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BIT Social link - O'Reilly DEIJ scholarship program
@OâReillyMedia believes that innovation depends on the contributions of people with a variety of perspectives. To help members of groups underrepresented in technology develop and sharpen the skills needed to break through barriers within the field, theyâre offering 500 annual scholarships that give recipients full access to the OâReilly learning platform. Learn more and apply now!Labels: Diversity,o'reilly,scholarship,deij,
Head First Software Architecture
If you're a software developer looking for a quick on-ramp to software architecture, this handy guide is a great place to start. From the authors of Fundamentals of Software Architecture, Head First Software Architecture teaches you how to think architecturally and explores the unique challenges of software architecture. You'll learn the distinction between architecture and design and the relationship between code, components, and architectural styles. You'll also learn how to work with some common architectural styles through vivid, fun examples. Quick, easy, and entertaining, this book is a valuable introduction to the world of software architecture.Labels: Software Architecture,code,o'reilly,book,head First,
Effective TypeScript, 2nd Edition
This practical book features 83 items that give specific advice on what to do and what not to do, and how to think about the language. Author Dan Vanderkam shows you how to apply each item's advice through concrete examples. This book will help you advance from a beginning or intermediate user familiar with TypeScript basics to an expert who knows how to use the language well. Updated for TypeScript 5, this second edition includes two new chapters on type-level programming and TypeScript recipes.Labels: Ebook,o'reilly,book,typescript 5,typescript,dan Vanderkam,
Designing Machine Learning Systems in the Cloud
This course is an introduction to designing and implementing production machine learning (ML) systems that will give students the skills necessary to architect and deploy ML solutions to the cloud. This course is for anyone with at least 2 years of programming experience and familiarity with ML looking to deliver real business value with ML in real, enterprise software systems.Using Python, Docker, Kubernetes, and Google Cloud, students will learn the practical skills necessary to build end-to-end ML systems, from engineering training data, features and data pipelines to deploying and monitoring ML models for real-time inference in production.What youâll learn and how you can apply itExplain, design and implement components of a production ML systemThis course is for you becauseâŠYou're an ML practitioner interested in learning to take your models from development to production, enterprise systems.You're a software engineer looking for the specific experience required to design and build ML-powered systems.You're an ML enthusiastic looking for the theoretical and practical skills required to train, evaluate, deploy and monitors models in real-world settings.Prerequisites:2 years of object-oriented programming experience (preferably Python)1 year of experience working with a cloud provider (Google Cloud, Amazon Web Services, etc..)Beginner knowledge of systems design conceptsBeginner knowledge of data engineering conceptsBeginner knowledge of experience using linuxLabels: Kyle Gallatin,data,video,machine Learning,
Getting Started with Ansible: Learn the Basics of IT Automation in 2 hours
Ansible enables developers and system administrators to codify their knowledge, to capture IT automation processes as code, storing changes systematically. This process, also known as configuration management, makes your work predictably reliable by allowing machines to execute the code, as a remote control for the rest of the IT infrastructure. Ansible can send commands and configuration to manage all IT in your company from one central point.The simplicity and power of Ansible can help reduce the complexity in managing IT infrastructure. Ansible was designed to be so simple that co-workers can comprehend the code quickly, enhancing productivity, scalability and cooperation. This course will jumpstart your skills in using this technology. It provides examples and just enough background to grasp the power of this tool and start creating your own automation.What youâll learn and how to apply itProvide developers and system administrators with a solid foundation in using Ansible for automation and configuration managementGive participants practical knowledge and hands-on experience to effectively leverage Ansible in real-world scenariosTeach learners how to select and install additional Ansible content from vendors and the community that caters to various needsThis course is for you becauseYou're a developer interested in an overview of the lifecycle of the Ansible software.You're a developer who writes software for Linux and want to learn how to use Ansible to manage their environments.You're a junior sys admins that might want to understand automation tooling for advancement.You're a DevOps engineer tasked with automating as much as possible.You're a software architect who needs to know more about automating infrastructure.You're an IT professional adding to your tool knowledge.PrerequisitesBeginner knowledge of Linux commandsAbility to edit text files and create directoriesAccess to a Linux machineLabels: Bas Meijer,ansible,video,it Operations,
