Mentoring is often a crucial, yet informal part of an organization¿s best practices and skill development, whether targeted towards a team lead, project manager, designer, developer or a valued senior team member. This book provides practical strategies and methodologies for professionals to mentor others to successfully develop and deliver digital media projects across different types of settings.Many professionals working with teams in the digital media industry (games, web development, XR, IoT, mobile) are drawn to teaching others, but may not know how or where to start. Many might be a subject expert but may not have the structure and skills in place to be able to teach others effectively in workplace and institutional settings. This handbook will give professionals a guide on how to mentor junior designers, developers and other learners in formal and informal learning environments. Mentoring Digital Media Projects offers the right tools and strategies to use in digital media and emerging tech projects for you to better guide junior team members What You'll LearnUnderstand the difference between mentoring and teachingDesign thinking strategies to better identify where, when and how you can help and mentor othersBuild mentoring pipelines, end-to end, especially in post-secondary learning environmentsCreate emerging technology projects with teamsWho This Book Is ForDigital media professionals (game, web development, XR, mobile, IoT, etc.) who have experience working in teams in their specific discipline and who want to mentor others.
Know how Serverless and cloud-native systems work, their benefits and roles in automating and optimizing organizations, and the challenges to be considered. Anyone interested in Serverless architecture will benefit from this book, regardless of their level of technical understanding.This revised and expanded new edition explains many related terms, such as microservices, cloud-native, architecture, several relevant AWS services, and how it all works together to produce cost-effective, scalable solutions in the cloud. The book starts at a high level and gradually gets more in-depth and technical.The less technical decision maker will learn how Serverless can affect finance, security, people, and compliance. The book touches on important decisions, such as selecting and working with external or internal specialists and teams; finding, evaluating, and training them; and the flexibility and dynamics available within digital projects.Deployment automation and DevOps also feature heavily in this book, and you will find real-world use cases and examples of Serverless architecture to get you started. It's worth noting that this book is not a development guide; it gives you a comprehensive understanding of what Serverless is so you can make informed decisions for your organization and projects.What Yoüll LearnUnderstand Serverless architecture and strategyUnderstand modern cloud management strategy, governance, and organizational team structureHandle budget planning and managementGet started with Serverless architecture designGain knowledge of best practices and security, as well as data management and DevOpsStudy proactive logging, operations, architecture examples, case studies, and moreWho This Book Is ForAnyone interested in a deep understanding of Serverless and how it canimpact organizations and projects, regardless of their technical level. Strategic insights are provided for entrepreneurs and executives, planning and team insights for project managers, and technical insights for architects and team leads. Cloud consultants working with enterprises can read everything for a full, in-depth understanding of the topic. Other readers, such as less technical CTOs/CIOs, VPs, entrepreneurs, product owners, project managers, etc., can get what they need from the first 5-7 chapters. More technical readers and those experienced with Serverless can skim through the first 3 chapters and start with the security deep dive in Chapter 4.
Beginning-Intermediate user level
Unlike other resources that target only programming communities, this book targets both programming and business communities. With programming models shifting more towards no-code and low-code, citizen programmers from the business side will welcome this book as a guide for how to design and optimize their information pipeline while lowering costs for infrastructure. Programmers, on the other hand, will welcome this book's business-centric programming view, which will get them a step closer to fulfilling real business requirements.Practical Spring Cloud Function touches on the themes of portability, scalability, high performance and high availability. Each theme is explored via a real enterprise use case and code. The use cases target industries including energy (oil pipeline sensors), automotive (event-driven connected vehicles), and retail (conversational AI).After reading this book, you'll come away with the know-how to build and deploy cloud-native Javaapplications effectively and efficiently. What You Will LearnWrite functions and deploy to Amazon Web Services, Microsoft Azure, Google Cloud, IBM Cloud, and on-prem clouds such as VMWare Tanzu and RedHat OpenShiftSet up locally with KNative on Kubernetes, as well as on AWS, Azure, GCP, Tanzu, and othersBuild, test, and deploy a simple example with Spring Cloud FunctionDevelop an event-driven data pipeline with Spring Cloud FunctionIntegrate with AI and machine learning modelsApply Spring Cloud Function to the Internet of Things (IoT)Get industry-specific examples of Spring Cloud Function in actionWho This Book Is ForSoftware and cloud-native application developers with prior programming experience in the cloud and/or Spring Framework. DevOps professionals may find this book beneficial as well.
