA books often centre around belonging and becoming. She likes a dash of romance in everything, because she is sentimental that way, but it’s particularly important in the YA space. Sci-fi is a big passion of hers, especially when it comes with a strong hook. She is a huge fan of Becky Chamber’s The Long Way to a Small Angry Planet and Michaiah Johnson’s The Space Between Worlds. She likes space as a metaphor, and would love something that explores different alien species. Please send her your space operas and sci-fi romances which combine space, magic and mayhem! In fantasy middle grade, she favours whimsy and animal companions; she would love to follow a group of kids through magic school. She tends to look for plenty of humour with a strong friendship at the centre, and she wants middle grade stories which engage with the concerns of children growing up as well as offering an all-important escape (preferably on a dragon/unicorn’s back). She is also looking for children’s non-fiction for all ages. In this space, she wants something as creative as it is informative, and thinks diverse voices are increasingly important. Maddy would like you to submit a covering letter, one page synopsis and the first three chapters (Max 5000 words) of your completed manuscript in a single word document. (In addition to the paid sessions, Maddy is kindly offering one free session for low income/under-represented writers. Please email agent121@iaminprint.co.uk to apply, outlining your case for this option which is offered at the discretion of I Am In Print). By booking you understand you need to conduct an internet connection test with I Am In Print prior to the event. You also agree to email your material in one document to reach I Am In Print by the stated submission deadline and note that I Am In Print take no responsibility for the advice received during your agent meeting. The submission deadline is: Wednesday 17th September 2025
Duration 3 Days 18 CPD hours This course is intended for This course is geared for Python experienced attendees who wish to learn and use basic machine learning algorithms and concepts. Students should have skills at least equivalent to the Python for Data Science courses we offer. Overview Working in a hands-on learning environment, guided by our expert team, attendees will learn to Understand the main concepts and principles of predictive analytics Use the Python data analytics ecosystem to implement end-to-end predictive analytics projects Explore advanced predictive modeling algorithms w with an emphasis on theory with intuitive explanations Learn to deploy a predictive model's results as an interactive application Learn about the stages involved in producing complete predictive analytics solutions Understand how to define a problem, propose a solution, and prepare a dataset Use visualizations to explore relationships and gain insights into the dataset Learn to build regression and classification models using scikit-learn Use Keras to build powerful neural network models that produce accurate predictions Learn to serve a model's predictions as a web application Predictive analytics is an applied field that employs a variety of quantitative methods using data to make predictions. It involves much more than just throwing data onto a computer to build a model. This course provides practical coverage to help you understand the most important concepts of predictive analytics. Using practical, step-by-step examples, we build predictive analytics solutions while using cutting-edge Python tools and packages. Hands-on Predictive Analytics with Python is a three-day, hands-on course that guides students through a step-by-step approach to defining problems and identifying relevant data. Students will learn how to perform data preparation, explore and visualize relationships, as well as build models, tune, evaluate, and deploy models. Each stage has relevant practical examples and efficient Python code. You will work with models such as KNN, Random Forests, and neural networks using the most important libraries in Python's data science stack: NumPy, Pandas, Matplotlib, Seabor, Keras, Dash, and so on. In addition to hands-on code examples, you will find intuitive explanations of the inner workings of the main techniques and algorithms used in predictive analytics. The Predictive Analytics Process Technical requirements What is predictive analytics? Reviewing important concepts of predictive analytics The predictive analytics process A quick tour of Python's data science stack Problem Understanding and Data Preparation Technical requirements Understanding the business problem and proposing a solution Practical project ? diamond prices Practical project ? credit card default Dataset Understanding ? Exploratory Data Analysis Technical requirements What is EDA? Univariate EDA Bivariate EDA Introduction to graphical multivariate EDA Predicting Numerical Values with Machine Learning Technical requirements Introduction to ML Practical considerations before modeling MLR Lasso regression KNN Training versus testing error Predicting Categories with Machine Learning Technical requirements Classification tasks Credit card default dataset Logistic regression Classification trees Random forests Training versus testing error Multiclass classification Naive Bayes classifiers Introducing Neural Nets for Predictive Analytics Technical requirements Introducing neural network models Introducing TensorFlow and Keras Regressing with neural networks Classification with neural networks The dark art of training neural networks Model Evaluation Technical requirements Evaluation of regression models Evaluation for classification models The k-fold cross-validation Model Tuning and Improving Performance Technical requirements Hyperparameter tuning Improving performance Implementing a Model with Dash Technical requirements Model communication and/or deployment phase Introducing Dash Implementing a predictive model as a web application Additional course details: Nexus Humans Hands-on Predicitive Analytics with Python (TTPS4879) training program is a workshop that presents an invigorating mix of sessions, lessons, and masterclasses meticulously crafted to propel your learning expedition forward. This immersive bootcamp-style experience boasts interactive lectures, hands-on labs, and collaborative hackathons, all strategically designed to fortify fundamental concepts. Guided by seasoned coaches, each session offers priceless insights and practical skills crucial for honing your expertise. Whether you're stepping into the realm of professional skills or a seasoned professional, this comprehensive course ensures you're equipped with the knowledge and prowess necessary for success. While we feel this is the best course for the Hands-on Predicitive Analytics with Python (TTPS4879) course and one of our Top 10 we encourage you to read the course outline to make sure it is the right content for you. Additionally, private sessions, closed classes or dedicated events are available both live online and at our training centres in Dublin and London, as well as at your offices anywhere in the UK, Ireland or across EMEA.
