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Let’s be blunt: Most embedded engineers out there are stuck using outdated, built-in microcontroller solutions for networking. Why? Because they don’t know a better way exists. They don’t realize that by harnessing the power of external Ethernet modules, they could dramatically increase performance, slash development time, and unlock massive new opportunities in IoT, industrial automation, and beyond.But you’re not “most engineers,” are you?If you’ve ever found yourself frustrated by the limitations of microcontrollers with built-in Ethernet, or if you’ve ever wondered how the pros manage to scale their embedded systems into powerful, reliable networked devices, then you’re in the right place. Because in this course, you’ll learn exactly how to develop optimized Ethernet solutions using external MAC+PHY modules like the W5500—and become one of the select few who can deliver high-performance networking in embedded systems.The Secret to Getting Ethernet Right—Without Overloading Your MCUHere’s what they don’t tell you: most microcontrollers just aren’t built to handle Ethernet in a way that’s scalable and reliable. They get bogged down, and so does your project. That’s why smart engineers offload that work to external modules—and that’s where you come in.In this course, you’ll learn how to:Leverage external MAC+PHY modules to give your microcontroller Ethernet capabilities—without the headache.Optimize your system’s performance by offloading the TCP/IP stack to the W5500, freeing up your microcontroller for what it does best.Build robust, scalable systems that can handle multiple connections and real-world industrial use cases.How This Course Will Transform Your Skills (and Career)By th

Your struggle on designing Test Automation Frameworks ends here. Presenting you the only framework in the Market which is faster and easy to design with very less code. - "Robot Framework" This Framework consists of all the features what (Cucumber + TestNG) provides. This Framework by default comes with many Libraries which helps to build automation tests without writing much boilerplate code. Additionally you also have ability to build your custom Libraries with Python code. It's just not about Libraries, this powerful Automation framework automatically provides Rich HTML reports, Logging, Screenshots on failure and many more without writing single piece of code...This course mainly focus on how to design Selenium UI Tests (80%) with Robot Framework and also touches on writing API tests (20%) on high level with Robot Framework. Python is the language chosen to design the Framework as Python is widely used choice for Robot FrameworksYou can comfortably follow this course without having python basics as well. There is dedicated Section at the end of this course to brush up on Python Basics.Below is the high level content on what this course coversInstallation and Configuration of Robot FrameworkDesigning Selenium UI Tests with Robot FrameworksHow to build custom Robot keywords using Python End to end In depth examples of UI Automation with Selenium Libraries of RobotData driven testing from CSV files to automated testsImplementing Framework Parameterization with data sets to run testsExecuting tests in parallel with Robot FrameworkAutomatic generation of rich HTML reports with logging for test execution resultsAutomation screenshot capture of test failures for Selenium Web tests with Robot frameworkCommand Line execution of Robot tests with various Flag parametersSelectiv

Deep Learning adalah cabang dari pembelajaran mesin yang fokus pada jaringan saraf tiruan dengan lapisan-lapisan (layers) yang mendalam. Teknologi ini menjadi dasar dari berbagai kemajuan di bidang kecerdasan buatan, mulai dari pengenalan suara, pengolahan bahasa alami (NLP), hingga visi komputer. Dalam course ini, peserta akan mendalami prinsip, arsitektur, dan penerapan deep learning, sekaligus mendapatkan wawasan tentang bagaimana teknologi ini merevolusi berbagai industri.Course ini dirancang untuk memberikan pemahaman menyeluruh mulai dari konsep dasar hingga aplikasi praktis. Peserta akan mempelajari bagaimana jaringan saraf bekerja dengan mengacu pada struktur biologis otak manusia. Selain itu, course ini mencakup pemahaman tentang algoritma optimasi seperti backpropagation, gradient descent, dan teknik peningkatan performa model seperti regularisasi dan dropout.Peserta juga akan diperkenalkan pada arsitektur jaringan yang sering digunakan, seperti Convolutional Neural Networks (CNN) untuk pengolahan gambar dan Recurrent Neural Networks (RNN) untuk analisis data sekuensial. Tidak hanya itu, peserta akan mengeksplorasi arsitektur modern seperti Transformer, yang telah menjadi dasar model canggih seperti BERT dan GPT dalam pengolahan bahasa alami.Selain memahami teori, course ini menekankan pada implementasi praktis menggunakan pustaka populer seperti TensorFlow dan PyTorch. Peserta akan bekerja dengan dataset nyata untuk menyelesaikan berbagai tantangan, seperti klasifikasi gambar, analisis sentimen, dan prediksi data. Dengan pendekatan ini, peserta diharapkan mampu membangun, melatih, dan mengoptimalkan model deep learning yang efektif untuk kebutuhan spesifik mereka.Di akhir course, peserta akan memiliki pengetahuan yang cukup untuk memahami teknologi deep learning secara mendalam, sekaligus keterampilan praktis untuk menerapkannya dalam berbagai konteks, baik untuk penelitian maupun aplikasi industri. Course ini sangat cocok untuk pengembang, ilmuwan data, peneliti, dan sia