Microsoft Power Apps Fundamentals
Microsoft Power Apps provides tech-savvy employees the ability to develop business applications without coding or the use of advanced developer tools. It empowers users to create their own business apps, contributing fully functional solutions to the workplace that can be accessed and shared on practically any device. In this on-demand course, you will learn the fundamentals and best practices for working with Power Apps.Through a mix of concise presentations and demonstrations, you'll learn how to build a Power App using data from SharePoint, Excel, and Microsoft SQL Server, create a Power App from a template or a blank canvas, utilize Copilot for easier app builds, and create Power Pages websites.What youâll learn and how you can apply itBy the end of the course, the learner should be able to build applications using Power Apps and share these apps with their colleagues.This course is for you becauseâŠYou're an enterprise user of Microsoft 365 who wants to create powerful apps with minimal or no coding.You want to make it easy for your team members to access and work with data, especially when your team members are mobile or remote.You want to automate business processes using rules, table relationships, and business logic.Prerequisites:Familiarity with Microsoft Office or Microsoft 365Labels: Data,microsoft Power Platform,video,jeremy Nathan,
Coaching Fundamentals for Managers and Leaders: Simple Steps to Improve Performance
In todayâs workplace, coaching is an important strategy for nurturing skills, enhancing performance, and building confidence in team members. Beyond mere skill development, effective coaching addresses challenges proactively, preventing potential issues from snowballing. When managers maximize employee potential and surround employees with supporting talent, they position their teams to grow and help the organization succeed. In this on-demand course, youâll learn practical, actionable steps that elevate coaching prowess, fuel motivation, boost productivity, and support career success.What youâll learn and how to apply itUnderstand the fundamentals of coachingLearn the five-step model of coachingKnow how to apply coaching skills effectivelyLearn to develop a culture of coaching in your organization or businessThis course is for you becauseYou are a manager or leader and you want to develop and support your reports more effectively.You are a leadership-minded individual contributor or aspiring manager working with multiple people and you want to influence them positively, enable their learning, and support their performance.Labels: Business,sujatha Das,video,executive Coaching,
Generative AI in the Real World: Kingsley Ndoh on Improving Cancer Care with AI
What can AI do to improve healthcare? Kingsley Ndoh, founder of Hurone AI, talks with Ben Lorica about how Hurone is making cancer care more effective for people who are underserved by the medical system. He discusses how AI can streamline the medical process, both helping doctors to treat patients more effectively and making clinical trials more diverse.About the Generative AI in the Real World podcast: In 2023, ChatGPT put AI on everyoneâs agenda. In 2024, the challenge will be turning those agendas into reality. In Generative AI in the Real World, Ben Lorica interviews leaders who are building with AI. Learn from their experience to help put AI to work in your enterprise.Points of Interest0:00: Introduction.0:36: What motivated you to apply AI to cancer care? What problems are you trying to solve?1:39: We need environments for training AI models that are effective for all populations.2:31: Current oncology solutions serve advanced healthcare systems, leaving community oncology centers and international markets underserved.3:31: Lack of diversity in clinical trials means we donât have full evidence on the efficacy of drugs.5:00: What is an oncologist?6:10: Cancer is a very complex disease; every cancer is different and has its own solutions.6:43: What advantages do you bring as a domain expert?7:11: Iâve been a physician taking care of patients. I understand clinical workflows in Nigeria and the US. Iâve also been an entrepreneur since I was in high school. Iâve also worked in the global oncology space with governments and pharma companies. That network is very important.9:15: What was the situation before Gukiza [Huroneâs app]? What does Gukiza enable today?9:44: Gukiza makes care more accessible to patients and optimizes workflows for oncologists. They may have to travel long distances to see an oncologist; they may have side effects or even emergencies that are avoidable; data about events may be lost.12:53: Gukiza streamlines