Duration 1 Days 6 CPD hours We?ve all met that dynamic, charismatic person that just has a way with others, and has a way of being remembered. This workshop will help participants work towards being that unforgettable person by providing communication skills, negotiation techniques, tips on making an impact, and advice on networking and starting conversations. 1 - Getting Started Icebreaker Housekeeping Items The Parking Lot Workshop Objectives 2 - Verbal Communication Skills Listening and Hearing: They Aren?t the Same Thing Asking Questions Communicating with Power 3 - Non-Verbal Communication Skills Body Language The Signals You Send to Others It?s Not What You Say, It?s How You Say It 4 - Making Small Talk and Moving Beyond The Four Levels of Conversation 5 - Moving the Conversation Along Asking for Examples Using Repetition Using Summary Questions Asking for Clarity and Completeness 6 - Remembering Names Creating a Powerful Introduction Using Mnemonics Uh-Oh?I?ve Forgotten Your Name 7 - Influencing Skills Seeing the Other Side Building a Bridge Giving In Without Giving Up 8 - Bringing People to Your Side A Dash of Emotion Plenty of Facts Bringing It All Together 9 - Sharing Your Opinion Using I-Messages Disagreeing Constructively Building Consensus 10 - Negotiation Basics Preparation Opening Bargaining Closing 11 - Making An Impact Creating a Powerful First Impression Assessing a Situation Being Zealous without Being Offensive 12 - Wrapping Up Words from the Wise Review of Parking Lot Lessons Learned Completion of Action Plans and Evaluations
Duration 1 Days 6 CPD hours This course is intended for This workshop will give any leader tools to implement changes more smoothly and to have those changes better accepted. Overview This workshop will also give all participants an understanding of how change is implemented and some tools for managing their reactions to change. This workshop will also give all participants an understanding of how change is implemented and some tools for managing their reactions to change. Getting Started Icebreaker Housekeeping Items The Parking Lot Workshop Objectives Preparing for Change Defining Your Strategy Building the Team Identifying the WIFM What's in it for Me? Building Support Understanding Change Influences on Change Common Reactions to Change Tools to Help the Change Process Managing the Change Change Readiness Audit Stakeholder analysis Developing a Change Management Plan Developing a Communication Plan Implementing the Plans Gaining Support Gathering Data Addressing Concerns and Issues Evaluating and Adapting Making it All Worthwhile Leading Status Meetings Celebrating Successes Sharing the Results and Benefits Using Appreciative Inquiry The Four Stages The Purposes of Appreciative Inquiry Examples and Case Studies Bringing People to Your Side A Dash of Emotion Plenty of Facts Building Resiliency What is Resiliency? Why is It Important? Five Easy Steps for the Leader and the Individual Building Flexibility What is Flexibility? Why is it Important? Five Easy Steps for the Leader and the Individual Wrapping Up Words from the Wise Review of Parking Lot Lessons Learned Additional course details: Nexus Humans Change Management training program is a workshop that presents an invigorating mix of sessions, lessons, and masterclasses meticulously crafted to propel your learning expedition forward. This immersive bootcamp-style experience boasts interactive lectures, hands-on labs, and collaborative hackathons, all strategically designed to fortify fundamental concepts. Guided by seasoned coaches, each session offers priceless insights and practical skills crucial for honing your expertise. Whether you're stepping into the realm of professional skills or a seasoned professional, this comprehensive course ensures you're equipped with the knowledge and prowess necessary for success. While we feel this is the best course for the Change Management course and one of our Top 10 we encourage you to read the course outline to make sure it is the right content for you. Additionally, private sessions, closed classes or dedicated events are available both live online and at our training centres in Dublin and London, as well as at your offices anywhere in the UK, Ireland or across EMEA.