Up your game developer skills by learning game backend development with Microsoft Azure and PlayFab.Robust backend infrastructure support is essential for all modern games. Implementing game backend features became easier with the emergence of GBaaS (Game Backend-as-a-Service) providers and the advance of the cloud. Multiplayer gaming, leaderboards, game analytics, and virtual economies are all backed by cloud services.As a game developer, understanding core game backend features and implementation techniques is an important addition to your game developer skill set. Understanding game backend development will not only give you a competitive advantage, it will also eventually allow you to create better games. This book will help you get started. It teaches all the core concepts, using downloadable source code, so that you can experiment right away following a learning-by-doing approach.After reading this book, you will have a solid grasp of key game backend services and know how to implement them.What You Will LearnUnderstand core concepts around game backend developmentUse the PlayFab API to implement backend featuresBuild game backend infrastructure using Microsoft Azure cloud (architecture and implementation)Contrast the traditional Azure cloud- and PlayFab (GBaaS)-based implementations of game backend capabilitiesReuse source code to enable backend capability in your own gamesDiscover different ways for authenticating playersImplement a multiplayer game in Unity with the help of mirror networkingCreate a matchmaker to bring together players for an online game sessionEstablish leaderboards to reinforce player competitionBuild a virtual economy and monetize your gameSet up game analytics and gain insight into players¿ behaviorLet players communicate with each other by taking advantageof cognitive servicesLearn how to implement server-side custom game backend logicWho This Book Is ForGame developers who may be skilled in game development, but who possess little to no skills in GBaaS and cloud computing. This book is also for professionals working in the cloud solutions space who want to learn about the specific challenges of the gaming domain.
Gain complete understanding of electronic systems and their constituent parts. From the origins of the semiconductor industry right up until today, this book serves as a technical primer to semiconductor technology. Spanning design and manufacturing to the basic physics of electricity, it provides a comprehensive base of understanding from transistor to iPhone. Melding an accessible, conversational style with over 100 diagrams and illustrations, Understanding Semiconductors provides clear explanations of technical concepts going deep enough to fully explain key vernacular, mechanisms, and basic processes, without getting lost in the supporting theories or the theories that support the supporting theories. Concepts are tethered to the real world with crisp analysis of industry dynamics and future trends. As a break from the straight-ahead scientific concepts that keep the world of semiconductors spinning, Understanding Semiconductors is liberally sprinkled with apt analogies that elucidate difficult concepts. For example, when describing the relationship between voltage, current, power, and the flow of electricity through an electronic system, the book draws a parallel to a hot shower and the water utility system. Most of these are paired with clear visuals, giving you the best chance possible to absorb the concept at hand before moving on to the next topic. Whether you're narrowly technical or don't know silicon from silly putty, working directly in hardware technologies and want to know more, or simply a curious person seeking hard information about the technology that powers the modern world, Understanding Semiconductors will be an informative, dependable resource. What You'll Learn: Charge, Electricity, and Basic Physics What are Semiconductors The Semiconductor Value Chain and Design Trade-Offs Transistors and Other Common Circuit Building Blocks Semiconductor Design from Concept to Tapeout Wafer Fabrication and Semiconductor Manufacturing Process Integrated Circuit (IC) Packaging and Signal & Power Integrity (SIPI) Common Circuits and System Components RF and Wireless Technologies System Architecture and Integration The Semiconductor Industry - Challenges, History, and Trends The Future of Semiconductors and Electronic Systems Who This Book Is For: People working directly in the semiconductor, electronics, and hardware technologies fields or in supporting industries, hobbyists and new electrical engineering enthusiasts with minimal technical experience or pre-existing qualifications, and curious individuals interested in learning more about a fascinating area of technology. Though designed for a non- or semi-technical reader, engineers focused in one particular domain can also use this book to broaden their understanding in areas that aren't directly related to their core area of expertise.
¿Take advantage of layering and other digital techniques to create stunning, interactive compositions suitable for delivering instructional content and presentations on your iOS or Android device. This book shows you how to move from traditional paper and pen drawing to 3D content that can be interacted with by the viewer. Designed to be used on tablets, the Mental Canvas app is a reimagining of presentation software in the digital age that uses patented technology developed by a research team at Yale University. Whether producing concept drawings, storyboards, tutorials, sales presentations, or other forms of interactive media, yoüll learn the skills to transform boring presentations into something exciting and new! Yoüll create stunning panoramic views; allow viewers to move through your artwork with multiple scenes; publish to the web for viewing on any smart phone, tablet, or computer; import image files; and export animated fly-throughs as .mp4files. Mental Canvas can be used by individual creatives or as part of a collaborative design team sharing files between multiple devices giving global instructional design firms an edge over their competition. Provide fun, interactive, and engaging presentations and throw out those boring click-through, static presentations of the past. Business Dashboards, Organizational About Us pages, Sales presentations ¿ virtually whatever the organization¿s creatives can think up yoüll learn to develop in Mental Canvas!What You'll LearnUse layering to create stunning 3D effects in an otherwise static 2D imageImport and adapt existing images into your dynamic presentationCreate .mp4 fly-throughs that bring websites and presentations to life with videoWho This Book Is ForAny creative who wishes to build engaging and interactive presentations with their iOS or Android device.