This Kubernetes Interview Questions Practice Test is a carefully structured course designed to help you excel in Kubernetes job interviews. Covering 180 multiple-choice questions with detailed explanations, this practice test ensures a deep understanding of Kubernetes concepts, from the basics to advanced troubleshooting techniques.1. Kubernetes FundamentalsCovers basic concepts like Pods, Deployments, Services, and Namespaces.Understand how Kubernetes orchestrates containerized applications.2. Kubernetes Architecture ComponentsLearn about the Kubernetes control plane, worker nodes, API Server, and etcd.Understand how controllers and schedulers manage workloads.3. Kubernetes Networking SecurityExplore Kubernetes networking, including ClusterIP, NodePort, and LoadBalancer services.Learn about network policies, service discovery, and Role-Based Access Control (RBAC).4. Workloads SchedulingUnderstand different workload types like Deployments, Jobs, CronJobs, and StatefulSets.Learn how Kubernetes schedules workloads efficiently across nodes.5. Storage Configuration ManagementDive into Persistent Volumes (PV), Persistent Volume Claims (PVC), and dynamic storage provisioning.Explore ConfigMaps and Secrets for managing application configurations.6. Advanced Topics TroubleshootingLearn Helm for package management and Kubernetes Operators for automation.Understand monitoring with Prometheus, logging with Fluentd, and debugging failed workloads.This practice test is perfect for freshers and experienced professionals looking to refine their Kubernetes knowledge and ace technical interv

Welcome to The Ultimate Python Bootcamp - Everything You Need to Know, a meticulously crafted course that guides you through every essential aspect of Python programming. This Bootcamp is designed to provide you an exceptional learning experience, engage you in practical applications and real-world problem-solving.What This Course is AboutPython is not just another programming language; it’s a versatile programming language used across industries, from web development and automation to data science, artificial intelligence, and beyond. In this Bootcamp, we start from the absolute basics of Python, building a solid foundation that evolves into mastering advanced concepts and real-world projects. By the end of the course, you will not just know Python; you will use it to build amazing things with confidence and expertise.Here is a brief look of what you will cover in this Python Bootcamp:Python Fundamentals: Learn the essentials of programming, setting up Python, and writing your first code.Core Programming Concepts: Variables, data types, control flow, and essential programming constructs like loops and conditionals.Data Structures: Go deep into lists, dictionaries, sets, and tuples, understanding how to efficiently store and manipulate data.Functions & Modular Programming: Develop reusable, scalable code with in-depth coverage of functions, decorators, and Python’s powerful modular structure.File Operations: Work with CSV, JSON, and text files, leveraging Python for data processing and storage.Error Handling & Debugging: Build robust applications by mastering techniques to identify and handle errors gracefully.Advanced Topics<

Intersection between the Browser Automation (Selenium Web Driver) and Web Scraping (Beautiful Soup)In this tutorial we will focus on the combination of 2 powerful libraries: Selenium Beautiful Soup. The requirement is to navigate with Selenium Web Driver to the result page where the data is strored. In the next step we have to extrct our required data with Beautiful Soup and Requests. We will use the IMDB Movie Database for this particular project. Especially for people who work with data it is important to be able to create own datasets. Often we rely on datasets from someone else. This course should show all data enthusiasts how to scrape and store data in Excel Files.After this course you will have the knowledge and the experience to scrape your own data and create your own dataset. With the help of the course resources you will always have documents you can refer to. If you have a question or if a concept just does not make sense to you, you can ask your questions anytime inside the Q A - Forum. Either the instructor or other students will answer your question. Thanks to the community you will never have the feeling to learn alone by yourself.What you’ll learnWeb ScrapingBeautiful SoupData ExtractionWeb Scraping for Data ScienceData MiningData Scraping Data CleaningSelenium Web DriverBrowser AutomationAre there any course requirements or prerequisites?Basic understanding of Python ProgrammingBasic Unterstanding of Beautiful SoupBasic understanding of Selenium Web DriverWho this course is for:Everybody who is interested in Web Scraping, for example Data ScientistsProfessionals who want to create their own dataset without being dependent on s