Touch Typing Essentials Course Overview The "Touch Typing Essentials" course is designed to help learners develop efficient and accurate typing skills. Covering all aspects of typing from basic finger positioning to typing punctuation and capital letters, this course is perfect for those who want to improve their typing speed and accuracy. Learners will gain a solid foundation in touch typing, enabling them to type confidently without looking at the keyboard. Whether you're a student, a professional, or anyone looking to improve your typing ability, this course will equip you with the skills necessary to type efficiently, leading to increased productivity and confidence in digital communication. Course Description This course provides a structured approach to mastering touch typing. It covers everything from setting up your computer for optimal typing to learning how to type individual letters, punctuation, and even capital letters. Each module focuses on building muscle memory for each key, ensuring learners develop speed and accuracy with each finger movement. Throughout the course, learners will be encouraged to practice regularly to improve typing speed while maintaining correct posture and ergonomics. By the end of the course, learners will have gained the skills needed to type quickly and efficiently, improving their overall digital literacy. Whether for personal development or professional purposes, this course prepares learners for success in today's fast-paced digital world. Touch Typing Essentials Curriculum Module 01: Introduction Module 02: How to Set up Your Computer Module 03: How to type the letters F and J Module 04: How to type the letters D and K Module 05: How to type the letters S and L Module 06: How to type the letter A and ; (semicolon) Module 07: How to type the letters E and I Module 08: How to type the letters R and U Module 09: How to type the letters T and O Module 10: How to type CAPITAL letters Module 11: How to type the letter C and , (Comma) Module 12: How to type the letters G and H Module 13: How to type the letters N and V Module 14: How to type the letters W and M Module 15: How to type the letters Q and P Module 16: How to type the letters B and Y Module 17: How to type the letters Z and X Module 18: How to type Colon and Semicolon Module 19: How to type Full Stop and Comma Module 20: How to type Question Mark and Exclamation Mark Module 21: How to type Dash, Parentheses and Quotation Marks (See full curriculum) Who is this course for? Individuals seeking to improve typing speed and accuracy. Professionals aiming to enhance productivity and efficiency. Beginners with an interest in improving digital literacy. Students preparing for academic or professional typing requirements. Career Path Administrative Assistant Data Entry Clerk Executive Assistant Virtual Assistant Customer Service Representative Content Writer Transcriptionist
Data dashboards provide key information to stakeholders so that they can make informed decisions. While there are plenty of software solutions for building these essential data products, there is much less guidance on how to design dashboards to meet the diverse needs of users. This course is for anyone who is building or implementing dashboards, and wants to know more about design principles and best practice. You could be using business intelligence software (such as Power BI or Tableau), or implementing bespoke solutions. The course will give your team the ability to evaluate user needs and levels of understanding, make informed decisions about chart selections, and make effective use of interactivity dynamic data. We’ll work with you before the course to ensure that we understand your organisation and what you’re hoping to achieve. Sample learning content Session 1: Data with a purpose Understanding the different types of dashboard. Information overload and other common dashboard pitfalls. Assessing user needs and levels of data fluency. Session 2: Planning a dashboard Assessing diverse user needs and levels of data fluency. Taking a User Experience (UX) approach to design and navigation. Applying an interative and collaborative approach to onboarding. Session 3: Graphs, charts and dials Understanding how graphical perception informs chart choices. Making intelligent design choices to help users explore. Design principles for layout and navigation. Session 4: Using interactivity Making effective use of filters to slice and dice data sets. Using layers of information to enable drilldown data exploration. Complenting dashboards with automated alerts and queries. Delivery We deliver our courses over Zoom, to maximise flexibility. The training can be delivered in a single day, or across multiple sessions. All of our courses are live and interactive – every session includes a mix of formal tuition and hands-on exercises. To ensure this is possible, the number of attendees is capped at 16 people. Tutor Alan Rutter is the founder of Fire Plus Algebra. He is a specialist in communicating complex subjects through data visualisation, writing and design. He teaches for General Assembly and runs in-house training for public sector clients including the Home Office, the Department of Transport, the Biotechnology and Biological Sciences Research Council, the Health Foundation, and numerous local government and emergency services teams. He previously worked with Guardian Masterclasses on curating and delivering new course strands, including developing and teaching their B2B data visualisation courses. He oversaw the iPad edition launches of Wired, GQ, Vanity Fair and Vogue in the UK, and has worked with Condé Nast International as product owner on a bespoke digital asset management system for their 11 global markets. Testimonial “Alan was great to work with, he took us through the concepts behind data visualisation which means our team is now equipped for the future. He has a wide range of experience across the topic that is delivered in a clear, concise and friendly manner. We look forward to working with Alan again in the future.” John Masterson | Chief Product Officer | ImproveWell