Use the power of analytics, knowledge management, and discovery for improved employee retention and insight to the unique collaborative and learning needs of your organization using Viva, Microsoft¿s new employee experience platform.This book introduces you to the four central tenets of Microsoft Viva, a platform designed to improve communication, knowledge, learning, and insight within an organization. The authors, all Microsoft MVPs and early users of Viva, share their first-hand experiences and knowledge to teach you how to configure, utilize, and adopt Viva Topics, Viva Connections, Viva Learning, and Viva Insights to drive knowledge management and discovery within an organization. In Part I, you will learn how to classify data and topics within your organization, and learn how the use of AI can bring to life the discovery of knowledge and information related to people and other topics, allowing for better understanding and clarity of the content you see everyday. In Part II, you will learn how to bring the power of SharePoint Syntex and Viva Topics into Microsoft Teams. In Part III, you will learn how to build a shared learning portal in Microsoft Teams using your own training materials, or bringing in third-party resources such as LinkedIn Learning and Skillsoft to connect directly to your employees. Managers will appreciate the ability to assign learning topics to users and gain the skills needed to create a fundamental process around learning consolidation. In Part IV, you will be introduced to Viva Insights, and understand how to discover vital analytics for individuals, managers, and leaders. You will also learn how it supports your company¿s greatest asset, your employees.What You Will LearnUnderstand the basics of Viva to get up and running in no timeConfigure each vertical of Microsoft VivaKnow the roles and pre-requisites for installation and configurationOrganize and think about your content for discovery and relationshipsDeliver learning through an optimized experience for managers and usersLeverage the power of SharePoint within Teams using Viva ConnectionsWho This Book Is ForManagement, end users, and system administrators who want to step up their knowledge management, better train and retain employees, and improve access to internal content. The book is designed for businesses that want to transform the way they learn about content and people within their organization, with the end objective of making their business grow and thrive.
Navigating the fragmented IoT connectivity ecosystem of standards, protocols, and architectures can be a challenge. Not to mention scaling a solution to a viable product. This book guides you through this fractured landscape with real world examples and projects that can be leverage for an IoT product. Backed by an overview of IoT use cases and key connectivity elements of IoT solutions, you'll gain an understanding of the breadth of the IoT landscape and the fragmentation of connectivity standards and solutions and the challenge in navigating the many standards and technologies. You'll also be able to understand the essentials of connectivity including, hardware, software, and business models. ¿IoT is essential for increasing productivity of many industries and quality of life (making the world smart and autonomous). Both wired and wireless connectivity technologies are essential ingredients in an IoT product. Writtenby Intel engineers and architects, Connecting the Internet of Things understands that connectivity is a key topic of IoT and comprehensively covers the topic from a system engineering and practical perspective.What You'll LearnUnderstand the trade offs between different wireless technologies and network topologiesUse wireless technologies in IoT productsExamine connectivity technologies and considerations on selecting it for the IoT use casesAssemble all of the components of a working solution Scale your solution to a productReview emerging connectivity technologies for addressing new use casesAdvance and optimize the performance of existing technologiesWho This Book Is ForResearchers, managers, strategists, technologists, makers, and students in the embedded and Internet of Things (IoT) space trying to understand and implement connectivity in the devices/platforms.