the process; itâs a two-way system that can be used standalone. There is a HIPPA-compliant API that can be integrated into major electronic medical records systems. Patients arenât limited to an app; there is an API for WhatsApp, Telegram, and text messaging.14:13: Patients can describe their problems. Clinicians can click a button and generate a response that they can review and send to the patient. Clinicians can also call patients, do clinical summaries, and see how patients are progressing.17:08: One should think about this as a copilot. The app makes suggestions; the physician makes the decision.17:35: There are definitely risks. We are building our model and fine-tuning it to ensure that hallucination is limited. But there is still a final human review.18:40: What if I want to use the system in a completely new country? What does it take to get the system into a viable, usable state?19:41: We conform to the countryâs guidelines for the management of patients. Cancer care is usually based on established guidelines. In the US, we have NCCN guidelines. To make sure guidelines are responsive to different regions, the NCCN looked at evidence for research done in different countries to harmonize guidelines. That gave birth to the resource stratified guidelines for regions like Sub-Saharan Africa. We donât need to customize a lot.21:38: We are also building agreements for access to de-identified cancer data. As we scale, it will get better.24:02: Health data is the most sensitive data in the world, but also the most abundant. Compared to other industries, healthcare is lagging behind. But many regions are looking for disruption and innovation and are willing to be flexible to work with us.25:20: Our solution isnât a magic bullet, but it will shift the needle.
Generative AI in the Real World: Putting AI in the Hands of Farmers with Rikin Gandhi
If you want to fine-tune your prompting skills, make sure to attend OâReillyâs Prompt to Product Showdown virtual event, led by Lucas Soares, on August 15 from 9AM to noon PDT. Youâll see how five experts use carefully crafted prompts to build minimum viable products with generative AI.Rikin Gandhi, CTO of Digital Green, talks with Ben Lorica about using generative AI to help farmers in developing countries become more productive. Farmer.Chat integrates information from training videos, sources of weather and crop information, and other data sources in a multimodal app that farmers can use in real-time.About the Generative AI in the Real World podcast: In 2023, ChatGPT put AI on everyoneâs agenda. In 2024, the challenge will be turning those agendas into reality. In Generative AI in the Real World, Ben Lorica interviews leaders who are building with AI. Learn from their experience to help put AI to work in your enterprise.Points of Interest0:00 Introduction.0:45: Digital Green helps farmers become more productive. Two years ago, Digital Green developed Farmer.Chat, an app that uses generative AI to put local language training videos together with weather data, market information, and other data.2:09: Our primary data source is our library of 10,000 videos in 40 languages that have been produced by farmers. We integrate additional sources for weather and market information. More recently, weâve added information support tools.3:38: We have a smartphone app. Users who only have feature phones can call into a number and interact with a bot.5:00: Prior to Farmer.Chat, our work was primarily offline: videos shown on mobile projectors to an in-person audience. Sending content to phones flips the paradigm: rather than attending a video, farmers can ask questions relevant to their situation.6:40: When did you realize that generative AI opened up new possibilities? It was a gradual transition from offline videos on projectors. COVID didnât allow us to get groups of farmers together. And more farmers came online in the same period.8:17: We had a deterministic bot before Farmer.Chat. But users had to traverse a tree to get the information they wanted. That tree was challenging to create and difficult to use.9:33: With GPT-3, we saw that we could move away from complexity and cost of using a deterministic bot.11:15: Did ChatGPT alert you to more possibilities? ChatGPT has scoured open internet knowledge. Farmers are looking for location and time-specific information. Even in the earliest version of ChatGPT, we saw that it had a lot of this information. Putting this world together with our video was powerful.13:07: Accuracy, precision, and recall are all important. Are you fine-tuning and using RAG to make sure you are accurate? We had problems with hallucinations even within our knowledge base. We implemented reranking and filtering, which reduced hallucinations to <1%. Weâve created a golden Q&A set.16:01: People are now talking about GraphRAG, the use of knowledge graphs for RAG. Can you create a knowledge graph because you know your data so well? A lot of concepts in agriculture are relatedâfor example, crop calendars for how crops develop. Weâre trying to build those relations into the system.17:05: We are leveraging agentic orchestration for the overall pipeline. Based on the userâs query, we may be able to answer questions directly rather than go through the RAG pipeline.18:44: Your situation is inherently multimodal: video, speech-to-text, voice; is this a challenge? Weâre now using tools like GPT Vision to get descriptive metadata about whatâs in videos. It becomes part of the database. We began with text queries; we added voiceLabels: Generative Models,audiobook,data,rikin Gandhi,