Build IoT solutions for the enterprise using open-source building blocks from the Eclipse IoT Working Group at the Eclipse Foundation. This book introduces you to key protocols and their implementations, such as CoAP (Eclipse Californium), DDS (Eclipse Cyclone DDS), LwM2M (Eclipse Leshan), and MQTT (Eclipse Paho, Eclipse Mosquitto, and Eclipse Amlen). You will learn about Edge Computing platforms (Eclipse ioFog, Eclipse Kanto), IoT gateways (Eclipse Kura, Eclipse Kapua), and next-generation edge native protocols (Eclipse zenoh).The book also covers production-ready platforms for digital twins (Eclipse Ditto), energy management (Eclipse VOLTTRON), contactless payments (Eclipse Keyple), and much more.Although the book discusses hardware matters, its focus is on software and relevant open standards. The book helps you understand the pros and cons of the technologies available from Eclipse IoT and how they have been used in actual deployments. The examples provided cover a variety of use cases, such as industrial automation, smart agriculture, digital buildings, robotics, and others.The book's contents follow a reference architecture encompassing constrained devices (things), edge devices (gateways, servers), and IoT Cloud platforms. For each of those three pillars, you will learn about relevant open-source components. Usage of code libraries and frameworks is explained through code samples. You will also learn how to deploy and configure platform-type components and how to leverage them. Special attention will be paid to security and edge computing throughout the book. What You Will LearnDescribe in your own words the main software components required in an IoT architectureSelect the appropriate IoT protocols, components, frameworks, and platforms for a specific projectEvaluate the connectivity options at your disposal and select the most appropriate onesExplain the value of business models focused on open-source components and deploy such models in your organizationDetermine if edge computing is relevant to a project and deploy the relevant components on an edge computing platformBuild Enterprise IoT solutions leveraging an array of open-source components and platforms using popular languages such as C, Java, and RustWho This Book Is ForDevelopers new to enterprise IoT who want to learn about fundamental technologies for that market segment and seek an introduction to relevant, open-source building blocks; experienced IoT developers who seek alternatives to the proprietary platforms they are currently using; software architects designing IoT solutions who want to understand open-source technology options
This book takes developers on a journey into the cloud with Docker and Kubernetes. It walks you through the basics of Docker containers, how they are built, run, and published, and how the Kubernetes system allows you to use containers to better manage a cloud native application. Additionally, it walks you through various issues in cloud architecture, and how to design a cloud architecture that will work with your application and your team. The book takes a unique approach, getting you immersed in each subject with tutorials, then building up your technical knowledge, and finally backing up and thinking about more big-picture issues. Part one introduces Docker, building and working with Docker images, and covering best practices for Docker Containers. Part two covers the practicalities of "cloud native¿ and managing a Kubernetes application, including a full working example. The last part covers the design of cloud and microservice architectures, includingthe use of enterprise message queues, multi-site configurations and the common values that such architectures follow.This approach accelerates learning and keeps you moving forward without leaving you behind. The appendices also contain a wealth of worthwhile reference material for routine cloud application management.What You Will LearnUnderstand Docker and containerizationGain insight into what Kubernetes isMaster essential cloud architecture design principlesDesign and implement notes for building cloud architecturesWho This Book Is ForPrimarily developers who are moving to the cloud and want to get a sense of the environment they are getting into, and developers who want to move into a larger role of cloud architecture.
This unique open access book applies the functional OCaml programming language to numerical or computational weighted data science, engineering, and scientific applications. This book is based on the authors' first-hand experience building and maintaining Owl, an OCaml-based numerical computing library. You'll first learn the various components in a modern numerical computation library. Then, you will learn how these components are designed and built up and how to optimize their performance. After reading and using this book, you'll have the knowledge required to design and build real-world complex systems that effectively leverage the advantages of the OCaml functional programming language. What You Will LearnOptimize core operations based on N-dimensional arraysDesign and implement an industry-level algorithmic differentiation moduleImplement mathematical optimization, regression, and deep neural network functionalities based on algorithmic differentiationDesign and optimize a computation graph module, and understand the benefits it brings to the numerical computing libraryAccommodate the growing number of hardware accelerators (e.g. GPU, TPU) and execution backends (e.g. web browser, unikernel) of numerical computationUse the Zoo system for efficient scripting, code sharing, service deployment, and compositionDesign and implement a distributed computing engine to work with a numerical computing library, providing convenient APIs and high performance Who This Book Is For Those with prior programming experience, especially with the OCaml programming language, or with scientific computing experience who may be new to OCaml. Most importantly, it is for those who are eager to understand not only how to use something, but also how it is built up.
This book introduces reinforcement learning with mathematical theory and practical examples from quantitative finance using the TensorFlow library.Reinforcement Learning for Finance begins by describing methods for training neural networks. Next, it discusses CNN and RNN ¿ two kinds of neural networks used as deep learning networks in reinforcement learning. Further, the book dives into reinforcement learning theory, explaining the Markov decision process, value function, policy, and policy gradients, with their mathematical formulations and learning algorithms. It covers recent reinforcement learning algorithms from double deep-Q networks to twin-delayed deep deterministic policy gradients and generative adversarial networks with examples using the TensorFlow Python library. It also serves as a quick hands-on guide to TensorFlow programming, covering concepts ranging from variables and graphs to automatic differentiation, layers, models, andloss functions.After completing this book, you will understand reinforcement learning with deep q and generative adversarial networks using the TensorFlow library.What You Will LearnUnderstand the fundamentals of reinforcement learningApply reinforcement learning programming techniques to solve quantitative-finance problemsGain insight into convolutional neural networks and recurrent neural networksUnderstand the Markov decision processWho This Book Is ForData Scientists, Machine Learning engineers and Python programmers who want to apply reinforcement learning to solve problems.
It doesn¿t matter if you are completely new to Cisco ACI or you already have some experience with the technology, this book will guide you through the whole implementation lifecycle and provide you with a comprehensive toolset to become confident in any ACI-related task. In the beginning, it¿s very important to build strong fundamental knowledge about Cisco ACI components. We'll go through underlay networking based on Nexus 9000 switches and describe the APIC controller cluster acting as the management plane of ACI. By building Access Policies, you'll see how to optimally connect servers, storage, routers, switches, or L4-L7 service devices to ACI. Then we'll properly design and implement Logical Application Policies. You will understand all the fabric forwarding behavior when using different ACI settings and architectures while getting a toolset on how to verify and troubleshoot eventual problems. This book also covers external L2 and L3 connectivity in ACI,more advanced features like integration with virtualization hypervisors and Kubernetes, service chaining of L4-L7 devices using Service Graphs, or practical approach to using REST API automation based on Python and Ansible/Terraform.Cisco ACI: Zero to Hero can additionally be used as a valuable source of theoretical and practical knowledge for all candidates preparing for CCIE DC v3.0 Written or Lab exams.What You'll LearnUnderstand network evolution and Cisco ACI components Underlay ACI networking based on Nexus 9000 switches, APIC controllers, and Application Policy ModelIntegrate ACI with virtualization hypervisors and KubernetesDynamically and seamlessly include L4-L7 service devices in communication between ACI endpoints Build ACI Anywhere: ACI Multi-Tier, Stretched Fabric, Multi-POD, Multi-Site, and Remote LeafUtilize ACI REST API with Python, related Cobra SDK, Ansible or Terraform, to develop automation and scripts on top of the ACI platformWho This Book Is ForNetwork engineers, architects, network developers, administrators or NOC technicians.
Pro Freeware and Open Source Solutions for Business is a practical guide for the small business owner seeking viable alternative to expensive commercial software packages and subscriptions. This comprehensive look at the powerful alternatives to expensive proprietary software provides an illustrated overview of no-cost software solutions.In this book you will find free and open source solutions for office productivity, PDF creation, accounting, image editing and graphic design, desktop publishing, 3D design, CAD, audio and video editing, website and blog creation, customer relationship management, point of sale, networking and security, and alternatives to the Windows and Macintosh operating systems. This guide helps free the cost-conscious business owner from the bonds of expensive proprietary software by exploring the free and powerful alternatives that exist. You can save a substantial sums of money by replacing just a few commercial software titles with free and open source solutions. Learn how with Pro Freeware and Open Source Solutions for Business today.
This book is a guide to productionizing AI solutions using best-of-breed cloud services with workarounds to lower costs. Supplemented with step-by-step instructions covering data import through wrangling to partitioning and modeling through to inference and deployment, and augmented with plenty of Python code samples, the book has been written to accelerate the process of moving from script or notebook to app.From an initial look at the context and ecosystem of AI solutions today, the book drills down from high-level business needs into best practices, working with stakeholders, and agile team collaboration. From there yoüll explore data pipeline orchestration, machine and deep learning, including working with and finding shortcuts using artificial neural networks such as AutoML and AutoAI. Yoüll also learn about the increasing use of NoLo UIs through AI application development, industry case studies, and finally a practical guide to deploying containerized AI solutions.The book is intended for those whose role demands overcoming budgetary barriers or constraints in accessing cloud credits to undertake the often difficult process of developing and deploying an AI solution.What You Will LearnDevelop and deliver production-grade AI in one monthDeploy AI solutions at a low costWork around Big Tech dominance and develop MVPs on the cheapCreate demo-ready solutions without overly complex python scripts/notebooks Who this book is for:Data scientists and AI consultants with programming skills in Python and driven to succeed in AI.
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