Computer Vision Fundamentals: Implementing Computer Vision Techniques Using Deep Learning
Computer Vision Fundamentals is an extensive exploration of how artificial intelligence, with a specific focus on deep learning, is driving significant advances in the field of computer vision. This course melds theory and practice, introducing everything from the foundational aspects of image processing to the hands-on implementation of advanced deep learning models in PyTorch, including applications on edge devices.In a progressively digital and data-driven world, processing, analyzing, and deriving insights from vast quantities of visual data is crucial. This course will provide you with the requisite skills and knowledge to apply computer vision techniques to a wide array of sectors, such as autonomous vehicles, facial recognition systems, medical imaging, and edge computing.The course begins with a thorough introduction to computer vision, image processing, and deep learning. It offers an understanding of how these disciplines interconnect and how deep learning enhances traditional computer vision tasks. You will then delve into the foundational mathematics that underpins neural networks and how to implement these networks using the PyTorch framework.From there, you will start building advanced computer vision applications using PyTorch, including convolutional neural networks for image classification, object detection with YOLO, semantic segmentation with U-Net, and pose estimation. Each topic will provide you with both theoretical knowledge and hands-on coding experience, ensuring a comprehensive understanding of the subject matter.Further enhancing your practical skills, the course will turn to real-world case studies. By exploring how deep learning and computer vision techniques are applied in facial recognition systems, autonomous vehicles, and medical imaging, you'll gain insight into the transformative impact of these technologies in various industries.Finally, you will engage with the principles of Machine Learning Operations (MLOps) in the context of computer vision, learning to manage machine learning life cycles efficiently. The course closes by investigating the challenges and solutions of applying MLOps in computer vision projects, such as handling image data, model explainability, and deploying computer vision models in production environments.By the end of this course, you will have a well-rounded understanding of the fundamental concepts, underlying mathematics, and practical applications of computer vision and deep learning. You will be equipped with the tools and knowledge to implement these models and solve real-world problems, giving you a competitive advantage in your software development or data science career.What youâll learnâand how you can apply itUnderstand the fundamental concepts of computer vision and deep learning and their interrelationBecome proficient in creating, training, and evaluating various types of neural networks, including convolutional neural networks, vision transformers, and generative adversarial networks using the PyTorch frameworkBecome capable of implementing advanced computer vision techniques such as object detection, semantic segmentation, and pose estimation using PyTorchBecome adept at applying computer vision and deep learning techniques to solve real-world problems and evaluate their performanceUnderstand the concept of edge computing in computer vision, be able to apply MLOps principles for managing machine learning lifecycle in deep learning and computer vision projects and recognize future trends in the field of computer vision and deep learningThis video course is for you becauseâŠYou're a software developer interested in learning to leverage deep learning models, particularly in computer vision, to build AI-powered applications.You're looking to transition from a traditional software development role into a specialized artificial iLabels: Richmond Alake,data,computer Vision,video,
Fundamentals of Apache Kafka
Empower yourself with the knowledge and skills to conquer the world of real-time data using Apache Kafka, the industry's leading streaming platform.This course is more than just technical training, it's your starting line to learning the potential of streaming data and its use cases.Youâll understand how to use Kafka to publish and subscribe to data streams, learn how to deploy an instance locally or in the cloud as well as understanding the development environments and resources available.Importantly this course will help you gain a strategic advantage by staying ahead of the curve in today's data-driven world by leveraging real-time insights to inform your business decisions.Discover the in-demand Kafka skills highly sought after by companies across industries by joining this OâReilly on demand course.What youâll learn and how to apply itLearn about Kafka key concepts and use casesIdentify the importance of event streaming and its design principlesLearn about what producers and consumers are in KafkaDeploy a Kafka Instance, create events, write messages and moreIdentify best practices for architecture, availability, and replicationConfidently navigate the Kafka ecosystem and its core conceptsBuild and manage robust real-time data pipelines using KafkaIntegrate Kafka with your existing applications and data infrastructureDevelop real-time streaming applications for various use casesBecome proficient in working with Kafka tools and APIsThis course is for you becauseYou are one of the following:Data Engineers, Data Analysts with some experience working with data.IT Professionals that need an understanding of Kafka and its architecture.Software professionals who need an understanding of Kafka to apply in deployments.PrerequisitesBasic Knowledge of Github and access to the internetBasic Knowledge of LinuxWatch video: Introduction to Apache KafkaLabels: Data,kafka,video,joseph Holbrook,
Course link - Linux Fundamentals, 2nd Edition with Sander van Vugt
Linux Fundamentals LiveLessons has more than 10 hours of comprehensive video training for you to find everything you need to build a strong understanding of working with Linux. This comprehensive video course includes coverage of Linux basics, concepts, practices, and theories, so you can get the foundational knowledge of Linux you need to start your Linux career.Labels: Courses,system Administration,o'reilly,linux,
Live course link - Generative AI for Finance
Join us and leading industry experts to learn more about next-generation AI tools and techniques at the forefront of transformation in financial services.Labels: Streaming,ai/ml,generative Ai,finance,o'reilly,ai,finops,
Free chapter link - Creating Augmented and Virtual Realities, Ch 5
Developers, artists, and designers looking to enter the field of augmented and virtual reality today have few places to turn for expert guidance. Which is why this book was createdâto help you learn how to build practical applications and experiences grounded in theory and backed by industry use cases.Chapter 5, âHow the Computer Vision That Makes Augmented Reality Possible Works,â is particularly engaging and useful if youâre a developer looking to get into spatial computing, and you want to know where the industry is heading.And you can download it right now for free.Labels: Chapter,virtual Reality,ux,o'reilly,spatial Computing,augmented Reality,user Experience,hci,3d,ar,cv,computer Vision,vr,
Head First Design Patterns, 2nd Edition
You know you don't want to reinvent the wheel, so you look to Design Patterns: the lessons learned by those who've faced the same software design problems. With Design Patterns, you get to take advantage of the best practices and experience of others so you can spend your time on something more challenging. Something more fun. This book shows you the patterns that matter, when to use them and why, how to apply them to your own designs, and the object-oriented design principles on which they're based. Join hundreds of thousands of developers who've improved their object-oriented design skills through Head First Design Patterns.Labels: Java Se 8,ebook,eric Freeman,software Design,design Patterns,book,head First,
Free chapter link - AWS Cookbook, Ch 1
WS security is a shared responsibility. As you deploy cloud resources in AWS and apply configuration, itâs critical that you understand your responsibilities and the security settings required to maintain a secure environment. But where do you start?AWS Cookbook has step-by-step recipes (and code) for addressing common AWS challenges. Chapter 1 covers best practices and use cases focused on securityâeverything from AWS Identity and Access Management (IAM) policies or enforcing IAM user passwords to blocking public access for an S3 bucket.And itâs freeâour gift to you.Labels: Cloud,chapter,cookbook,o'reilly,aws,cloud Computing,
Generative AI Foundations: Understand Generative AI Applications, Benefits, and Risks
Gain an understanding of generative AI, its applications, and its potential impact on your organizationUnderstand what prompt engineering is and why you should master itLearn how generative AI can create content on the fly, improve personalization, and automate tedious tasksExplore industry trends, interesting AI tools, and the future powered by generative AIJoin expert Altaf Rehmani to learn the fundamentals of generative AI and its real-world business use cases. You'll understand the importance of prompt engineering, discover how generative models work, and get a rundown of the tools, companies, and open source projects creating buzz in this space. Youâll gain an understanding of GenAIâs risks and limitationsâalong with strategies for mitigating themâand youâll come away with tips for successfully integrating the technology into your business processes.What youâll learn and how you can apply itLearn how generative models work, and their applications and potentialGet started on the path to mastering prompt engineeringSeparate the hype surrounding generative AI from actionable next stepsThis course is for you because...Youâre a business or technology professional whoâs curious to learn what this transformative technology portends for you and your business.PrerequisitesLook over exercise template for high-level generative AI plan (to come)Attend: Artificial intelligence: An overview of AI and machine learning (live course with Alex Castrounis)Course Follow-Up:Read: AI for People and Business by Alex Castrounis (book)Labels: Data,altaf Rehmani,video,ai Principles,
Head First JavaScript Programming, 2nd Edition
The new edition of this brain-friendly guide takes you through a comprehensive journey into modern JavaScript, covering everything from core language fundamentals to today's cutting-edge features. You'll dive into the nuances of JavaScript types and the unparalleled flexibility of its functions. You'll also learn how to expertly navigate classes and objects, and finally understand closures. But that's just the beginning. You'll also get hands-on with the browser's document object model (DOM), engaging with JavaScript in exciting ways. You won't just be readingâyou'll be playing games, solving puzzles, pondering mysteries, and interacting with JavaScript as never before. And you'll write real code, lots of it, so you can start building your own applications.Labels: Elisabeth Robson,ebook,eric Freeman,book,javascript,head First,
Report--Technology Trends for 2024
For decades, the tech industry hummed along on a predictable five-year disruption cycle. Microservices, cloud, Agileâeach marked a turning point, but the pace felt manageable. Then came 2023. One explosive AI breakthrough, ChatGPT, changed all of that.Labels: O'reilly,2024,report,content,trends,
Report link - The Next Generation of Developer Productivity
Productivity tools are remaking software development, but their value doesnât come for free. We ran a survey to find out how developers are actually using these tools today and to learn where the pain points lie. In this whitepaper, Mike Loukides dives into the data to explore how GitHub Copilot, ChatGPT, self-service pipelines, and more are improving productivityâand the challenges that still need to be overcome for organizations to take full advantage.And you can read it for free.Labels: Ai/ml,git,software Development,generative Ai,chatgpt,o'reilly,report,
Report link - Retaining and Retraining Technical Talent
Korn Ferry forecasts a shortage of 85 million skilled workers globally by 2030, leading to as much as $8.42 trillion in unrealized economic potential. And itâs being exacerbated by the high cost of collegeâUS enrollment has dropped by 1.3 million students over the last two years. How can your organization retain top talent and stay ahead of fast-moving technical transformations when facing such a skills shortage?The answer is in this new OâReilly report. And you can get it free today.Labels: Education,software Development,o'reilly,report,software Engineering,
Report link - The State of Machine Learning Adoption in the Enterprise
Download this free ebook now to see how data scientists, machine learning engineers, and deep learning engineers throughout the world answered detailed questions about their organizationâs level of ML adoption. About half of the respondents work for enterprises in the early stages of exploring ML, while the rest have moderate or extensive experience deploying ML models to production. So you get a deep understanding of the methodologies and metrics used throughout the process.Labels: Ai/ml,generative Ai,o'reilly,report,ai,machine Learning,
Course link - Certified Kubernetes Administrator (CKA), 3rd Edition with Sander van Vugt
Get the edge you need to successfully study for and pass the Certified Kubernetes Administrator (CKA) exam in this all-new video course. This 3rd edition acts as a complete study resource to help you build skills as you work your way through the course. Explore each exam objective on the CKA exam and learn how to build, run, and manage Kubernetes clusters. Expert trainer and author Sander van Vugt gives you hands-on labs to work with Kubernetes, so you have the opportunity to test your skills. The course then ends with a sample exam, allowing you to practice before taking the real thing.Labels: Kubernetes,courses,o'reilly,k8s,cka,video,certification,
Making Embedded Systems, 2nd Edition (book cover)
Written by Elecia White, an expert who has created systems ranging from DNA scanners to children's toys, Making Embedded Systems, 2nd Edition from O'Reilly is ideal for intermediate and experienced programmers, no matter what platform you use. This expanded second edition includes new chapters on IoT and networked sensors.Labels: Book,embedded,elecia White,programming,iot,
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